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AI & GEO Visibility

Search is changing. AI systems increasingly decide what gets surfaced and cited. I help make your site easy for those systems - and classic search - to understand: clear entity information, structured data, and machine-readable surfaces like llms.txt. My SaaS, SEO Perception, includes AI/LLM readiness checks, so this is active product work, not a trend slide.

How I work with you

You want to be found and quoted accurately - not buried because key facts only exist in images or marketing fluff. I translate GEO and AI-readiness into concrete site changes, and I explain why each change 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 GEO work is really about

Generative engine optimization 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 classic crawl and indexation problems still exist, we often start with technical SEO. Clean WordPress foundations help too - see WordPress & WooCommerce.

Grounded in tools I build

SEO Perception includes AI/LLM readiness checks because clients kept asking what "being ready for AI search" meant in practice. I use that same mindset on consulting work: measurable structure and extractable facts, not vague futurism.

Straight talk on a noisy topic

AI visibility attracts hype. I stay practical: schema, entities, machine-readable indexes, and page structure that both humans and models can use. You leave with changes you can verify - not a buzzword report.

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, better extractability, fewer conflicts. You do not need an AI background to approve the work.

Tell me about your project