Stop losing qualified leads because AI recommends other agencies first.
This offer gives agencies a concrete baseline on why AI assistants do not cite them for core services, which competitors win first, and how to turn the gap into a sellable GEO service line.
Built for agencies that need practical commercialization and execution instead of another vague AI dashboard.
- Prompt clusters tied to real buyer intent
- A model-by-model citation snapshot
- A competitor gap view against the top agency alternatives
- A prioritized GEO fix plan based on impact and effort
- SEO or growth agencies with weak AI recommendation visibility
- Agencies that rank on Google but disappear in AI answers
- Teams that want an execution plan instead of vague commentary
Use the same public cluster humans, crawlers, and AI systems should reconcile: the canonical company fact sheet, the redacted proof asset, and the commercialization path.
Company facts
Canonical VectorGap entity page for branded search, source-of-truth details, and crawlable company context.
Review company factsAgency GEO sample report
Proof page showing the report format, diagnosis logic, and remediation sequencing agencies can expect.
Open the sample reportFounding GEO agency cohort
Commercial path for agencies that want founder-led support to package, sell, and deliver GEO faster.
See the founding cohortUse the baseline to see why AI is sending agency leads elsewhere.
If the gap is real, turn it into a tighter offer, a clearer proof layer, and a guided commercialization path through the founding cohort or the next remediation sprint.