AI Visibility Audit (AEO) for Crypto | Crawlux

AI visibility audit (AEO). Built for ChatGPT, Perplexity and Claude.

Crypto users now ask AI before they Google. Crawlux runs your domain through real prompts in ChatGPT, Perplexity and Claude, then scores citation frequency, the wording AI uses about you and the gaps between you and the sites that get cited. The first AEO audit module purpose-built for crypto.

Three layers of AI search visibility

Getting cited in AI answers requires three things working together: structured access for AI bots, content shaped for retrieval and authority signals on crawlable sources. Crawlux audits all three.

AI bot access and structure

Many sites accidentally block GPTBot or ClaudeBot in robots.txt because they copied a generic blocklist. Crawlux verifies the AI bot allowlist, validates FAQPage and Q-and-A schema and checks that key landing pages are reachable for AI crawlers.

Live citation testing

The audit sends real category prompts to ChatGPT, Perplexity and Claude, then parses the AI responses for your domain. You see exactly which queries cite you, which cite your competitors and the wording the model uses about your project.

Crawlable authority signals

AI models cite sources they trust. Crawlux scores your presence on the sources LLMs actually pull from: GitHub, CoinGecko, DefiLlama, crypto news outlets and Wikipedia. Missing presence on these sources is the most common AEO gap.

Eight AEO checks per domain

Each check produces a prioritized fix in the PDF report. AEO scores are reported per LLM so you see exactly where you appear and where you do not.

1. ChatGPT citation test

Sends category-relevant prompts to ChatGPT (with browsing). Parses each response for your domain. Reports citation frequency, position in answer and the exact wording.

2. Perplexity citation test

Same prompt set sent to Perplexity. Citations appear inline as numbered sources, so the audit captures whether you are listed and at what rank in the answer.

3. Claude citation test

Same prompts run through Claude with web search. Claude's answer style differs from ChatGPT, so the audit reports each engine separately.

4. AI bot allowlist

robots.txt parsed for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended, CCBot and Bytespider. Recommends an explicit allow strategy.

5. FAQPage and Q-and-A coverage

AI engines pull heavily from question-and-answer blocks. Module checks for FAQPage schema on key pages and flags landing pages missing structured Q-and-A blocks.

6. Factual density

AI models prefer pages with named entities, specific numbers, dates and citations. Module scores factual density and flags pages where retrieval is unlikely.

7. Crawlable authority sources

Checks your presence on GitHub, CoinGecko, DefiLlama, Wikipedia, CoinMarketCap and major crypto news outlets. Missing entries here are the most common AEO gap.

8. Competitor AEO deltas

Same prompts run against the top 20 competitors in your category. You see the citation gap, which competitor wins each query and what wording they use.

All 8 AEO checks run on your domain in under 60 seconds. Combined with 7 other audit modules.

Why ChatGPT prompts are not an audit

Most teams check AEO by typing a few prompts into ChatGPT. That misses the structural fixes. Crawlux runs the same prompt set across three LLMs every time and surfaces the why behind every citation gap.

What a systematic AEO audit gives you

How the AI visibility audit runs

Four phases, all in parallel

The AI Visibility module runs alongside the seven other audit modules. Total audit time is typically under 60 seconds.

  1. Prompt set selection
    Crawlux maps your domain to its category (DeFi, exchange, NFT, wallet, layer-1) and selects the matching prompt set. Each set has 30+ category-relevant queries pulled from real user search behavior in AI engines.

  2. Live LLM testing
    Same prompts sent to ChatGPT (with browsing), Perplexity (sonar-pro) and Claude (with web). Each response parsed for citations, mentions and the wording the model uses. AEO score per LLM calculated.

  3. Structural diagnosis
    For prompts where you are not cited, Crawlux diagnoses the structural cause: AI bot blocked in robots.txt, missing FAQPage schema, low factual density on key pages or no presence on crawlable authority sources.

  4. PDF report assembly
    Findings prioritized by AEO impact (high / medium / low) and effort (5min / 1hr / dev required). The PDF includes specific Q-and-A copy suggestions, schema snippets and the list of authority sources to target.

AEO questions, answered

What is AEO and how is it different from SEO?

AEO stands for Answer Engine Optimization (also called Generative Engine Optimization or GEO). Where SEO targets ranked links on Google, AEO targets being cited inside AI-generated answers from ChatGPT, Perplexity, Claude, Gemini and similar engines. Signals overlap with SEO (authority, schema, factual density) but the optimization tactics differ. AEO matters more in crypto because users now ask AI models for protocol recommendations before they Google.

How does the AI Visibility audit work?

Crawlux runs your domain through real prompts in ChatGPT, Perplexity and Claude. The module sends category-relevant queries (best DeFi yield, top NFT marketplace, safest hardware wallet) and parses the AI responses for citations, mentions and the wording models use about your project. Each LLM is tested separately so you see where you appear and where you do not.

How do I improve AEO for a crypto site?

Five fast wins:

  1. Allow AI bots in robots.txt (GPTBot, ClaudeBot, PerplexityBot).
  2. Add comprehensive Q-and-A blocks with FAQPage schema on key landing pages.
  3. Get cited on crawlable authority sources like CoinGecko, DefiLlama and crypto news outlets.
  4. Keep factual density high (specific numbers, dates, named entities).
  5. Validate Organization schema with sameAs links to GitHub and Twitter.