Generative Engine Optimization Scorer
Score any article for citation-readiness in Google AI Overviews, ChatGPT, Perplexity, and Gemini. 7-category rubric, prioritized suggestions, no signup.
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GEO Score
How well this content is set up to be cited by Google AI Overviews, ChatGPT, Perplexity, and Gemini.
What is Generative Engine Optimization?
Generative Engine Optimization (GEO) is the practice of structuring content so that Large Language Models cite it when generating answers. Where SEO optimizes for the 10 blue links, GEO optimizes for the 4–8 sources LLMs choose to lift, summarize, and credit inside Google AI Overviews, ChatGPT answers, Perplexity citations, and Gemini responses.
The signals are different. Keyword density barely matters. What matters is whether your content opens with a clean definitional answer, ships its key claims with named sources, breaks complex topics into FAQ-shaped chunks, and uses structured data so the entity graph is unambiguous. Studies in 2026 (Tinuiti, Stackmatix) show schema-equipped pages have a 2.5× higher probability of being included in AI answer results.
This scorer runs your content through a 7-category rubric and tells you exactly which structural moves to make. It's the same engine MarqOps uses inside our blog wizard's review step — except in the full product it pairs with our schema generator and AI Overviews tracker to close the loop end-to-end.
The 7-category GEO rubric
Clean answer in the first 200 words.
'X is Y' patterns LLMs lift verbatim.
Concrete numbers, dates, named studies.
Explicit question-answer pairs.
Claims tied to identifiable sources.
Headings every ~200 words; scannable.
Brand, people, products explicitly named.
Frequently asked questions
- What is Generative Engine Optimization (GEO)?
- Generative Engine Optimization is the practice of optimizing content so that Large Language Models — Google AI Overviews, ChatGPT, Perplexity, Gemini, Claude — preferentially cite it in their generated answers. It's the natural successor to traditional SEO as an increasing share of search traffic is intercepted by AI-generated answers.
- How is GEO different from SEO?
- Traditional SEO optimizes for ranking on Google's results page (10 blue links). GEO optimizes for being one of the 4–8 sources cited inside the AI Overview or LLM answer that often replaces those blue links. The signals are different: GEO rewards direct definitional answers, FAQ structure, stat density, schema markup, and citation hooks — not keyword density.
- What does this tool actually score?
- Seven categories totalling 100 points: direct answer in first 200 words, definitional sentences ('X is Y'), stat density, FAQ structure, citation hooks (named sources/dates), chunk retrievability (heading frequency, paragraph length), and entity clarity. Each category gets a 0–max score and a 1-sentence justification, plus 3–5 prioritized improvement suggestions.
- Why does my content need a GEO Score above 60?
- Below 60, content is unlikely to be cited because LLMs can't easily extract a clean answer chunk. Between 60–80 you'll be cited inconsistently. Above 80, your content has the structural patterns LLMs reach for first. Most marketing content scores in the 40–65 range — there's enormous room to improve with simple structural edits.
- Is this free?
- Yes — score any content here for free, no signup. For continuous scoring on every blog post you publish, plus auto-rewriting, brand-voice enforcement, and integration with the AI Overviews Tracker, sign up for MarqOps.
- What about Answer Engine Optimization (AEO)?
- AEO and GEO are often used interchangeably. AEO emphasizes preparing content for direct-answer engines (Alexa, voice search, AI assistants), while GEO emphasizes citation by generative LLMs. The structural rules — direct answers, schema, FAQ, citation hooks — are nearly identical, so this scorer optimizes for both.
GEO + Schema + AI Overview tracking — in one platform
MarqOps writes blog posts that score 80+ on the GEO rubric out of the box, auto-injects schema markup on publish, and tracks whether each post earns a citation in Google AI Overviews — all on autopilot.
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