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Observed in the public pilot query pool for AI code editor recommendations.
AI search visibility monitoring
GeoBeam tracks buying-intent prompts, parses brand and competitor mentions, verifies cited sources, and turns evidence into weekly GEO actions for SaaS teams.
Concierge pilot first. No ranking guarantees. Evidence must trace back to answers and citations.
Why teams need this
A founder can ask ChatGPT or Perplexity for the “best email API for startups” and get a short list with citations. If competitors appear and you do not, traditional rank tracking will not explain what happened.
GeoBeam measures that answer layer directly: which prompts matter, who appears, which URLs influence the answer, and which page-level changes are backed by observed evidence.
Production pilot snapshot
OpenAI monitor scans; Perplexity is excluded until production smoke is complete. Last updated Jun 2, 2026. Public proof metrics are production aggregates from the GeoBeam pilot and are directional, not customer endorsements.
Observed pilot snapshots
Observed in the public pilot query pool for AI code editor recommendations.
Benchmarked against common project-management competitors in AI answers.
Tracked through buying-intent Email API queries and cited-domain extraction.
How it works
Start with buying-intent prompts across a category, then reuse overlapping scans.
Run low-cost monitor scans first; reserve deeper research scans for weekly analysis.
Extract your brand, competitors, position, confidence, and evidence snippets.
Normalize and verify URLs so suggested actions are tied to sources that actually appeared.
Self-GEO loop
Category-intent page for generic tool discovery prompts.
Comparison-intent page for teams priced out of broader enterprise platforms.
How-to page for brand mention tracking and answer evidence.
Concierge audit
We will track your SaaS across 20 buying-intent prompts, compare competitor mentions, and send the answer/citation evidence behind every recommendation.