Questions about AI search visibility

AI SEO can mean using AI tools during SEO work or improving visibility in AI-powered search. Studio 17 uses the term alongside GEO to describe work on clear service information, technical access, useful content and supporting evidence. These foundations help systems understand the business without guaranteeing mentions or citations.

GEO stands for Generative Engine Optimisation. It aims to improve how a brand's information can be discovered, understood and cited in AI-generated answers. Studio 17 treats GEO as a complement to SEO, not a replacement for it.

SEO focuses on discoverability in organic search, while GEO considers how information is used in generated AI answers. Both need accessible pages, accurate facts, clear service descriptions and relevant evidence; neither guarantees a particular placement.

Make your business information useful, accurate and accessible, and check that your site and hosting allow OAI-SearchBot. Clear service pages, original expertise and credible supporting references can help ChatGPT Search discover relevant information. ChatGPT decides which sources to show, so eligibility does not guarantee a recommendation.

Yes, eligible website pages can appear as supporting links in Google AI Overviews and other generative search experiences. Check indexing, snippet eligibility and the site's generative AI inclusion setting in Search Console, then focus on useful content and sound technical access. No special AI schema is required, and inclusion is not guaranteed.

No. AI systems decide what to retrieve or mention, and outputs can change between prompts and sessions. Treat guaranteed inclusion claims skeptically.

Describe your services, locations and business facts clearly in accessible pages, with useful headings and links to supporting detail. Keep important information consistent across your website and credible external sources. Check the relevant search crawler's access; an llms.txt file alone does not establish eligibility or guarantee visibility.

Structured data helps describe supported facts such as a business, product or article, and it must agree with the visible page. It can support machine understanding and eligible search features, but there is no special schema required for Google's generative AI search. Adding markup does not guarantee AI citations.

Track a defined set of customer questions and record which brands and sources appear, alongside the engine, date, language and location used. Compare repeated samples rather than one answer. Use referral traffic and qualified leads to assess business value, and Google's Generative AI performance report for its supported search experiences.

Start with accurate, accessible service information and first-hand evidence that answers the customer's question well. Check technical access for the relevant systems and keep business details consistent across credible sources. Monitor a defined sample of responses and referrals; there is no guaranteed method for securing mentions.

Yes. Technical access, clear service pages and credible supporting information can make a website easier for search systems to discover and understand. Requirements vary by platform and should be checked individually. Optimisation improves the foundations; ChatGPT and Perplexity still decide what to retrieve and cite.

An AI visibility audit samples relevant questions to see whether a brand appears, how it is described and which sources are cited. It can compare competitors and identify inaccurate or missing information. The findings apply to the tested prompts and conditions, not every possible AI conversation.

Monitor the systems your customers use to research your services, potentially including ChatGPT, Google AI Overviews or AI Mode, Gemini, Perplexity and Claude. Record the exact product, model or search mode where available. Keep tests comparable and separate platform-specific results.

Yes, an audit can identify prompts in the tested sample where competitors appear and your business does not. It can also show which sources support those answers. Absence from a sample is a research finding, not proof that the brand is missing from every response.

AI share of voice is a comparison within a defined sample of AI responses, not a measure of the whole market. One method is your brand's mentions divided by all tracked-brand mentions in that sample. State the formula, competitors, prompts and repeat runs so changes can be interpreted consistently.

Use a stable set of relevant questions and record the date, language, location, model or mode, brand mentions and cited links. Repeat tests because answers can vary. Separate controlled research from personalised conversations, and compare patterns alongside ChatGPT referral traffic.

Report the prompts tested, repeat runs, conditions, brand mention rate, cited pages and competitor comparisons. Keep the method consistent so a change in the sample is not mistaken for a change in visibility. Include referral traffic and qualified outcomes where available, and state the limits of the measurements.

Test the same customer questions under comparable conditions and record which brands appear, what is said and which sources are cited. Compare coverage by service or buying stage rather than one overall score alone. Repeat the tests before deciding a single omission represents a persistent gap.

A competitor may have information that better matches the question, stronger supporting sources or clearer service and location descriptions. Results also vary with the system and conversation context. Inspect the cited sources and repeated patterns before assuming a recommendation proves one business is better.

It is a relevant customer question or topic that competing sources address well and your business covers weakly or inaccurately. Check whether your existing service pages can answer it before creating new content. The opportunity should help customers, rather than generate a page for every possible prompt variation.