Every question shows its category, outcome and how each engine answered.
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Buyer-decision category
Questions
Won
Partial
Lost
Fit for my situation
4
1
1
2
Comparison and switching
3
0
1
2
Problem-aware: what solves my problem
4
2
1
1
Category discovery: which providers exist
3
1
1
1
Constraints: pricing, terms and limits
3
2
0
1
Demand-driven: how buyers phrase it
1
0
0
1
8 of 18 buyer questions never recommended Example Brand; 4 did on some repeats; 6 on every repeat. OpenAI recommends Example Brand in 48% of its 54 judged answers; Google AI Overviews in 33% of 54 — 1.5× apart.
The action plan: Now, Next, Later
Each action names the page, the buyer questions it reaches, the evidence behind it, the deliverable and the effort.
1
Ask creator-guides.example to add Example Brand to its cited listMedium · 5 buyer questions · mostly fit for my situation · Medium effort · third-party visibility
2
Ask reviews.example to add Example Brand to its cited listMedium · 5 buyer questions · mostly problem-aware: what solves my problem · Medium effort · third-party visibility
Labels on every action: Priority · Evidence strength · Opportunity size · Effort. Evidence support is explained inside Evidence strength; none of it is a forecast of movement.
What the reliability block states
20-question set: 18 buyer questions plus 2 branded controls · 5 engines · 3 repeats · 300 of 300 answers collected. Primary visibility figures use the 270 buyer-question answers; 30 branded-control answers are reported separately.
Engines planned: OpenAI, Perplexity, Gemini, Google AI Overviews, Claude. An engine that cannot be sampled is printed “Not measured”, never as zero.
Ranges are question-resampling sensitivity ranges (question-resampling percentile bootstrap), not 95% confidence intervals.
2 branded controls are measured and reported only in the Branded-control responses block; no primary figure includes them.
Every figure is exported as HTML, PDF, CSV, JSON and Markdown from the same stored numbers.
Example data for a fictional business.
See why AI recommends competitors—and what to fix first.
Your report is generated from your own measured answers.