Most B2B SaaS marketing teams believe their Google rankings protect them. They’ve spent years building domain authority, earning backlinks, and producing content that climbs to page one. So when buyers start asking AI engines for tool recommendations, the assumption feels reasonable: we rank well on Google, so we’ll show up there too.
Ahrefs decided to test that assumption. What they found should change how every SaaS team thinks about visibility.
The Study
Ahrefs studied 15,000 prompts across major AI engines — ChatGPT, Perplexity, Google AI Overviews — and tracked which pages each platform cited in its answers.
Then they cross-referenced those citations against Google’s organic rankings.
Only 12% of pages AI cited ranked in Google’s top 10.
Read that again. Nine out of ten pages that AI engines recommended to buyers had no significant presence in traditional Google search.
But the number that tells the real story is this one: a year ago, 76% of pages AI recommended also ranked well on Google. Today that number sits at 38%. The two systems, which once pulled from largely the same pool of sources, are now pointing buyers in completely different directions. And the gap widens every month.
Why Google and AI Use Different Sources
Google’s ranking system has decades of logic built into it. Backlinks, technical structure, keyword relevance, page experience — all signals that tell Google which pages deserve to rank for which queries. The system works well for indexed, keyword-driven search.
AI engines work differently.
When a buyer asks ChatGPT “what’s the best CRM for a 50-person sales team,” ChatGPT does not run a Google search and pull from the top results. It synthesizes an answer from what it has learned during training, combined with real-time retrieval from sources it trusts. Those sources are chosen based on a different set of signals: how often a brand is discussed across the web, the sentiment of those discussions, whether industry communities mention it, whether publications with editorial standards have written about it.
Perplexity weighs recency heavily and pulls from its own index. Google AI Overviews do sit closer to traditional Google rankings, but even there, structured content and direct answers matter more than keyword density. ChatGPT leans on Bing for some real-time retrieval, meaning your Bing presence — which most SaaS teams ignore entirely — carries weight.
Three major AI surfaces. Three different source signals. None of them identical to the system your team has been optimizing for.
What This Means for Your Pipeline
The shift in buyer behaviour makes this more than a visibility problem.
Buyers increasingly start their research by asking an AI engine, not by typing into Google. They use ChatGPT or Perplexity to generate a shortlist, then use Google to validate the names already on that list. If your brand never appears in the AI-generated shortlist, you are not losing clicks — you are being removed from consideration before the decision process begins.
A buyer who asks “what’s the best product analytics tool for SaaS” and gets a four-name answer from Perplexity is now in evaluation mode for those four tools. The brands that ranked #1 on Google for “product analytics software” but did not appear in that answer are invisible to that buyer. The deal happens without them knowing it was ever possible.
This is the new pipeline leak. It does not show up in your GA4 dashboard. It does not appear in your keyword rankings. It shows up as deals you never knew existed, going to competitors you did not know were outperforming you in AI search.
The Diagnosis
Your SEO is not broken. Your Google rankings still matter. But they are no longer a proxy for your overall search visibility.
You are now competing on two scoreboards simultaneously. One tracks how well you appear in traditional search results. The other tracks how often AI engines cite you, recommend you, and frame you to buyers who never click a search result at all.
Most SaaS marketing teams are measuring one and ignoring the other.
The brands winning in AI search right now are not necessarily the ones with the strongest domain authority. They are the ones being discussed authentically across the web — in industry communities, in publications, in forums where buyers already talk — and the ones whose content answers questions the way AI engines want to cite: clearly, specifically, with direct answers that can be extracted and surfaced in a generated response.
Where to Start
Check your AI visibility before you assume it matches your Google visibility. Ask ChatGPT, Perplexity, and Gemini for the best tool in your category. See who appears. See how you are framed when you do appear. Note the sentiment.
That five-minute test will tell you more about your AI search position than any keyword ranking report.
If your name comes up inconsistently, or with the wrong framing, or not at all — you are looking at the gap between your two scoreboards. Closing it is what GEO is for.
GeoCited helps B2B SaaS companies measure and improve their visibility across AI search platforms. If you want to know where you stand, start with an AI Visibility Audit.