You cannot guarantee that ChatGPT will recommend your business. You can improve the information available about your offer, check access to your public pages and observe how your business appears in a defined sample of answers. Start with facts and customer needs, then measure carefully.
Separate a mention, a citation and a visit
A mention names your business. A citation links to a source. A visit occurs when someone follows a link or reaches your site through another route. Those events are related, but they are not interchangeable. Decide which one your report measures before collecting data.
Our guide to generative engine optimization explains how this work fits alongside an existing search strategy.
1. Review search access
OpenAI distinguishes OAI-SearchBot, which supports search, from GPTBot, which relates to model training. Its publisher guidance says not to block OAI-SearchBot if you want content included in ChatGPT summaries and snippets. Review robots.txt and relevant infrastructure settings with the person responsible for your website. Search access does not guarantee inclusion or ranking.
Use the current OpenAI crawler documentation and publisher FAQ for implementation details. Make deliberate decisions about each bot rather than treating all AI traffic as a single category.
2. Make your offer easy to understand
Your principal service or product page should explain who it serves, what it does, where it is available and what its limitations are. Replace unsupported superlatives with facts a reader can check. Add relevant pricing information or explain the factors behind a quote.
For software, include integrations and product constraints. For a service business, explain scope and delivery. For a local business, keep contact and location information accurate. The aim is a clearer buying decision; no wording can force an independent system to select your company.
3. Answer buying questions on the right pages
Collect questions from sales calls and support requests. Add short, specific answers to the most relevant existing pages before creating new articles. A pricing question belongs near pricing; a compatibility question usually belongs near the product or integration.
Use content hubs when a topic needs several distinct explanations. Connect each article to a useful next step with crawlable links. Avoid dozens of near-identical pages built around tiny question variations.
4. Check information beyond your website
Review relevant business profiles, directories and public product descriptions for outdated facts. Correct information you control. Where an independent publisher makes an error, provide a factual correction request and supporting evidence. Their editorial decision remains theirs.
Seek legitimate coverage by sharing useful expertise, research or documented customer work. Do not invent reviews or imply that a paid placement guarantees a recommendation.
5. Run a repeatable observation exercise
Choose a small set of questions reflecting discovery, comparison and suitability. Record the exact prompt, date, platform settings and whether you started a fresh conversation. Save answers and any cited URLs. Keep questions that name your business separate from questions that do not.
Repeat using the same method, but expect answers to vary. Inspect where your business is mentioned and whether the description is correct. Review the sources behind mistakes before deciding what to change. A single screenshot cannot establish a reliable trend.
6. Connect observations with outcomes
Use AI traffic reporting to inspect identifiable referrals and landing pages. Track qualified enquiries separately. Some journeys will not carry a usable referral signal, so explain that limitation instead of assigning all unexplained traffic to AI.
An illustrative work queue could contain three items: correct an outdated integration statement, answer a recurring pricing question and repair a missing internal link. Verify each change, then repeat the observation exercise. This is a suggested method, not a claim of tested results.
When should you ask for help?
Consider a scoped AI visibility audit when the team needs a baseline, competitor evidence or a prioritised implementation plan. Require saved observations and clear metric definitions. Be cautious about proposals that promise a specific recommendation or a fixed visibility result.
Plan the next stage
Our guide to AI brand mentions and citations explains how to interpret the answers you collect. Explore our GEO services for support with research, content and implementation. Visit Crescendo to discuss your current visibility and priorities.