AI Trends from 2024 → 2025

Remember when AI was just about scheduling social media posts and basic email automation? That’s no longer the case. In 2025, AI systems don’t just execute tasks but actively shape marketing strategy and drive creative decision-making. Marketers are leveraging AI, LLMs in particular, to become more efficient and enhance their creativity.

In 2024, there was a gap in research regarding the efficacy of LLMs for marketing tasks. To bridge that gap, NoGood conducted two LLM studies examining the quality of marketing tasks based on LLM: see our March 2024 blog summary for more information. These findings provide crucial insights for marketers by helping them make an informed decision about which LLM is best for their needs to continue optimizing their AI strategy in 2025.

Technology is evolving beyond basic automation into something more intuitive and powerful. As per Statista, over 37% of marketing teams have embraced AI as a core part of their strategy. Machine learning algorithms are sophisticated enough to understand context and nuance in customer interactions. Natural language processing (NLP) has evolved to generate human-like content that resonates with each audience segment. Computer vision technology can analyze visual content and understand brand preferences at a deep level. These advancements aren’t just incremental improvements; they represent a fundamental shift in how brands can connect with their audiences.

Emerging AI Marketing Trends to Look Out for in 2025

1. AI Agents: Your Marketing Side-Kick

Hello AI agents! An AI agent acts as both your assistant and your colleague. They aren’t a single AI tool; instead, they’re a collection of tools. This means no matter an employee’s position in a company, whether a manager or an associate, each individual will have a team of AI tools that can schedule meetings, brainstorm ideas, and become an extension of your available work tools.

Ever since ChatGPT became a household name, the tech community began hinting at the potential of AI becoming more than a chatbot and instead being an integral part of daily work. Throughout 2024, these tools quietly gathered steam, and in 2025, they’re set to become an essential pillar of marketing automation.

AI agents are the center of your department’s activities. Unlike chatbots and automation tools, these sophisticated systems are revolutionizing how we approach marketing operations. They can continuously process information across multiple channels, providing data-driven insights in real-time.

For example, popular CRMs like Hubspot are using AI tools to enhance marketers’ ability to interpret and present data. It also uses Content Assistant and ChatSpot to help personalize emails, craft social media posts, and manage customer relationships.

Internal systems respond to and anticipate customer needs, creating a seamless experience across channels. Agents can automatically adjust bidding strategies across advertising platforms, optimize email send times based on individual recipient behaviors, and customize website layouts for different visitor segments. The real power lies in their ability to learn and improve over time; every interaction and transaction adds to their understanding of what works for a consumer and what doesn’t.

AI agents can break down data siloes by sharing information across services. Data can be pulled directly from CRM systems, social media platforms, web analytics, and customer service interactions.

2. Hyper-Personalization

Personalization in 2025 is beyond adding someone’s first name to an email marketing campaign. AI personalization is about creating truly individualized experiences at scale. Imagine a physical advertising campaign that automatically adjusts digital displays based on products you’ve recently purchased.

This turns data from online purchases into real life advertisements. At the moment, this may seem far-fetched, but compare this to advertisements on social media. You’re already targeted based on your online persona. The next shift in hyper-personalization is for this to arrive in the material world.

Now apply this same concept to data-driven growth marketing campaigns. Instead of solely advertising through your digital profile (social media accounts), customers could receive mobile notifications with perfectly timed offers based on their daily routines.

Hyper-personalization is embraced by top brands like Nike’s revolutionary digital strategy where they’ve increased their e-commerce conversion rates by 35%. Their system analyzes customer behavior across multiple touchpoints – mobile apps, websites, and physical store visits to create hyper-personalized product recommendations and marketing messages.

Key results:

• 3x increase in mobile app engagement
• 28% reduction in ad spend waste
• 40% improvement in customer lifetime value

3. Answer Engine Optimization

What started in 2024 is more important than ever in 2025! Brand visibility across platforms is going to be difficult as everyone tries to understand how different algorithms prioritize and choose content. Unlike traditional search engines that return a list of blue links, answer engines provide direct and contextual responses to queries. This shift requires a new approach to optimization focusing on earned sources and owned sources.

Earned sources typically align to off-page efforts. The theme of earned sources is that they’re sources where brands want to build trust and a positive reputation. This reputation will improve positioning and encourage LLMs to trust your brand as a source of information.

Owned sources refer to when brands own their content. If content that is directly written and coordinated by a brand does not align with the brand voice and user intent, then the content will not be found on LLMs. This can decrease a brand’s visibility.

By optimizing and leveraging these two sources of information LLMs will have a better understanding of your brand and be more likely to include your content as a recommended source.

Developed content should also anticipate and answer user questions, providing context and establishing brands as experts in their fields. To be successful brands need a deep understanding of how these AI systems process and evaluate information. Content should be structured with clear hierarchies using schema markup and semantic HTML to help AI systems understand the relationships between different pieces of information.

Brands should prioritize positioning themselves across LLMs such as Perplexity, ChatGPT, and Gemini. By tailoring strategies to directly target each LLM brands will stay ahead of their competition.

4. Predictive Analytics

Data-driven insights informed by AI give a deeper understanding to complex reports and data. AI-powered systems process massive amounts of data from multiple sources, forecasting customer behavior, identifying emerging market opportunities, and anticipating shifts in consumer sentiment.

AI systems recognize patterns that would be near impossible for human analysts to spot through manual analytics. Market behavior is predicted through multiple factors instead of solely customer behavior. Strategy considers weather patterns, local events, and historical purchasing data. Analytics can operate in real time, allowing dynamic strategies that adapt as things change.

Tools to Try in 2025

1. Microsoft Power BI

This AI-powered business intelligence platform combines data visualization with advanced predictive modeling capabilities, enabling users to forecast trends and make data-driven decisions. The platform is valuable for marketing teams of all sizes, from small businesses to enterprise organizations, as it simplifies complex data analysis and automates reporting processes without requiring extensive technical expertise.

With its ability to provide real-time campaign tracking, enhanced targeting capabilities, and predictive analytics powered by AI, Power BI is emerging as a must-watch marketing technology that can help businesses stay competitive by turning their marketing data into actionable insights that drive better ROI.

2. Alteryx AI

This enterprise analytics solution combines generative AI capabilities with data analytics tools, enabling organizations to automate workflows and extract meaningful insights through natural language interactions with their data. The platform is valuable for enterprises seeking to democratize data analytics across their organization, as its AI-powered features like AiDIN Copilot make sophisticated data analysis accessible to both technical and non-technical users.

With its track record of significantly reducing time-to-insight for over 8,000 customers and its commitment to responsible AI development, Alteryx is positioned as a transformative technology that’s reshaping how businesses approach data analytics, making it especially relevant for organizations looking to build a more data-driven culture while maintaining enterprise-grade security and scalability.

3. Aaru – Lumen

This new company has been at the forefront of harnessing the power of AI to make predictions across the political sphere and the private sector. Their flagship model for the private sector, “Lumen,” configures audiences to predict customer persona behavior. Using a multi-agent approach, Aaru is truly thinking innovatively to create simulations based on events that haven’t yet happened. Although Aaru is a new company, it’s emerging as a must-watch in 2025 due to their innovative and technologically advanced approach to data.

5. Specialized AI Tech

While generative AI and LLMs grab headlines, specialized AI technologies are doing the real work. They are purpose-built AI systems designed to excel at particular tasks, often outperforming more general-purpose AI solutions.

Computer Vision for Brand Monitoring

Advanced computer vision AI can analyze visual content across social media, websites, and video platforms to track brand presence, monitor competitor activities, identify emerging trends, and track brand positioning. The technology recognizes logos, products, and brand elements even when they’re not explicitly tagged or mentioned in text.

With this technology, brands receive improved insights into their positioning and can leverage observations to improve their product and keep up with trends in the market. Computer vision also gives customers and brands insights into product placement and allows for direct purchasing even when brands aren’t explicitly mentioned.

Emotion AI for Customer Experience

Sophisticated emotion AI systems can analyze customer interactions across multiple channels to understand emotional responses and sentiment. This goes beyond simple positive/negative sentiment analysis to recognize complex emotional states and their implications for customer behavior.

Brands can utilize this information to better understand their customers’ personas. An improved understanding allows brands to speak to consumer needs instead of just reacting to positive and negative reactions to products.

Voice AI and Sonic Branding

As voice interfaces become more prevalent, specialized AI systems are helping brands develop and maintain consistent sonic branding across all touchpoints. These systems can analyze voice interactions for emotional resonance and brand consistency, while helping to create voice-optimized content. A more consistent brand image will improve the brand’s positioning and improve visibility towards customers.

Preparing for Success in 2025

Success in 2025 will belong to brands that can harness generative AI and AI marketing trends while maintaining an authentic connection with their audiences. The key is finding the right balance between automation and authenticity, between innovation and trust.

To best find that balance, marketers should understand two things about AI technology. First, AI tools can make your job easier and better. By using an AI agent, employees will feel empowered to make their own decisions and be more efficient with their time by delegating tasks to AI instead of taking them on themselves. Secondly, brands that harness AI through predictive analytics and specialized AI tech will be in a better position to connect with their consumers.

Taking Action in 2025

1. Evaluate your current AI capabilities – Do you currently use AI? If so, how? Are all employees utilizing AI to the best of its ability?
2. Identify areas where AI can add the most value – Would it be valuable for your company to create an AI agent protocol? Does this mean your tech stack always includes AI, and if so, how is this implemented?
3. Develop a clear implementation strategy – Does everyone have the same tech stack available to them? Do certain team members need access to different tools?
4. Train your team on new AI tools and approaches and implement them into your standard operating procedures.

At NoGood, we are pioneers of AI using new technology to be more efficient and provide our customers with an AI optimized experience.

Ready to improve your marketing strategy in 2025?

The post AI Marketing Trends to Watch in 2025 appeared first on NoGood™: Growth Marketing Agency.

While ChatGPT is a game-changer, it still has limitations, especially if you want to have advanced integration opportunities. ChatGPT can do most things you’ll ask of it, and yet, that doesn’t mean it does anything exceptionally well. Instead, it has general capabilities with a slightly above average result. Sure, it’s still great for the type of broad tasks that most audiences look for, but it doesn’t quite go above and beyond when needed. 

Thomas Kurian, the CEO of Google Cloud, stated that Google reported over 2 million developers are already leveraging AI APIs to build customized solutions, indicating a clear trend toward specialized AI tools. From enhancing productivity with Microsoft Copilot to crafting perfect marketing content with Jasper AI, there are more than one AI tool to serve your specific needs.

We’ll dive into the top 10 ChatGPT alternatives, comparing their strengths, weaknesses, and key features to help you make the most informed choice!

The Best ChatGPT Alternatives: Quick Selection Guide

Evaluation Criteria

Choosing the best ChatGPT alternative depends greatly on your specific needs. Each of the alternatives included in this list have been evaluated for any special AI capabilities, the quality of their information, how well the information is processed, response quality, contextual awareness, ease of integration, and ease of use. Each section includes an outline of the AI model, key features, limitations, and pricing structure. The below list is not written in order of preference; instead, the specialized feature highlights where each AI tool shines.

Top 10 ChatGPT Alternatives

Google Gemini: Best for Workspace Integration

If you’re looking for an AI assistant that can integrate seamlessly into your Google ecosystem, then Gemini is your perfect tool. It integrates easily into the Google Workspace and can impressively handle multiple types of content ranging from text and images to complex data analysis.

Key Features

• Multimodal Processing: Handles complex analysis across text, images, and code while maintaining context and relationships between different content types.
• Google Workspace Integration: Provides native connectivity with Gmail, Drive, and other Google apps, enabling seamless workflow automation.
• Real-time Collaboration: Facilitates team coordination through smart meeting summaries, shared document analysis, and collaborative editing.
• Advanced AI Understanding: Offers sophisticated reasoning capabilities that can break down complex problems into manageable steps.
• Cross-Platform Accessibility: Delivers consistent performance across desktop, mobile, and web interfaces.

Industry Specific Applications

For enterprises, Gemini transforms daily operations by automating document processing, providing intelligent meeting summaries, and streamlining project management workflows. In education, it serves as a comprehensive teaching assistant, supporting curriculum development, student assessment, and research initiatives with advanced analytical capabilities.

Limitations

• Gemini requires a Google Workspace subscription for full functionality.
• It has limited integration options outside the Google ecosystem.
• The featured availability varies by region.
• The advanced features may require a significant learning curve before you can take full advantage of Gemini’s offerings. 

Pricing Structure

• Free Tier: Basic features with usage limits
• Professional: $19.99/month
• Enterprise: Custom pricing
• Add-ons: Additional capacity and features available

Claude: The Research and Analysis Expert

Claude has a unique position in the AI landscape by focusing on depth and nuance in research analysis. It takes a more human-centered approach with a unique perspective. Its ethical AI approach and impressive 200,000 token context window allow it to handle complex, detailed discussions with in-depth understanding.

Key Features

• Advanced Language Processing: Leverages a 200,000 token context window to maintain comprehensive understanding throughout long conversations.
• Research Tools: Provides sophisticated analysis capabilities for academic papers, technical documents, and complex datasets.
• Ethical AI Framework: Implements robust safety measures and bias controls while maintaining transparency in its operations.
• Citation Management: Offers integrated citation handling and reference tracking for academic and professional writing.
• Collaborative Features: Enables team-based research and writing with shared context and version control.

Industry-Specific Applications

In academic fields, Claude excels at analyzing research papers, conducting literature reviews, and assisting with academic writing. Professionally, Claude can process legal documents, provide technical specifications, and write policy papers with high accuracy and attention to detail.

Limitations

• No built-in image generation capabilities and limited visual content analysis.
• Higher latency when processing complex requests.
• The knowledge cut-off date limits Claude’s ability to provide up-to-date information.

Pricing Structure

• Free: Basic access with limited features
• Pro: $20/month
• Team: $25/person/month
• Enterprise: Custom pricing

Microsoft Copilot: Best for Microsoft 365 Users

Deep integration capabilities by Microsoft Copilot are transforming the Microsoft Office experience. Built on OpenAI’s powerful models, it provides contextual assistance across the entire Microsoft 365 suite, making it indispensable for organizations heavily invested in the Microsoft ecosystem.

Key Features

• Office Suite Integration: Seamless functionality across Microsoft 365 products.
• Intelligent Document Analysis: Advanced understanding and processing of business documents.
• Meeting Intelligence: Automated meeting summaries and action item tracking.
• Data Analysis Support: Smart formula suggestions and data pattern recognition.
• Cross-Application Context: Maintains material context across different Microsoft applications.

Industry-Specific Applications

Ideal for professions where Microsoft 365 is the primary productivity suite and especially beneficial for corporate communications, data analysis, and project management.

Limitations

• Requires Microsoft 365 subscription and limited functionality outside Microsoft
• Can be resource-intensive
• Some features require additional licensing
• May have compatibility issues with older file formats

Pricing Structure

• Basic: Included with Microsoft 365 subscriptions
• Copilot Pro: $20/month
• Enterprise: Custom licensing options
• Add-on Services: Available based on specific needs

Perplexity AI: The Research Powerhouse

Perplexity AI excels in providing fact-based, research-driven answers with no knowledge cut-off date. Citations are provided directly in the search so users can access the sources and verify the information, making it a trusted tool for researchers and professionals.

Key Features

• Real-time Information: Access to current data and news
• Source Verification: Automatic citation and source tracking
• Multi-Source Analysis: Compares and synthesizes information from various sources
• Academic Integration: Specialized features for academic research
• Interactive Citations: Clickable sources for deeper exploration

Industry-Specific Applications

Particularly valuable for academics, journalists, researchers, and professionals requiring verified, up-to-date information.

Limitations

• It can be overwhelming with too many source citations, especially because you need to confirm whether the source was properly cited.
• Search results may sometimes be too broad.
• Limited creative writing capabilities.
• Response time can be slower due to real-time web searches.
• May struggle with highly specialized technical queries.

Pricing Structure

• Free Tier: Basic search and analysis capabilities
• Pro: $20/month
• Team: Custom pricing
• Academic: Special pricing for educational institutions

Goodie: Content Creation and Answer Engine Optimization Powerhouse

Goodie’s proprietary tech stack creates highly specialized content for brands based on their brand identity. It also tracks brand visibility across answer engines, supporting brands’ initiatives to optimize their content using answer engine optimization (AEO) techniques.

Key Features

• Advanced Brand Voice and Author Stamp: Ability to customize content based on brand identity, providing context-specific material based on existing material. 
• Answer Engine Visibility: Track and follow your brand’s visibility across LLMs.
• Optimization Recommendations: Highly specific recommendations based on predictions and brand positioning.
• Competitor Analysis: Analysis of competitor positioning and recommendations for brand improvement.

Industry-Specific Application

Marketers, brands, and content teams can leverage Goodie to stay visible across answer engines and create brand-specific content.

Limitations

• Currently in Closed Beta

Pricing Structure

• Contact Goodie for more information.

Meta AI: The Social Media Integration Expert

Meta AI revolutionizes social media management by providing deep integration with Meta’s platforms (Facebook, Instagram, WhatsApp). Its ability to understand social media context and generate platform-appropriate content makes it invaluable for social media professionals.

Key Features

• Cross-Platform Integration: Seamless functionality across Meta platforms
• Visual Content Analysis: Advanced image and video understanding
• Engagement Optimization: AI-driven posting time and format recommendations
• Automated Responses: Intelligent comment and message handling
• Analytics Integration: Deep insights into content performance

Industry-Specific Applications

Essential for social media managers, influencers, and businesses heavily invested in social media marketing.

Limitations

• Limited to Meta platforms only
• Privacy concerns with data handling
• Regional availability restrictions
• Language support limitations
• Requires active social media accounts

Pricing Structure

• Free: Basic features for personal use
• Business: Integrated with Meta Business Suite
• Enterprise: Custom solutions for large organizations

Amazon Q Developer: The Developer’s AI Assistant

Amazon Q Developer stands out as a specialized coding assistant that revolutionizes software development. Built on Amazon’s vast repository of code patterns and best practices, it provides real-time coding suggestions and automated solutions for developers.

Key Features

• Real-time Code Generation: Intelligent code completion and suggestions
• Multiple Language Support: Covers major programming languages and frameworks
• Security Scan Integration: Built-in code security analysis
• AWS Service Integration: Seamless connection with Amazon Web Services
• Context-Aware Suggestions: Smart code recommendations based on existing codebase

Industry-Specific Applications

Essential for software development teams, particularly those working with AWS services and requiring secure, efficient code generation.

Limitations

• Primarily focused on AWS ecosystem
• May suggest outdated code patterns
• Limited support for newer programming languages
• Requires active review of security suggestions
• Can be overly cautious with code generation

Pricing Structure

• Individual: Free for individual developers
• Professional: $10/month
• Enterprise: Custom pricing for teams
• AWS Integration: Additional benefits for AWS users

Jasper AI: The Marketing Content Creator

Jasper AI specializes in marketing content creation, offering a sophisticated platform for generating brand-consistent, SEO-optimized content at scale. Its understanding of marketing principles and ability to maintain brand voice sets it apart from general-purpose AI tools.

Key Features

• Brand Voice AI: Advanced tone and style customization
• Marketing Templates: Extensive library of pre-built marketing formats
• SEO Integration: Built-in optimization tools and keyword analysis
• Multi-Format Support: Handles blog posts, social media, ads, and email
• Team Collaboration: Robust features for marketing team coordination

Industry-Specific Applications

Perfect for marketing agencies, content teams, and businesses requiring consistent, high-volume content production.

Limitations

• Higher pricing compared to general-purpose AI tools
• Steep learning curve for advanced features
• May produce repetitive content without proper guidance
• Limited capabilities outside marketing content
• Requires regular prompt refinement for best results

Pricing Structure

• Creator: $39/month
• Team: $99/month
• Business: Custom pricing
• Enterprise: Tailored solutions

Writesonic: The Cost Conscious Content Solution

Writesonic combines content creation with marketing intelligence, offering a powerful platform for generating various types of written content. Its strength lies in understanding marketing context using a model-agnostic AI engine that selects the best model based on the task. The platform is user friendly, especially for beginners that are less well-versed in AI platforms.

Key Features

• Multi-Format Content: Support for blogs, ads, product descriptions. Features multiple templates for content.
• SEO Optimization: Built-in SEO tools and keyword research
• Brand Voice Customization: Adaptable tone and style settings
• Automated Workflow: Content calendar and scheduling features, with integration across platforms.
• Performance Analytics: Content effectiveness tracking

Industry-Specific Applications

Ideal for content marketing teams that are learning how to embrace AI. Particularly useful for smaller e-commerce businesses, and digital marketers needing consistent, high-quality content produced quickly across channels.

Limitations

• Content may require significant editing
• Limited support for technical content
• Template system can be restrictive
• Higher pricing for advanced features
• May struggle with highly specialized topics

Pricing Structure

• Free Trial: Limited content generation
• Basic: $16/month
• Professional: $79/month
• Enterprise: Custom solutions

You.com: The AI-Powered Search Alternative

You.com reimagines search with AI-driven personalization and comprehensive results aggregation. It stands out through its ability to combine traditional search with AI-powered insights and analysis.

Key Features

• Personalized Results: Learning from user preferences
• Multi-Source Integration: Aggregates information from various platforms
• Code Search Specialization: Enhanced developer-focused search capabilities
• Privacy Focus: Enhanced data protection and user privacy
• AI Apps Integration: Access to specialized AI tools within search

Industry-Specific Applications

Valuable for researchers, developers, and professionals requiring comprehensive, personalized search capabilities.

Limitations

• Search results can be overwhelming
• AI features may not work in all regions
• Limited customization options
• Can be slower than traditional search engines
• May prioritize certain sources over others

Pricing Structure

• Free: Basic search features
• Premium: $15/month
• Team: Custom pricing
• Enterprise: Tailored solutions

Comparative Insights

How to Choose the Right ChatGPT Alternative

Even though ChatGPT remains a powerful general-purpose AI tool, these alternatives offer specialized capabilities that can better serve specific needs. The key to making the right choice is identifying your primary use case and matching it with the right tool’s strengths. Consider your existing tech ecosystem, specific features and requirements, budget constraints, and integration needs.

Unlike other tools with AI resources, you aren’t limited to just one tool. Most professionals combine multiple AI assistants to create a full-service toolkit that can cover all your needs. So remember to keep an open mind, weigh your options, and choose the ones that are right for your needs!

FAQs

The post Finding the Top ChatGPT Alternative: 10 Best Options in 2025 appeared first on NoGood™: Growth Marketing Agency.

AI visibility ensures your brand stays at the front of search pages whether they’re conducted on traditional search results pages like Google or on answer engines like ChatGPT. The more intertwined AI and traditional search become, the more crucial it will be to track technological changes and swiftly adapt your SEO strategy.

As AI reshapes how users find information, traditional SEO tactics alone won’t be enough. This doesn’t mean you need to abandon your current SEO strategy. There are many similarities between traditional and AI-informed search that can make it easier to understand and move forward with an AI-based strategy.

Similar to traditional SEO, becoming the top search result is essential for your brand to stand out against its competitors, especially with Google’s “winner takes all” attitude with AI overview. However, to ensure AI visibility, your content should be the most relevant answer to a user’s query. You should take a fresh approach, where improvisation and adaptability are essential. Marketers who embrace answer engine optimization (AEO) and AI visibility optimization will have improved relevance and greater influence.

So, if you’re looking to stay ahead of the curve and have an edge over your competition, it’s time to plan an AI visibility optimization strategy.

What is AI Visibility?

AI visibility ensures your brand is not only discoverable but also prominent across AI platforms. Whether it’s text, audio, or video, AI visibility drives your content to the top, engaging users across large language models (LLMs) and answer engines.

First, find out where your brand ranks and if it’s visible on an LLM by asking the LLM a simple question: “What is the top [insert your industry] company?”

At NoGood, we’ve worked to be visible on LLMs. On October 9th, 2024, NoGood was listed as the number one growth marketing company across Perplexity, Gemini, and ChatGPT. The screenshots below were taken on that day.

Now, this isn’t to say your rankings won’t change. This is why it’s essential to continually check where your company is ranking and if your company is showing up on each of the LLMs.

AI Visibility Across Modalities

AI visibility isn’t only about showing up as a result from an LLM; it’s also about being heard and understood.

Beyond text, audio and video content should be optimized to seamlessly transcribe, tag, and recommend your brand. The key is to ensure your content finds its way to the right audience. You don’t want just anyone accessing your site; you want the right users finding your brand.

Addressing AI visibility across modalities first requires an understanding of what the different modalities are: visual, textual, and audio.

Visual Modality

1. Image Processing: the ability for AI to analyze static images and detect faces and objects as well as read text.
2. Video Analysis: AI’s capability to process video streams, tracking motion, identifying activities, and understanding temporal visual information. Creating video content and using AI to process video information.
3. Computer Vision: the ability for machines to gain a higher level of understanding from digital images or videos, with the aim of mimicking human capabilities. At the moment, computer vision isn’t a main modality since it’s mostly still in the development stages.

Textual Modality

1. Natural Language Processing (NLP): This modality is one of the most discussed since it focuses on user intent and conversational abilities. SEO, AEO, and AI visibility optimization experts look to understand what NLP is and how it changes their strategies.
2. Machine Translation: Automatic text translation between different languages.
3. Text Generation: LLMs generate human-like text from prompts that can be used for a variety of purposes. For example it can be used for  creative writing and technical documentation. This modality has been popularized by LLMs like ChatGPT with over 100 million weekly users.

Audio Modality

1. Speech Recognition: AI-powered tools convert spoken language into text. This development goes beyond traditional dictation as it understands more of the context and intent of the words instead of writing verbatim what is spoken.
2. Voice Synthesis: Human-like speech can be generated from text input. This voice synthesis is becoming more conversational.
3. Audio Analysis: AI can listen to music, sounds, and other audio and describe and identify patterns.

Your brand must stay visible across the different modalities. Understanding these modalities and improving user experience will help your brand stand out.

Why AI Visibility Matters for Brands

Simple: it’s about staying ahead of the curve. Technology is evolving quickly. Search engines are transitioning into answer engines, giving users a direct response instead of blue links. We are in the Search 3.0 era. You want your brand to be the one giving answers to answer engines. You must be visible!

Consumers expect instant answers, so brands need to position themselves as the go-to resource. AI visibility makes that possible by aligning your brand’s content with AI search parameters. It’s like having a direct line to your audience, delivering exactly what they need, when they need it.

Evolution from Search Engines to Answer Engines

Before actually exploring how to optimize for AI visibility, let’s take a step back and explore the shift from search engines to answer engines. The evolution from search engines to answer engines can be compared to swapping a librarian for a personal assistant. An individual’s search habits are being predicted, and usable answers are provided.

Traditional search engines were more about indexing & retrieving data based on keywords. You’d type in a query, and a list of links would be tossed back. Now, AI-driven answer engines are upping the game. The focus is on delivering direct answers so the user doesn’t need to sift through that list of blue links.

User intent is driving this shift. Users want solutions, not sources. Think of Google’s AI overview that anticipates what you’re asking, giving concise responses at the top of the search page. The format mimics a conversation. Search is becoming more of a human interaction than a cold search for links. To adapt to this change, brands need to rethink their strategies, focusing on providing the specific answers users seek.

AI technology is transforming how information is processed and presented. Answer engines understand context and nuance of human language better than ever, making them feel more intuitive.

The implications of this new search structure is huge. Sure, it doesn’t mean throwing away your old strategies, but it does mean thinking about adapting your strategies for answer engines. Brands need to be right there, front and center in AI-driven results. The emphasis should be two-fold. Getting to the top of the search results AND owning your brand narrative.

You want your brand to be the go-to company when users search in your category. So, as these technologies evolve, so must your strategies to ensure your brand remains a key player.

Understanding AI Visibility Optimization

AI visibility optimization (AIVO) is the process of crafting content and strategies that appeal directly to the AI algorithms powering modern search engines. Unlike traditional SEO, which revolves around following a set of rules, AIVO encourages marketers to embrace flexibility & improvisation. 

Two key elements that AI-driven search engines prioritize is context and intent. Understanding these two qualities is essential for any optimization strategy. For text specifically, think beyond keywords – consider how AI interprets intent and context.

Intent

Intent is the purpose behind a user’s query. Mainly, what are they genuinely trying to achieve or understand? Crafting content that aligns with user intent means anticipating potential questions, providing direct and actionable answers, and integrating a seamless journey towards a user’s goal.

Context

There are surrounding factors influencing a user’s interpretation of content. For example, this may be driven by a user’s previous interaction, location, or query phrasing. Ensuring your content fits into a broader ecosystem of relevant and interconnected topics can help AI understand when and why your content is the right answer for a user.

When creating content, consider the broader picture and how your brand fits into your respective field. Use research on user personas to develop content that can provide the best answers to your intended user compared to your competitor. By focusing on context and intent, your content won’t just be seen, it’ll be understood. This is an essential game-changer for relevance and influence.

To be relevant, your brand must be an insightful and engaging option for a user. By optimizing for AI visibility, you can set your own rules and amplify your brand’s voice apart from the crowd. AIVO offers benefits that traditional SEO can’t match. So, if you’re looking to keep up with technology and follow trends, you must have an AIVO strategy!

Looking for guidance in navigating AI search?

Adapting to AI-Driven Search

Let’s face it – AI is everywhere and it’s only going to grow. It’s changing how we search online. Looking at the growth in the number of users on LLMs (like ChatGPT and Perplexity) and using AI voice assistants like Siri and Alexa is remarkable. With over 8.1B visitors over time, ChatGPT has led LLM growth metrics and has peaked user curiosity.

The research company Gartner predicted a 25% drop in traditional search volume by 2026, thanks to AI. So how do you adapt and stay relevant?

1. Focus on maintaining high SERP rankings. This still matters in an AI world. Staying visible in AI overview and on other answer engines is still influenced by your brand’s position in SERPs.
2. Hone in on long-tail keywords. This way, you can capture niche queries that users often go to LLMs to find answers for.
3. Don’t throw out your old SEO playbook. You’re just supplementing it with an updated strategy targeted to LLMs. Traditional SEO practices still hold their own weight. The key is to blend them with your AI tweaks to cover all bases. 
4. Ensure optimization for human and AI audiences. Remember that AI is trained to understand human intent so optimizing for conversations and human interaction is likely to help your brand’s relevance.

Studies conducted by Authoritas show unique overlap between traditional and AI-driven rankings. Integrating both approaches can boost your visibility across the board. So, don’t shy away from using tried-and-true SEO tactics while exploring the AI realm. Do, however, let your SEO strategy adapt to changes, especially in the wake of algorithm changes with AI.

How to Measure AI Visibility

Today, measuring AI visibility is mostly conducted through labor intensive manual searches. AEO specialists have to conscientiously follow and record how their brand is performing across LLMs. Some analytics websites are starting to provide tools that measure visibility across individual platforms. For example, Ahrefs now tracks AI overview and provides insights based on your content’s visibility and whether it triggers AI overview or not. 

At the moment, there are few systems that have comprehensive capabilities for tracking AI visibility, but this is changing quickly. Companies want to find a way to move from manually tracking their visibility to having a dashboard automatically updated with reports on their visibility. Innovative companies like Goodie are supporting brands in developing an AI brand narrative focusing on positioning brands on the new digital shelf of AI answer engines.

Staying Visible on AI

Organic search is shifting and those who adapt will thrive! Work on embracing AI search without losing sight of the fundamentals of SEO. This will keep your brand in the spotlight even as AI continues to evolve.

To truly stay ahead of your competitors, follow guides on how to optimize and rank on specific answer engines like Gemini, ChatGPT, and Perplexity.

Remember to integrate tried-and-true practices with AI strategies to create a holistic approach. This ensures your brand shines no matter where your audience finds you. AI isn’t just a trend or buzz word; it’s the future. By leaning into AI visibility, you’re not just keeping up with the competition – you’re setting the pace.

At NoGood, we can help guide you through your AI visibility strategy.

The post AI Visibility Optimization: The New Frontier for SEO and Brand Marketing appeared first on NoGood™: Growth Marketing Agency.

In this blog post, we break down why Perplexity needs to be a part of your search engine optimization (SEO) and answer engine optimization (AEO) strategies outlining how to rank on Perplexity and optimize your content. We also outline 3 helpful tips on how to use Perplexity to help your brand’s SEO strategy.

Looking to increase your brand’s organic visibility through answer engines?

Why Perplexity should be part of your SEO & AEO Strategy

Perplexity AI has an opportunity to be a go-to search engine for users, currently hosting around 10 million active monthly users. There is still a lot of space for growth but it’s clear users are interested. Perplexity uses retrieval augmented generation (RAG) and Large Language Model (LLM) to give users a clear summary of relevant topics. Perplexity’s data has no cut-off date and can access the web for current information. This makes it a competitor of Gemini and the incoming SearchGPT. Since each of these AI-powered search engines has different knowledge cut-offs and retrieves information from differing sources, marketers need to create tailored strategies for AI-powered search.

SEO is changing and AEO is the next step that brands and marketers must take seriously. Users want a search experience that is more of a conversation, allowing for follow-up questions as if they were in the room with the answer engine. Perplexity’s goal is to do just that. Create a conversation with a user. This change means regular SEO can no longer be relied on to rank in AI search engines. Brands and marketers have a problem, how to rank when companies like Perplexity no longer follow the same ranking as Google?

How to Rank on Perplexity

Similar to ChatGPT, Perplexity relies on quality content that comes from authoritative voices. Unlike other search engines, say Gemini, Perplexity gives a lot of value to sources that are user-generated such as Reddit. If you ask Perplexity how it ranks user-generated content it will tell you that user-generated content should be looked at together with authoritative websites. This answer emphasizes Perplexity’s desire to center its content around the user’s intent while still weighing experience and authority.

What Is User Intent and Why Is It Important?

Understanding the underlying reasoning for a user’s query lets your brand create material that is relevant and practical to a user. Understanding these types of users can help you create better content related to their needs. It can improve your search rankings, give users a better experience, and increase conversions. There are four types of user intent:

• Informational Intent – This query would be asked to find definitions and learn more about a topic. For example, “What is an AI-Chatbot?”
• Navigational Intent – A user wants to find a website or specific webpage. For example, “TikTok login.”
• Transactional Intent – The user wants to purchase a product or complete an action. For example, “I want to buy a computer”
• Commercial Intent – A user is conducting research about a product or service before making a purchase decision. For example, “What are the best Fintech companies 2024.”

Keep these different user types in mind when optimizing for Perplexity and when using Perplexity for SEO.

4 Ways to Optimize Your Content for Perplexity

1. Build Presence on Online Communities

Encourage reviews

Incentivize consumers to post reviews on websites after positive experiences with your company. The goal is visibility. The more your brand is mentioned on review sites the higher chance you will have of Perplexity picking up your brand. Many review sites are industry specific. By prioritizing sites that fit your business you’ll reach your target audience.

Actively contribute to industry-specific conversations

Post on sites like Reddit, Quora, and other niche communities that align with your business either under your business name or through a representative. This drives brand engagement and can alert you of any concerns consumers have with your product. For instance, if you’re in tech, contributing to subreddits like r/technology or answering questions about your product on Quora in tech-related spaces will enhance brand visibility. Create community-driven spaces to engage directly with customers. Since Perplexity often pulls sources from user-generated content the more your brand is discussed the more likely Perplexity will pick up information about your product.

Respond to all reviews

Answer engines like Perplexity favor content that is human-centered and focuses on content that answers both the original query and has answers ready for potential follow-up questions. By responding to reviews, both positive and negative, you can drive engagement with your brand by showing that you care about your consumers. Perplexity takes this information into consideration when deciding its sources for a question. More engagement with your brand from real consumers adds credibility to your company.

2. Build Presence on Authoritative Websites

Specific to your industry

Prioritize content generation on websites that specialize in your industry. Look for sites with high traffic, good domain authority, and strong community engagement. For example, companies that work in the Fintech space should ensure they are listed on reputable sites such as NerdWallet and The Motley Fool, contributing to articles like “Best personal finance Apps” or “Top 10 Fintech Startups to Watch.” Types of content:

• Product Reviews: Request that your product be reviewed by leading websites through paid partnerships
• Top 10 Lists: Aim to be featured in lists related to your industry.
• Comparison Posts: Write content comparing your product to competitors. Posts that include competitor comparisons will be more likely to rank on Perplexity for questions asking to compare top products to each other.
• Case Studies: Share examples of how your product helped a customer or how your product fills a need in your industry.

Interviews with experts in the field

Similarly to Google Perplexity values experience and expertise. Writing content with experts is a way to increase your chance of ranking as a source on Perplexity. Steps to consider when creating content with an expert.

• List relevant qualifications, certificates and expertise to highlight expertise.
• Ensure links to published content, guides, and whitepapers that cover the topics to establish your brand’s credibility.

3. Quality and Style of Content

High-Quality Content

Write fresh content about your brand on topics you haven’t written about in the past. The content should be comprehensive, cover topics in detail including definitions and preemptively address topics of confusion in your post. Content should support your brand’s objectives and goals instead of creating a lot of content, yet missing the substance.

User-centered

Create content that can answer multiple questions within one content piece. To optimize for Perplexity your web page should address multiple questions that could be asked in a sequence to each other. One way of finding what sort of questions a user would ask as a follow-up would be by asking Perplexity a question related to the topic you are writing about. After the generated content there is a list of questions that are “related”. You can use this list to make sure your content can answer any one of these questions.

If you have one piece of content that addresses topics in multiple questions, perplexity is more likely to recommend your product/ content to the user. Web pages can be structured to answer multiple questions using clear headers and shortlists that directly and clearly answer one or more of these follow-up questions.

Clarity

Text should be written for both humans and AI, promoting natural language processing. This means your text could be easily read aloud, like when speaking or easily summarized by AI. There are certain similarities between having high-quality content and making sure it is clear. Things like having lists, definitions, and headings with subheadings will improve the clarity of your content. Perplexity can easily summarize this information and provide users with a shortened version of your content.

4. Detailed FAQs

Top 3 Tips on How to Use Perplexity AI for SEO

1. Keyword Searching

Use Perplexity to search for keywords that are popular in your industry and related to your target audience.

1. The first step is to choose your focus area on Perplexity. This will tailor your search to a specific context.

2. Create a Prompt that is clear and specific. For example, “Give me 20 keyword ideas for [your topic]”

3. To make your prompt even clearer, you can include specific parameters such as “low competition keywords.” Once a list of keywords is created, you should look at the follow-up questions suggested by Perplexity to help identify topics and categories that you might not have originally considered.

2. Reverse Engineer User Intent

First, create a question related to your brand or your offered products. Decide which of the four types of users you are targeting. Users ask informational, navigational, transactional or commercial questions. Ask Perplexity these questions and it will generate a summary with links. At the bottom of the page there is a list of additional questions that users could ask related to your question. This is a hint at what people are interested in searching for.

3. Check Content for Clarity

Use Perplexity to check how well your written content will perform using defined SEO criteria. Give Perplexity a checklist and ask it to check whether it recommends different headlines that would perform better or if there is any content missing. For example, things that you can include in your checklist if asking Perplexity to check your headline are:

• Keyword inclusion: make sure your keyword incorporates your primary target keyword.
• Length optimization: headline shouldn’t be more than 55 characters.
• Clarity and Relevance: ensure the title aligns with your content’s topic.
• Uniqueness: use Perplexity to search for other headlines with the same title.

It is important to still check any content that Perplexity writes for you. It isn’t perfect and, although much improved, can still hallucinate irrelevant content.

The Future of Perplexity AI and AEO

Perplexity AI values quality content that can be formatted in a conversational tone. It may seem daunting to tackle ranking on the many answer engines that are being developed but it is worth it. If you focus your content on client intent then ranking won’t be nearly as hard as it seems.

The positive with perplexity is that it isn’t, yet, a “winner-takes-all” situation, unlike Google’s AI Overview. With quality content you’ll be able to rank!

Interested in learning to rank on other Generative AI’s?

The post How to Rank on Perplexity AI: Embracing the Power of Answer Engines appeared first on NoGood™: Growth Marketing Agency.

The cadence of these updates is unclear, but staying informed of fundamental changes is essential! The next update could again change the search feature and require an updated strategy. Constant updates with less transparency mean search engine optimization (SEO) professionals and brands must keep up with Google more than ever.

Optimizing your brand to rank on Gemini doesn’t need to be a difficult task. However, it does require a strategy that is calculated and actionable. By employing traditional SEO tools and new answer engine optimization (AEO) techniques, you’ll become the top result on Gemini in no time. Embrace changes in search and apply it to your strategy instead of leaving large language models (LLMs) as your brand’s blindspot.

Help Your Business Rank on Gemini

Actionable Steps to Rank on Gemini

The goal is to be in the top three of Gemini’s business ranking. Even though Gemini is the algorithm behind AI Overview, it’s possible to rank on Gemini without being number one. However, it’s still essential to become that one main business that is a go-to company in your industry.

Ranking on Gemini follows trends of traditional SEO and requires that your strategy go one step further. You might notice similarities between the recommendations for navigating Google AI Overview and Gemini. Because Gemini powers Google AI Overview, you can use many of the same optimization techniques to improve your ranking on searches.

Similar to Google, Gemini follows the H.E.E.A.T framework. This is an adaptation of the traditional E.E.A.T framework. Each part of this acronym should be influencing your brand’s content since it informs the information that the Gemini algorithm picks up about your brand.

The 6 recommendations below include aspects of H.E.E.A.T and apply the acronym into a strategy for ranking on Gemini.

1. Create Fresh, High-Quality Content

Content can’t just be recycled and stuffed with brand information and keywords. Instead it should be original and provide value to users. Whether the content is an article about new technology or a topic you haven’t written about before, it should be helpful with new substance. Generative AI is working to sort out content that fulfills a user’s intended question by making sure users are given content that is relevant to them.

In addition to the four types of intent Gemini prioritizes long-tail keywords and conversational keywords since users typically use natural language to interact with Gemini.

High-quality content is also context-aware. This means the content addresses follow-up questions and related topics within the original content. Users don’t need to look further than one article to find an answer for their follow up question.

Tip: Since Gemini does not have a knowledge cut-off date, it pulls information that is not only current but also follows trends in your industry.

2. Focus On Authoritative Sites

Gemini uses sites with a strong industry reputation. Ensure your brand’s reputation as a trusted source in your field. Improve authority through backlinks and quality content that is well-researched. Follow these four steps to start building your presence:

1. Identify Authorities in Your Industry

Gemini values authority websites more than user-generated content. To identify these authorities you can start by asking Gemini to recommend authority websites. This way you’re not assuming Gemini prioritizes websites based on your opinion instead you are going directly to the source.

By directly asking a question to Gemini you’ll get a better understanding of not only what companies the algorithm prioritizes but also why it chooses each company. The added description can help you identify other characteristics to look for when choosing authorities in your industry.

In the above case we only asked for two sites, you could ask for a more extensive list. However, the longer the list the more you will have to consider prioritizing which authority websites are most relevant to your brand. Here are a few examples of websites to look at depending on your respective brand. However, it is non-exhaustive so take this as recommendations of where to start your search for specific sources in your field:

• B2B: Harvard Business Review, Forbes and Gartner
• SaaS: TechCrunch, Capterra and G2
• Healthcare: WebMD, Health Affairs and Mayo Clinic
• Fintech: Finextra, The Financial Times and Coindesk
• Crypto: CoinTelegraph, CryptoSlate and Decrypt
• AI: MIT Technology Review, AI Trends
• B2C: Consumer Reports, Nielsen and The Verge

2. Establish Relationships with Site Owners and Editors

Contact owners or editors of your targeted websites. Pitch to them an article or piece that is helpful to your industry’s context, explain how your content can add value to their platform. Ensure to include a mention of your brand in the content piece.

For example, if your company has an AI product, write an article about a current problem faced in AI, such as “How to solve the hallucination problem.”

By contributing content that is relevant and answers a problem in your field, editors and owners of these authoritative websites will be more likely to publish your article.

3. Utilize Expertise for Interviews and Features

Showcase specific achievements by your brand, any innovations, or insight into your industry. Gemini emphasizes the importance of expertise when choosing a source. Write to individuals that contribute to any of the authoritative sites that you found in step one. Focus on experts that have done guest posts on other websites. Invite them to publish on your site or do an interview. Interviews can be written or voice, this is also a way to add multimedia content into your material.

Tip: Work directly with publishers and industry sites to write guest posts or partnerships with the site. Having this content published improves credibility as an expert.

3. Research your Audience

Create user-centered content that focuses on understanding user intent and query. Before writing any content that addresses your potential client’s user intent, you should map your audience personas.

1. Identify Key Audience Segments (Demographics, Behavioral Data, etc.)

Use tools like Google Analytics and social media analytics to analyze website traffic, visitor demographics and behavior on site. Analyze customers through customer relationship management (CRM) software like HubSpot or Salesforce.

2. Understand User Intent and Search Behavior

Create surveys or questionnaires for clients to ask, How did they find your brand? What made them choose you? What problem or service are you trying to solve with our services/ brand?

These surveys can be given at any stage of the relationship with your client depending on what type of information you want to collect. If you are trying to find information about general traffic to your site ask broader questions about your industry. Or if you want to find information why a client didn’t convert, ask what search they conducted after deciding not to interact with your brand. This sort of research is essential for a full and comprehensive strategy.

3. Analyze Competitor Personas

Look for things your competitors are targeting and see if there is anything your brand is missing. Use the same survey or questionnaire above to ask clients why they chose your brand over a competitor. Interact with customers and research pain points. Check customer reviews for your competitor sites. Read industry reports and third-party research on your brand compared to your competitor’s brand.

Create your content based on these newfound insights. By answering user questions and solving your targeted audience’s needs.

Tip: Identify pain points and frequently asked questions. One way of finding frequently asked questions is to directly ask Gemini a question based on your brand’s keywords.

4. Create Varied Multimedia Content

Incorporate videos, images, and infographics to make content easier to digest and visually appealing. Ensure media has alternative text for images and captions for videos to make the text easily accessible. The text should be descriptive and keyword-rich. This ensures Gemini understands the content of your video or image and gives important context to how it fits into your brand’s focus. Remember these three important parts of image optimization: reduce file size, use a descriptive file name, provide alternative text and maintain high quality.

Tip: Supplement written content with multiple elements to improve user experience. Track data and content to ensure your media is converting.

5. Optimize for Local Search

Optimize your content for local search by ensuring your Google business data is updated and your business is active on Yelp and Google reviews. Target specific geographic areas and tailor content to your location.

Tip: Ensure your name, address and phone number are properly updated on your relevant platforms. Depending on your industry there are different platforms where you should update your business information.

• Online Directories: Google My Business, Yelp, Bing Places, Apple Maps
• Social Media: Facebook, Instagram, LinkedIn (this is especially important for B2B), Twitter
• Website: Name, Address, Phone number (NAP), Contact information, location map
• Industry-specific Directories
• Review Sites: Trustpilot, G2, Capterra (choose sites that are industry specific)

Depending on how much information you fill out on Google business and on the appropriate review sites Gemini will be able to answer the below questions using the information you provide. Not only does this make your brand more visible on AI but it also improves Gemini’s ability to answer a variety of user questions, thus improving user trust in Gemini and your brand.

6. Continually Adapt and Evolve

LLMs like Gemini are constantly changing and creating a strategy to continually adapt ensures that your brand is correctly represented in any search. What worked for AEO on Gemini a few days ago might not work today. That’s why it’s important to use analytical tools like Google Analytics, Semrush and Ahrefs to track your website’s performance over time. Based on this data, you can adjust your strategy as needed. Gemini’s algorithm is always evolving, similar to the pace of search engines, so it’s essential to monitor changes and record the impact on your rankings. Don’t assume your strategy will always work.

How to Track Updates

Follow industry news and official updates from Google, Gemini and other AI-drive platforms to watch for algorithm changes. Following updates directly from Gemini’s page ensures the information you’re using is based on informed and qualified announcements. The more you know about Gemini’s evolving algorithm the more prepared you’ll be to adjust your AEO strategy.

Make Adjustments in Real Time

Don’t Wait! Make immediate changes when you notice an update in Gemini’s algorithm. Use your tracking tools to make real-time adjustments to your content. Whether tweaking keywords, updating meta descriptions or refreshing content. Stay competitive for AEO, just like you would with SEO.

This might require more in-depth tracking algorithms or manual tracking to follow your position on Gemini. Ensure this step is included in your ranking on Gemini strategy, since tracking your position should be at the forefront of informing your strategy.

Tip: Set up regular check-ins to monitor any changes in how Gemini handles user queries or ranks results.

Embracing Gemini for SEO Success

There is a new era of search for SEO professionals and brands. If you want to rank on Generative Engines and follow the buzz of AI make sure to choose the right marketing agency. Google continues to redefine content delivery and constantly pushes to stay ahead of other large language AI models. The pace of change is fast and Google is relying more often on their AI-powered systems. Because of this businesses can no longer rely on traditional SEO strategies.

Optimizing for Gemini is about remaining visible, relevant and competitive as AI changes. By focusing on user intent, creating fresh content, leveraging multimedia, and understanding audience needs, you can position your brand as a trusted leader in your field.

Don’t forget adapting to change is an essential part of your brand’s future success. Start optimizing now, and you’ll find your brand in the top three Gemini business rankings!

Are You Ready to Embrace The Possibility of Ranking #1 on Gemini?

The post How to Rank on Gemini: 6 Actionable Steps to Improve AI Brand Visibility appeared first on NoGood™: Growth Marketing Agency.