This is the work in progress: start with brand facts and user questions, move through content and publishing, and return to continuous verification in AI answers.
One platform supports ongoing operations; one tool provides a fast diagnostic.
Break GEO into falsifiable improvement hypotheses — each bound to a project, a monitored question, an AI platform, and a verification criterion.
Visit productScans a website and assesses GEO readiness across content citability, structured data, content depth, brand authority signals, and technical accessibility.
Visit productGEO is not a one-off content project. It is ongoing work from question to answer, answer to action, and back to verification.
How a need became a product, and how questions, evidence, content, publishing, and verification connect into a GEO workflow.
How a browser extension can use an operator's existing login to assist publishing while verifying the account, state, public URL, and uncertain outcomes.
How a GEO article moves from a user question and brand evidence through briefing, review, publishing, and retesting into an ongoing workflow.
How a GEO knowledge base turns brand files into traceable evidence while protecting retrieval, disclosure, and verification boundaries.
Why GEO should not begin with article generation, and how a question library connects monitoring, content, publishing, and retesting.
What "be seen by AI" means, and how GEO distinguishes accuracy, relevance, sources, and user choice.
Turning GEO from a fuzzy idea into a first version product definition with clear boundaries.
The brand understanding and feedback problem I want to solve beyond the SEO versus GEO debate.
Why I started building GEO, and why being seen is only the first step toward being understood correctly.
Start with a user question, brand facts, and primary evidence to create a GEO experiment you can review.