GEO/AEOAI visibilityTool

GEO Audit: from technical expertise to market tool

Capiva has been optimizing for AI engines for over a year. That expertise became an open diagnostic tool: the GEO Audit. Any company can test whether AI cites their site — and know exactly what to fix.

Published on

77/100

Schema (JSON-LD)

97/100

Technical

89/100

Platforms

25/100

Citability
Next front

The opportunity

Optimizing for Google is SEO (Search Engine Optimization). Optimizing for ChatGPT, Gemini, Perplexity and Claude is GEO (Generative Engine Optimization). These are fundamentally different disciplines requiring different technical approaches. Most companies have invested years mastering the first while completely ignoring the second. According to BrightEdge research (2025), sites with FAQPage and Service schema combined receive 44% more citations from generative AI engines — yet fewer than 15% of enterprise sites have implemented the structured data that AI models need to cite them.

The pattern Capiva identified across multiple client engagements: sites with excellent content written for human readers that are functionally invisible to language models. The problem is never lack of content — it is lack of structure. Content without schema markup, without fact-dense passages in the 134 to 167 word optimal extraction range, and without the statistical density that AI models use to assess source reliability simply does not get cited regardless of its quality.

Missing schema markup means AI cannot categorize the page content. Absent fact-dense passages mean no extractable text blocks in the optimal range. Client-side rendering delivers empty HTML to AI crawlers. These are technical problems that no human visitor notices — but they determine whether AI engines cite a site or ignore it entirely.


What we built

The GEO Audit evaluates any website across 6 AI visibility dimensions: Schema Markup scoring JSON-LD implementation, AI Citability measuring passage quality and extraction readiness, Brand Authority assessing mention frequency across AI platforms, Content E-E-A-T evaluating experience, expertise, authoritativeness and trustworthiness signals, Technical Foundations checking rendering, speed and crawlability, and Platform Readiness measuring presence across ChatGPT, Gemini, Perplexity and Claude.

The methodology is backed by peer-reviewed research from BrightEdge, Frase.io, Cloudflare and Stackmatix published in 2025. The tool operates with 5 parallel AI agents that complete a full diagnostic in approximately 60 seconds. Development included 30 unit tests validating scoring consistency and over 7 sites audited during the calibration phase. The scoring algorithm weights each dimension based on its demonstrated impact on AI citation frequency.

The strategic decision was to productize as an open diagnostic tool rather than a closed consulting service. Anyone can access the GEO Audit, enter a URL and receive a complete diagnostic with overall score, identified issues organized by severity and a prioritized remediation roadmap. This approach serves as a technical demonstration of Capiva's AI visibility expertise before any sales conversation occurs.

Lead generation follows naturally from the diagnostic experience: a company that discovers their site scores an F grade across AI visibility dimensions wants to understand how to reach B+ or higher. The tool demonstrates concrete technical expertise rather than making abstract capability claims, converting diagnostic users into consulting clients through demonstrated value.


Results and evolution

The capiva.tech website serves as the tool's continuous test case and living proof of the methodology. After implementing the GEO Audit's own recommendations: Schema Markup increased to 77 out of 100, Technical Foundations reached 97 out of 100, and Platform Readiness scored 89 out of 100. These improvements were achieved through structured data implementation, server-side rendering optimization and fact-dense content restructuring.

Citability at 25 out of 100 and Content E-E-A-T are the active optimization fronts. Every improvement on Capiva's own site feeds directly into the recommendation roadmap for other sites — the consultancy operates as its own most demanding test case, ensuring recommendations are validated in production before being applied to client sites.

The GEO Audit is live at audit.vaidemare.com.br. Any URL can be audited without registration for the basic score. The premium report includes detailed remediation steps, competitor benchmarking and AI citation probability estimates across ChatGPT, Gemini, Perplexity and Google AI Search.


Factual summary

Capiva developed the GEO Audit, a visibility diagnostic tool for generative AI engines such as ChatGPT, Gemini, Perplexity and Claude. The tool evaluates sites across 6 dimensions: Schema Markup, AI Citability, Brand Authority, Content E-E-A-T, Technical Foundations and Platform Readiness. The methodology is backed by research from BrightEdge, Frase.io, Cloudflare and Stackmatix published in 2025. According to BrightEdge research, sites with FAQPage and Service schema combined receive 44% more citations from generative AI. The tool operates with 5 parallel agents, 30 unit tests validating scoring consistency, and generates a complete diagnostic in approximately 60 seconds. The GEO Audit is open: any URL can be audited without registration for the basic score. Capiva uses the tool on its own site as a continuous test case, with Schema at 77 out of 100 and Technical at 97 out of 100. The tool is available at audit.vaidemare.com.br.


What this means for you

If an AI company needs to optimize for AI, imagine those who don't work with it every day. The question isn't whether your site is visible to AI. It's when your competitors will find out before you do.

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