We scanned 10 B2B SaaS brands in ChatGPT — here's what the AI said
Most B2B SaaS companies assume their brand shows up when buyers ask AI tools for recommendations. Most are wrong — or at best, only partially right.
We scanned 10 real B2B SaaS brands across 10 different categories using ChatGPT and Claude. For each brand, we ran the most natural discovery query a buyer in their space would ask. Then we documented whether the brand was mentioned, where it ranked in the AI's response, and what the AI said about it.
Results are anonymized (Company A through Company J) to keep the focus on patterns, not brand callouts.
What we measured
For each brand, we ran one primary category query — the question a B2B buyer would realistically ask when evaluating tools. We ran it in both ChatGPT (GPT-4) and Claude (Sonnet). We recorded: whether the brand was mentioned at all, what position it appeared in the response (first mention, second, third), and how the AI framed it (category leader, budget option, niche alternative, etc.).
This is exactly the kind of scan OUTRANKgeo runs — systematic queries across both models, tracked over time. We ran a one-time snapshot here to share the methodology and results.
The 10 brands
| Brand | Category | Query we asked | Mentioned? | AI rank | Who was #1 |
|---|---|---|---|---|---|
| Company A | CRM | Best CRM for a B2B SaaS sales team | Yes | 3rd | HubSpot |
| Company B | Customer Support | Best customer support tool for a SaaS startup | Yes | 3rd | Intercom |
| Company C | Email Marketing | Best email marketing platform for B2B SaaS | No | — | HubSpot Email |
| Company D | Product Analytics | Best product analytics for SaaS companies | Yes | 2nd | Mixpanel |
| Company E | Project Management | Best project management tool for a remote SaaS team | Yes | 4th | Linear |
| Company F | No-Code Web | Best website builder for a B2B SaaS company | Yes | 1st | Itself |
| Company G | Async Video | Best async video tool for remote B2B teams | Yes | 1st | Itself |
| Company H | Performance Mgmt | Best performance management software for a 50-person startup | No | — | 15Five |
| Company I | Subscription Billing | Best subscription billing platform for B2B SaaS | Yes | 2nd | Stripe |
| Company J | Password Management | Best password manager for a startup team | Yes | 1st | Itself |
What we found
7 of 10 brands were mentioned. But most weren't the first recommendation. Being mentioned is not the same as being recommended. Brands that appeared at position 3 or 4 in an AI response are present — but the buyer's attention is already on whatever was listed first. In a format with no links, no page two, and no "other options" sidebar, position matters a lot.
3 brands were invisible. Companies C and H were not mentioned at all. For Company C (email marketing), the AI specifically recommended a competitor for B2B use cases, noting that Company C is better suited for B2C. For Company H (performance management), two competitors were recommended and Company H wasn't named. If buyers are using AI to shortlist tools, these companies are simply not in the consideration set.
Category leaders dominate. Companies F, G, and J were each the #1 recommendation in their category — clear, confident, no hedging. These brands have strong, consistent presence across the sources AI models draw from: review sites, editorial coverage, community discussions, and authoritative guides. Their AI visibility reflects their broader content footprint.
How you're framed matters as much as whether you're mentioned. Company B was mentioned — but as "a more affordable option" after Intercom and Zendesk. If a buyer is asking for the best tool and your brand appears as the budget pick, you've been positioned in a way you probably didn't choose. AI models reflect what the wider internet says about your brand.
B2B-specific queries change the picture. Company C was almost certainly visible in broader email marketing searches. The moment we added "for B2B SaaS" to the query, it dropped out entirely. Query specificity matters — and most teams only track their brand name, not how they appear in the queries their buyers actually ask.
What to do with this
The first step is knowing your baseline. You cannot fix what you cannot see. Run your brand through the queries your buyers would realistically ask — not just "[brand name] reviews" but "best [your category] for [your ICP]." Run it in ChatGPT. Run it in Claude. Document what you see.
If you're not there, or if you're framed in a way that doesn't match your positioning, that gap comes from what the AI has learned about your brand from external sources. The playbook for closing the gap is consistent: build authoritative coverage in the publications and communities your buyers trust, ensure your G2/Capterra/directory presence is accurate, and create content that answers the exact questions buyers are asking — not just content that mentions your product.
For a deeper framework, see our guide on why AI recommends your competitors and how to fix it and our GEO glossary for the terminology behind AI visibility measurement.
OUTRANKgeo runs this kind of scan automatically — pick your brand, set the queries you care about, and get a structured view of your AI visibility across ChatGPT and Claude. Try a free scan here.