Search and AI visibility
AI Search Visibility Audit
Get a usable starting picture of your business in AI search. Suede AI captures answers to agreed buyer questions, checks the company facts they contain and traces cited sources so your next changes address a documented problem.
What your team receives
- Dated baseline answer setThe agreed prompts and captured responses with enough run context to support a later comparison.
- Cited-source registerVisible citation URLs connected to the answers and claims they accompany, with accessible source notes.
- Severity-ranked repair listSpecific issues linked to proposed source or website changes, ownership and verification steps.
A defined scope, an accountable owner and a useful handover.
Choose a reproducible prompt sample
An AI visibility audit begins by defining the questions worth examining. We work from your priority services, sales conversations and available search evidence to select prompts covering discovery, comparison and purchase questions. Brand-specific questions help check factual accuracy; category questions show how the sampled answer discusses possible providers.
Each capture records the prompt, engine, date and relevant settings or context available during the run. We preserve the returned answer and visible sources alongside the observation. That record gives your team something concrete to inspect and establishes a baseline that can be repeated during later AI citation monitoring.
Separate absence from inaccuracy
Different findings call for different repairs. An answer may omit the company, mention it without a citation, cite a page while misreading the offer, or describe a founder incorrectly. We record these as separate observations and compare consequential claims with approved business facts and accessible source material.
This makes a ChatGPT brand audit more useful than a list of screenshots. Your team can distinguish a missing explanation on an owned page from an outdated directory record or a question outside the agreed offer. Ambiguous claims are flagged for review with the business owner rather than silently treated as confirmed errors.
Turn source findings into repair priorities
For each material issue, we identify the page or record that can be investigated or corrected. The repair list includes the observed answer, supporting source, proposed action, ownership and a way to check completion. Owned-page changes, publisher correction requests and questions needing additional research receive different next steps.
Priority reflects the importance of the claim to a buyer and the feasibility of addressing the source. A wrong service description can deserve action before a minor wording difference. The audit closes with a review of the findings so you understand what is evidenced, what needs investigation and which implementation scope would address the most useful gaps.
How the work is delivered
- Agree on the question set Choose the business facts, buyer decisions and engines to examine. Establish the sampling record before collecting answers.
- Capture and inspect Save dated responses, identify mentions and citations, and compare important claims with approved references.
- Review the repair list Walk through the most consequential findings, assign source-level actions and agree on how the selected repairs will be checked.
Example: an answer describes an outdated service
Illustrative example
A sampled answer says a company offers an old package. The audit compares that claim with the current service page and any cited listing, records the discrepancy and assigns separate actions for the owned page and publisher record. A later recheck can examine the same question after the approved corrections.
Questions about AI Search Visibility Audit
How many prompts are enough for an audit?
The set should cover the buying decisions and business facts you need to evaluate. We agree on that coverage before choosing the sample size. The report identifies exactly what was sampled so a narrow set of questions is never presented as a complete picture of every AI answer.
How does an audit differ from ongoing monitoring?
An audit establishes a dated baseline and prioritized repair list. Ongoing monitoring repeats an agreed question set to examine changes over time. A GEO engagement can take the audit's selected findings through source repair, website implementation and follow-up checks.
Find the answer gaps worth fixing
Share your website, core service and the questions you want examined. We’ll define an audit scope with a clear baseline and actionable output.
Technical reference: Google Search documentation.