From Invisible to Cited: How a B2B SaaS Doubled AI-Generated Traffic in 90 Days

Orbital Analytics had strong traditional SEO rankings but was absent from ChatGPT, Perplexity, and Google AI Overview answers for their core buying-intent queries. Competitors were being named in AI responses while Orbital was not — costing them qualified pipeline at the top of the funnel.

Their content library was optimized for keywords, not for the structured, entity-rich answers that LLMs pull into generated responses. Product pages lacked schema, comparison content was thin, and the brand had no presence on the third-party sources (Reddit, G2, industry roundups) that AI models cite.

We ran a full AI visibility audit across 120 high-intent prompts, mapped which sources LLMs were citing for each, and identified the gaps. From there we rebuilt the content plan around four pillars:

• Entity-first product and solution pages with complete Organization, Product, and FAQ schema.
• A comparison content cluster targeting every competitor prompt ("vs" and "alternatives to").
• Earned placements in the review sites, community threads, and roundups that AI models cite.
• Ongoing prompt monitoring so we could measure share of AI voice by category and iterate weekly.

Within 90 days Orbital went from being cited in 6 of 120 tracked prompts to 47 of 120 — a 7.8x increase in AI share of voice. Traffic from AI-referred sources (ChatGPT, Perplexity, Claude, Copilot) grew from negligible to ~12% of total organic sessions, and that cohort converted at 2.1x the rate of traditional organic.