Generative Engine Optimization measures how likely a page is to be cited by a large language model answer. ALLINONE scores every page on GEO pillars: factual density, answer structure, schema coverage, freshness and source authority.
Google answer boxes, Perplexity, ChatGPT web search, all favor factual and well-structured content. GEO scoring quantifies that.
Seed a site with target questions and ALLINONE simulates how an LLM would rank your page vs. the top 10.
Add missing FAQ schema, restructure a weak intro, cite a primary source. The suggestions are surgical, not generic.
Generative Engine Optimization is the practice of structuring a web page so that large language model answer engines - ChatGPT with web search, Perplexity, Google AI Overviews, Bing Copilot, Claude - are likely to cite it. GEO measures factual density, answer structure, schema.org coverage, freshness and source authority, the signals those models rank on.
Traditional SEO ranks you in a list of ten blue links. GEO ranks you inside a single synthesized answer. A strong GEO page is structured as a Q/A, cites primary sources, uses FAQ and HowTo schema, and keeps factual statements per paragraph high. ALLINONE scores both and gives you per page rewrites that lift either metric.
Add FAQPage and HowTo JSON-LD, include a clean TL;DR at the top, break claims into citable sentences with sources, keep freshness high (updated dates visible), and expose the content to AI crawlers via robots.txt and an llms.txt file. ALLINONE audits for each of these signals.
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