Key takeaways
- SaaS buyers now split into two very different AI query patterns: "best [category] software" questions that pull from G2 and Capterra, and technical implementation questions that pull from docs, GitHub, and Stack Overflow. Most AI visibility tools only track the first kind.
- Mid-authority domains (DR 46-90) took close to half of all ChatGPT Search citations in August 2026, per Promptwatch's data — meaning a solid product-led SaaS blog can compete with Forbes-tier sites for citations without needing massive domain authority.
- G2 and Capterra review volume now functions as a gating mechanism for AI recommendations, not a nice-to-have: one analysis found 99% of tools named in ChatGPT's "alternatives" answers had G2 reviews, versus 78.8% with Wikipedia pages.
- No mainstream AI visibility platform tracks developer-specific AI search engines like Phind, which lean on GitHub, official docs, and Stack Overflow instead of marketing pages — a real blind spot if your buyer is an engineer.
- Pricing for serious SaaS-grade tracking ranges from about $29/mo (Otterly AI's bare-bones tier) to $500+/mo for platforms with competitor benchmarking, crawler logs, and content generation built in.
Why SaaS buyer queries behave differently in AI search
Here's the thing nobody tells you when you start shopping for an AI visibility tool: a SaaS buyer journey doesn't look like one query, it looks like two completely different ones that happen to end at the same product page.
The first is the classic "best CRM for startups" or "top project management tools for remote teams" query. This is a commercial-intent, review-driven question, and it behaves almost exactly like SEO's old "best X" listicle game, except the citations now come from G2, Capterra, and Software Advice instead of blue links. After G2 acquired Capterra, Software Advice, and GetApp from Gartner in February 2026, those three platforms alone account for roughly 53.7% of review-platform citations inside Google AI Overviews. Separate research on