AI visibility audit: does AI recommend your brand when buyers ask?

QueryHalo tests three current model families with six identical, neutral buying questions each. Your brand is never inserted into those questions, so every mention is an observable result rather than a prompted answer.

What you receive

• Every model answer and every recommended competitor as evidence.
• Separate AI visibility, technical readiness, and combined scores.
• A technical review of title, meta description, heading, structured data, brand mention, citable facts, robots.txt and llms.txt.
• A prioritized plan with the reason, implementation, timing, and effort for each action.

How the audit works

1. Enter the website: the free check needs only the homepage address.
2. Read the technical check: eight criteria, 100 points, no generative AI involved.
3. Start the paid audit: add offer, audience and market; after payment the 18 answers are generated and evaluated.
4. Use the report: competitor evidence, technical findings and a prioritized plan as PDF and JSON.

A transparent baseline, not a ranking promise

AI answers are probabilistic and can change. QueryHalo measures existing model knowledge at a specific time; it does not claim prompt-volume data, optional live-search coverage, or guaranteed future mentions. Use it as a documented baseline and repeat it after meaningful changes. The GEO audit guide explains what a score means and what it does not.

Built for focused outreach

Sales and agency teams can send a prefilled audit URL for one relevant company. The prospect sees a free technical finding on their own domain before deciding whether to buy the complete audit. This works best with small, relevant lists and genuinely personalized messages; the agency starter covers ten prospects.