# Be clear. Be useful. Be easier to find. AI SEO & search visibility Improve how buyers find your business in AI-assisted search through useful service content, technical SEO and measurable discovery. ## From a customer question to a useful page Illustrative workflow. - Question: Can this team integrate our business systems? - Evidence: Scope, implementation detail and credible sources - Outcome: An informed visitor with a relevant enquiry ## Make your expertise easier to find and verify AI SEO is work on how your business appears in AI-assisted search and answer experiences. It combines sound technical SEO with clear, useful information about what you do and the evidence behind it. ### Answer the questions a buyer actually has Build pages around the decisions customers make: whether a service fits, what implementation involves, what affects cost and what the business needs to prepare. Use original explanations, named expertise where available and verifiable examples. A service page should help a reader assess the work even if they never contact you. For a business, describe genuine service coverage, relevant operating constraints and accurate contact details. Keep the company name and service descriptions consistent across the website and legitimate business listings. Avoid invented offices, customer stories or large sets of near-identical suburb pages. ### Give search systems a clear source page Check crawl access, indexability, canonical URLs, internal links and mobile performance. Important information should be available as readable page content. Structured data must describe what visitors can actually see. It is not a place to add unsupported claims or hidden answers. Google describes optimisation for generative search as SEO and does not promise inclusion. Review the current publisher controls for each search provider. A crawler permission does not guarantee a mention, and permission for search retrieval should not be confused with permission for model training. There is no special schema or file that guarantees an AI recommendation. ### Measure discovery through to a useful enquiry Record an initial set of relevant buyer questions and the pages that should answer them. Track available search impressions, visits, referrals and qualified enquiries using agreed measurement tools. Review sample AI answers with the query, date, source links and location recorded so observations can be compared. Separate an observed mention from a commercial result. AI answers vary, and some referrals are not identifiable. Use the evidence to improve a page, resolve missing information or correct an inaccurate business description. Do not promise a fixed position, a guaranteed citation or a percentage increase without a defensible baseline. For Cobnex, these principles mean distinct service pages, visible source references, consistent business information and direct links to the relevant engineering work. Analytics and publisher accounts would need to be connected separately before reporting actual acquisition results. ### References - [Google guidance for generative AI search](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) - [Google AI features and website eligibility](https://developers.google.com/search/docs/appearance/ai-features) ## Useful answers. Discoverable sources. ### Content that answers a buying question Explain service fit, delivery steps and constraints using specific, verifiable information. ### Technical discoverability Review crawl access, indexing, canonical pages, internal links and structured data that matches visible content. ### Evidence of useful discovery Establish a baseline and connect observed search visibility with relevant visits and qualified enquiries. ## What your team receives Included scope agreed before delivery. - Discovery audit: Indexability, page structure, crawl controls, canonical links and accurate business details. - Content improvement plan: Buyer questions mapped to distinct pages with evidence, ownership and review dates. - Measurement baseline: Agreed queries, available referral data and qualified enquiry measures with attribution limits documented. ## Earn attention with a page worth reading ### More pages with the same claims Rewording one service across dozens of locations creates little new value for a buyer. ### A distinct answer with evidence Explain real constraints and delivery choices on maintained pages that are easy to find and navigate. ## What needs attention in your system? Select the areas you want to discuss. The HTML page can download your selections. - [ ] Content that answers a buying question: Explain service fit, delivery steps and constraints using specific, verifiable information. - [ ] Technical discoverability: Review crawl access, indexing, canonical pages, internal links and structured data that matches visible content. - [ ] Evidence of useful discovery: Establish a baseline and connect observed search visibility with relevant visits and qualified enquiries. ## Can you guarantee an AI recommendation? No. Search providers decide which sources to retrieve and cite. We improve content, technical eligibility and measurement, then report observed results without promising rankings, citations or fabricated traffic gains.