Fictional seven-page example
See what an AI visibility audit report should explain.
Review the measurement scope, engine-level results, source and competitor picture, prioritized actions, 30-day pilot and limitations before opening the full PDF.
No signupEntirely fictional dataSeven A4 pages
Start with the executive summary, not a mystery score.
The fictional Northstar CRM example puts four indicators beside the strongest signal and largest evidence gap. Every value comes from the defined 50-observation scope below.
State the measurement design before interpreting results.
These numbers are illustrative. The useful pattern is the disclosed scope: one frozen prompt set, one observation per question and engine, and a dated baseline.
Defined question set
Awareness, consideration and evaluation questions for a fictional B2B agency audience in the United States.
Named systems
ChatGPT, Gemini, Perplexity, Google AI Mode and Claude are reported separately before any combined operating metric.
Dated baseline
One question per engine, measured on 28 September 2026. The report does not present the result as a permanent rank.
Show engine results separately.
The fictional example makes variation visible instead of hiding it inside one total.
| Engine | Tests | Mention | Citation | Top 3 | Index |
|---|---|---|---|---|---|
| ChatGPT | 10 | 70% | 30% | 30% | 50% |
| Gemini | 10 | 60% | 20% | 30% | 42% |
| Perplexity | 10 | 70% | 70% | 40% | 56% |
| Google AI Mode | 10 | 60% | 30% | 30% | 44% |
| Claude | 10 | 50% | 20% | 10% | 32% |
Translate observations into verifiable actions.
The sample does not recommend generic content volume. It connects recurring evidence gaps to four specific work items.
1. Clarify pricing and scope
Publish packages, audience, exclusions and typical implementation time with a visible update date.
2. Structure outcome case studies
Separate the starting point, intervention, measurement period and quantified result.
3. Expand integration evidence
Create dedicated pages for the most important integrations, including limitations.
4. Publish comparison pages
Differentiate the fictional brand factually from recurring alternatives, including non-fit scenarios.
End with a comparable 30-day pilot.
A credible report specifies what happens next and how the second measurement stays comparable. The 30-Day AI Visibility Action Plan turns this sequence into an owned Excel tracker.
Evidence inventory
Approve facts, sources and priorities.
Core pages
Prepare pricing, integration and case-study pages.
Comparison evidence
Publish comparisons and update relevant external profiles.
Repeat measurement
Use the same prompts and scoring rules, then record follow-up actions.
Start free
Log your own dated observations.
Use the 50-row Excel template to capture buyer question, engine, date, mentions, citations, competitors and next actions.
Get the free templatePlanned editable delivery
Build the report in PowerPoint.
Use 12 editable slides, native charts, evidence tables, recommendations and author guidance for the client handoff.
See planned template — $79 at launchComplete workflow
Build the full audit and client delivery.
The Lite kit adds 20 buyer prompts, a 200-row log, automatic dashboard, offer calculator, quickstart and this fictional report.
See the Audit Kit — $149Frequently asked questions
Is the example based on a real company?
No. Northstar CRM, every competitor and every metric in the report are fictional. The example demonstrates report structure rather than a real market claim.
What should an AI visibility audit report contain?
A useful report states the question set, engines, market, date and observation count before presenting mentions, citations, competitor context, evidence gaps, prioritized actions and limitations.
Can the report prove causation?
No. A repeated audit can document directional change under comparable conditions, but it cannot by itself prove causation or guarantee future mentions, traffic or revenue.