B2B service: +22% organic leads from AI referrals

The problem

Ask an assistant for suppliers in this category and it named competitors. The site ranked in classic search, so the gap was not demand or authority — the pages simply did not say, in extractable form, who this company serves and on what terms.

What we did

A GEO and SEO bundle: entity markup so services, industries, geography and integrations attach to the company rather than float as copy; case pages written as facts; comparison FAQs built from the objections the sales team actually hears.

We also checked technical reachability separately. A page can rank in ordinary search and still be invisible to an assistant's fetcher — that is a different test, and it is the one most sites fail.

Result

Leads attributed to AI referrals grew to 22% above the starting level over five months, measured as a share of organic. The project is under NDA, so the brand and absolute volumes stay out — the trend and the method do not.

Method: how to get into an assistant's shortlist

Specifics beat positioning. “We migrate your data and go live in four to six weeks” gets quoted. “Individual approach” does not.

Answer real objections. Q&A blocks built from actual client questions match the way users phrase things, which is how they end up in answers.

Make the entity legible. Services, industries, geography, integrations — marked up so the attributes bind to your company.

Be where the models look. Directories, review sites and trade communities supply part of the answer, not only your own site.

Services used on this project: Generative Engine Optimization, SEO.

Relative metrics only: these projects are under NDA, so the industry, the timeframe and the direction of change are published and the brand and absolute volumes are not. On a call we walk through the same structure applied to your market: baseline, work, expected metric.