AI Search Visibility Benchmark · June 2026

Nearly half of funded B2B SaaS are invisible to AI

We asked ChatGPT, Claude, Perplexity, and Google AI Overviews to recommend the best tool in 98 funded SaaS categories: the unbiased question a buyer would actually ask. Here's who showed up across all four, and who didn't.

48%

of funded B2B SaaS are invisible on all four AI engines at once

98
companies tested
4
AI engines (392 probes)
0%
visible on all four
98%
invisible on Google AI Overviews

Invisible, by engine

% of companies NOT named when a buyer asks for the "best [category] tool"

ChatGPT
59%
Claude
64%
Perplexity
64%
Google AI Overviews
98%

Google is the brutal one

Google showed an AI Overview for 90% of these commercial queries, but named only 2 of 98 companies. For "best [category] tool" searches, Google's AI describes the category rather than crowning a winner, and when it cites, it leans on YouTube, Reddit, and Forbes, not vendor sites. That's where the authority has to live to get in.

How many engines name each company

No company is visible on all four; "AI presence" is never a simple yes or no

0 engines
48%: invisible everywhere
1 engine
17%
2 engines
7%
3 engines
28%
All 4 engines
0%: nobody

The engines disagree, so checking one lies

The AIs agreed only ~75% of the time on who's visible, and no company appears on all four. A company invisible on ChatGPT can show on Perplexity; almost none show on Google. Check one engine (what nearly every "AI visibility" tool does), and you're seeing a fraction of the picture.

It's not product quality. It's not funding.

Well-funded products, invisible, while incumbents get named instead

Invisible companyWho AI recommends instead
Tabnine: AI codingGitHub Copilot, Cursor
Aviatrix: cloud securityWiz, Prisma Cloud
Coralogix: observabilityDatadog, Dynatrace
SpotDraft: contract managementIronclad, DocuSign CLM

Why: authority, not features

AI recommends the brands that are referenced, reviewed, and discussed across the web in roundups, comparisons, forums, video, and press. It doesn't read your homepage and decide you're the best. It surfaces the names the internet already talks about. A flawless product can still be invisible if the web isn't citing you.

Where the citations actually come from

A second, separate dataset: GetIntel's own live tracking of the AI-visibility/GEO tools category, not the 98-company study above.

Your own domains
0%
Competitors' domains
8%
Independent third parties
92%

Of that 92%, five sources carry most of it

Reddit
51%
YouTube
35%
LinkedIn
20%
TechRadar
13%
Search Engine Land
10%

Community platforms, not editorial media, dominate: Reddit and YouTube alone account for more citation share than every blog, review site, and trade publication in the category combined. Classic backlink-style outreach to "best tools" roundups still works, but it's fighting for a much smaller slice than a genuine Reddit thread or a well-made video.

Where do you show up across AI search?

GetIntel runs this exact audit across every major AI engine: the gaps, the winners, and the fixes. Find out where your brand (or your clients) stand.

Method: 392 probes: 98 funded B2B SaaS companies (one per category) × 4 engines: ChatGPT (GPT-5.5 + web search), Claude (Sonnet 4.6 + web search), Perplexity (Sonar Pro), and Google AI Overviews (via DataForSEO, US / English). Unbiased query: "best [category] tools," with no brand name in the prompt. Run through GetIntel's own production infrastructure. June 2026 · ~$15 total. Stability: re-running 20 companies on ChatGPT held the result 85% of the time. Live models are non-deterministic; Google AI Overviews are locale-dependent and didn't trigger for 10% of queries (recorded honestly). Aggregate rates are the defensible figures.

Method (citation-source section above): a separate, ongoing dataset from GetIntel's own production tracking of the AI-visibility/GEO-monitoring tools category: 1,139 AI answers to 400 real buyer prompts, across ChatGPT, Gemini, Perplexity, and Google AI Overviews, citing 4,838 distinct sources. Not the same sample as the 98-company study above; reported separately on purpose. Refreshed continuously, last pulled July 2026.