What is GEO (Generative Engine Optimization) and why does it matter?

GEO (Generative Engine Optimization) is the practice of optimizing web content so AI search engines cite it. When users ask ChatGPT, Perplexity or Doubao a question, the model selects authoritative sources from the web to reference. GEO improves your odds of being that source through structured data, E-E-A-T authority signals, conversational FAQs and AI-crawler compatibility. With more than 500 million AI search users, skipping GEO means becoming invisible in the new search era.

How is GEO different from traditional SEO?

SEO optimizes for rankings on search engine result pages (Google, Bing, Baidu) using keywords, backlinks and technical fixes. GEO optimizes for citation inside AI-generated answers across engines such as ChatGPT Search, Perplexity, Claude and Gemini, using structured data (Schema.org JSON-LD), E-E-A-T signals, citation-friendly formatting and robots.txt rules for AI crawlers. In short: SEO gets you found, GEO gets you quoted. The two are complementary, not competing.

Which AI search engines does GEO-Optimizer support?

11 engines in total: five Chinese engines (Doubao by ByteDance, Tongyi Qianwen by Alibaba, Hunyuan by Tencent, ChatGLM by Zhipu AI, DeepSeek) and six global engines (Google AI Overviews, ChatGPT Search by OpenAI, Perplexity, Claude by Anthropic, Copilot by Microsoft, Gemini by Google). Each engine is scored on its own dimension set with its own optimization guidance.

How do I get my website cited by ChatGPT and Perplexity?

Five steps: (1) make sure you are indexed on Bing and Google, since ChatGPT Search leans on the Bing index while Perplexity uses its own crawler; (2) allow AI crawlers in robots.txt (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended); (3) add structured data such as FAQPage, Article and HowTo JSON-LD; (4) publish on authoritative platforms (Medium, Reddit, Quora, dev.to) that reference your site; (5) build E-E-A-T signals with author bios, cited sources and visible dates. GEO-Optimizer automates steps 2 to 5 and generates the content.

How do I use GEO-Optimizer to improve my AI search visibility?

Four commands: (1) geo-optimizer analyze returns a GEO-readiness score plus a per-engine diagnosis across all 11 engines; (2) geo-optimizer optimize uses an LLM to generate FAQs, Schema JSON-LD and rewritten content; (3) geo-optimizer export produces WeChat, Zhihu, Toutiao, Medium, Quora and Reddit drafts ready to publish; (4) geo-optimizer monitor tracks how your keyword citation rank moves over time.

My traffic dropped — could AI search be the reason?

Very likely. Users are shifting from classic search to AI answers, and if no AI engine cites your content the traffic keeps draining. Diagnose your GEO-readiness score with GEO-Optimizer, then prioritize structured data (Schema JSON-LD), add conversational FAQ content, confirm robots.txt allows AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Bytespider), and publish supporting content on high-authority platforms that link back to you.

How is the GEO score calculated?

A dual-engine model. Chinese engines are scored on five dimensions — content quality (30%), structured data (20%), citation readiness (20%), AI crawler compatibility (15%) and user experience (15%). Global engines use six dimensions — content quality (25%), citation readiness (20%), structured data (15%), AI crawler compatibility (15%), user experience (15%) and platform optimization (10%). Each engine gets a 0-100 score which is weighted into an overall result with item-by-item improvement suggestions.

How long until GEO optimization shows results?

Citation changes usually appear within 2-4 weeks. Structured data work (Schema/FAQ) takes effect fastest (1-2 weeks), platform distribution depends on each platform's indexing cycle (2-4 weeks), and building E-E-A-T authority is a longer effort (1-3 months). Use the monitor command to review citation-rank movement weekly.

Is GEO-Optimizer free? What are the license terms?

Yes, it is free and open source under AGPL-3.0: you may use, modify and distribute it for personal and open-source projects. Because AGPL also requires source disclosure for network services, closed-source commercial or SaaS use must either comply with AGPL or obtain a commercial license. The full text is in the repository's LICENSE file.

What do I need to run GEO-Optimizer?

Python 3.10+ and Playwright with Chromium. Install with git clone plus pip install -e .[dev]. LLM content generation needs an OpenAI-compatible endpoint — an Alibaba Cloud Bailian API key (which has a free tier), a Token Plan team key, or any compatible custom base URL. MySQL 8.0+ is only required for the multi-user web platform; the CLI works with no database.

Can GEO-Optimizer integrate with AI agents and MCP clients?

Yes. mcp_server/ exposes eight tools over streamable-HTTP (submit task, list tasks, status, logs, result, cancel, usage, download report) so any MCP client can drive the platform. docs/geo-skill/ ships a ClawHub Agent SKILL package that a natural-language prompt such as 'please evaluate the site www.example.com' can trigger.

Who should use GEO-Optimizer?

Three groups: (1) SEO engineers extending from classic search into AI search optimization; (2) content creators and publishers who want their articles cited by AI engines and the referral traffic that follows; (3) company website owners protecting brand visibility in the AI search era. No programming background is required — the CLI covers the whole workflow in four commands.

GEO-Optimizer — Open-Source Generative Engine Optimization Toolchain for AI Search Engines

Name: GEO-Optimizer
Author: GEO-Optimizer

AI engines covered

5+6

Dual-engine dimensions

Platform exports

100%

Free & open source (AGPL-3.0)

Commands for the full flow

Core capabilities

From diagnosis to optimization to distribution to monitoring, GEO-Optimizer covers the whole AI search optimization chain.

🔍 Evaluation across 11 engines

Doubao, Tongyi Qianwen, Hunyuan, ChatGLM, DeepSeek + Google AI Overviews, ChatGPT Search, Perplexity, Claude, Copilot, Gemini — each engine scored and advised independently

📊 Dual-engine scoring model

Five Chinese dimensions (content quality / structured data / citation readiness / AI crawler compatibility / user experience) plus six global ones (E-E-A-T / structured / citation / coverage / depth / readability)

🤖 LLM-powered content generation

Calls qwen-plus/qwen-max to generate FAQ pairs, Schema JSON-LD structured data and platform-adapted drafts automatically — nothing to write by hand

📤 One-shot export to six platforms

WeChat, Zhihu, Toutiao, Medium, Quora, Reddit — formatting and length limits adapted per platform

📈 Continuous rank monitoring

Scheduled checks of how target keywords are cited in each AI engine, with change notifications and trend analysis

👥 Multi-user web platform

Admin/user roles, evaluation quotas, audit trail, live task monitoring, PDF report export, ZIP bundle download

🔌 Open API & MCP server

RESTful API with Bearer Token auth (submit / status / results / usage) plus a streamable-HTTP MCP server with 8 tools and a ClawHub Agent SKILL package

🕷️ Index and crawler checks

One command checks your site's index status (HTTPS / robots.txt / sitemap) and its AI crawler compatibility (GPTBot / ClaudeBot / PerplexityBot)

Who needs GEO?

AI search has passed 500 million users. If AI engines cannot cite your site, you are effectively invisible in the new era.

😰 Traffic keeps sliding?

Users moved from "search and click" to "ask the AI", and classic search traffic is being rerouted. GEO-Optimizer diagnoses the gap and produces the optimization plan that wins citations back.

🏢 Your brand missing from AI answers?

When someone asks an AI to "recommend an XX product" and you are not in the answer, you lose the demand. Build E-E-A-T authority signals through GEO so AI engines recommend you.

✍️ Creators after a new traffic source?

Great content that no AI cites is wasted effort. GEO-Optimizer generates the FAQ and structured data that turn your articles into a preferred reference source.

🔧 SEO engineers moving into AI search?

Classic SEO skills need an upgrade. GEO-Optimizer provides the complete workflow — scoring, diagnosis, content generation, multi-platform distribution — in a single command.

GEO vs SEO: what is the difference?

SEO gets you found; GEO gets you quoted. They complement each other and you need both.

Aspect	Traditional SEO	GEO (Generative Engine Optimization)
Goal	Rankings on the search result page (SERP)	Citation rate inside AI-generated answers
Platforms	Google, Baidu, Bing	Doubao, ChatGPT, Perplexity, Claude and 7 more engines
Strategy	Keywords, backlinks, technical SEO	Structured data, E-E-A-T, conversational content, AI crawler compatibility
Content form	Long-form articles, keyword density	FAQ pairs, Schema JSON-LD, authoritative citations
Traffic model	Users click through to your page	AI quotes your content, brand exposure without the click
Typical tools	Ahrefs, Semrush	GEO-Optimizer (this project)

The 11 supported AI search engines

Five Chinese plus six global engines, each with its own scoring dimensions and optimization strategy.

🇨🇳 Chinese engines (5 dimensions: content quality / structured data / citation readiness / AI crawler compatibility / user experience)

Doubao (ByteDance) Tongyi Qianwen (Alibaba) Hunyuan (Tencent) ChatGLM (Zhipu AI) DeepSeek

🌍 Global engines (6 dimensions: content quality / citation readiness / structured data / AI crawler compatibility / user experience / platform optimization)

Google AI Overviews ChatGPT Search (OpenAI) Perplexity Claude (Anthropic) Copilot (Microsoft) Gemini (Google)

Quick start (3 minutes)

No programming background needed — four commands cover the whole AI search optimization flow.


# Install (Python 3.10+)

git clone https://github.com/duducat2026/geo-optimizer.git

cd geo-optimizer && pip install -e ".[dev]"

playwright install chromium


# Step 1: diagnose GEO readiness (score report for 11 engines)

geo-optimizer analyze https://your-site.com


# Step 2: generate optimized content with an LLM (FAQ / Schema / platform drafts)

geo-optimizer optimize https://your-site.com


# Step 3: export for every platform (WeChat / Zhihu / Toutiao / Medium / Quora / Reddit)

geo-optimizer export https://your-site.com


# Step 4: keep monitoring AI engine citation ranks

geo-optimizer monitor https://your-site.com


# Start the web management platform (multi-user / quotas / audit)

geo-web --port 5000

Frequently asked questions

Answers to the most common questions about GEO and about GEO-Optimizer itself.

How is this different from Ahrefs or Semrush?

Traditional SEO tools track SERP rankings and optimize through keywords, backlinks and technical fixes. GEO-Optimizer focuses on being cited by AI search engines — structured data (Schema JSON-LD), E-E-A-T authority signals, conversational FAQs and AI-crawler compatibility. In short: SEO gets you found, GEO gets you quoted. The two work together, not against each other.

What is Generative Engine Optimization and why does it matter in 2026?

GEO is the practice of optimizing content so AI search engines cite it. When users ask ChatGPT, Perplexity or Doubao, the model selects authoritative sources from the web to reference. Global AI search users passed 500 million in 2025 and grow far faster than classic search. Without GEO your content is simply absent from AI answers — invisible in the new era.

My traffic dropped — is AI search to blame?

Very likely. Users shifted from classic search to AI answers, and traffic keeps draining if no engine cites you. Diagnose your score with GEO-Optimizer, then prioritize structured data, add FAQ content, confirm robots.txt allows AI crawlers (GPTBot / ClaudeBot / PerplexityBot / Bytespider), and publish supporting content on high-authority platforms that reference your site.

How do I get Doubao or ChatGPT to recommend my site?

Four decisive steps: (1) publish inside the right ecosystem — Doubao favours the Toutiao/Douyin ecosystem while ChatGPT Search leans on the Bing index; (2) add Schema structured data so models can parse your content; (3) build E-E-A-T signals with author info, cited sources and publication dates; (4) make sure robots.txt allows the relevant crawler. GEO-Optimizer diagnoses all of it and generates the fixes.

How long before GEO changes take effect?

You usually see citation shifts within 2-4 weeks. Structured data work (Schema/FAQ) is fastest (1-2 weeks), platform distribution follows each platform's indexing cycle (2-4 weeks), and E-E-A-T authority is a 1-3 month effort. Use the monitor command to review rank movement weekly.

Is it free? What do I need to run it?

Free and open source under AGPL-3.0 — personal and open-source projects may use and redistribute it freely; closed-source commercial or SaaS use must comply with AGPL or obtain a commercial license. Python 3.10+ is enough to run it. LLM generation needs an Alibaba Cloud Bailian API key (a free tier exists), a Token Plan team key, or any OpenAI-compatible endpoint.

Can I self-host or embed it in my own agent stack?

Yes. docker compose up -d starts the web platform plus MySQL, and --profile mcp adds the MCP server. Agents can call the eight streamable-HTTP MCP tools or install the ClawHub SKILL package from docs/geo-skill/. Source: github.com/duducat2026/geo-optimizer.

Authority & references

📋 About this project

Team: GEO-Optimizer Team — focused on AI search and GEO strategy, with core members from search engine optimization and NLP/LLM engineering.

First published: 2026-07-26 | Last updated: 2026-10-12 | Version: 1.0.0

License: AGPL-3.0 (open source; network service distribution must also disclose source. Obtain a commercial license for closed-source commercial use)

Tech stack: Python 3.10+ / Flask / SQLAlchemy / Playwright / Alibaba Cloud Bailian LLM

References

Aggarwal, P., Murahari, V., Rajpurohit, T., et al. (2024). GEO: Generative Engine Optimization. arXiv:2311.09735. — The paper that defined the GEO field
Google (2024). Search Quality Evaluator Guidelines. — Official definition of the E-E-A-T framework
Schema.org (2024). Structured Data Documentation. — The JSON-LD structured data standard
OpenAI (2024). GPTBot Web Crawler Documentation. — AI crawler technical specification