Emily Greffenius, Author at NoGood™: Growth Marketing Agency https://nogood.io/author/emily-greffenius/ Award-winning growth marketing agency specialized in B2B, SaaS and eCommerce brands, run by top growth hackers in New York, LA and SF. Mon, 30 Dec 2024 20:19:55 +0000 en-US hourly 1 https://nogood.io/wp-content/uploads/2024/06/NG_WEBSITE_FAVICON_LOGO_512x512-64x64.png Emily Greffenius, Author at NoGood™: Growth Marketing Agency https://nogood.io/author/emily-greffenius/ 32 32 SEO Trends for 2025: Top 7 Predictions https://nogood.io/2024/12/30/seo-trends-2025/ https://nogood.io/2024/12/30/seo-trends-2025/#respond Mon, 30 Dec 2024 20:19:53 +0000 https://nogood.io/?p=43988 Search engine optimization (SEO) will remain a critical component of any successful marketing strategy in 2025, but it’s time for businesses and marketers alike to find ways to adapt to...

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Search engine optimization (SEO) will remain a critical component of any successful marketing strategy in 2025, but it’s time for businesses and marketers alike to find ways to adapt to an increasingly sophisticated search ecosystem. AI technologies, shifting consumer behaviors, and major changes to how search is inherently structured are all reshaping how we understand organic online visibility.


We’ll explore the top SEO trends that we predict will define 2025. From the growing importance of AI-powered search to the rise of voice and visual search, understanding these changes will help you stay ahead of the curve and optimize your strategies for maximum impact.

1. Humans & AI Will Work Together to Produce H-E-E-A-T Content

After Google rolled out its Helpful Content Update, SEOs and content writers alike learned the potential negative implications and effects of AI-generated content. But, more so, they learned the importance of high-quality content that truly helped users find answers to their questions.

The framework of helpfulness (H), experience (E), expertise (E), authority (A), and trust (T) – or H-E-E-A-T – is the foundation of crafting that high-quality content, and ensuring that a piece of content meets each of these standards will become even more important as we continue to adapt to new technologies and leverage AI as a tool, rather than a crutch, when it comes to content writing.

As we figure out the nuances of using AI tools to help support content creation workflows, it’s likely that AI-generated content will become more common. Since we’ve understood the real penalties, however, of simply churning out AI-generated content, publishing it, and hoping for the best, our workflows will adapt to include heavy human influence and editing to build content that’s helpful and meets established H-E-E-A-T standards.

Graphic illustrating the process of content creation with AI generation

Content is the backbone not just of traditional SEO tactics and strategies but of emerging AI-enhanced and AI-dependent strategies as well. AI models and LLMs are trained on existing content, and their responses and abilities become sharper and more accurate when the content they’re trained on is of higher quality. It will be critical that we deeply invest in how we produce content to keep up with the latest technologies without sacrificing quality.

What You Should Do: Investigate the AI tools at your disposal for use in your content creation workflow and determine which are the best options based on quality and functionality. Build a process that incorporates AI tools for efficiency and heavy human oversight for editing and quality assurance.

2. AI Tools Will Continue to Evolve to Support SEO Strategy

AI tools go beyond content generation. As more SEO platforms incorporate tools with AI capabilities, these features can not only identify potential issues – on both the technical and content side – but they can also suggest solutions. With this sort of real-time analysis and identification, SEO platforms and the experts who use them can begin to become more proactive with their strategies rather than constantly monitoring technical status or metrics and reactively suggesting fixes.

Graphic illustrating how AI can assist with SEO

These AI enhancements will be particularly useful to small businesses or small teams that have limited resources to devote to SEO improvements, or who may not have specialized SEO knowledge. With more detailed suggestions for title tags, meta descriptions, and other key aspects of technical and on-page SEO, teams can more easily and quickly ensure that their SEO foundation is strong and focus more energy on innovating or testing new strategies.

What You Should Do: Take stock of the current SEO platforms and tools you’re using and any of the AI-enhanced features and capabilities they offer. Ensure that you have AI tools in your toolkit that can truly support the efficiency of your strategy and implementation.

3. SEO for Bing Will Become a Larger Focus

Most organic search strategies have focused heavily on the Google ecosystem – what people are searching for in Google, where you’re ranking in Google’s search results, Google’s algorithm updates, etc. As answer engine optimization becomes more critical to overarching organic strategies, however, so does expanding your presence on other search engines.

Focusing on Bing in particular will be key. With the introduction of ChatGPT’s new ability to search the web, this LLM is pulling search results from Bing – not Google. To ensure that you’re optimizing for your brand’s visibility in ChatGPT, you’ll have to invest in your organic strategy on Bing. On top of that, Microsoft is continuing to invest in artificial intelligence and additional search tools, so SEOs must not silo themselves to Google.

What You Should Do: Audit your organic performance on Bing to understand what content is indexed on this search engine and your keyword rankings in these search results. Identify opportunities for optimization and improvement and build a plan for implementation. Use Bing Webmaster Tools for additional insights.

Table showing some of the differences in optimizing for Bing vs. Google

4. Search Will Continue to Become Multi-Modal

There are now so many different ways that users can find the answers or information they’re looking for. They can still use traditional search engines, of course, but more and more users are turning to search functions on social media, answer engines like ChatGPT or Perplexity, or voice search.

With all of these different search platforms, users can now search using combinations of text, visuals, and voice inputs. Answer engines specifically can process all of these inputs as part of a query simultaneously and offer more nuanced results. This expansion of how people are searching will require SEO experts to re-evaluate their current content and repurpose it across media types where necessary to help these new search platforms “read,” process, and understand each content format.

Graph showing the common uses of voice search

What You Should Do: Audit existing content to understand where it can be improved for these new search modalities and what pieces of content can be repurposed in other formats to better address different types of queries. Implement structured data where applicable to make it easier and more efficient for answer engines to understand your content.

5. Video Will Dominate as a Favored Type of Organic Content

“Content” now means so much more than the written word. It encompasses all different forms of media, and including a variety of media – especially video – in your organic content and SEO strategies will be a key component of success in 2025.

Attention and engagement are now the name of the game, and very little content is as attention-grabbing or engaging as video. It’s interactive, and it’s a medium of vast opportunity for brands to showcase their identities, their mission, and their value propositions.

Google recognizes this, too. The search engine prominently features YouTube videos, and now even TikTok videos sometimes, in its search results. It’s an entirely new environment where brands can focus on their visibility and how they’re being featured.

Here we can even see a YouTube video being pulled into AI Overviews:

Screenshot showing sources in AI Overviews

What You Should Do: Prioritize producing video content for your brand that you can share across multiple platforms. Consider accessibility through captions and auto-generated transcripts to reach a larger audience and enhance indexability. Host your videos on YouTube or use VideoObject structured data to boost the possibility of Google returning your video in search results.

6. Reputation Management Will Eclipse Traditional Backlink Building

Backlink building has long been a cornerstone of SEO strategy when it comes to improving your domain rating and your organic rankings. There’s always been a fine line, however, between building your backlinks in a healthy way and taking a spammy approach. It was easy to get penalized for using black-hat link building practices. On top of that, your backlinks aren’t bringing much additional value to your users – it’s a lot of work, for a small, incremental reward.

Over the course of 2025, reputation management and digital public relations (PR) practices will be the new approach. Reputation management goes beyond backlink building and focuses on creating a holistic online presence through helpful content that proves to be worth referencing within your industry.

These strategies will re-center users and help address core concerns: how people perceive your brand, how you build trust with your target audience, how you inspire loyalty in customers, and how all of these pieces can drive additional conversions.

Building a strong brand presence and following will also be a key part of effective reputation management, as this will help ensure a strong base of consumers who support your brand and can voice their support to other potential customers.

What You Should Do: Focus on where your brand is an expert and can offer a unique and helpful perspective. Center your content around those areas, emphasizing topics where you can really bring additional value to your current customers and potential new customers. Engage with your audience on social platforms to boost interest and loyalty and strengthen your brand presence.

7. How We Understand Organic Attribution Will Change

As Google’s AI Overviews and other AI-powered search modalities continue to expand, zero-click searches will only increase. More and more users are finding the answers they need directly on the search results pages.

When it comes to data and reporting, we’ll see a decline in many of our traditional SEO metrics that we’ve relied on for so long, like organic sessions. On top of that, “ranking in position #1” will take on a different meaning – this will now be more like “position zero,” as we account for the content and sources featured in AI Overviews.

SEO experts will have to shift how they understand organic performance and the best metrics to inform their understanding. Examining organic impressions and engagement-based metrics like time spent on page will likely provide a clearer picture of how well a website or a piece of content is performing in organic search.

On the flip side, sessions from direct traffic sources will likely see a surge as websites capture more middle- and bottom-funnel traffic rather than the top-of-funnel traffic that was coming from organic search in the past.

Zero-click searches will also impact the platforms experts should be looking at to understand their performance. AI visibility platforms like Goodie can help you understand how your brand is or isn’t showing up in the responses from answer engines like ChatGPT and Claude. These insights will help you ensure that you’re remaining visible even if you’re garnering fewer clicks.

What You Should Do: Evaluate the metrics you use to assess your organic performance, and be prepared for major increases or decreases in certain metrics or traffic coming from different sources. Take the time to understand how AI Overviews and answer engines are impacting your baseline performance by investing in an AI visibility tool and then assess where there are opportunities for improvement.

Make 2025 Your Year of SEO Success

SEO in 2025 promised to be more dynamic and exciting than ever before. By embracing the right technologies and staying agile in response to changes in user behaviors, businesses can position themselves for sustainable organic growth.

The trends we’ve discussed offer immense opportunities for those willing to adapt and innovate. Staying ahead of these trends means understanding what they mean for your brand and your customers and taking a hard look at how your strategies can be updated today.

The brands that succeed will be those that stay informed, experiment boldly, and prioritize the needs of their audiences. As you refine your approach, remember: the heart of great SEO lies in delivering value, relevance, and exceptional experiences to your users.

What do you think of these trends? Share your thoughts in the comments below!

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11 Best AI-Powered Public Relations (PR) Software for 2025 https://nogood.io/2024/12/20/public-relations-software/ https://nogood.io/2024/12/20/public-relations-software/#respond Fri, 20 Dec 2024 19:01:23 +0000 https://nogood.io/?p=43899 So much of how we form ideas about different brands happens online through news articles, our social media platforms, or even user-generated content on online forums. It’s nearly impossible to...

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So much of how we form ideas about different brands happens online through news articles, our social media platforms, or even user-generated content on online forums. It’s nearly impossible to keep track of everything happening in every corner of the web, and now with the advent of generative AI and AI chatbots, there’s an entirely new ecosystem that can be influencing how target audiences and potential customers learn about their options.

AI-powered public relations (PR) software and tools can provide your team with the resources they need to gather information from a wide variety of courses, parse the data, understand how consumers feel about your brand, and craft strategic next steps for sustainable growth. Let’s take a look at some of our favorite AI-powered PR tools that could give you a real competitive advantage when it comes to brand reputation management.

Our Top 11 AI-Powered Public Relations Tools

1. Goodie

Goodie Logo

Goodie is an answer engine optimization platform that focuses on ensuring your brand has visibility on the new frontier of search – answer engines. Providing data and insight for some of the most popular LLMs out there, including ChatGPT, Claude, Gemini, Perplexity, and Meta, Goodie can help your brand and PR team understand not only how visible your company and products are in AI search but also the best areas of opportunity for optimization.

Goodie’s dashboards help your team see how AI platforms and chatbots understand your brand, whether your brand is a top answer to users queries, and the sentiment around your brand as communicated by AI-generated responses. All of these features live in one, convenient, centralized location. With Goodie, you can start to fill the gaps in your understanding of how audiences – both human and AI – perceive your brand.

Goodie also has an AI content writing feature that can help with the generation of a variety of written materials based on your brand identity. The feature guides you through the process, asking you first to input a general topic for your piece. Then, it curates a selection of references that you can select to help inform the piece. It provides a few additional personalization options, such as adding citations or generating FAQs, and it also enables you to use your personal “Author Stamp,” so your own writing style can inform the final output. Finally, it asks you to select a title and then produces a comprehensive outline for your content.

2. Prowly

Prowly logo

Prowly is an automation software built for PR professionals to help companies of all sizes manage their public relations strategies by automating and saving time on routine tasks. They strive to provide their users with necessary PR tools all in one place. Their software includes a press release creator, an online newsroom and media database, dashboards and reports for media monitoring, and a CRM for managing press contacts.

While many of these tools can help PR professionals simplify and automate their tasks, Prowly also offers an AI-powered tool designed to level up the pitching process with new story angles and engaging press release drafts. This tool provides creative support and can even help PR professionals prepare for potential future interviews with journalists by generating likely questions.

3. Muck Rack

Muck Rack logo

Muck Rack is built specifically to be used by brands and agencies. Their platform combines a media database with monitoring and reporting capabilities to support all critical tasks for your PR team. Their AI tools are split into two categories: AI for Media Relations, and AI for Monitoring and Reporting.

Their AI tools for Media Relations include lists of relevant recommended journalists for outreach, topic research, and their proprietary tool called PressPal.ai that can help draft press releases and pitches.

When it comes to Monitoring and Reporting, Muck Rack’s AI technology can provide automated alerts if a certain topic is spiking in media coverage, compute data of your mentions in the media into an easy-to-understand numerical score, and report on specific topics based on trends and keywords.

4. Mynewsdesk

Mynewsdesk logo

With over 20 years of experience, Mynewsdesk is still striving to innovate the PR industry and stay at the helm of major change in the digital and PR world. Mynewsdesk understands how brand recognition can go beyond awareness and be a critical part of how you and your company add perspective to a certain topic or area of interest.

Their platform includes tools that can support with creating and distributing press releases, managing media contacts, monitoring your brand mentions, and reporting on other critical factors and KPIs. Their proprietary AI tool is called CoPilot, and it provides a range of functions that can help PR teams become more efficient in their everyday tasks. CoPilot can help generate fresh content ideas, connect you with relevant journalist contacts, and keep track of brand mentions.

5. Hypefactors

Hypefactors logo

Hypefactors sees themselves first and foremost as a technology firm, providing tools to help companies manage their reputations and corporate trust. They promote that advanced automation capabilities are a core piece of this process. They offer a comprehensive, all-inclusive platform built on a strong foundation of AI technology that can assist in global media monitoring, social media monitoring, documenting results from media campaigns, and other advanced analytics functionalities.

Hypefactors has built their tech to assist companies of all sizes – from small and medium-sized companies to international enterprises – with all of their PR tasks from creation and distribution to tracking and measurement. This platform can monitor web publications, print media, online forums like Reddit, and social media platforms like X (formerly known as Twitter) and Instagram, and the dashboards are personalized to your needs so you can see the coverage reports most important to your business.

6. Brand24

Brand24 logo

Brand24 is an award-winning social listening app that can help you and your team track and engage with people who are talking about your company. Their tools can help you analyze online conversations that mention your brand/company directly, your products, your services, or even your competitors. They have products for agencies and companies, for marketers, and for PR professionals.

Their AI solutions can help provide streamlined insights about your brand awareness and reputation, and it’ll also provide personalized suggestions for further supporting brand growth. Brand24 has also developed an AI brand assistant chatbot that you can ask questions about your own brand or your competitors to get a better understanding of where you stand in the market.

7. Pitchbox

Pitch box logo

Pitchbox is a PR, content marketing, and influencer outreach platform. Their tools are primarily designed to support the development and execution of a link building strategy, an initiative that bridges the gap between PR and SEO initiatives for many brands. The platform functions to help with blogger outreach, guest posting, reviews, backlink strategies, and more.

They have four main AI tools that can help speed up the process of executing a link building strategy: AI Template Assistant, AI Personalization, AI Reply, and AI Keyword Assistant. AI Template Assistant helps craft engaging email templates, while AI Personalization then personalizes those emails for more effective outreach. AI Reply streamlines your inbox experience with effective responses to incoming messages, and AI Keyword Assistant helps identify the most relevant websites to reach out to.

8. Signal AI

Signal AI logo

Signal AI boasts expertise in PR and corporate communications, reputation risk management, enterprise risk management, ESG, and other government regulations. All of their tech is AI-driven, and they’ve built their solutions to specifically help C-Suite executives identify trends, patterns, and critical signals to make important decisions, stay on top of their reputation, and get ahead of any potential risk.

Signal AI’s proprietary AIQ engine analyzes millions of news and regulatory documents to create personalized, accurate, real-time insights that provide a comprehensive view of your business and the relevant industry environment. They’ve also produced tools for AI-powered search, advanced analysis on important topics and competitors, and a chatbot for a more conversational interface.

9. Evertise AI PR

Evertise AI PR logo

Evertise AI PR is primarily a press release creation and distribution solution. Their platform enables world-class brands to distribute their time-sensitive press releases to top-tier news and media outlets to ensure critical media coverage.

Evertise’s Ai-powered press release generator can help any PR professional get started with those important pieces of coverage. The tool can assist in generating company news, updates, announcements, and more.

10. Talkwalker

Talkwalker logo

Talkwalker is powered by Hootsuite and have branded themselves a consumer intelligence and social listening platform. They pull in data from a multitude of sources to create as complete a picture as possible for their users, and they incorporate functionalities that allow you to review brand mentions in visual content (both images and videos) as well.

Several of their solutions are AI-powered or include an AI technology component, but they also offer their Blue Silk AI™ product. This product can help brands predict their future KPIs, identify and analyze brand logos in multimedia content, extract any relevant mentions from audio posts, and decode consumer sentiment.

11. Wizikey

Wizikey logo

Wizikey pulls data from a range of sources to provide brands and companies with information about their competition and any major changes in the industry. The platform can monitor trends, provides tools for media engagement, and houses dashboards that illustrate your brand’s share of voice in critical channels, industry insights, and traffic analytics.

Wizikey’s two main AI tools include their AI-powered Smart Alerts and their AI Labs. Smart Alerts helps teams avoid sifting through endless news articles and ensures they only see the ones that matter the most. With AI Labs, on the other hand, PR teams can generate coverage reports and review a real-time sentiment analysis of the brand.

AI-Powered PR Software Can Take Your Brand to New Heights

Brand reputation management can be make or break when it comes to building a community of consumers who are loyal to your brand and can help drive growth and success. But to understand what people think of your brand, you need to understand how and where they’re getting that information.

These tools can shed light on areas that might have been completely in the dark before and bring together pieces of data in new ways. Plus, they have all the capabilities of making your day-to-day tasks easier, so your energy can go toward what really matters – brand and revenue growth.

AI is taking nearly every aspect of digital marketing by storm, including PR and brand management. Don’t let AI chatbots steamroll your brand. Use these tools to your advantage instead.

FAQs

What are the benefits of using AI-powered public relations software?

AI-powered public relations software can offer multiple benefits, especially for companies that may not have dedicated PR teams or may not have the resources to work with a PR agency.

First, AI-powered PR software can help streamline workflows. Many of these tools integrate a wide variety of functions into one platform, which can help users and teams avoid switching between multiple tools. This can help save time, and it can also make the brand and PR management process a lot smoother and less complex.

Having all of these different functionalities in one tool could also help facilitate more collaboration among teams. With just the one tool, team members are better able to access shared resources, update statuses of projects, and track and monitor progress or results. These centralized, tech-enabled platforms help ensure that everyone stays on the same page with the most up-to-date information.

These AI-powered tools can also provide teams with detailed and comprehensive analytics. AI technology is adept at piecing together data from multiple sources so your team doesn’t have to – they can just look at the final picture. These unified and cohesive reports can help PR professionals make informed decisions about strategy.

Lastly, many of these AI-powered platforms and tools provide functions that can assist with or take over tasks that many PR professionals are still doing manually. This can help increase speed and efficiency while enabling PR experts to focus more of their energy on the strategic components of campaigns and media coverage.

What are the key features to look for in PR software?

If you’re considering investing in PR software for your team or company, think about the following aspects before making your final decision:

  • Core Functionalities: What can the software do? Make sure the software you choose can support all of the necessary tasks that your team performs on a regular basis. Consider functions such as managing and publishing content, media monitoring, and analytics and reporting.
  • Media Relations: Building and maintaining relationships with media professionals is an important part of any PR strategy. Consider PR software that can support and even simplify media relation tasks through contact management tools and press release distribution channels.
  • Integration: How easily can the new PR software integrate with other tools or platforms that your team uses regularly?
  • Usability: Does the software have an easy-to-use interface that any member of your team would be able to manage and navigate?
  • Customization: Can you upload or otherwise integrate your existing brand designs and guidelines?
Can AI-powered PR software integrate with other tools?

Many brands and companies are not only running PR software; most have a relatively full suite of different tools or platforms they use to develop strategies and ensure performance stays on track, so it’s important to understand how your new PR software may be able to integrate with those other tools.

When it comes to tool integration, it’s important to understand if the platforms you’re working with integrate directly and comprehensively with other tech solutions, or integrate more indirectly and offer more complementary features. In many cases, PR software may do both.

With CRM systems, for example, some PR software platforms integrate directly and seamlessly with CRM systems, while others integrate indirectly with their own CRM features and tools. Prowly and Muck Rack, for example, function as comprehensive PR CRM systems in their own right, while Mynewsdesk and Talkwalker integrate directly with Salesforce and Signal AI has a proprietary API Suite that allows integration with your preferred business intelligence solution. This can help PR professionals access and update any necessary contact information, track important interactions, and effectively manage media relations.

PR software also often integrates directly or indirectly with social media platforms and other news outlets, given that many of them perform social listening functionalities and monitor these platforms for brand mentions and audience sentiment. A more direct integration would involve being able to make changes or posts to a social media feed through your PR software tool, while an indirect integration would involve more data collection. Even an indirect integration enables teams to review brand mentions, track conversations, and analyze social performance.

A tool like Goodie, for example, can gather and synthesize data from LLMs to look at specific sentiments and visibility measures that matter for your brand. So, while it doesn’t directly integrate with these AI chatbots, it still provides valuable insights into activity on those platforms.

PR software also usually directly integrates with content management systems (CMS) or provides their own tools for content management. This is important for teams that are creating and distributing press releases, news stories, and other content that’s relevant to brand management and growth.

Lastly, as many PR strategies and campaigns rely heavily on the feedback and results from data and analytics, most PR platforms have the capability to integrate with analytics and reporting tools. This allows for data to be pulled in and synthesized from multiple sources for comprehensive insights. Users can then generate detailed reports on campaign performance and media coverage.

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8 Best Generative AI Search Tools for 2025 https://nogood.io/2024/12/19/generative-ai-search-tools/ https://nogood.io/2024/12/19/generative-ai-search-tools/#respond Thu, 19 Dec 2024 22:48:05 +0000 https://nogood.io/?p=43888 “Search” no longer just means opening your browser and typing a pared down, chopped up phrase into the search bar. It has moved far beyond that to encompass more sophisticated...

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“Search” no longer just means opening your browser and typing a pared down, chopped up phrase into the search bar. It has moved far beyond that to encompass more sophisticated search systems and searching on a wide range of different platforms.

Many search engines now are capable of understanding context, intent, and sometimes even creativity. And it’s not just search engines – one of the biggest shifts in search has involved the development of generative AI search tools.

Unlike traditional search engines that rely on indexing and ranking pages based on relevance, generative AI tools go a step further by generating custom answers, summaries, or even entire pieces of content based on user queries.

In this blog post, we’ll explore some of our favorite generative AI-powered search tools, examining how they work, the technologies behind them, and how they’re transforming the way we discover information.

Our Top Generative AI Search Tools for 2025

1. Perplexity AI

Perplexity Logo

Perplexity AI was built to be an AI search engine from the jump. Its interface blends many of the features of AI chatbots with the classic and familiar functionalities of the search engines we all know.

What the Interface is Like

It includes a textbox that’s similar to what you see with the vast majority of AI chatbots, and when you click in to use the chatbot, you’re introduced to some suggested queries – much like a search engine might prompt you with certain trending searches or queries related to current events.

Once you enter your search query, the response from Perplexity provides a textual, generated reply like many chatbots, but it also includes relevant links to the source material that helped inform the response. This way, users can find an appropriate website if necessary for additional information. Perplexity also provides a “related” section with additional queries that the user can click to generate subsequent, relevant responses. This is reminiscent of Google’s “People Also Ask” feature, for example.

On the side bar of a generated response, Perplexity also provides the option to “Search Images,” “Search Videos,” or “Generate Image.” If you download the Perplexity browser extension, you have the capability of setting Perplexity as your default search engine.

Pro Search Feature

With its paid tier, Perplexity also offers Pro searches, which go beyond their standard quick search option. When conducting a Pro search with Perplexity, the tool will perform additional research to provide even more in-depth responses to your questions. The Pro search functionality is better at solving complex problems, can summarize sources, and can even interpret code. Pro search is best suited for academic and professional research.

Pricing

Perplexity has two pricing options:

  • Free, with or without an account
  • Professional – $20/month with additional features, including your selection of LLM options, Pro searches, and the ability to upload and analyze files

2. ChatGPT by OpenAI

ChatGPT logo

ChatGPT could easily be considered the AI tool that kicked off this “AI race.” It was designed primarily as an AI chatbot, but it has become an increasingly popular tool for search as many people’s behaviors around search and information gathering are shifting.

What the Interface is Like

Relatively recently, ChatGPT introduced a “Search” feature that integrates searching the web with ChatGPT’s existing chatbot interface. This feature enables the chatbot to add real-time information from the web when generating a response to your query.

The tool can be used manually – i.e. a user can click on the “Search” option to bring it into the conversation – or it may be activated automatically if an answer to a prompt could benefit from additional information found on the internet. The basis of this tool is ChatGPT’s natural language processing capabilities, which enable it to understand the meaning of an input, search the web, and return relevant information.

Pricing

ChatGPT has five pricing tiers:

  • Free, with or without an account (access to some additional features with an account, even on the free plan)
  • Plus – $20/month with additional access, advanced voice mode, ability to create custom GPTs, and opportunities to test new features
  • Pro – $200/month with unlimited access to multiple models
  • Team – $25/month/user with additional tools, an admin console, and the ability to share materials within your workspace. Data from users on this plan is excluded from training ChatGPT
  • Enterprise – contact sales for pricing; an expanded version of the Team offering

The web search feature is currently only available with a paid subscription.

3. SearchGPT by OpenAI

SearchGPT logo

SearchGPT is another tool from OpenAI that, as of the writing of this article, is still in the prototype phase. This product is designed to combine the strength of OpenAI’s AI models with the wide array of information available on the web. The idea is to add the conversational abilities of LLMs to search capabilities to help users find what they’re looking for faster and more easily.

The waitlist to try this prototype is currently closed.

4. You.com

You.com logo

You.com provides a search-enabled AI chatbot that’s more focused on business use.

What the Interface is Like

Similar to other AI chatbots and search engines, the interface is set up with a text box where you can enter any sort of query, and you’ll receive a generated conversational response with real-time web results. The web results are incorporated as footnotes at the bottom of the response that the user can click through if they’d like to verify a source or visit a website to read more.

In some cases, You.com may also add images if or where relevant. Similar to Perplexity – and traditional Google search – You.com also includes a type of “People Also Ask” section beneath its response. Additionally, the platform offers a “private mode,” mirroring Google’s “Incognito Mode” for the browser.

Additional Features

Before you even get started with a search, You.com provides you with four buttons: “Research,” Creative,” “Genius,” and “Build Your Own.” These buttons are meant to help provide additional context/set up for how you’re planning on using the chatbot and search engine. Research and Creative are exactly as they sound – they assist with detailed research and creative visual generations, respectively. Genius mode is meant for complex, multi-step problems, and Build Your Own lets you “create your own custom agent.”

You can also select a certain industry if it would better inform your search. At the time of writing this article, the industries available to me were “Marketing,” “Sales,” “Engineering,” “Product,” “Data Analysis,” and “Finance.” These suggestions may be helpful for users that struggle with a blank text box and a steady, blinking cursor.

You.com also has mobile apps, a chatbot integration with WhatsApp, and desktop browser extensions.

Pricing

You.com has four pricing tiers:

  • Free, with or without an account, offering its own proprietary LLM
  • Pro – $20/month with additional access to other LLM models, file uploads, and the ability to use custom agents
  • Team – $30/month/user, including unlimited queries with custom agents, and all data is excluded from training AI models
  • Enterprise – contact sales for pricing; an expanded version of the team offering

5. Brave Search

Brave Search logo

Brave Search has gained traction mainly because it emphasizes increased privacy and security around online searches and general browsing. For example, Brave Search blocks certain tracking and ads on websites, which not only enhances privacy but can also improve browsing speed.

You can use Brave Search in your existing browser, much like many of these other AI search platforms, but you can also download Brave’s exclusive browser with a native, AI-powered search engine, removing the need for Google or Bing.

What the Interface is Like

Beneath the text box (in the website version of Brave Search), they start by offering the user a couple of possibly relevant search queries. At the time of writing this article, my suggested queries were, “What’s the worst-selling game console of all time?” Gift ideas under $50,” “What’s the first movie filmed in America?” and “What was the longest baseball game in history?” These queries were based on no information from me – I hadn’t input anything or provided Brave with any sort of data – and they clearly focus on the sort of curiosity queries that many have tended toward with Google and zero-click searches.

Typing in the text box pulls up suggested searches and queries, exactly like searching in a traditional search engine like Google, and the response page is eerily reminiscent of a Google or Bing search results page. It starts with an AI-generated response at the top, like Google’s AI Overviews, then delivers classic, linked results to relevant web pages.

Additional Features

The company behind Brave Search states that the answers generated at the top of the results page are based on their own, proprietary, independent index, rather than on Google or Bing like some other generative AI search tools.

Pricing

Brave is free to use.

6. Andi Search

Andi Search logo

Andi Search works for a wide range of users, and it has an intuitive interface that includes a friendly greeting in the chatbot section of the screen and a guide to “Getting Started” on the right-hand side.

What the Interface is Like

When you enter a search, Andi functions much like a chatbot, providing an initial generated answer as a direct reply to your input. It also offers web results on the right side to augment its response, and you can sort through different types of results (where applicable), change how the search appears (e.g. grid vs. list), and further refine your search with related searches.

You also have an option to click a “Tell Me More” button beneath the response to your query, and Andi reads through the various web search results and provides a summarized write up to help consolidate some of the possible information.

Andi is somewhat less conversational than other chatbot-based search tools, and it doesn’t generate images. It doesn’t log searches, and it blocks tracking and ads.

Andi uses Claude as its foundational LLM.

Pricing

Andi is free to use.

7. Komo

Komo logo

Komo is similar to many of the other models we’ve already discussed.

What the Interface is Like

When visiting the website, the user is greeted with an input text box, the option to choose between different LLM models, a “Web” feature for web searches, and the option to pick between “Ask,” “Research,” “Search,” and “Explore” functions.

In Ask mode, users receive AI-generated responses to their questions. After inputting a query, the user receives a response that includes an AI-generated text answer, links to the web pages used as source material, and a “Learn More” section with suggested related searches. There’s also an “Explore” section on the right-hand side with additional web results. Komo offers a feature to create a “Mind Map” or a tree chart of your results, but a user must have an account to access this.

Search mode works like a classic search engine. Research mode is only available to premium subscribers and provides AI-generated topic analyses and citations. Explore mode provides links to videos in response to query inputs.

While Komo does not have ads, it does learn from your past searches to better customize future interactions and answers.

Pricing

Komo offers five different pricing options:

  • Free, with or without an account
  • Basic – $15/month, including additional search features, multiple LLM models, search personas, and research mode
  • Premium – $30/month with expanded access to the features included in basic and opportunities to test new features
  • Business – $200/month, includes everything in the other tiers plus exclusive enterprise features
  • Enterprise – contact sales for pricing; an expanded version of the Business offering with enhanced security and privacy features

8. Waldo

Waldo logo

Waldo is a generative AI search tool that bills itself primarily as a research assistant targeted toward businesses. Their tagline, “Become an expert in seconds” supports this research-oriented priority.

What the Interface is Like

Unlike many of the other tools mentioned here, Waldo includes prepackaged workflows including Brand Audit, Cultural Trends, the Four Cs, and more. Waldo can also integrate with other platforms and pull sentiment data from social media platforms.

With its emphasis on research, Waldo provides information around regional contexts, allows users to select or block certain sources, and provides citations for any sources it uses. The platform utilizes existing search indexes, like those from Google or Bing, and presents them in a customizable interface. These features can help users create business pitches or brand strategies.

Waldo is not an accessible platform that is simply free to use. They are specifically targeting businesses as their end users, so it’s a pricier and more highly specialized tool.

Pricing

Waldo has four pricing tiers, aimed at those using the tool for professional needs:

  • Freelancer – $149/month; limited to 1 user, includes an AI research assistant, sourcing and citations, automated workflows, and export capabilities
  • Teams – $179/month/user for 5 seats; ability to create custom workflows, schedule recurring workflows, and collaborate on research with your team
  • Teams Pro – $199/month/user; 10 seat minimum, includes the ability to search social media posts, integrate other sources, and upload and analyze files
  • Enterprise – contact sales for pricing; 50 seat minimum with additional tech features like a workspace administration and single sign-on as well as more comprehensive support through a dedicated account manager and hands-on trainings

Level Up Your Organic Strategy: Enhance Your Visibility in Generative AI Search Tools

Generative AI search tools represent a fundamental shift in how we access, interact with, and learn new information. Whether it’s streamlining research, enhancing content creation, or providing more dynamic, personalized search experiences, the potential applications are vast.

As these technologies continue to advance, we can expect them to become even more integrated into our daily lives. For businesses and content creators, it will be critical to understand how everyday users are embracing generative AI search tools and what that means for how organic marketing strategies need to shift to ensure continued visibility on this new frontier of search.

These answer engines necessitate that brands revolutionize their strategy to bolster and maintain their position in this completely new type of search. By investing in answer engine optimization and integrating innovative tracking tools, brands will be able to better understand and influence how they show up in these generative AI search tools.

Goodie is an AI search visibility and answer engine optimization platform that can support your brand’s goal of being a top competitor on answer engines. The platform comes with comprehensive dashboards that synthesize data and provide insights about your brand’s visibility on the biggest LLMs on the market, including ChatGPT, Claude, Gemini, Perplexity, and Meta. Goodie can help your team see how AI platforms and chatbots understand queries that are relevant to you and your brand so you can take the strategic steps necessary to optimize your visibility.

Let Goodie show you the future of search.

FAQs

What are the main benefits of generative AI search?

Generative AI search tools and AI-powered search engines can help further personalize the search experience. With their capabilities in utilizing user behavior and preferences, they’re able to deliver personalized search results and additional relevant suggestions. In most cases, these features can help make it more likely that users will find the correct and most helpful answer.

Most AI-powered search engines these days also rely heavily on natural language processing, which means they’re better equipped to understand semantic meaning or highly nuanced aspects of a user’s query, which means they can deliver results that feel more specific and relevant.

How up-to-date are generative AI search engines?

Generative search engines are relatively new types of technology, and different platforms or LLMs have different levels of knowledge. The platforms and tools that can search the web always have access to the most up-to-date information. Some other tools, however, are trained on existing data, and, therefore, there’s a cutoff in their level of knowledge. For example:

  • ChatGPT 3.5 has a knowledge cutoff date of January 2022
  • ChatGPT 4 has a knowledge cutoff date of April 2023
  • ChaptGPT 4o has a knowledge cutoff date of October 2023
  • Claude 3 Opus has a knowledge cutoff date of August 2023
  • Claude 3.5 Sonnet has a knowledge cutoff date of April 2024
  • Claude 3.5 Haiku has a knowledge of cutoff date of August 2023
  • Llama 3 70B has a knowledge cutoff date of December 2023
How does RAG help generative AI search tools produce the most accurate information?

RAG stands for retrieval-augmented generation, and it’s an AI framework that combines traditional ways of retrieving information – like search functionalities you’re familiar with – and large language models. When these two work together, the generated information is more accurate and more relevant to your original query.

RAG works in three main steps: retrieval, pre-processing, and generation. During the retrieval phase, the model uses search algorithms to sort through external data – like web pages. Then, in pre-processing, the information is modified for optimal communication. Once ready, the information is incorporated into the already trained LLM, which provides the LLM with more specific context and understanding of the topic. The response to your query is then generated.

What are the best ways to use AI search engines?
  • Asking natural language questions, i.e. typing out your thought process exactly as it occurs to you, so you don’t have to edit your query before searching.
  • Using specialized modes offered by different tools. Some models offer a research mode, for example, which is a great tool to use for specific projects and queries.
  • Using AI-generated summaries for responses or search results with a wide range of complex information.
  • Solving complex problems or equations. Many of these tools can reason through complicated issues and provide solutions, and they can also generate and/or debug code.
  • Performing competitive research. By inputting queries that are relevant to your brand, product, or service, you can better understand the context you’re operating in. Does your brand come up for these searches, or do your competitors?
What are the challenges of AI search engines?

AI-powered search engines are still a relatively new technology, and many of them are still being developed. Many of these programs have not had all issues solved for, and there’s often still a lot of room for improvement in certain areas.

For example, AI search engines need data inputs in order to train their algorithms. This data isn’t always available, or the models may be trained inconsistently. Additionally, since these AI tools are learning from the data inputs, they may pick up on certain biases or inaccuracies if they were present in the original data. This could harm the quality of accuracy of the results they generate and deliver to users.

On a similar note, some people also have concerns about data privacy. Some of these platforms retain user data and may or may not use it to train their AI models. 

Lastly, some generative search AI platforms can still be subject to producing inaccurate information.

What’s the difference between generative AI and a large-language model (LLM)?

AI-powered search engines are still a relatively new technology, and many of them are still being developed. Many of these programs have not had aGenerative AI and LLMs are related, but they’re still separate concepts within the overarching umbrella of artificial intelligence. In many of the tool;s we discussed above, LLMs were a key component of these generative AI search platforms, but each platform had features and capabilities beyond the LLM component.

LLMs are a specific subset of generative AI that are focused primarily on natural language processing and text generation. Generative AI can speak to additional content generation tasks, going beyond text to include images, audio, and video.

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