Complete
The information exists, is accurate, easy to find and sufficiently detailed.
Use this checklist to review whether your business is easy for AI systems—and the people using them—to discover, understand, assess and confidently describe.
A technically accessible website can still be difficult to understand. A beautifully written website can still lack evidence. Strong AI Visibility requires multiple foundations to work together.
Mark each statement that is clearly true today. For any item you cannot verify, identify the page, profile or evidence needed to close the gap.
The information exists, is accurate, easy to find and sufficiently detailed.
The information is missing, vague, outdated, inconsistent, inaccessible or unsupported.
Core identity information should be clear and consistent wherever the organisation appears publicly.
Visitors and machines should not need to decode slogans to understand what the organisation actually provides.
Useful pages help customers make decisions and provide clearer information for search and AI systems to interpret.
Helpful content should explain topics completely rather than exist only to target keywords.
Strong claims without supporting detail can be difficult for customers and AI systems to assess confidently.
Transparent operating information helps establish legitimacy and reduces uncertainty.
Technical foundations support discovery but do not replace useful, accurate and trustworthy content.
Machine-readable information should accurately describe content that visitors can also see.
The goal is not to create artificial mentions. It is to maintain accurate information wherever the business legitimately appears.
Public information, competitors, AI products and user behaviour all evolve. Visibility work should therefore be maintained rather than treated as a one-time task.
Do not treat the number of checked boxes as a universal AI Visibility score. Instead, use the unchecked items to identify concrete gaps. Start with business clarity, essential service information, technical access and high-impact trust evidence before producing large volumes of new content.
Fix identity, location, contact and offer inconsistencies before expanding the content footprint.
Ensure customers can quickly understand what the business does, who it serves and what each major service includes.
Add policies, process details, limitations, evidence and answers to the questions customers need before acting.
Check indexing controls, crawler access, sitemap coverage, metadata, page responses and internal links.
Publish original guides, examples and answers based on genuine customer needs rather than producing pages only for volume.
No. Recommendations remain contextual and depend on the particular AI system, user request, available information and competing options.
No. Structured data can make page information more machine readable, but it should match visible content and cannot replace strong business information or credibility.
No. A smaller collection of accurate and genuinely useful pages is generally more valuable than large volumes of repetitive, low-value content.
Review it after material business changes and periodically as services, websites, public profiles and AI discovery products evolve.
Learn how relevance, business clarity, accessible information, credibility and user context can influence whether a business is suitable for inclusion in an AI-generated answer.