Find out whether AI recommends your brand — or your competitors.
AISeenCheck audits whether ChatGPT, Google AI experiences, Perplexity-style answer engines and other AI discovery systems mention, cite, compare or recommend your brand when buyers ask decision-ready questions.
The audit is based on AISeenCheck’s own AI visibility and public website signal framework. It reviews prompts, competitors, citations, metadata, structured data, llms.txt readiness, crawler guidance, heading clarity, proof signals and brand/entity consistency. External SEO tools such as Semrush may be used only as optional supporting context.
Why AI visibility matters now
AI answer engines are becoming a new discovery layer between your brand and your buyers. Instead of showing only a list of links, they can summarize categories, compare providers, recommend tools and explain why one company may be a better fit than another.
That means your website, third-party mentions, comparison pages, reviews, FAQs, brand descriptions and proof points all need to be easy for AI systems to understand, verify and cite. The audit does not guarantee AI recommendations; it identifies public signal gaps and practical improvements.
What the audit checks
- Whether AI answer engines mention your brand for high-intent buyer prompts.
- Which competitors appear more often, with stronger positioning or better citations.
- Whether AI systems link to your website, third-party profiles, reviews, comparisons or competitor pages.
- Whether your brand is described accurately, vaguely or not at all.
- Whether your public website signals include clear metadata, canonical consistency, schema, entity clarity, llms.txt readiness and AI crawler guidance.
- Where your content lacks proof, clarity, structure or sourceable explanations.
- Which pages should be created or improved to support Generative Engine Optimization and AI search visibility.
What you receive
Visibility snapshot
A clear view of where your brand appears, where it is missing and how competitors are described across buyer-intent prompts.
Prompt map
A structured list of commercial, comparison, problem-aware and category-level prompts your buyers may ask AI systems.
Content gap plan
Recommended pages, FAQs, comparison content, proof points and internal links that make your brand easier for AI systems to understand and cite.
Priority roadmap
A practical action plan that connects AI visibility work with SEO, technical cleanup, content strategy and brand authority.
How the audit works
- Define the market. We collect your website, target country or language, main offers, competitors and buyer questions.
- Build the prompt set. We group prompts by commercial intent, comparison intent, category discovery and problem-aware research.
- Check AI visibility. We record whether your brand is mentioned, recommended, linked, ignored or described inaccurately.
- Review website signals. We check public metadata, schema, entity clarity, headings, proof, llms.txt readiness, robots.txt and crawl accessibility.
- Create the roadmap. We turn findings into page recommendations, FAQ improvements, evidence requirements, internal links and technical priorities.
Frequently asked questions
What is an AI visibility audit?
An AI visibility audit checks whether AI answer engines mention, cite, compare and recommend your brand when buyers ask questions related to your category, product, service or problem area.
Is this the same as SEO?
No. SEO is still important, but AI visibility asks a different question: whether answer engines can understand your brand well enough to include it inside generated responses.
Can Semrush be used as supporting context?
Yes, but it is optional. AISeenCheck uses its own AI visibility and search readiness audit framework. Traditional SEO tools such as Semrush may be used as supporting context for keyword, competitor or technical SEO research, but the AISeenCheck audit is based on our own public website signal checks.
Can the audit guarantee AI recommendations?
No audit can guarantee how every AI system will respond. The goal is to find visibility gaps, improve the signals AI systems can read and build content that is easier to understand, verify and cite.
Related AI visibility services
- AI Search Readiness Audit — check whether your website has content, structure, schema, entity clarity and trust signals needed for AI search visibility.
- LLM Website Audit — review how large language models may interpret your brand, services, entities and content.
- Schema and Entity Optimization — clarify organization, service, product, author, breadcrumb and FAQ signals.
- AISeenCheck Proof and Case Studies — see public proof results and point-in-time audit examples.
Ready to see where AI recommends your competitors instead of you?
Send your website, target market, top competitors and the prompts your buyers might ask. AISeenCheck will turn that into a practical AI visibility audit and GEO roadmap.