Prompt portfolio
We define the questions buyers ask when they want recommendations, alternatives, comparisons and providers.
Methodology
How we improve visibility in AI answers.
Answer engine optimization is not a trick. It is a managed system for making a company more visible, verifiable, cited and recommendable across AI engines.
Baseline measurement
We run repeated tests across AI engines and record mentions, recommendations, citations, competitors and source influence.
Entity and technical access
We make the business easier to understand and crawl through structured data, canonical facts, clear pages and bot access.
Citable content and sources
We create assets worth citing and build legitimate presence in the external sources AI engines already trust.
Continuous iteration
We measure again, compare against competitors and prioritize the next interventions by impact.
Measure
We test real prompts and create a baseline for mentions, recommendations, citations, competitors and source influence.
Intervene
We improve content, entity clarity, technical access, structured data, internal architecture and trusted external presence.
Learn
We repeat the tests because AI answers are variable. The service improves through evidence, not one-off screenshots.