How to make your business easier to find through ChatGPT and AI search

Begin with a realistic objective

Making a business easier to find is a reasonable objective. Guaranteeing that ChatGPT or another AI service will recommend it is not. Start by separating the work you control, such as publishing accurate information and configuring access, from the selection decisions made by the search service. An open door is not an invitation that every system will accept.

OpenAI identifies OAI-SearchBot as the crawler used to surface websites in ChatGPT search features. Google says its established SEO practices remain relevant to AI Overviews and AI Mode, with no special optimisations required. Those are two useful starting points, but they are not evidence of a single universal method covering every AI product. ^[1][2]

Set a business objective before touching the website. For example, you might want suitable buyers to understand a particular service and submit a useful brief. Write down what a qualified enquiry looks like. That gives the project an outcome more meaningful than appearing in one demonstration answer during a sales presentation.

Make deliberate access decisions

Ask your developer to check robots.txt and any firewall or bot-management rules affecting the pages you want discovered. OpenAI recommends allowing OAI-SearchBot and requests from its published IP ranges for search visibility. Use the current documentation to configure those controls; do not approve a blanket removal of security protections simply because a crawler cannot get through. ^[1]

OpenAI’s search and training permissions are independent. GPTBot is associated with crawling content that may be used for training foundation models, while OAI-SearchBot serves search. Allowing the latter does not require allowing the former. Decide your policy deliberately and keep a record of the reasoning, including which content should remain private or restricted. ^[1]

For Google AI features, a page needs to be indexed and eligible to appear in Search with a snippet to be considered as a supporting link. Google recommends checking crawling and infrastructure restrictions. Ask for evidence about your important service pages rather than a general statement that the domain is online. Access and eligibility still do not guarantee selection. ^[2]

Explain what you sell in useful detail

Choose one priority service and review its page against a real buying conversation. What problem does the service address? Who is it suitable for? What is included? Which assumptions affect price or timing? Where do you operate? What information should someone prepare before contacting you? Use the answers to create a page that can stand on its own.

Google’s people-first guidance asks whether content gives a substantial, complete description and demonstrates relevant first-hand experience or expertise. It also asks whether readers can leave feeling they have learned enough to achieve their goal. These questions support a useful editorial standard without implying that a particular paragraph format triggers an AI citation. ^[3]

Use examples only where they are honest and appropriate. A clearly labelled hypothetical scenario can explain a process; it must not be disguised as a client result. If you have no publishable case study, describe your approach, responsibilities and limitations instead. Do not compensate for missing evidence with invented outcomes or unsupported superlatives.

Organise answers without manufacturing content

Give each page a clear purpose and use headings that help a person navigate it. Answer the main question early, then explain qualifications and exceptions. This is an editorial recommendation, not a claim about a secret ranking factor. The test is whether a prospective customer can understand the page without needing a sales call to decode the language.

Google’s AI guidance recommends internal links and important content in textual form. Review whether your main pages can be reached through ordinary navigation and whether essential explanations exist only inside images. Ask a developer to inspect complex rendering where necessary, rather than assuming that a visually complete page proves that the relevant crawler receives the same information. ^[2]

• Write a direct explanation of the service and intended customer.
• Describe scope, exclusions and the factors affecting cost.
• Link to genuinely relevant supporting information.
• Keep contact details and location claims accurate.
• Remove duplicate pages that have no distinct purpose in your plan.

Do not expand the site merely to produce a page for every variation of a question. Before publishing, ask what new decision the page helps someone make and who will maintain it. A small, accurate information set is a more manageable starting point than a large collection your team cannot review responsibly.

Treat structured data as a supporting task

Structured data gives explicit clues about page meaning and can enable eligible rich results in Google Search. It is not a replacement for the visible explanation. Have your developer select markup appropriate to the actual page, then check that the details match what a visitor can read. Do not add services, qualifications or locations the business cannot substantiate. ^[4]

Google explicitly says there is no special structured data needed for its AI features. Avoid buying a supposed AI schema package on the assumption that it unlocks recommendations. If markup is proposed, ask what it describes, which documented feature it supports and how changes to the underlying business information will be reflected in the implementation. ^[2]

Keep this task proportionate. If a visitor cannot tell what you do or the contact form fails, resolve those problems rather than treating markup as a substitute. A useful project plan should explain why each technical task matters and what evidence will show that it has been completed correctly.

Review progress without overclaiming

Record the changes made, the pages affected and the intended result. Use enquiries and other agreed business outcomes alongside whatever visibility evidence is available. Google includes traffic from its AI features within overall Web search reporting in Search Console, so do not present that total as a separate, precise measurement of AI-driven performance. ^[2]

You can also maintain a modest set of real buying questions and record observed answers with the date, platform and cited sources. Use those observations to investigate missing or unclear information, not to promise future inclusion. The purpose of the review is to decide what to improve next while acknowledging what the evidence cannot establish.

• Confirm search crawler access and separate training permissions.
• Check important pages for Google indexing and snippet eligibility.
• Improve one priority service page using real buyer questions.
• Validate relevant markup against visible information.
• Test the enquiry journey and define qualified outcomes.
• Review the evidence regularly without promising AI recommendations.