Executive summary
State the collection date, market, providers, eligible coverage, headline findings, and the decision the report supports.
Free ungated template
AI visibility report template
A client- and leadership-ready reporting structure that keeps the raw evidence, collection coverage, and limitations behind every conclusion.
A report, not a scorecard screenshot
Let readers reconstruct the result
Fill the template only after the collection is complete. Write the executive summary last so it reflects eligible results rather than the outcome you expected before testing.
Link every important statement to an answer, citation, prompt, or documented calculation. Put full transcripts and source URLs in an appendix so the main report stays readable without becoming opaque.
Six required sections
From protocol to next action
Scope and protocol
Record the frozen prompts, provider surfaces, model identifiers, grounding requirements, locale, session state, and exclusions.
Visibility and prominence
Report neutral discovery mentions separately from brand-named diagnostics, then show whether the brand led or merely appeared.
Citations and sources
List claimed-domain citations, recurring third-party sources, unsupported claims, and source gaps by prompt.
Competitor evidence
Compare selected competitors at the answer level without presenting a small convenience sample as total market share.
Actions and rerun plan
Tie each action to stored evidence, name an owner, define completion evidence, and preserve the frozen set for the rerun.
Contextual next steps
Connect this resource to answer evidence
Use the next resource that matches the decision at hand: define the program, inspect the method, or collect a comparable cross-provider baseline.
01
Measure mentions and citations
Run a frozen 25-question benchmark across four providers and inspect the underlying answer evidence.
02Audit the measurement method
Review eligibility, denominators, coverage, citations, retention, and like-for-like rerun rules.
03LLM citation audit template
Map cited pages to supported claims, brand effects, evidence gaps, owners, and actions.
Common questions
Use the resource without overstating the result
What belongs in an AI visibility report?
Include the test protocol, question set, provider coverage, brand mentions, prominence, citations, competitors, representation accuracy, raw evidence, limitations, and prioritized actions.
Should an AI visibility report use one headline score?
A composite can aid scanning, but it should never replace component metrics. Visibility, prominence, citations, accuracy, sentiment, and coverage answer different questions and should remain visible.
How often should the report be updated?
Update it after meaningful changes have had time to become retrievable. Use the same frozen prompts and protocol when the purpose is comparison; otherwise label the new collection as a different benchmark.
Can this template be used for clients?
Yes. Replace the placeholders, keep raw evidence in an appendix, disclose the collection method, and avoid promising rankings, citations, or traffic from a directional snapshot.
Apply this resource
Put ai visibility report template into a measured workflow
Preserve the questions, conditions, answers, citations, and failures so the next decision rests on inspectable evidence.