What is GEO (Generative Engine Optimization)?

GEO is an optimization strategy for AI search engines. When users search through ChatGPT, Gemini, or Perplexity, these engines pull content from the web to answer questions. GEO makes your website more likely to be cited and recommended by AI.

How is GEO different from traditional SEO?

Traditional SEO optimizes for Google search rankings. GEO optimizes for whether AI search engines (ChatGPT, Gemini, Perplexity) will cite and recommend your website. They're complementary — GEO focuses more on structured data, content citability, and authority signals.

The GEO score and quick improvement tips are completely free, no sign-in required. hogiah runs on a monthly subscription (Starter NT$1,080 / Growth NT$3,280 / Pro NT$12,800) that includes continuous AI citation testing, detailed 6-dimension analysis, fix suggestions, and keyword recommendations.

What is AEO (Answer Engine Optimization)?

AEO (Answer Engine Optimization) is the practice of optimizing your content to appear as direct answers in AI-powered search engines and answer engines. While GEO covers the broader strategy of visibility across generative AI platforms, AEO specifically targets how well your content serves as a definitive answer when users ask questions through ChatGPT, Perplexity, Google AI Overview, and similar tools. AEO matters because AI engines increasingly provide direct answers instead of links — if your content isn't structured as a clear, authoritative answer, it won't be selected. Key AEO tactics include FAQ schema markup, concise answer-first formatting, entity optimization, and building topical authority.

How do I check if my website appears in ChatGPT search results?

Manually checking your visibility in ChatGPT is unreliable because AI responses vary by session, user context, and model version. There's no fixed ranking page you can check like Google search results. hogiah solves this by running automated, systematic queries across ChatGPT, Perplexity, Gemini, and Google AI Overview to track whether your brand or website is being cited. The platform monitors your visibility over time, detects changes in citation patterns, and provides actionable reports so you know exactly where you stand across all major AI search engines.

What is the difference between GEO and AEO?

GEO (Generative Engine Optimization) is the broad discipline of optimizing content for all generative AI platforms — it encompasses technical optimization, content strategy, and visibility tracking across AI search engines. AEO (Answer Engine Optimization) is a subset focused specifically on making your content the preferred answer when users ask direct questions. Think of it this way: GEO ensures your brand is visible and cited across AI platforms, while AEO ensures your specific content is selected as the authoritative answer to relevant queries. Both are essential — GEO builds your overall AI presence, and AEO captures high-intent question-based traffic.

How can I improve my website's visibility in AI search engines?

Improving AI search visibility requires a multi-faceted approach. First, implement structured data (JSON-LD schema markup) so AI engines can parse your content programmatically. Second, add comprehensive FAQ schemas that directly answer common questions in your industry. Third, write authoritative, citation-worthy content with clear claims backed by data. Fourth, optimize for entities — ensure your brand, products, and key concepts are clearly defined. Fifth, build topical authority by covering subjects comprehensively rather than superficially. Finally, monitor your AI visibility using tools like hogiah to track which engines cite you and identify gaps. Regular content updates and fresh data also signal relevance to AI crawlers.

What AI search engines should businesses monitor?

Businesses should monitor at least five major AI search platforms: ChatGPT (the largest user base for AI-powered search), Google AI Overview (integrated directly into Google search results, affecting billions of queries), Perplexity (growing rapidly as a dedicated AI search engine with real-time citations), Gemini (Google's AI assistant with deep integration into Google's ecosystem), and Claude (Anthropic's AI with a strong user base in professional and research contexts). Multi-engine monitoring is critical because each AI platform uses different models, training data, and citation algorithms — your brand might be well-cited on Perplexity but invisible on ChatGPT. hogiah tracks all of these simultaneously to give you a complete picture.

Does structured data help with AI search visibility?

Yes, structured data is one of the most impactful factors for AI search visibility. JSON-LD schema markup makes your content machine-readable, allowing AI engines to accurately parse your business information, products, services, FAQs, and expertise. Specifically, FAQ schema helps your answers appear in AI-generated responses, Organization schema establishes your brand entity, Product schema ensures accurate product information, and Article schema helps AI engines understand your content's authority and recency. Without structured data, AI engines must infer meaning from unstructured HTML, which often leads to misinterpretation or omission. hogiah's GEO analysis includes a dedicated structured data dimension that audits your schema markup and provides ready-to-use code fixes.

What is Google AI Overview and how does it affect SEO?

Google AI Overview (formerly SGE — Search Generative Experience) is Google's AI-powered summary that appears at the top of search results for many queries. Instead of showing only links, Google now generates a synthesized answer using AI, pulling information from multiple web sources. This fundamentally changes SEO because even if your site ranks #1 organically, users may get their answer from the AI Overview without clicking through. To maintain visibility, businesses need to optimize for both traditional rankings AND AI Overview inclusion. This means creating content that AI can easily cite — clear, factual, well-structured information with strong E-E-A-T signals. hogiah tracks whether your content appears in Google AI Overview responses alongside traditional AI search engines.

GuideJune 1, 202615 min read

The Complete Guide to AI Crawlers: GPTBot, ClaudeBot, PerplexityBot Are Crawling Your Website

A comprehensive guide to the 10 major AI crawlers visiting your website — what each does, how to configure robots.txt for granular control, the crawling-to-citation relationship, and how llms.txt helps AI understand your content.

AI Crawlers: The Invisible Visitors to Your Website

Every day, AI crawlers from OpenAI, Anthropic, Google, Meta, and others scan your website to fuel their AI systems — for model training or real-time search citations. Understanding who they are and how to manage them is a critical foundation of GEO strategy.

The 10 Major AI Crawlers

OpenAI (3 crawlers)

GPTBot — Training crawler for GPT models. Blocking it won't affect ChatGPT search citations.
OAI-SearchBot — Powers ChatGPT search citations. Allow this if you want ChatGPT to cite you.
ChatGPT-User — Triggered when users paste URLs into ChatGPT conversations.

Anthropic (2 crawlers)

ClaudeBot — Training crawler for Claude models.
Claude-Web — Powers real-time citations from Claude.ai queries. Allow for citation traffic.

Perplexity

PerplexityBot — Handles both indexing and real-time retrieval. Note: Cloudflare has reported Perplexity may use undeclared crawlers to bypass robots.txt rules.

Google

Google-Extended — A robots.txt control token (not a separate crawler). Blocking it opts out of Gemini training and AI Overview, but does not affect traditional Google search rankings.

Apple

Applebot-Extended — A robots.txt opt-out token for Apple Intelligence features. Won't appear in server logs.

ByteDance

Bytespider — The most controversial crawler. HAProxy reported it accounts for ~90% of AI crawler traffic on some sites, with reports of ignoring robots.txt rules. Most experts recommend blocking it.

Common Crawl

CCBot — Non-profit crawler whose open dataset has been used to train many AI models including early GPT versions.

Recommended robots.txt Configuration

Use a "block training, allow search" strategy:

# Allow search/citation crawlers
User-agent: OAI-SearchBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: Claude-Web
Allow: /

User-agent: PerplexityBot
Allow: /

# Block training crawlers
User-agent: GPTBot
Disallow: /

User-agent: ClaudeBot
Disallow: /

User-agent: Google-Extended
Disallow: /

User-agent: Bytespider
Disallow: /

Key principles: List each crawler individually (avoid wildcards), distinguish training from search crawlers, and review quarterly as AI companies frequently launch new bots.

Crawling vs. Citation: The Relationship

Being crawled is necessary but not sufficient for citation. AI systems evaluate content relevance, authority, freshness, and structure before citing. Training crawlers affect long-term model "memory," while search crawlers (OAI-SearchBot, Claude-Web) directly influence real-time citation results.

To improve citation likelihood:

Ensure search crawlers can access key pages
Use structured formatting (headings, lists, tables, FAQ)
Provide original data and unique insights
Keep content fresh and updated
Monitor citation performance with hogiah's citation tracking

llms.txt: The New AI Standard

Proposed by Jeremy Howard of Answer.AI, llms.txt is a Markdown file in your root directory that serves as a "table of contents" for AI systems. While robots.txt controls access ("you can't enter"), llms.txt guides comprehension ("once inside, read these first").

It's still early-stage, but the setup cost is minimal — just a Markdown file listing your key pages and content hierarchy. Early adopters may gain an advantage as AI crawler support grows.

FAQ

Q: Does blocking AI crawlers affect Google SEO rankings? No. Blocking GPTBot, ClaudeBot, or even Google-Extended has zero impact on traditional Google search rankings.

Q: Can robots.txt reliably block AI crawlers? Most major AI companies respect robots.txt, but it's a gentleman's agreement with no technical enforcement. Supplement with CDN/WAF bot management for stronger protection.

Q: Should I set up both robots.txt and llms.txt? Yes. They're complementary — robots.txt controls access, llms.txt guides understanding. Start with robots.txt (essential), then add llms.txt as an advanced optimization. See our GEO glossary for more.

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