GEO / AI Search Optimization

llms.txt — machine-readable site summary

A structured, plain-text file at /llms.txt that tells language models what your site does, who it serves, your pricing, your technology, and where to find key pages. Muginai generates and updates this automatically as your content and product evolve.

AI crawler allowlist in robots.txt

Most sites accidentally block AI crawlers with overly broad disallow rules. Muginai explicitly allows all 15 major AI indexers — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, and more — so your content is never invisible to AI systems.

FAQPage schema on every key page

FAQPage JSON-LD structured data signals to AI systems that your page directly answers specific questions. Muginai injects FAQPage schema on all feature, pricing, compare, and service pages with questions drawn from real search data.

HowTo schema on process content

Blog posts and guide pages covering multi-step processes get HowTo schema automatically. This format is favored by Google's AI Overview engine when synthesizing action-oriented answers.

Entity-rich organization schema

Muginai keeps your Organization, WebSite, and SoftwareApplication schema up to date with consistent naming, descriptions, and sameAs links — the entity signals that help AI systems correctly attribute quotes and citations to your brand.

Entity-dense content pipeline

Content briefs include entity plans: which named entities (people, technologies, events, places) to mention and with what frequency. Entity density and co-occurrence are key signals for AI citation selection.

of US Google searches now show an AI Overview — up from near zero in 2023

positions in AI Overviews go to pages with strong FAQ + entity + schema signals

of the traffic from AI-cited answers goes to pages that were blocked from AI crawlers