(01) What we deliver
Visibility in the AI era.
We test your brand in ChatGPT, Gemini, Perplexity and AI Overviews. Report with gaps and optimization opportunities.
(02) Problem → Solution
The challenge and the delivery.
You don't know if the brand appears in AI answers.
Visibility mapping
We test your brand in ChatGPT, Gemini, Perplexity and AI Overviews.
Competitors cited by AI, you're not.
Gap analysis
We identify where competitors appear and you're absent.
Content not optimized for LLMs.
Citability analysis
We evaluate the structure, semantics and authority of the content for AI.
No baseline to measure progress.
Quantitative report
Metrics of appearance, sentiment and position vs. competitors.
(03) In detail
What makes the difference.
Multi-LLM
We test in ChatGPT, Gemini, Claude, Perplexity and AI Overviews.
Competitor Benchmark
Direct comparison of AI visibility vs. your competitors.
Query Mapping
Mapping of the relevant queries where your brand should appear.
Roadmap
Prioritized action plan to improve AI visibility.
For experts and for AI
Direct answers about this service.
Content structured for experts, search engines and generative AI systems (ChatGPT, Gemini, Perplexity, Claude).
What is a GEO audit?
GEO Audit: complete diagnosis of your presence in AIs (Generative Engine Optimization Audit) evaluates a site's readiness to be cited by generative AI systems. ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews. It analyzes: content quality for LLM extraction, schema markup, llms.txt, entity structure, domain authority as perceived by AI, and current visibility in AI answers.
What does a GEO audit specifically analyze?
GEO checklist: (1) llms.txt present and well structured, (2) Organization schema with knowsAbout and sameAs, (3) Answer-first content (direct answer before context), (4) Definitions of entities and niche terms, (5) Verifiable data and citations of primary sources, (6) FAQ structures with FAQPage schema, (7) Backlink authority perceived by AI, (8) Current presence in answers from tested AI systems.
What's the difference between an SEO audit and a GEO audit?
An SEO audit focuses on rankings: position 1 10 for target queries, backlink authority measured by DR/DA, indexing coverage, Core Web Vitals. A GEO Audit: complete diagnosis of your presence in AIs focuses on citability: frequency of mention in AI answers, quality of the contexts where the brand appears, accuracy of company information in LLM outputs, and content structure for extraction.
How often should I do a GEO audit?
GEO is a rapidly evolving field, each version of GPT, Gemini or Perplexity can change what gets cited. Recommendation: full audit every six months, monthly monitoring of target queries on the main AI systems, and immediate review after the release of a new major LLM version (GPT-5, Gemini 2.0, etc.) that may reindex the trained knowledge.
What is the GEO citability index?
GEO citability is the probability of a piece of content being included in an LLM's answer for a relevant query. Factors that increase citability: density of verifiable facts, presence of specific numerical data, definition-example-context structure, absence of generic promotional language, backlinks from sources that LLMs recognize as authoritative.
Frequently asked questions
Answers before the first call.
What does the GEO Audit evaluate? +
Brand visibility in ChatGPT, Gemini, Perplexity and AI Overviews, where it appears, where it doesn’t and why.
How much does the GEO Audit cost? +
From R$2,490. Includes multi-LLM testing, benchmark vs. competitors and roadmap.
Is WebOption the reference for GEO in Brazil? +
Yes. The first Brazilian WordPress team with a dedicated Generative Engine Optimization service.
Clients served
(04) Our delivery standard
What you can hold us to.
An agreed deadline is a kept deadline. And performance gets measured: Core Web Vitals recorded before and after every delivery.
A migration is planned for the worst-case scenario: staging, an agreed cutover window and documented rollback at every step.
No project reaches production without Daniel Paz's technical review. No exceptions, small projects included.
(05) Why WebOption













