Quick AnswerWe ran 10 real SaaS buyer searches — things like "best CRM software for small business" — checking Google's top 3 results, then asking ChatGPT and Perplexity the identical question. Only 2 out of 10 (20%) of companies ranking in Google's top 3 were also recommended by AI. In a crowded category like SaaS, ranking well on Google tells you very little about whether AI tools will recommend you too.

We wanted a real answer to a question we kept hearing from SaaS marketing teams: if we're already ranking well on Google, are we also showing up when buyers ask ChatGPT or Perplexity instead? So we ran the actual test — 10 genuine buyer-intent searches across common SaaS categories, checked what ranked, then asked the same question directly to two major AI tools.

The result: only 1 in 5 top-ranking SaaS companies showed up in both places. Full methodology and data in our press release on the industry gap.

What We Actually Tested

We searched 10 real questions a SaaS buyer would type — not abstract industry terms, but the actual phrasing someone comparing vendors would use: "best CRM software for small business," "best marketing automation tool for SaaS," "top SaaS growth agency USA," and similar. For each, we recorded the top 3 organic Google results, then asked ChatGPT and Perplexity the identical question in a fresh, non-personalized session, checking whether the same companies came up.

The Result Was More Fragmented Than We Expected

Out of 10 searches, only 2 showed a genuine overlap — the same company both ranking in Google's top 3 and getting named directly by AI. For "best CRM software for small business," HubSpot showed up in both. For "best content marketing agency for SaaS," Campfire Labs did too. In the other 8 searches, Google and AI recommended almost entirely different sets of companies.

This wasn't a case of AI ignoring strong, well-optimized pages. Several of the Google top-3 results were genuinely well-built, well-ranked pages. AI simply pulled its answer from a different, often broader pool of known brand names, rather than mirroring what was ranking that day.

Why SaaS Specifically Shows This Pattern

Our companion healthcare study, run the same way, found a very different result: 50% overlap, more than double the SaaS rate. The most likely explanation is market structure, not content quality. SaaS categories — CRM, project management, marketing automation — are crowded with dozens of legitimately strong, well-known competitors. That crowding gives Google and AI more room to land on different "best" answers, even when both are technically correct. Healthcare marketing and AEO services are a smaller, more specialized market, where fewer established names dominate both channels at once.

For a SaaS company, that crowding is exactly what makes this finding matter. You're not just competing for Google's top 3 anymore — you're separately competing for AI's much smaller, seemingly more brand-recognition-driven shortlist, and doing well in one doesn't reliably carry over to the other.

What This Means for Your SaaS Company

  • Don't assume Google rank protects you. A #1 position is real proof of SEO strength, but this data suggests it's a weak predictor of AI recommendation in a crowded category.
  • AI recommendations in SaaS appear to lean on broader brand recognition, not just on-page optimization. This suggests real, durable authority-building — genuine reviews, real market presence, consistent mentions across the web — matters more here than technical SEO alone.
  • Track both separately. Since the two channels behaved so differently in our data, monitoring only Google rankings means missing half of what's actually happening in how buyers find SaaS vendors today.

If you're still weighing whether this is worth acting on at all, see our companion piece on whether AEO actually matters for B2B SaaS — this study is the data behind that argument. Tracking your own overlap rate over time is also part of what we cover in AI visibility tracking.

Frequently Asked Questions

No — SEO still drives real traffic and rankings. What the data shows is that ranking well doesn't reliably transfer into AI recommendation in a crowded category like SaaS, which means it needs to be treated as a separate, additional effort rather than an assumed byproduct of good SEO.

Likely due to market size and competition density. SaaS categories tend to have many credible, similarly-strong competitors, giving Google and AI more room to diverge. Healthcare marketing/AEO services are a smaller, more specialized market with fewer dominant names.

We checked whether the same company that ranked in Google's top 3 was also named directly in ChatGPT's or Perplexity's response to the identical question — not whether an exact source link was cited, since AI tools didn't consistently display clickable citations across these queries.

Neither in isolation — but it does mean an 80% chance that ranking well on Google alone tells you nothing about your AI visibility in this category. That gap is the actual opportunity: most SaaS companies competing purely on traditional SEO likely haven't addressed it yet.

The data suggests brand recognition and consistent presence across the web matter more here than technical SEO polish alone — which is often more achievable for a focused, smaller company than out-competing established players purely on search rankings.


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