
We restructured a B2B SaaS site for AI search and it started getting cited in Perplexity within 30 days. Here is exactly what we changed, week by week, and the framework you can repeat.
When GrowthOS came to us, their website had a problem most B2B SaaS companies do not know they have: it was invisible to AI search engines. Their buyers, revenue operations leaders, were already asking ChatGPT and Perplexity questions like "best RevOps reporting tools." The engines were answering. GrowthOS just was not in the answers.
This is exactly what we changed, what happened each week, and the framework you can apply to your own site.
GrowthOS is a B2B SaaS platform for revenue operations teams. The product was strong; the website was not. Our audit found the same issues we see on most aging marketing sites.
We ran a two-week discovery sprint, then rebuilt the site in Webflow over three weeks. Five changes mattered most for AI visibility.
Every high-intent page was restructured around a real buyer question: the question as a heading, a two-to-three sentence direct answer immediately after, then supporting detail. We added genuine FAQ sections using language from real sales calls. This is the core of AEO: engines cite content that answers questions in clear, extractable language.
We implemented Organization, FAQPage, WebSite, BreadcrumbList, and Article schema so engines had machine-readable facts to extract. Schema does not guarantee citations, but it removes ambiguity, and an easy-to-extract page wins over one with neither schema nor direct answers.
The old WordPress site scored 54 on mobile; the new Webflow build scored 94. AI engines factor site quality into which sources they cite, and a fast, clean site is more likely to be crawled, parsed, and quoted. The gains came from Webflow's hosting, removing render-blocking plugins, and clean semantic code.
Instead of isolated posts, we structured content into clusters: a pillar page answering the big question, surrounded by supporting articles for the sub-questions, all linked together. Engines evaluate topical authority, so comprehensive coverage gets cited repeatedly.
We replaced vague marketing claims with specific, verifiable ones: real numbers, real outcomes, real client language. Experience, expertise, authoritativeness, and trust are not just Google ranking factors anymore; they are citation factors.
Within 60 days of launch, the site also produced a 3x increase in demo bookings, because the same answer-first structure that engines reward is the structure that converts human visitors.
Five steps you can apply to any website:
Thirty days is fast, and not every site will see citations that quickly. GrowthOS had advantages: a real product, existing domain history, and buyers already asking category questions in AI engines. A brand-new domain will take longer. But the direction is not optional. The businesses that structure for AI answers now become the default cited sources in their categories; everyone else catches up.
With clean structure, strong PageSpeed, and proper schema, sites often start seeing AI citations within 30 to 60 days of indexing, though a brand-new domain with no authority typically takes longer.
Direct, extractable answers under question-led headings, machine-readable JSON-LD schema, fast clean pages, and topical depth across a cluster of related content, backed by specific verifiable claims.
No. Schema removes ambiguity and makes a page easier to extract from, but it works alongside answer-first content and strong performance, not instead of them.
Yes. The same answer-first structure that AI engines reward also converts human visitors; in this case, demo bookings tripled within 60 days of launch.

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