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We turn research frameworks and engineering theses into production AI systems with governance, security, and high performance.
We turn research frameworks and engineering theses into production AI systems with governance, security, and high performance.
Understand how to check if your company appears in ChatGPT responses, which queries to test and how to separate mention, citation and recommendation.
Understand where SEO and GEO share fundamentals, where metrics change, and why optimizing for AI does not replace indexing, authority, and useful content.
Build a reproducible viewability test across ChatGPT, Google AI, Perplexity, and Copilot with clear prompts, repeats, competitors, and metrics.
Understand why AI engines choose competitors and how relevance, evidence, indexing, authority and consistency influence recommendations.
See which signals make a page more useful as a source for AI engines: relevance, evidence, clarity, freshness, authority, and technical access.
Understand how useful content, correct indexing, and verifiable authority work together to increase eligibility and citability in AI engines.
Understand the role of Schema.org and JSON-LD in AI visibility, what they don't guarantee, and which technical and editorial fundamentals take priority.
No: Google states that it ignores llms.txt. Understand the purpose of the file, when it can be useful and what to prioritize for AI Overviews and AI Mode.
Turn expertise, data, and decisions into original content that people and AI engines can verify, cite, and use with confidence.
See how Search Console records AI Overviews and AI Mode, the new generative AI report, and how to combine impressions, pages, and conversions.
Here's what a GEO audit should evaluate: prompts, citations, competitors, crawling, indexing, entities, content, authority, and measurement.
Use this checklist to evaluate B2B presence in AI responses: category, use cases, evidence, integrations, security, sources, and measurement.
Evaluate e-commerce visibility in AI mechanisms: catalog, products, inventory, policies, reviews, structured data, authority and measurement.
Compare brands in AI engines with the same set of prompts, repeats, and metrics for mention, citation, accuracy, sources, and share of response.
Understand how to estimate the cost of absence in AI responses without inventing attribution: demand, consideration, traffic, conversion, and competitive learning.
A public analysis of the signals that make Nubank understandable and quotable: entity, products, content, update and external sources — without an invented score.
Create AI visibility benchmarks by segment without comparing incompatible markets: prompts, brands, platforms, metrics, sample and limitations.
See the changes in 2026: integration between AI Overviews and AI Mode, new visibility reports and guidance against GEO hacks.
Learn about the technical, editorial, and entity errors that make it difficult for AI to understand your business: blocks, ambiguity, generic content, and conflicting facts.
Create a process to transform data, projects, experts, tickets, and internal decisions into original, verifiable, publish-safe content.