SaaS GEO: Just the “New SEO”? Why You Shouldn’t Underestimate GEO
Daniel Mehlen9/16/2026
How to get shortlisted by ChatGPT, Perplexity and others using Generative Engine Optimisation for SaaS companies
Table of contents
- What is GEO, and why is it particularly important for SaaS companies?
- How do software buyers conduct research using AI Search?
- How visible is your SaaS company in AI responses?
- Which type of content structure do AI systems quote?
- Why are E-E-A-T and author profiles important for SaaS GEO?
- How do structured data and FAQs help with AI visibility?
- How does the basic GEO checklist for SaaS teams look like?
- How can you measure the success of GEO?
- My conclusion and an outlook on GEO for SaaS
The most important question in search engine marketing is, “How do potential customers find me?” For years, many SaaS companies have conveniently delegated the answer to a single player - Google. Whether through organic or paid search, if you were visible on Google, they would find you. But that’s changing right now.
AI search engines are changing IT buyers’ search behavior completely. No one is going through 10 tabs to look for a new software tool, comparing features, and entering the results into an Excel spreadsheet anymore. Instead, Google AI Overview, ChatGPT, or Copilot deliver ready-made results. Furthermore, a G2 study shows that 69% of decision-makers choose a different provider than originally planned based on an AI recommendation.
"If you ignore AI search as a SaaS company, you’re throwing away the most predictable leads of the next few years."
AI visibility isn’t a given, nor is it just hype that will fade away over the next year. That’s why, in this article, I’ll show you what SaaS GEO actually means, why it’s more than just “the new SEO,” and which GEO strategies I recommend to SaaS teams.
What is GEO, and why is it particularly important for SaaS companies?
The goal of Generative Engine Optimization (GEO) is to ensure that your SaaS product or company is mentioned, cited, or recommended in the answers generated by AI Search. Some also use the term AEO (Answer Engine Optimization) in this context, which is often used interchangeably.
"Unlike “traditional SEO,” the goal here isn’t for your website to appear in a list of links - instead, you become part of the generated answer itself."
The key point is, because of the complex IT purchasing processes, GEO is even more important for SaaS than for most other industries. No one buys a new ERP system on a whim. The research phases are long, various departments are involved, and numerous parameters must be compared. And it is precisely these complex, comparative questions that AI search engines thrive on.
That means, the first point of contact is shifting towards AI Search, and your potential buyers are already making a preliminary selection before they even see your website. Therefore, it’s important for your SaaS GEO strategy to realize that you’re no longer optimizing for the search query (as in "traditional SEO") but for the answer.
Caption: In AI Search, Google’s traditional SERP is replaced by a context-based answer
Source: Google Chrome Search / Claude
How do software buyers conduct research using AI Search?
The fundamental shift triggered by AI technology is taking place in the research behavior of your potential buyers. A Google search for “best QM software for industry” is more likely to turn into something like:
“Which QM software is best suited for an industrial company that is certified to the current ISO 9001:2015 standard and has been maintaining its QM manual in analog (paper) form until now? The goal is to digitize quality management.”
What matters most is no longer just the keyword “best QM software,” but the entire context. AI analyzes all requirements, weighs the various criteria, and generates a personalized recommendation, including specific providers. Two points are particularly important here:
- A single keyword applies to many contexts (e.g., companies from various industries looking for QM software). Every prompt in AI Search is unique. As a result, every generated recommendation looks different.
- If your SaaS company doesn’t appear in this recommendation because you aren’t communicating the context of your product or service in an AI-friendly way, you’ll fall behind your competitors.
"What I’ve observed: Organic click-through rates according to Google Search Console are declining and aren’t being replaced 1:1 by AI traffic. But the inquiries coming in via AI convert significantly better."
And this isn’t just a hunch. We can clearly measure this across all verifiable AI leads, and initial studies by ahrefs and Semrush confirm that queries from AI search convert at least four to five times better. At this point, the research is already done, and users are ready to purchase.
How visible is your SaaS company in AI responses?
Before you start publishing a flood of context-related content on your website, it’s worth taking a quick snapshot of the current situation. With an AI visibility audit, you can measure how AI tools perceive your company and develop a strategy based on those findings.
For a first impression you can simply sit down for 30 minutes and run the following sample prompts through the most popular tools (ChatGPT, Perplexity, Claude, Gemini, Copilot):
- “Which [software category, e.g., QM software/ERP/CRM] do you recommend for [target industry/company size]?”
→ Checks category visibility without mentioning specific brands
- “I run a company with [X] employees in the [industry] sector. We have [specific problem, e.g., ‘no end-to-end QM system and we still rely heavily on Excel’]. What would you recommend?”
→ Checks the purchase situation/persona and is one of the most important prompt types because it’s closest to the actual moment of purchase
- “Compare the best providers for [software category] in [country/region].”
→ Checks competitive comparison
- “What is [your product name], and who is the software suitable for?”
→ Checks whether the AI even knows your product and describes it correctly
- “What alternatives are there to [well-known competitor]?”
→ Checks visibility in the context of substitutes. This is where comparison sites like G2 or Capterra tip the scales.
The three most important takeaways from this mini-audit should be: Is your SaaS company even mentioned at all? Is your software or service described accurately? Are you only casually mentioned or cited as a source, or are you part of the answer? How do you stack up against your competitors?
The results can be quite sobering, but they show you where action is needed immediately. At the same time, this is just a snapshot. For a comprehensive, professional GEO analysis, I recommend a technical audit of your website, a content and structure analysis, and a much more detailed set of prompts.
Here’s a brief real-world example: As a SaaS GEO agency, we conducted a GEO analysis using 13 prompts across five different clusters for a SaaS client in the ERP/merchandise management software sector. We found that the company was correctly identified 100% of the time for direct brand queries.
However, the so-called “share of voice” in real purchasing situations - that is, when AI tools make a specific provider recommendation - was only 15%.
It was not about the product itself, as it achieved top scores in terms of target audience fit. The lack of direct recommendation was caused by rather weak external signals (e.g., reviews or profiles on comparison sites) and a lack of clarity: In some cases, the AI models were unsure whether the company even existed as a standalone brand.
Caption: AI search engines always provide context-based recommendations in response to questions
Source: Claude
Which type of content structure do AI systems quote?
As mentioned, whether you’re mentioned at all in AI responses isn’t a given, but you can influence the outcome. Your most important lever - aside from a technically sound website - is your content. So let’s talk about keywords vs. context again.
AI systems preferably extract content snippets that answer questions completely and independently. You’re probably already familiar with this concept from SaaS SEO, for example, when it comes to Google Snippets. In the GEO context, the principle works similarly. Here are a few examples:
Not quotable:
“We offer the best QM software for businesses. Market leader since 1999.”
Why isn’t this quotable?
“Best” is a purely subjective statement, “for businesses” says nothing about industries, company size, or similar factors, and “market leader” is an unsubstantiated claim.
Here’s how to turn it into a quotable statement:
“We offer QM software for medium-sized industrial companies that want to transition their QM manual from manual maintenance to a digital QMS. With our solution, you can meet the requirements of the new ISO 9001:2026 and obtain a certification.”
When it comes to Generative Engine Optimization of your content structure in a SaaS B2B context, you have to keep in mind: AI can only quote clearly and accurately what has been communicated clearly and accurately. What matters are clear answers and evidence, concise and fact-filled sentences, specific numbers, and consistent feature names.
Why are E-E-A-T and author profiles important for SaaS GEO?
Ever since the Google update in December 2022 every SEO professional has been familiar with E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). AI systems pick up on the same signals. At the heart of this lies a question of trust and competence:
- Experience: Has the author experienced the content firsthand?
- Expertise: Is the author an expert on the topic?
- Authoritativeness: Is the author recognized as an expert in the field by others?
- Trustworthiness: Can the source be trusted?
In practical terms, for GEO optimization for SaaS, this means: Your content should be written firsthand by an expert who can be verified through external signals (e.g., a LinkedIn link) and who is demonstrably a real person. A good example of this is the author box below this article.
This text was not written by an anonymous “editorial team,” but by me, Daniel Mehlen, CEO of the SaaS GEO agency Leadeffect. This allows you and AI to assess my expertise. A missing author profile is one of the most common weaknesses I identify during GEO audits - but it’s also one of the easiest to fix.
How do structured data and FAQs help with AI visibility?
Another important factor for SaaS GEO is structured data. A brief technical overview: AI reads plain text and HTML code on your website. It essentially has to guess which parts relate to features, pricing, or case studies. Structured data eliminates the need for AI to guess, as machine-readable markup in the HTML (schema markup) tells the AI what the content means.
Here are a few examples of important schema types for SaaS GEO:
- Organization (company information, logo, etc.)
- SoftwareApplication or WebApplication (product name, operating system, features, etc.)
- Product name, operating system, features, etc.)
- Person (see author profile)
- BlogPosting (for your blog posts)
- HowTo (step-by-step guides, e.g., in your documentation)
- BreadCrumbList (page hierarchy)
- FAQPage
Caption: Structured data is important for making it easier for AI to extract key information about your company
Source: https://validator.schema.org/
The FAQPage schema, in particular, allows you to increase your AI visibility relatively quickly and easily because FAQs provide AI systems with bite-sized pieces of information that can be directly cited. Think about which questions are truly relevant to your target audience, for example:
- What features and interfaces are available?
- Is the software available as a cloud or on-premise solution?
- Is the software suitable for the [...] industry?
- How does licensing work?
- Are there AI features?
It’s important to answer these questions truthfully, concisely, and completely. Before going live, you can test the structured data using the schema validator.
And here’s another recommendation: You can also ask your sales team which questions are relevant. They are in close contact with your customers every day and most likely have really valuable insights you might miss from a marketing-driven POV.
How does the basic GEO checklist for SaaS teams look like?
To put it in a nutshell, my SaaS GEO checklist looks like this:
- Organization (company information, logo, etc.)
- SoftwareApplication or WebApplication (product name, operating system, features, etc.)
- Product name, operating system, features, etc.)
- Person (see author profile)
- BlogPosting (for your blog posts)
- HowTo (step-by-step guides, e.g., in your documentation)
- BreadCrumbList (page hierarchy)
- FAQPage
And one more recommendation: It’s important to consider SEO, GEO, content, and your product together. This is the only way to create the context that AI needs to properly categorize your SaaS product.
How can you measure the success of GEO?
From my POV, the most challenging aspect of SaaS GEO right now is making the results measurable. I focus primarily on three metrics:
- How often are you quoted in AI responses? A fixed set of comparison prompts that you run through regularly works well for this.
- How much referral traffic do you get from AI? GA4 and Search Console now track AI traffic. For me, a custom report in GA4 has proven most effective for tracking. But be aware: clicks from AI overviews are counted as organic clicks.
- How often is your brand being mentioned? Brand mentions - that is, references to your brand online - are an important ranking factor for AI search, but they’re difficult to measure. New GEO tools like Peec AIcan help here.
Caption: New GEO tools like Peec.AI make it possible to evaluate AI visibility and make it measurable
Source: Peec.AI
Tools to make SaaS GEO measurable
Tracking AI visibility is still a fairly new topic, but there’s a lot going on right now, and new tools and features are flooding the marketing world. I took a closer look at these three tools when I had to pick the best option for my clients:
- Otterly.AI: for monitoring whether and how your brand appears in AI responses
- Rankscale.ai: for analyzing your AI visibility across AI systems
- Peec AI: for tracking brand mentions and comparing competitors
You can find more details about the tools and a detailed comparison in the GEO Tools section at OMR Reviews.
My conclusion and an outlook on GEO for SaaS
Let’s go back to the question at the beginning: Is GEO for SaaS simply the “new SEO”? In my opinion, it’s “yes and no.” I see GEO as the logical evolution of traditional SEO. The fundamentals (clear structure, E-E-A-T, technically sound setup) remain the same. But you’re no longer optimizing for a list of links but for context-based AI systems.
"GEO for SaaS doesn’t reward list rankings, but rather precise statements and complex context."
The new focus on context plays right into the hands of SaaS companies. AI loves complex topics that require explanation - topics where achieving number-one Google rankings for niche keywords has often failed. If you manage to structure your content effectively and deliver clear messages, you’ll have the best chance of building a predictable lead channel for years to come.
Author
Daniel Mehlen
Daniel Mehlen ist CEO und Founder von Leadeffect, einer Online-Marketing-Agentur für IT- und Softwareunternehmen. Aus der Zusammenarbeit mit mehr als 70 B2B-IT-Kunden weiß er, wie wichtig es ist, komplexe Software- und SaaS-Lösungen sowie IT-Kaufentscheidungsprozesse zu verstehen und verständlich zu kommunizieren. Neben verschiedenen Paid-Kanälen ist einer der Schwerpunkte von Leadeffect die organische Sichtbarkeit von komplexen und erklärungsbedürftigen SaaS-Unternehmen zu stärken. Dabei legt Daniel einen besonderen Fokus auf Generative Engine Optimization (GEO) und KI-Sichtbarkeit.
