Last month, a prospect told us they'd already shortlisted three CI tools before booking a demo with us. We asked how they found those tools. "I just asked ChatGPT," they said. "It gave me a list."
We weren't on that list.
That's the problem GEO is trying to solve — and if you run a B2B SaaS company in 2026, it should be keeping you up at night.
What GEO actually is
Generative Engine Optimization is the practice of making your brand visible to AI systems, not just to Google. Traditional SEO gets you ranked in search results. GEO gets you cited in AI answers.
The difference matters because the behavior is different. When someone searches Google for "competitive intelligence tool," they get a list of links and they click around. When someone asks ChatGPT or Perplexity the same question, they get a synthesized answer with a short list of recommendations. That list is often 3-5 tools. If you're not on it, the conversation ends before you're even in it.
A 2024 study by Search Engine Land found that AI-generated answers now appear on 47% of informational queries. For B2B SaaS categories — tools, platforms, software — that number is higher. Buyers are doing research differently now. They're not just Googling; they're asking.
How AI systems decide who to mention
This is where it gets interesting, and where most SEO advice falls apart.
PageRank is about links. AI citation is about mentions, authority, and structure. The models that power ChatGPT, Perplexity, and Claude were trained on a snapshot of the internet. What they "know" about your company is based on what was written about you — in blog posts, review sites, forums, press mentions, and your own content.
Specifically, AI systems tend to cite sources that are:
- Specific and citable — concrete facts, named statistics, clear positions. Vague brand fluff doesn't stick.
- Structured — schema.org markup, JSON-LD, clear article metadata. If a bot can parse it easily, it's more likely to surface it.
- Mentioned in context — if review sites, comparison pages, and third-party blogs mention you by name alongside your category, you get associated with that category.
- Authoritative by association — appearing alongside credible sources, being cited in other articles, having your content linked from high-trust sites.
Traditional backlink counts matter less here than they did for Google. A company with 50 backlinks from relevant blogs is often more "visible" to AI than a company with 5,000 spam links from link farms.
The shift from discovery to decision
Here's the behavior change that makes GEO urgent for B2B companies: AI is replacing the discovery phase of the buying journey.
Five years ago, a VP of Product researching CI tools would Google a category term, hit a few G2 lists, maybe read a couple of reviews, and build a shortlist over a few days. Today, that same VP asks Perplexity "what's the best competitive intelligence tool for a 50-person startup" and gets a curated answer in 30 seconds. Their shortlist is whatever the AI recommends.
If you're not in that answer, you're not in the consideration set. You don't get a chance to demo your way in. The selection happened before you knew the prospect existed.
For CI tools specifically — companies whose entire value proposition is about knowing what's happening before your competitors do — missing this shift would be almost ironic.
What Prometheus is doing about it
We're not just writing about GEO. We're running the playbook on ourselves.
llms.txt: We've added an llms.txt file at prometheusci.com/llms.txt — a lightweight specification that tells AI crawlers what we do, how we position ourselves, and what questions we answer. Think of it as a robots.txt for language models. It's a relatively new standard, but adoption is accelerating.
Structured data on every page: Each article and product page has Article or SoftwareApplication schema markup in JSON-LD. This makes our content machine-readable in the format that AI crawlers prefer.
Citable content: This article is an example of what we mean. Specific stats. Clear positions. Named competitors. Concrete examples. AI systems are more likely to surface content that takes a point of view and backs it up than content that hedges every sentence.
Category association: We write about the problems our customers have, not just about Prometheus. "Competitive intelligence for startups," "battlecard software," "win-loss analysis" — each piece of content strengthens our association with those terms in the models' training distribution.
Review site presence: G2, Capterra, Product Hunt. AI models know about these. A product that doesn't exist on review sites is invisible to AI.
What you should do right now
If you run a B2B SaaS company, start here:
Ask ChatGPT and Perplexity the question your best prospects ask when they're looking for a tool like yours. See if you show up. If you don't, you have a GEO problem.
Then: audit your structured data (use Google's Rich Results Test), create an llms.txt, and start writing content that takes positions instead of content that describes features. AI systems are better at remembering opinions than product pages.
The companies building GEO strategies now are going to have a meaningful advantage in 18 months when AI-assisted research is the default behavior. The companies ignoring it are going to wonder why their pipeline dried up despite good SEO rankings.
We're watching this shift closely — partly because it affects our own marketing, and partly because it's the kind of strategic signal our customers should be tracking about their competitors too. If your competitor shows up in AI answers for your category and you don't, that's a threat worth knowing about early.