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Visibility in AI search (GEO and AEO)

We review how a company's information is published so assistants and answer engines have better sources for interpreting its products, specialties, documentation, and expertise.

We work on content, structure, data, and technical accessibility. No optimization can guarantee that an external system will cite the company or give a particular answer.

Improve the source before optimizing for the answer.

Assistants need information that is concrete, stable, and recognizable.

Specialty questions

We gather information on the queries that matter to the company's audiences and on how different assistants answer them today.

Readable product pages

We check that specifications and data appear as text on stable pages, not only in images or scanned PDFs.

Complete answers

We identify questions the company could answer with its own approved material.

Structured data

We implement markup when it helps describe the organization, products, and documents, to complement the content.

{":":":":}

Entity consistency

We review names, brands, products, and descriptions to reduce contradictions across the company's own pages.

Tracking

We rerun an agreed sample of queries to track presence, sources, and changes as an approximate signal.

How it works

First, ask the question. Then review which source could answer it better.

See the method
  1. Sample

    We define relevant queries by product, procedure, specialty, or company.

  2. Diagnostic review

    We compare the assistants' answers with the sources the company has published.

    Gaps, hard-to-read formats, and contradictions are identified.

  3. Improvement

    We work on the pages, structure, and data the company does control.

    Medical or technical content is built on approved documentation.

  4. Tracking

    We rerun the sample using a consistent methodology and record changes.

    The system's variability is part of the report.

FAQ

What's the difference between SEO, AEO, and GEO?

SEO targets a search engine's results; AEO and GEO (answer engines and generative engines) target the answers assistants put together. They share the same foundation: clear, well-structured content.

Is it possible to guarantee that ChatGPT or Gemini will cite the company?

No. The information can be organized so it's easy to interpret, and we can measure whether the company appears.

Does all the content have to be rewritten?

Usually not. The work starts with the main product pages and common questions in the specialty; whatever is in PDFs or images becomes text.

Does blocking AI crawlers affect visibility?

If a crawler can't read the site, the assistant is less likely to use it as a source. The company decides what remains open, informed by the technical review.

How can the company tell whether it appears in AI answers?

By periodically tracking specialty questions across different assistants. It's an approximate measurement because answers change, and the reporting reflects that.

Start with the information the company can control.