Price / value
Does AI see the client as worth considering for the money?
AI Preference
Find out which brand AI would choose.
Visibility shows whether your client appears. AI Preference shows whether AI would choose them over competitors, why they lose, and which evidence gaps your agency can fix next.
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.
40
preference prompts
8
decision categories
6
AI providers
Preference categories
Compare brands on the decisions buyers actually ask AI to make
AI Preference turns competitive recommendation risk into a structured score agencies can explain and improve.
Features / capabilities
Does AI understand what the client can do and where it is differentiated?
Innovation / future-readiness
Does the answer frame the client as credible for the next wave of buyer needs?
Ease of use / implementation
Does AI believe the client is easy to adopt, operate, or integrate?
Trust / credibility
Does public evidence support the recommendation?
Overall recommendation
When forced to choose, which brand does the provider recommend and why?
From loss to work
Preference gaps become remediation missions
A low score is useful only when the agency can act on it. VectorGap links weak categories to missing proof, source weakness, entity confusion, and page-level fixes.
Provider variance
Identify whether one provider is uniquely weak or every provider agrees the client trails competitors.
Competitor win reasons
Understand why a competitor is chosen: clearer positioning, stronger third-party proof, better sources, or stronger category pages.
Mission creation
Turn preference gaps into concrete proof, source, schema, comparison, and retest work.