What are AEO, GEO and LLM visibility in practice
AEO (Answer Engine Optimization) is optimization for answers that AI systems generate for the user. The focus is on making your brand and service chosen as a relevant source.
GEO (Generative Engine Optimization) is a broader framework in which you prepare content and structure for different AI and search surfaces, including AI overview and generative search.
LLM visibility means that your site is technically readable, semantically clear and commercially meaningful for models that decide what to cite and recommend.
What the client gets
Delivery is concrete and measurable — every layer has a clear output you can verify on the site.
- AEO/GEO audit with a map of critical gaps by pages and entities.
- Semantic and schema layer that matches real site content.
- Clear internal linking model: support -> money -> proof -> contact.
- Content plan for commercial queries, not just informational texts.
- Control iterations and measurement through KPIs tied to lead quality.
What an AEO-ready architecture looks like
Four layers work together: from commercial pages to the signals AI systems read and cite.
- Money landing layer: service and local pages with answer-first intro and clear CTA hierarchies.
- Support layer: comparisons, definitions and BOFU/MOFU pages that strengthen thematic authority.
- Entity and schema layer: Service, FAQPage, BreadcrumbList and consistent Organization/WebSite signal.
- AI-readable layer: llms.txt and resource map that clearly leads to key pages.
The problem with most sites today
The same patterns repeat on almost every site that is invisible in AI answers.
- Content exists but has no commercial structure and does not lead to the next step.
- Schema is generic or conflicting so AI systems do not understand service context.
- Internal links are random so authority does not flow to money pages.
- Copy is too general and does not answer the real buyer query.
Our process
Four phases, one goal: from diagnosis to measurable business impact.
- Diagnosis: technical, semantic and commercial audit of the entire path.
- Architecture: definition of money/support/proof layers and priority URLs.
- Implementation: schema, copy, internal links, FAQ and conversion blocks.
- Iterations: optimization cycles based on signals from search and lead quality feedback.