Quick answer: AI engines recommend SaaS products from pages they can parse into facts: what it does, for whom, features, pricing, integrations and proof. A SaaS site optimised for AI visibility needs six page types – a plain-language homepage, feature pages per capability, transparent pricing, comparison/alternative pages, use-case pages and a customer-proof layer – each structured answer-first with Product and Organization schema.
Why most SaaS sites are invisible to AI
SaaS marketing language (“supercharge your workflow”, “the platform for modern teams”) is unparseable. An engine asked “best GEO tool for agencies” needs concrete attributes to match against the prompt – category, features, price band, target user. Sites that hide those behind demos and vague copy simply cannot be recommended, however good the product.
The six pages that drive AI recommendations
1. Homepage that states the category. First heading: what you are, in the words buyers use. “AI visibility platform for agencies” beats any slogan.
2. Feature pages. One page per major capability, each answering “how does X handle Y” with specifics and screenshots.
3. Public pricing. Engines answer “how much does X cost” constantly. Hidden pricing means the answer cites a competitor – or a guess.
4. Comparison and alternatives pages. “X vs Y” and “X alternatives” prompts dominate SaaS buying research; own those pages with honest comparison tables before third parties define you.
5. Use-case pages. “Best X for e-commerce/agencies/startups” prompts match segment pages, not generic homepages.
6. Proof layer. Case studies with numbers, review badges, named customers – corroboration engines can echo.
Technical layer
Product, Organization and FAQPage schema; open AI-crawler access (robots.txt guide); server-rendered content – many SaaS sites are JavaScript-heavy and partially invisible to AI bots; and an llms.txt summarising the product.
Measure the funnel AI actually uses
Track the buying prompts for your category across engines with IndexGraph.ai, then watch AI referrals in GA4 (setup guide). SaaS is the vertical where AI recommendations convert hardest – buyers arrive with the shortlist already formed.
FAQ
Should pricing really be public?
If competitors publish and you do not, AI comparisons feature their numbers and omit or estimate yours. At minimum publish starting prices.
Adexorb Technologies rebuilds SaaS sites for AI-era buying research – structure, schema and the pages engines cite.