Key takeaways
- AutoGEO (ICLR 2026) shows generative engines prefer direct answers, citation-worthy sentences, and structured content.
- Different engines have different preferences — Perplexity rewards short quotable claims; Gemini rewards schema-aligned structure.
- This tool rewrites your content applying those rules and shows a before/after GEO score.
- Works on any content: blog posts, product pages, service pages, landing pages.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of structuring and rewriting web content so that AI-powered search engines — ChatGPT, Google Gemini, Claude, and Perplexity — are more likely to cite it in their generated answers. Unlike traditional SEO, GEO targets AI readability: direct answers, citation-worthy claims, and structured formats that AI models can quote and summarize.
The AutoGEO framework (Carnegie Mellon, ICLR 2026) proved that content optimized with engine-specific preference rules achieves measurably higher visibility in AI-generated responses. Paste your content below, choose your target engine, and get an AutoGEO-inspired rewrite in seconds.
How the GEO Content Optimizer works
The optimizer runs in two phases:
- Score: Your original content is scored 0–100 against AutoGEO's content preference rules for the selected engine.
- Rewrite: The AI rewrites your content applying all relevant rules — direct answer first, numbered structure, citation-worthy sentences, FAQ format, entity clarity — while preserving every factual claim.
You get a rewritten version with a higher projected GEO score, plus the list of rules applied and a changes summary you can use as a brief for your content team.
AutoGEO preference rules by engine
Based on the AutoGEO research, each generative engine has distinct content preferences:
- ChatGPT / GPT-4: Prefers comprehensive, multi-perspective coverage with concrete examples and comparison structures.
- Google Gemini: Rewards E-E-A-T signals, schema-aligned formatting, and clear entity mentions that match Knowledge Graph entries.
- Claude (Anthropic): Favors factual precision, transparent sourcing, and logical paragraph flow with clear transitions.
- Perplexity AI: Heavily citation-driven — prefers short, quotable sentences (15–25 words) and named sources in the first 50 words.
FAQ
- What is a GEO Content Optimizer?
- A GEO Content Optimizer rewrites your existing web content to be more visible in AI-generated answers from ChatGPT, Gemini, Claude, and Perplexity. It applies AutoGEO-inspired rules — direct answers first, citation-worthy claims, structured headings, and entity clarity — to improve how often generative engines cite your page.
- How does this AI content rewriter improve GEO visibility?
- Paste your content and select a target engine. The tool analyzes your content against AutoGEO preference rules (from ICLR 2026 research on what generative engines prefer), scores it, then rewrites it to maximize citability. You get a before/after GEO score, the rewritten copy, and a summary of changes.
- What is AutoGEO and how is it used here?
- AutoGEO is a Generative Engine Optimization framework from Carnegie Mellon University (accepted at ICLR 2026) that automatically extracts what content preferences generative engines have and rewrites documents accordingly. This tool implements AutoGEO's rule-based approach using your choice of target engine.
- Which AI engines does this optimizer target?
- You can optimize for ChatGPT/GPT-4, Google Gemini, Claude (Anthropic), Perplexity AI, or all engines at once. Each engine has different content preferences — Perplexity prefers short citation-worthy sentences; Gemini rewards schema-aligned structure; ChatGPT prefers comprehensive multi-perspective coverage.
- Is this GEO content optimizer free to use?
- Yes, it is free with no signup required. Paste any content (100–8,000 characters), pick a target engine, and get a GEO-optimized rewrite instantly.
Also run a Free GEO Audit on any URL, read our GEO guide for the AI era, or browse all free growth tools.