Recommendation measurement for the AI buying journey

See how AI systems discover and recommend your brand.

Measure whether your company is mentioned, shortlisted, recommended, selected as the top choice and cited across a controlled set of buyer-intent prompts — with traceable evidence behind the report.

Request a Beta Audit View the methodology

Mention

Does your brand appear in the answer?

Shortlist

Does it enter the consideration set?

Recommend

Is it actively recommended?

Top choice

Is it selected ahead of alternatives?

From anecdote to measurable evidence

A single ChatGPT query is not a measurement system. The Public Preview uses a controlled prompt universe, structured observations and hash-bound artifacts so each result can be traced back to its measurement run.

How the preview works

Define the buyer-intent universe.
Prompts cover discovery, comparison, recommendation, requirements, problem solving and trust.

Measure AI responses.
Record mentions, shortlist inclusion, recommendation, position and citations.

Compare competitors.
Identify who is appearing and being selected instead.

Produce an auditable report.
Evidence bindings preserve traceability from the report back to the observed run.

Built as a Public Preview

Validation boundary: Public Preview outputs are exploratory. Independent holdout validation is still pending. We do not describe this release as independently validated, generalization validated, Readiness validated, or production-ready client evidence.

Request a Beta Audit

We are opening a small Public Preview cohort for companies that want to understand how AI systems discover, compare and recommend their brand.

Public Preview: contact hello@relevexa.com to request a beta audit. Outputs remain exploratory while independent holdout validation is pending.