When AI skips your product in a recommendation, is it a real gap or a positioning problem? Egaki shows product teams how to tell the difference.

OpenAI and Perplexity have both shipped ads inside AI answers. Egaki explains why paid and earned AI discovery now need to be managed as one system.

Chinese AI assistants reach nearly 500 million monthly users on different models and data. Egaki explains why Western AI visibility doesn't carry over.

AI citation needs three layers: technical accessibility, semantic clarity, and evidentiary value. Egaki breaks down what makes content worth citing.

Mentions and citation share only tell half the story. Egaki explains why AI visibility must connect to engagement, journeys, and revenue to matter.

AI recommendations depend on persona, intent, and context, not just keywords. Egaki explains why context-aware visibility replaces the single visibility score.

Egaki.ai shows how ChatGPT, Perplexity, and Claude recommend your brand to each customer persona, why results differ, and what content to build next.

Egaki.ai measures how ChatGPT, Perplexity, and Claude recommend your brand and turns every gap into a prioritized action. We lead the GEO category.

Egaki.ai tracks share of voice, brand rankings, competitor performance, brand portrayal, and citations across ChatGPT, Perplexity, and Claude in one platform.

A generative-engine-optimized breakdown of what actually happens inside modern AI systems after a prompt is submitted, including prompt fan-out, model dispatching, retrieval eli...