5LLMs monitored
6perception metrics
30+Academy lessons
EUEU AI Act Ready
Redacted proof asset

Agency GEO sample report

This is the kind of baseline report agencies ask to see before they commit. It shows how VectorGap turns vague AI-search anxiety into a concrete diagnosis, a prioritized fix plan, and a sellable service narrative.

Redacted format preview: diagnosis - competitor gap - 14 day action plan - commercialization angle.

Report at a glance
  • Prompt cluster map tied to real buyer intent
  • Model-by-model visibility snapshot
  • Competitor citation comparison
  • Priority fixes by impact and effort
  • Commercial notes agencies can reuse in sales conversations
Example executive summary

The target agency ranks well on Google for local SEO terms, but AI assistants still cite broader competitors first on high-intent queries. The issue is not a total lack of authority. The issue is that the agency's proof, service-line clarity, and entity reinforcement are too fragmented for models to summarize with confidence.

In practice, this means the agency is losing recommendation share before prospects ever compare proposals. The fastest recovery path is to tighten one commercial service narrative, publish one proof-backed page that AI systems can cite, and support it with a short remediation sprint instead of generic content production.

1. Service-line citation gaps
  • Core prompts like "best local SEO agency for multi-location businesses" cite directories and generalist agencies before the target agency appears.
  • ChatGPT and Gemini both prefer broader brands with clearer service pages and stronger entity reinforcement.
  • Commercial risk: agencies lose shortlist trust before a prospect ever reaches the proposal stage.
2. Competitor source advantage
  • Competitors show cleaner service-page framing, stronger vertical proof, and more repeated mentions across trusted sources.
  • The target agency has credible work but the evidence is scattered across blog posts, case notes, and generic service copy.
  • Commercial implication: AI models can summarize competitors faster than they can summarize the target agency.
3. 14-day fix plan
  • Tighten one hero service page around a single buyer-intent query cluster.
  • Ship one proof asset: redacted before/after scorecard plus a short methodology page.
  • Add entity-supporting source hints, client-result evidence, and FAQ copy that maps directly to the lost prompts.
What does this sample report prove?

It shows the format agencies receive before a remediation sprint starts: diagnosis, competitor gap, a prioritized fix plan, and commercial notes they can reuse in client conversations.

Is this the full client deliverable?

No. This page is a redacted proof asset. A live baseline engagement goes deeper on prompt clusters, competitor evidence, entity reinforcement, and fix sequencing.

What should an agency do after reviewing the sample?

Either review the agency baseline offer for a focused diagnostic starting point or apply to the founding cohort if the goal is to package and sell GEO as a service line quickly.

What this proof asset is for

Agencies do not buy another dashboard because a landing page says "AI visibility." They buy when they can see the format of the diagnosis, the shape of the remediation plan, and how that work becomes a commercial offer. This sample exists to close that trust gap faster.

Start with the company facts page for canonical brand/entity context, then move into the Agency GEO Baseline Audit for the commercial diagnostic starting point, and use the partner directory and the press facts page.