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GEO / AEO (AI Search Visibility)

Search is shifting from a page of links to a single answer. More shoppers now ask ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Claude, Perplexity and Copilot what to buy, which brand to trust and where to buy it. In these answers there is no page two: a brand is either mentioned, cited and linked, or it is invisible.

Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) make sure AI assistants understand your brand, trust it, and recommend and link to your own store. Because these channels are still new, brands that build AI visibility now gain an advantage that is hard for competitors to catch up with. BERI runs the work on a monthly cycle.

Measure

Visibility AI tracks priority prompts across AI engines and benchmarks your brand against competitors.

Diagnose

Page scoring, off-page scoring and citation analysis show why competitors are recommended and what is missing.

Optimize

BERI fixes technical access, entity data and content, and builds presence on the sources AI engines trust.

Track and repeat

Changes in mentions, citations, share of voice and AI referral revenue are measured every month.

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AI visibility is built on measurement, then optimization.

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Our program is measured by Visibility AI, which tracks brand mentions, citations, links and recommendation position for priority prompts across the major AI engines. It compares your brand with competitors and retailers by product line, topic and engine, and shows which websites, review sites, publications and communities the engines cite, so you can see where your brand needs to be present.

Pages are scored on a 16-factor weighted rubric covering answer clarity, structure, schema, entity signals, E-E-A-T, freshness and crawlability, and your third-party footprint is scored too. We then fix AI crawler access and llms.txt, entity and product data, and answer-ready content, and repeat the measure, diagnose, optimize and re-measure cycle every month, with Visibility AI tracking the impact of every change.

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GEO and AEO questions, answered

What are GEO and AEO?

Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) are the work of making sure AI assistants understand your brand, trust it, and recommend and link to your own store. They apply to answers from ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Claude, Perplexity and Copilot.

Why does AI search visibility matter?

Search is shifting from a page of links to a single answer, and shoppers act on the answer they get. In AI answers there is no page two: a brand is either mentioned, cited and linked, or it is invisible. Brands that build AI visibility now gain an advantage that is hard for competitors to catch up with.

How does BERI's GEO and AEO program work?

It runs in four steps. Measure: Visibility AI tracks priority prompts across AI engines and benchmarks the brand against competitors. Diagnose: page scoring, off-page scoring and citation analysis show why competitors are recommended. Optimize: BERI fixes technical access, entity data and content and builds presence on trusted sources. Track and repeat: results are measured every month.

What does BERI measure for AI visibility?

We track brand mentions, citations, links and recommendation position for priority prompts across the major AI engines, and compare your share of voice with competitors and retailers by product line, topic and engine. We also analyze citation sources, score your pages and off-page footprint, research the real questions shoppers ask, and report trends with prioritized actions.

What is included in a GEO and AEO engagement?

It includes an AI visibility baseline; AI crawlability and access, with robots rules for AI crawlers, rendering checks and llms.txt; entity and knowledge graph optimization; answer-ready content; product data for AI shopping; source and community signals; and a monthly optimization cycle with Visibility AI tracking the impact of every change.

How is an AEO page score calculated?

Each page is scored on a 16-factor weighted rubric covering answer clarity, structure, schema, entity signals, E-E-A-T, freshness and crawlability. The score shows which pages AI engines can understand and quote and which need work, and new and existing content can be scored against the pages AI engines cite most, before and after publishing.