GEO Is the New SEO – A Founder’s Guide
GEO and AEO have quickly become categories that founders, marketers, agencies, SaaS companies, ecommerce brands and consultants need to understand. GEO usually means Generative Engine Optimization. AEO usually means Answer Engine Optimization. Some people still call it AI SEO, but the basic idea is simple: buyers are now asking ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and other AI powered search experiences what to buy, who to trust, what to compare and which companies deserve attention.
Traditional SEO still matters. Google search still matters. Content, technical SEO, authority, backlinks, review sites, comparison pages, documentation, brand mentions and category pages still matter. The change is that these pieces now feed a new discovery layer. A buyer may ask an AI tool for recommendations before visiting your website, before reading your sales page and before comparing vendors manually.
That makes the new question bigger than “Do we rank on Google?” The question becomes, “Do AI tools understand us, cite us and recommend us when buyers ask questions in our category?”
That is why products like ZeroRank, Visby, TrackMyVisibility, Searchable and iGEO are interesting. They help companies check how they appear inside AI answers. They also show which competitors appear instead, which sources are being cited and what content gaps may be holding a company back.
The category is moving fast, and many products are starting to look alike. A lot of them promise some version of prompt tracking, brand visibility checks across ChatGPT, Gemini, Claude, Perplexity and AI Overviews, competitor comparisons, citation tracking, source analysis and recommendations. Those pieces are useful, but they are becoming the baseline.
The better question now is whether the product helps a company improve its position in a way that can be acted on. A dashboard alone is not enough. A score alone is not enough. A new GEO tool needs better data coverage, better workflow, better recommendations, better reporting or a narrower focus that makes it more valuable for a specific audience.
Table of contents
- What Is GEO?
- The Problem With Basic AI Visibility Tracking
- What I Look For In GEO / AEO Tools
- Tools Worth Checking Out
- FireGEO And The Open Source Question
- My Current Take
What is GEO?
GEO is best understood as an extension of SEO into AI powered discovery. Rank trackers helped marketers see where they appeared in search results. GEO tools try to show where brands appear in AI generated answers, how those answers describe them and which sources influence the answer.
That makes the risks familiar. Data quality matters. Prompt choice matters. Model coverage matters. Search context matters. Ongoing cost matters. Platform dependency matters. If the tool chooses weak prompts, the results will not tell you much. If it checks a prompt once and gives you a score, the score may be misleading because AI answers change often.
For SaaS companies, the biggest opportunity is in buyer questions. People ask AI tools for alternatives, comparisons, category recommendations, implementation advice and buying guidance. Those questions can shape which products enter the buyer’s consideration set. A company that does not appear in those answers may lose attention before the buyer ever lands on its website.
The Problem With Basic AI Visibility Tracking
A basic GEO tool usually asks for a brand, competitors and prompts. Then it checks whether the brand appears in AI generated responses. For example, a SaaS company might monitor questions like:
- What are the best project management tools for small agencies?
- What is the best CRM for freelancers?
- What are the best alternatives to HubSpot?
- What tools should I use to automate client onboarding?
- What are the best software options for a small B2B SaaS team?
The tool may then show whether your brand appeared, which competitors appeared and which pages were cited. That gives you a starting point, but it does not always tell you what to do next.
If your product does not appear in ChatGPT, Gemini, Claude, Perplexity or AI Overviews, you need to know why. Your homepage may be unclear. You may be missing comparison pages. Competitors may have better category content. Review sites may dominate the sources. AI tools may cite outdated pages. Your use cases may be too vague. Technical SEO problems may make your site harder to parse. Your product may be described in the wrong category.
A useful GEO product should help diagnose those problems and turn them into clear tasks. The best output is not a vague recommendation to “improve content.” The best output tells you which page to create, which page to improve, which competitor you are losing to, which source is influencing the answer and which buyer question deserves attention next.
What I Look For In GEO / AEO Tools
Since the category is already crowded, I would be selective. The products that matter will go beyond monitoring and help users make changes. Here is the evaluation list I would use.
- Detailed tasks with clear next steps
- AI optimized content creation tied to gaps
- Recurring checks with transparent timing
- Citation and source analysis
- Access to exact AI responses
- Education built into the product
- Buyer intent prompt discovery
- Agency and power user features
- Side by side model comparisons
- Data quality, product depth and founder know how
1. Detailed Tasks With Clear Next Steps
The biggest difference between a useful GEO tool and a generic tracker is actionability. Vague advice wastes time. A founder or marketer needs specific tasks, such as creating a comparison page, improving homepage positioning, adding a use case page, fixing crawl problems, updating old content or pursuing mentions on websites that AI tools already cite.
I would look for recommendations that read like a work plan. For example, “Create a comparison page against this competitor because they appear in three high value prompts and you do not.” Or, “Improve this page because AI tools describe your product as a general marketing platform instead of a client portal for agencies.” That kind of instruction can guide actual work.
2. AI Optimized Content Creation Tied To Gaps
Content creation is where many GEO tools need to improve. A product that identifies gaps should ideally help create the missing content too. That does not mean publishing generic AI writing. It means using the findings to guide content that answers the questions buyers are already asking.
If a tool discovers that competitors win for a specific use case, it should help draft a page around that use case. If it finds that AI tools cite third party comparison articles, it should help you create a better comparison page and identify outside mentions worth pursuing. The link between finding the gap and creating the content is where the workflow becomes valuable.
3. Recurring Checks With Transparent Timing
AI answers change. The same prompt can produce different answers depending on model, date, region, wording, retrieval method and sources available at that moment. A one time score can lead to bad decisions.
A better GEO product should run recurring checks and show when each prompt was last tested. It should explain how often prompts are checked, which models were used and how visibility changes over time. Trend data is more useful than a single snapshot because it shows whether a brand is gaining or losing presence across important prompts.
4. Citation And Source Analysis
Citation analysis is one of the most important parts of GEO. If your company does not appear in an AI answer, you need to know who does appear and which sources supported that answer.
The useful questions are simple: Which competitors are being recommended? Which websites are cited? Which pages influence the answer? Are AI tools relying on review sites, directories, blogs, YouTube videos, documentation, communities or competitor pages? Which sources appear again and again across the category?
Sometimes the next move is to improve your own website. Other times the next move is to get included in the sources that AI tools already reference. A good GEO product should make that path obvious.
5. Access To Exact AI Responses
A dashboard score can hide the details that matter. I want to see the exact AI responses and how each model talks about the brand.
That includes whether the product is described correctly, whether it appears in the right category, whether it is compared against the right competitors, whether old information is being repeated and whether the recommendation fits the intended buyer. If Claude describes the product accurately but Gemini places it in the wrong category, that difference matters. If Perplexity cites an outdated article, that matters too.
6. Education Built Into The Product
Many buyers still do not fully understand GEO. Some call it AI SEO. Some understand the concept but do not know how to turn the data into action. This creates a product challenge.
The better products will teach users what they are tracking, why it matters and what each finding means. They should explain why prompts fluctuate, why citations matter, why buyer intent prompts are more valuable than random brand prompts and how to turn findings into SEO, content, PR, positioning and partnership work.
7. Buyer Intent Prompt Discovery
Prompt choice can make or break a GEO tool. Letting users track random prompts is not enough because many users will choose prompts that feel important but do not match how buyers make decisions.
Useful prompts often include category questions, alternative questions, comparison questions, use case questions and purchase guidance questions. For example, “What are the best tools for agencies that need client onboarding?” is usually more valuable than “What is my brand?” The product should help generate, group and prioritize prompts that match the buyer journey.
8. Agency And Power User Features
Agencies will likely become a major audience for GEO products because many businesses will need help interpreting the data and acting on it. Agency use cases need more than a single brand dashboard.
I would look for white label reports, multi domain support, client dashboards, exports, team permissions, scheduled reporting, API access, MCP support, BYOK options, regional tracking, language tracking, prompt groups and workflow management. These features matter when a consultant or agency needs to manage several clients and show progress over time.
9. Side By Side Model Comparisons
ChatGPT, Gemini, Claude, Perplexity and AI Overviews do not behave the same way. They may use different sources, interpret prompts differently, update at different speeds and recommend different brands.
A useful product should show differences across AI tools and models. You may appear in Perplexity but not in ChatGPT. You may be described accurately in Claude but poorly in Gemini. You may be cited in AI Overviews while missing from other answers. A single visibility number can hide those differences.
10. Data Quality, Product Depth And Founder Know How
This category will attract many products that look similar. Some will have good execution. Others will differ mostly in branding.
I would be careful with products that rely heavily on outside services for core functions such as scraping, have little traction, give generic recommendations or do not show enough founder understanding of SEO, AI search and the customer use case. GEO products need to adapt as AI platforms change how they retrieve, summarize and cite information.
Tools Worth Checking Out
The tools below are the ones I would look at in this category. Some are broader platforms, some are simpler trackers and some focus more on content execution. I would choose based on the workflow you need, not only the visibility score.
ZeroRank is worth checking out if you want to track and improve how your brand appears in AI answer engines. The value is in seeing whether buyers asking category, comparison or alternative questions are being shown your company or your competitors. I would consider it for SaaS founders, marketers, consultants and agencies that want a practical starting point for AI visibility work.
Visby fits the same emerging GEO category and is interesting because it focuses on how brands appear across AI powered discovery. I would look at it if you want to understand where your company is mentioned, which competitors appear in the same answers and what may influence those results. The category is still early, so the main question is how much guidance it gives after showing the data.
TrackMyVisibility appears to be a straightforward AI visibility tracker. It covers the expected pieces, including prompts, competitors, citations, query gaps and recommendations. I would evaluate it carefully against ZeroRank and Visby because basic tracking is now common. The product becomes more interesting if the recommendations are specific, the prompt selection is useful and the reporting is easy to use.
Searchable feels more mature than a basic tracker because it positions itself as an AI search optimization platform. The areas I would pay attention to are tracking, audits, content, reporting, multi region support and agency or enterprise workflows. This may make it a better fit for agencies, larger teams or companies that want an ongoing optimization process instead of a one time check.
iGEO is one I tested. The content writer and WordPress plugin are the most interesting parts because they help move from analysis to publishing. It also includes AI traffic analytics, agents, workflows and integrations. I would look at iGEO if you use WordPress or want GEO tracking connected to content creation and publishing.
FireGEO And The Open Source Question
FireGEO is an open source project from Firecrawl. It matters because it shows that parts of GEO tooling can be built with existing crawling, scraping and AI infrastructure. That creates pressure on commercial GEO products to offer more than a wrapper around prompt checks and AI summaries.
The presence of boilerplates, starter templates and open source projects means buyers should ask harder questions. What does the product do that cannot be copied quickly? Does it have better data, workflow, reporting, guidance, integrations or client features? Does it help users act on the findings? Does it keep improving as AI search changes?
Commercial GEO tools can still be very valuable. SEO has always had many tools that perform similar jobs, yet the better products win because people trust the data, the workflow fits their day and the recommendations help them move faster. GEO will likely follow the same pattern.
My Current Take
I think GEO is going to keep growing because buyer discovery is changing. People are asking AI tools for recommendations, and those answers can shape which companies get considered. The opportunity is especially important for SaaS, ecommerce, agencies, local businesses, consultants and review driven categories.
At the same time, we can be more selective now. A new GEO tool needs a clear reason to exist. Better model coverage, better prompt discovery, better source analysis, better UX, better content workflows, better agency reporting or a narrow focus can all create a reason to care. Another generic dashboard will be harder to defend.
For SaaS companies in particular, I would pay attention to prompts around alternatives, comparisons, use cases, implementation, category recommendations and buyer questions. Those are the searches where AI answers may influence buying decisions before the visitor reaches your site.
Quick Links
Use ZeroRank if you want to start tracking AI visibility and see how your company appears in answer engines.
Use Visby if you want another GEO option focused on how your brand appears across AI powered discovery.
Use TrackMyVisibility if you want a simpler tracker for prompts, competitors, citations, query gaps and recommendations.
Use Searchable if you want a broader AI search optimization platform with reporting, audits, content and multi region support.
Use iGEO if you want GEO tracking connected to content writing, WordPress publishing, analytics, agents and workflows.
Use FireGEO if you want to understand the open source side of this category and how basic GEO infrastructure can be assembled.
Final Thought
The old SEO question was whether buyers could find you on Google. The GEO question is whether AI tools understand you, cite you and recommend you when buyers ask for help. That makes GEO worth paying attention to, especially for companies that depend on category discovery and comparison research.
The winners in this category will help users understand what is happening, why it is happening and what to do next. That is the standard I would use when judging ZeroRank, Visby, TrackMyVisibility, Searchable, iGEO or any new GEO product entering the market.
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