Case Study
3.2× more AI citations in 90 days for a B2B SaaS brand
✓ 3.2× increase in AI citation share across 40 target queries
✓ Domain appeared in AI Overviews for 18 of 40 queries (up from 4)
✓ 4x more referral traffic from AI assistants within 90 days
A B2B analytics company had strong organic rankings but was nearly invisible in AI answers. When prospects asked ChatGPT “best analytics tools for startups,” the model cited three competitors and never them.
The problem
Their content ranked in classic search but wasn’t built for citation:
- No
llms.txt, minimal structured data. - Core claims and statistics buried in long paragraphs.
- Thin presence on the third-party hubs AI models actually read.
What we did
We ran a GEO program focused on citation-worthiness:
- Technical foundation added
llms.txt, full JSON-LD entity markup, and made every key page fetchable by AI crawlers. - Citation engineering restructured core pages around direct, quotable answers: a clear definition, a named statistic, and a “why” within the first 100 words.
- Data-rich programmatic pages built comparison and “alternatives” pages that gave models specific, citable facts.
- Distribution strengthened presence on review sites and comparison hubs the models read.
- Monitoring a scheduled agent queried ChatGPT, Perplexity, and Gemini weekly to track citation share and alert on changes.
The result
Within 90 days, the brand’s AI citation share more than tripled. The monitoring agent now runs continuously, so the client gets a Slack alert the moment a competitor displaces them in an answer and we can respond in days, not quarters.