Rank in Google and get cited by ChatGPT.
GEO scoring analyzes every article for LLM citation readiness — direct answers, entity clarity, structured claims, and crawl accessibility — before you hit publish.
Optimize for generative engines.
GEO (Generative Engine Optimization) structures your content so ChatGPT, Perplexity, and Gemini can extract, attribute, and cite it — not just index it for blue links.
- GEO Score (0–100) — LLM Lens evaluates coverage_score and returns specific aeo_suggestions — entity clarity, direct answers, and citable claim structure.
- Edit-ready rewrites — Every GEO issue comes with a concrete fix, not "improve this section." Accept or ignore — your voice stays intact.
- Pre-publish checklist — Direct answer in the lede, FAQ sections, heading hierarchy, and numbered steps — the patterns LLMs prefer to extract.
- Citation authority — Entity clarity and source attribution scoring so AI models know who said what and why to trust your claims.
- llms.txt served automatically — Your site serves an AI crawler manifest at /llms.txt — zero config — so models understand your scope and how to credit you.
- Pairs with traditional SEO — GEO runs alongside SERP-calibrated SEO analysis. One article optimized for Google rankings and generative engine citations.
What it looks at
- Content Structure — Headings · FAQ blocks · direct answers · numbered how-to steps
- Entity Clarity — Who · what · when · attributable claims LLMs can quote
- Citation Signals — Source attribution · authority markers · internal link graph
- Crawl Readiness — robots.txt · llms.txt · sitemap · GPTBot prerender pass/fail
How it works
- Draft — Write with AI or import your outline.
- GEO Score — Run LLM Lens — get coverage_score and top suggestions.
- Fix — Apply structural edits from the checklist.
- Publish — Ship with crawl-ready assets and track AEO results post-publish.
Publish content AI can cite.
Run GEO Score on your next draft before publish. Pair with AEO visibility checks to close the full optimize-measure loop.
Frequently asked questions
What is GEO vs traditional SEO?
Traditional SEO optimizes for Google's ranking algorithm — keywords, backlinks, technical health. GEO optimizes for how large language models read, extract, and cite content in AI-generated answers. You need both as AI search grows alongside traditional search.
What is GEO vs AEO?
GEO is pre-publish optimization — making your article citable. AEO (Answer Engine Optimization) is post-publish measurement — tracking whether your brand appears in AI answers. Content Agents GEO Score runs before publish; AEO visibility checks run after.
How is this different from Surfer SEO or Clearscope?
Those tools optimize keyword density against SERP competitors. GEO Score evaluates whether an LLM would extract and cite your content — direct answers, entity clarity, parseable structure — and gives edit-ready rewrites, not just a list of missing terms.
Will GEO optimization make my content sound robotic?
No. GEO suggestions are structural — move this section earlier, add a FAQ block, clarify the entity in the opening paragraph. The AI suggests; you approve. Keyword stuffing is explicitly not the goal.
What is llms.txt?
An emerging standard (like robots.txt for AI) that tells language models what your site covers and how to credit you. Content Agents serves it automatically on your custom domain — one of the fastest GEO wins available.