Workflow proof
Prompt → answer → source → mission
Every example connects a visible AI answer gap to a fix the agency can execute.
Proof hub
See how VectorGap turns AI visibility gaps into agency work.
The proof layer gives buyers concrete examples of the workflow: prompt evidence, provider variance, competitor preference gaps, source issues, remediation missions, retests, and client-ready reporting.
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
Competitive proof
Preference, not presence
VectorGap separates “mentioned” from “recommended” so agencies can explain why clients lose decisions.
Retest proof
Same target, repeated
The retest layer reruns the same context so progress is easier to defend in reports.
Evidence examples
The proof buyers need before trusting another AI visibility tool
A dashboard number is not enough for agencies. They need exportable evidence that links AI answers to source quality, competitor preference, and delivery work.
Provider answer evidence
Inspect the answer, provider, category, rank, sentiment, citation/source quality, and whether the answer is supported by public facts.
Competitor gap evidence
See when AI chooses a competitor because that competitor has clearer public proof, stronger sources, or better entity consistency.
Mission evidence
Every important gap can become a remediation mission with target surfaces, expected metric movement, and retest criteria.
Proof assets
Pages that make evaluation easier
The public proof layer is designed for agency buyers who need to convince their team, client, or founder that AI visibility work can be packaged and reported.
Sample report
An anonymized deliverable format agencies can adapt for client conversations.
Open pageMethodology
Provider panel, prompt design, scoring logic, hallucination checks, GEO checks, and retest rules.
Open pageTrust and data handling
How VectorGap frames provider variability, reproducibility, exports, workspaces, and API/MCP usage.
Open page