The AI Visibility Guide for crypto sites.

AEO vs SEO: what is actually different

SEO optimizes for ranking position in search engine results pages. AEO optimizes for citation in AI-generated responses from ChatGPT, Perplexity, Claude and similar engines. The technical foundation overlaps significantly; the citation model diverges meaningfully.

Three patterns matter for crypto specifically. First, AI search engines weight schema more heavily than Google does because they extract facts directly from JSON-LD. Second, AI engines penalize JavaScript-only renders aggressively because the majority of AI crawlers do not execute JS. Third, AI engines weight authority citations differently: a site cited by DefiLlama scores higher with crypto-focused prompts than a site with twice the generic backlinks.

The 4-factor LLM citation model

Different LLMs use different signals but a 4-factor model captures most of the citation behavior across ChatGPT, Perplexity and Claude. A site weak on any one factor gets cited less than its content quality alone would predict.

Schema correctness for AEO

Schema correctness is the highest-leverage AEO fix because it is binary and fast to implement. Either the page exposes the right schema type or it does not. The Crypto SEO Guide covers schema decision tree by page type; this chapter focuses on the AEO-specific patterns.

The single most common mistake on crypto sites: token information pages with generic Product schema instead of FinancialProduct. To an AI extracting facts, a Product is a thing being sold. A FinancialProduct is an instrument with specific monetary properties.

{
  "@context": "https://schema.org",
  "@type": "Product",                       // AI sees: this is a thing
  "name": "PRTC Token",
  "description": "Native governance token"
}

{
  "@context": "https://schema.org",
  "@type": "FinancialProduct",              // AI sees: financial instrument
  "name": "PROTOCOL Token (PRTC)",
  "description": "Native governance token of the PROTOCOL DeFi protocol.",
  "category": "Cryptocurrency",             // AI sees: type of asset
  "feesAndCommissionsSpecification": "https://protocol.com/fees"
}

The AI extraction model treats these very differently. The first gets categorized loosely; the second gets categorized as a financial instrument with specific properties the AI can cite directly when asked about cryptocurrencies.

For deeper schema treatment by page type (token, exchange, wallet, organization), see the dedicated Token Schema Guide with copy-paste examples for every page type.

Factual density patterns

Factual density measures the ratio of direct factual statements to marketing language. AI engines reward content that names entities, cites numbers and dates clearly. Marketing copy without facts gets cited rarely regardless of how well-written it is.

Three transformation patterns convert low-density crypto marketing copy into high-density AEO-friendly content. Each takes the same key fact and exposes it as something an AI can extract and cite.

robots.txt for AI bots

The third citation factor is binary: either the AI bot can crawl the page or it cannot. Many crypto sites block AI bots accidentally through aggressive Cloudflare filtering or outdated robots.txt rules.

The seven AI bots that matter for AEO in 2026 each serve different purposes. Allow all of them unless you have a specific reason not to.

# OpenAI
User-agent: GPTBot
Allow: /

User-agent: OAI-SearchBot
Allow: /

# Anthropic
User-agent: ClaudeBot
Allow: /

User-agent: Claude-SearchBot
Allow: /

# Perplexity
User-agent: PerplexityBot
Allow: /

# Google AI
User-agent: Google-Extended
Allow: /

# Apple Intelligence
User-agent: Applebot-Extended
Allow: /

The free Web3 Robots.txt Checker tests for the seven bots above plus catches deprecated user-agent strings (the OpenAI bots renamed several times in 2024-2025) and CDN-level overrides.

One specific case worth flagging: GPTBot trains the model; OAI-SearchBot fetches for ChatGPT search. Allowing only GPTBot does not mean ChatGPT can cite your live page; OAI-SearchBot is the bot that retrieves current pages for citation. Same pattern for ClaudeBot vs Claude-SearchBot.

Authority citations and AI weighting

AI engines prefer to cite chains of authority. A site cited by sources the AI already trusts inherits citation weight for related prompts. For crypto specifically, the authority sources differ from generic SEO authority sources.

Three tiers of authority sources matter for crypto AEO. Each tier carries different citation weight depending on the prompt category.

Avoid the temptation to chase generic high-DA backlinks instead. A site with 5 Tier 1 crypto authority citations outperforms a site with 50 generic high-DA backlinks for crypto-specific AEO. The compute is different.

Citation rate testing methodology

The only way to measure AEO progress is direct citation rate testing. Build a prompt set, run it across multiple LLMs, score citations. Re-test on a fixed cadence to measure improvement.

The five-step methodology below is what the Crawlux audit runs internally. The methodology is open; other auditors can use it without Crawlux.

The free AI Citation Checker runs 5 prompts per audit; the full Crawlux Pro audit runs 30+ category-specific prompts with prompt-by-prompt diagnostics.

Prompt set design per crypto category

Generic prompt sets miss crypto-specific citation patterns. The Crawlux audit detects category automatically and runs the relevant prompt set. Four crypto categories cover most projects.

Monitoring AEO over time

Citation rate drifts faster than Google ranking position. LLM training data refreshes, prompt-routing models update independently and authority weighting shifts as AI engines learn from real user behavior. A site that ranked highly in Q1 may rank lower in Q2 without changing anything.

Three monitoring patterns catch the different types of drift. Each operates on a different timescale.

The companion Crypto SEO Guide covers the full quarterly audit workflow including the other 7 dimensions beyond AEO. The Token Schema Guide goes deeper on schema selection per page type.