Representative example

A sample GEO Visibility Report

This is the monthly deliverable every Resonate Labs engagement produces: a full read on where a company stands inside AI answers, and a ranked plan to change it. Walk through it section by section below. The company, competitors, and numbers are invented to show the shape. Real reports run on your own category, your own buyers, and your own data.

  • 150 queries
  • 4 engines
  • 5 personas
  • 30-day action plan
Representative example · illustrative data

A real report runs on your own category, competitors, and numbers.

A GEO Visibility Report answers one question: when your buyers ask AI assistants about your category, do you show up, and if not, who does instead? Everything below is built to demonstrate the deliverable. None of it is real client data.

The scorecard

The top-line read across the 150 queries this company's buyers actually use.

12%
Visibility
18 of 150 queries
67%
Win Rate
12 of 18 visible queries won
132
Invisible
queries where [Client] is absent
28
Actions
4 L1 + 15 L2 + 9 L3

What this is and why it matters

Visibility is how often the brand appears at all. Win rate is how often it shows up as a recommended option when it does appear. Invisible counts the queries where it never surfaces. Here the pattern is common and honest: present in a small slice of buyer questions, competitive when present, and missing almost everywhere else. A high win rate on a low visibility base is a reach problem, not a persuasion problem.

Funnel position

GEO visibility is not one number. It changes with where the buyer is in their journey.

Early funnel: where [Client] is absent
Problem Identification
4%
Solution Exploration
8%
Requirements Building
6%
Late funnel: where [Client] competes
Comparison
30%
Shortlisting
28%
Validation
25%
Artifact Creation
12%

What this is and why it matters

This company shows the shape we see most often: a little present near the finish, where buyers compare a shortlist they have already built, and close to absent at the start, where they first describe the problem. Late-funnel presence feels reassuring, but by then the shortlist was assembled without them. The visibility that changes pipeline is the visibility at the beginning, and that is exactly where the gap sits.

Share of voice

Who owns the AI answer when your buyers ask, and where you land against them.

Competitive Share of Voice

VendorMentionsShare of Voice
Competitor A64
18.6%
Competitor B52
15.1%
Competitor C47
13.7%
Competitor D38
11.0%
Competitor E31
9.0%
[Client]18
5.2%
Competitor F15
4.4%
Competitor G11
3.2%

What this is and why it matters

Share of voice counts every brand mention across the run and ranks the field. Sitting sixth of eight, behind five competitors, means the engines reach for someone else first when your buyers ask. The brands above the line are not necessarily better products. They are more legible to AI, because they have published the content that answers the question being asked. This is the scoreboard a 30-day plan is built to move.

Where you're invisible

A sample of the early-funnel queries where [Client] never appears and a competitor wins the answer.

Invisibility Gaps

Buyer query (early funnel)Who wins it
best project management software for distributed teamsCompetitor A
how to track dependencies across multiple teamsCompetitor C
agile project management for fully remote teamsCompetitor B
project management software with built-in time trackingCompetitor A
how to run an effective sprint retrospectiveCompetitor D
resource planning tools for growing agenciesCompetitor E

What this is and why it matters

A gap is a buyer query where the brand never appears and a competitor does. These are high-intent, early-funnel questions, the moments a buyer is choosing the vocabulary that frames everything after. Closing them is pipeline, not vanity. Each row is a buying conversation happening right now without you in it, and the brand that answers it shapes the requirements the buyer carries into every later stage.

The 30-day action plan

Every report ends with a ranked plan, not just a diagnosis. The full plan here runs 28 items across three layers. A representative sample follows.

L1

Unblock AI crawlers on the docs subdomain, where robots.txt and a noindex tag are currently hiding the most-cited pages in the category.

L1

Add Organization and SoftwareApplication schema to the homepage so engines can resolve what the company is and which category it competes in.

L2

Rewrite the integrations page to answer "does it connect to [tool]" directly, in extractable language, for the integrations buyers name most.

L2

Add a plan-comparison table to the pricing page so engines can lift tiers and limits cleanly into a comparison answer.

L3

New page targeting the invisible early-funnel cluster: project management for distributed teams, written to match how buyers phrase the problem before they know the category.

L3

New comparison hub: the category's workflow tools compared, structured so each row is a clean, citable answer to a head-to-head query.

What this is and why it matters

Layer 1 is technical fixes that gate whether AI can read the site at all. Layer 2 optimizes pages that already rank so they answer the question being asked. Layer 3 builds net-new content aimed at the invisible clusters. The layers are ordered on purpose: a new page cannot win an answer if a crawler cannot reach it, so the gating fixes come first. The plan is sized to a team's real deployment capacity, not an idealized roadmap.

The strategic read

How the numbers add up to a single story, and what to do about it.

[Synthesis] [Client] reads as wins-when-present, absent-by-default. The brand appears in just 12% of the 150 buyer queries, yet it converts two of every three it does enter. The problem is reach, not persuasion. Visibility concentrates at the late funnel, near 28% at shortlisting, and collapses at the start where buyers first describe their problem, at 4%. Competitors A through C own that early ground by publishing content shaped around how buyers search before they know the category's vocabulary. By the time [Client] enters the conversation, the requirements have already been framed by someone else. The 28 prioritized actions attack that gap in three layers: 4 technical fixes that gate crawlability, 15 optimizations to pages that already rank, and 9 net-new builds aimed at the invisible early-funnel clusters.

Frequently asked questions

What people ask most when they first see a sample report.

Is this a real client's report?

No. It is a representative example built with illustrative data to show the shape of the deliverable. The company, competitors, queries, and numbers are all invented. A real report runs on your own category, your own buyers, your own competitors, and your own numbers.

How do I get a report for my company?

Start with a free GEO Snapshot. The full audit then runs 150 buyer-intent queries across ChatGPT, Claude, Gemini, and Perplexity, scores where you appear, and returns a ranked 30-day action plan like the one shown here.

Which AI engines does the report cover?

Every report scores visibility across the four engines buyers actually use: ChatGPT, Claude, Gemini, and Perplexity. The methodology behind the scoring is documented in How We Measure GEO.

What do the metrics mean?

Visibility is how often you appear at all. Win rate is how often you show up as a recommended option when you do appear. Share of voice is who owns the answer across all brand mentions. Each term is defined with examples in the GEO Metrics Glossary.

Next step

See this on your own data

This sample shows the shape. A real report runs on your category, your buyers, and your competitors. Start with a free GEO Snapshot and we will show you where you stand inside the AI answers your buyers already trust.

  • Where you appear today across the four engines
  • Who is winning the answers you are absent from
  • The first moves that would change it