OptFor.AI
Knowledge base
Practical guides to AI adoption, software delivery and preparing organizations for a new generation of technology.
The GEO manifesto: I want AI to recommend my company
The assumptions, goal and rules of a public experiment in building company visibility in AI-generated answers.
How do I get ChatGPT to recommend my company? A 30-day GEO plan
A journal of actions, tests, mistakes and findings from building brand visibility in AI systems without a ready-made formula or predetermined plan.
How to write a good article: structure, SEO and AI visibility
A practical checklist for creating articles that are clear, credible and easier to discover.
How to manually check your company’s visibility in AI
A manual method for measuring whether a company appears in AI answers, why it is recommended and which sources support the result.
Company visibility in AI vs Google SEO
A practical explanation of how Google SEO differs from a company’s presence, accurate description and recommendation in AI answers.
How OtterlyAI shows a company’s visibility in AI
How to assess a brand visibility report without confusing presence in a measured sample with reach across all ChatGPT users.
Tools for measuring company visibility in AI
A short guide to tools for audits, monitoring, competitor research and measuring traffic from AI-generated answers.
How to prepare practical AI training for a company
A short training plan built around real team tasks, output testing and safe handling of company data.
AI model temperature without magic ranges
A practical explanation of temperature, its limits and a simple way to test settings on your own tasks.
What AI-native development actually means
A definition of AI-native development, three maturity levels and concrete properties of a repository designed for work by AI agents.
Is this IT project ready for AI agents?
Assess the repository, CI loop, documentation and team practices to define a safe scope for the first changes made with an AI agent.
AI strategy and tool selection for the team
Classes of AI tools, selection criteria, data security rules and the budget of a transformation in a software team.