Public sample report

Sample AI Visibility Report

See how a VisAI Starter Snapshot explains GEO readiness, answer-source coverage, top fixes, and evidence limits without exposing private report data.

Executive GEO Snapshot

northstarcrm.example

Snapshot Diagnostic generated from fictional crawl and diagnostic evidence. Use this as a format preview, not a live visibility claim.

Limited diagnostic

Agent-Ready Score

68/100

Limited diagnostic

AI answer evidence

Configured diagnostic

Not platform-owned visibility data

Primary blocker

Thin citation assets

Buyer proof is hard to cite

Readiness summary

The fictional site is technically crawlable, but it lacks enough public, citable buyer evidence to support a stronger AI visibility diagnostic.

Recommended next action

Publish sourceable proof and FAQ assets, then re-scan the public marketing and comparison pages to validate citation readiness.

Evidence Coverage

What the report makes visible

A paid diagnostic should separate checked evidence from missing evidence so teams know what can be acted on and what remains unmeasured.

Crawler access

Passed

Public pages returned 200 and were not blocked by robots.txt.

Rendered product copy

Warning

Core category copy was present, but several proof points were hidden behind interaction.

Structured data

Warning

Organization schema was found. SoftwareApplication and FAQPage markup were not present.

Citation assets

Failed

No comparison, benchmark, customer proof, or integration evidence page was detected.

llms.txt

Passed

A public agent profile was available and linked only public pages.

Answer evidence

Not measured

Repeated multi-platform answer coverage was not measured in this public sample.

AI Answer Source Coverage

Clear source status without overclaiming

The sample lists common answer and search AI sources, then labels each one according to the evidence represented in the report.

ChatGPT / OpenAI

Not measured

This sample does not claim measured ChatGPT visibility.

Perplexity

Not measured

No platform-owned Perplexity measurement is represented in this example.

Claude

Not included in MVP

This source was outside the configured MVP capture scope.

Gemini

Not included in MVP

This source was outside the configured MVP capture scope.

DeepSeek

Configured diagnostic

Used here as an OpenAI-compatible diagnostic source, not a platform-owned visibility source.

Google AI Overview

Not measured

Google AI Overview was not measured in this sample.

Top Fixes

Prioritized fixes a team can ship

Starter Snapshot examples focus on the first three fix themes. Pro-only page-level action plans are not shown in this public sample.

1Effort: Medium

Buyer proof is scattered across short homepage claims.

Why it matters for AI search
Answer systems have fewer concrete facts to cite when proof, use cases, and outcomes are not on stable public pages.
Fix
Publish a customer proof or use-case page with visible outcomes, buyer roles, integrations, and sourceable details.
Validation
Re-scan the public proof page and confirm the page is crawlable, readable, and listed in sitemap and llms.txt.
2Effort: Low

FAQ content is not structured around high-intent comparison questions.

Why it matters for AI search
Clear FAQ answers can help diagnostic systems understand category fit, limitations, and buyer objections.
Fix
Add 6 to 8 visible FAQ answers covering alternatives, integrations, security, pricing model, and best-fit users.
Validation
Check rendered HTML and schema alignment, then verify the questions appear in the public crawl evidence.
3Effort: Low

Schema does not describe the software product deeply enough.

Why it matters for AI search
Aligned Organization, SoftwareApplication, Product, and FAQ markup may improve citation readiness when it matches visible content.
Fix
Add conservative structured data for the product category, audience, application type, pricing page, and support links.
Validation
Run structured-data validation and confirm the marked-up facts are visible on the same public page.

Evidence Limits

What this sample does not claim

Evidence limits make the report more credible. They help buyers separate crawl-backed recommendations from claims that were not measured.

Static sample only

The data is fictional and does not represent a real customer, scan, report ID, evidence hash, or private token.

No protected report access

This page does not link to a real protected report and does not bypass report permissions.

No platform outcome promise

The sample treats readiness as a scoped diagnostic and does not represent platform-owned visibility inside named AI products.

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