Discoverability
Search engines and AI crawlers need clear public pages, good titles, understandable text, internal links, sitemap, robots.txt and structured data. A vague landing page or image-only content is often misunderstood.
AI visibility + EU AI Act
Your startup must be found and understood by AI systems
People increasingly search through AI answer systems, not only classic search engines. If your website is unclear, technically hard to read or legally weak, it may be ignored or summarised incorrectly.
Comprehension
LLM systems need to understand what your company does, who it serves, which products exist and which claims are reliable. Clear FAQs, use cases, sources and descriptions help.
Trust
Legal notice, privacy, contact, authorship, freshness, sources and consistent brand descriptions are important signals. Wrong, outdated or contradictory statements can be copied into AI answers.
What the check helps founders test
An AI visibility check is useful if you want to know whether your website is technically and editorially readable for search engines, AI crawlers and answer systems. It does not replace legal advice, but it highlights typical website weaknesses.
- Clear page titles, meta descriptions and structured content
- Reachable sitemap, robots.txt and key public pages
- Machine-readable signals such as JSON-LD and optionally llms.txt
- Fast understanding of target group, product, benefit, location and contact path
- Clear legal notice, privacy, AI notes and sources
Legal questions
AI products need more than SEO
If your startup uses or offers AI, check early which obligations may apply.
EU AI Act
The EU AI Act entered into force on 1 August 2024 and applies in stages. Prohibited practices and AI literacy obligations started applying on 2 February 2025; obligations for providers of general-purpose AI models started applying on 2 August 2025; full applicability is generally set for 2 August 2026.
Privacy and data rights
If you use personal data, sensitive data, training data, scraping, tracking, CRM data or user uploads, check privacy and usage rights before launch.
Transparency and liability
Explain when AI is used, which outputs are automated, when a human checks results and where the limits are. Be extra careful in health, education, finance, HR and public-sector contexts.
Practical first steps
- Write a clear homepage: problem, solution, audience, benefit, contact
- Publish product pages, FAQ, pricing or scope in understandable language
- Check sitemap, robots.txt, structured data and internal links
- Run an AI visibility check and prioritise technical issues
- For AI features, review risk class, privacy, transparency and EU AI Act obligations
Related
AI skills and model choice are part of visibility
Startups that use AI should not only be discoverable. They also need to understand which models, data flows and providers are part of their product or workflow. The new AI learning area explains courses, local models and model catalogs.