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AI & GEO Visibility

People ask if ChatGPT can find them. Under that question is usually a site that is unclear for machines — and often for humans too. I help fix that: who you are, what you offer, structured data that matches the page, machine-readable surfaces like llms.txt, and crawler policies that do not hide the content you want quoted. I built the same checks into [SEO Perception](https://seoperception.com/), so this is work I already do in a product, not a slide about the future of search.

How I work with you

You want to be found and quoted accurately — not buried because key facts only exist in a hero image or marketing fluff. I turn that into concrete site changes and explain why each one matters, without requiring you to become an LLM researcher.

Who it's for

Brands and site owners who want to be understood and cited by AI systems as well as classic search - especially if entity clarity and structured facts are weak today.

Problems I solve

  • →Important facts hidden inside images and visual cards only
  • →No structured data or entity clarity for AI systems
  • →Crawler-policy conflicts limiting visibility
  • →Content that AI tools cannot extract or quote cleanly
  • →Inconsistent naming of the company, products, or people
  • →Uncertainty about blocking or allowing AI crawlers

What you get

  • ✓Entity and structured-data setup
  • ✓llms.txt, llms-full.txt, and Markdown alternates where useful
  • ✓AI/LLM readiness review
  • ✓Cite-friendly content structure on key pages
  • ✓Practical crawler-policy recommendations

What I actually look at

GEO is not a separate universe from good technical SEO. It rewards clarity: who you are, what you offer, consistent facts, and content machines can extract without guessing from layout. If crawl and indexation are already broken, we start with technical SEO — citing a site Google cannot index is theatre.

For the Danish write-up of how I run this review, see LLM-synlighedsanalyse. Clean WordPress foundations help too — WordPress & WooCommerce.

Same checks I ship in SEO Perception

Clients kept asking what “ready for AI search” meant in practice. So SEO Perception includes AI/LLM readiness checks. On consulting work I use the same lens: measurable structure and extractable facts — a short list of URLs and fixes, not vague futurism.

What I will not sell you

I do not promise a spot in ChatGPT answers. I stay practical: schema, entities, machine-readable indexes, and page structure both humans and models can use. You leave with changes you can verify.

How I work

  1. 1

    Audit AI readiness

    I review entity clarity, structured data, crawl policies, and whether key facts live in extractable text - using SEO Perception and manual checks.

  2. 2

    Fix entity and schema gaps

    Organization, Person, Service, and FAQ schema; consistent naming; and pages that state who you are and what you do in plain language.

  3. 3

    Add machine-readable surfaces

    llms.txt, markdown alternates, and sitemaps that help AI systems find canonical facts without guessing from layout alone.

  4. 4

    Align content for citation

    Headings, summaries, and service pages structured so AI tools can quote accurate information about your business.

Common questions

Is this the same as traditional SEO?

Related, but not identical. GEO focuses on being understood and cited by AI systems - entity clarity, machine-readable content, and consistent facts - on top of classic technical SEO.

Do I need to block AI crawlers?

Usually no, if you want visibility. I help you set sensible crawler policies without accidentally hiding the content you want cited.

What is llms.txt?

A simple index file that points AI systems to your most important pages and facts - similar in spirit to robots.txt, but aimed at LLM discovery.

Can you help with AdWords and AI visibility together?

Yes. Clear landing pages, fast load times, and entity-consistent messaging help both paid and organic discovery. I have done this for clients like Altid Vikar.

How do you keep recommendations understandable?

Each recommendation ties to a plain outcome: clearer facts, easier extraction, fewer conflicts. You do not need an AI background to approve the work.

Tell me about your project