Executive result
Preference gap found
The sample report shows that the client brand appears in AI answers but loses direct recommendation battles in several categories.
Sample client report
A client-ready AI visibility report your agency can show without exposing private prompts.
This anonymized sample shows the report structure agencies use to explain AI visibility, competitor preference gaps, missing proof, source problems, remediation work, and retest priorities without leaking client, competitor, or prompt details.
What the buyer can verify
ChatGPT, Claude, Gemini, Perplexity, Grok, and Mistral in the standard audit panel.
Market, language, industry, persona, and competitor context preserved for every audit.
Prompt-level answer evidence with sources, hallucination checks, and missing-proof gaps.
Remediation missions, retests, and client-ready exports for recurring agency work.
6
standard providers
98
LLM prompts
40
AI Preference prompts
Anonymized evidence
Prompt text redacted
Each example preserves provider, category, rank, source quality, and remediation context while hiding exact prompts and brand names.
Agency output
Mission queue + retest plan
The final section turns answer gaps into a prioritized delivery backlog and a repeatable proof-of-progress report.
Report structure
From AI answer to client action
A useful AI visibility report must show more than a score. It should show what the model said, which provider said it, why the answer favoured another option, which public evidence was missing, and what the agency should fix next.
Executive summary
Summarizes current recommendation risk, provider variance, competitor pressure, and the few fixes that matter most for the next client conversation.
- AI Preference Score
- Direct win rate
- Provider consistency
Prompt evidence appendix
Shows provider, category, answer excerpt, citation/source pattern, rank, and evidence quality. Prompt wording is redacted in the public sample.
- Provider-level answer context
- Source/citation quality
- Evidence status
Remediation plan
Converts gaps into approved work: proof blocks, FAQ/schema updates, entity clarity, external source strengthening, and retest targets.
- Mission priority
- Target surface
- Retest metric
Anonymized evidence
What the sample report shows without naming the client or competitors
The report uses neutral labels so prospects can understand the workflow without exposing a real workspace. The commercial point remains clear: VectorGap finds why AI hesitates, not just whether the brand was mentioned.
Prompt category
Overall recommendation
Provider answer ranks Client Brand #2 behind Competitor A because public proof is weaker and category-specific outcomes are less explicit.
Source issue
Citation gap
The answer cites an outdated third-party page and misses the client’s stronger proof page because the claim is not structured as an extractable source block.
Mission
Build AI-readable proof
Create a concise comparison-safe proof section, add schema and FAQ support, update company facts, then retest the same category/provider target.
Client-ready close
Use the report to sell the next month of work
The best agency report does not end with “visibility is down.” It ends with a short list of deliverables the client can approve and a retest plan that proves whether those deliverables moved AI answers.
Fix sprint
Turn weak categories into a focused two-week proof and extractability sprint.
Monthly monitoring
Retest the same providers, markets, personas, and competitors so the client sees trend movement.
Quarterly preference review
Show which competitors still win recommendations and what evidence your agency should ship next.