Decentralized compute
Akash, Render, io.net-style. Audit covers provider directory pages, pricing transparency and GPU availability documentation.
AI crypto · Crypto-native audit
AI crypto SEO audit. Built for the AI + Web3 convergence.
Run a full SEO audit on any AI crypto project. Eight crypto-native modules covering compute marketplace schema, model registry transparency, agent platform documentation, decentralized AI inference and AEO visibility for AI crypto queries. Free first audit, no signup.
// Why crypto-native AI crypto SEO
Generic SEO tools were not built for AI crypto
AI crypto is the fastest-growing crypto narrative of 2026 and the most poorly served by existing SEO tools. Projects span decentralized compute, AI agent platforms, model registries and inference networks. Each has unique content patterns. None are handled correctly by generic crypto SEO tools, let alone non-crypto ones. The irony of AI projects ranking poorly in AI engines is real and fixable.
- Compute marketplace pages need proper ItemList schema for available resources
- AI agent platform pages need SoftwareApplication schema plus capability documentation
- Model registry pages need DataCatalog schema linking to individual models
- Token utility documentation gets buried under marketing pages
- Hardware provider transparency pages are missing on most DePIN projects
// Eight modules tuned for DeFi
Every audit module is DeFi-aware
From schema validation to backlink toxicity, every Crawlux module is calibrated for decentralized finance protocols.
01
Technical SEO
Core Web Vitals, crawlability and indexation. Tuned for SPA-heavy DeFi frontends like Vue and React.
Open module →02YMYL & E-E-A-T
DeFi is YMYL by definition. We audit author bios, audit firm citations and trust signals against Google's quality guidelines.
Open module →03AI Visibility (AEO)
Tests your protocol against real DeFi queries in ChatGPT, Perplexity and Claude. Scores citation frequency.
Open module →04Token Schema
Validates FinancialProduct, CryptoExchange and InvestmentOrDeposit JSON-LD. Checks fee disclosure and APY markup.
Open module →05Keyword Intent
Classifies DeFi keywords by intent. "Best DeFi yield" is different from "Aave APY" or "how to use Compound".
Open module →06Backlink Toxicity
Web3-tuned PBN detection. Flags spam from copycat sites without penalizing legitimate DefiLlama and CoinGecko links.
Open module →07Competitor Analysis
Benchmarks your protocol against the top 20 DeFi sites in your category by AEO score, schema coverage and content quality.
Open module →08PDF Report
White-label PDF with prioritized fixes. Send the report to your team or client as a deliverable.
Open module →All 8 modules run on your domain in under 60 seconds. Free first audit on any DeFi site.
// Built for these AI crypto categories
Calibrated for every AI crypto category
AI crypto is not one vertical. It spans 6+ distinct categories each with its own search patterns.
AI agent platforms
Virtuals, Wayfinder, ElizaOS-style. Audit covers agent registry pages, capability documentation and framework comparisons.
Decentralized inference
Bittensor, Allora-style. Audit covers subnet documentation, mining process pages and validator transparency.
Decentralized model registries
Ocean, FedML-style. Audit covers model catalog pages, dataset disclosure and licensing documentation.
AI x DePIN
Grass, Nosana, Hivemapper-style. Audit covers device requirements, reward mechanics and contributor transparency pages.
Crypto-native AI tools
AI trading agents, on-chain analysis tools and prediction market AI. Audit covers methodology pages, model transparency and pricing documentation.
// Generic tools vs Crawlux
What generic tools miss for AI crypto
See how AI crypto projects you compete with score across the 8 audit modules.
- Compute marketplace pages without ItemList schema for resources
- AI agent platforms without proper SoftwareApplication schema
- Model registry pages buried in /docs/ instead of being commercial pages
- Hardware provider transparency missing on DePIN AI projects
- Token utility documentation that explains how the token relates to AI usage
- Subnet or network architecture documentation accessible only via PDFs
// Audit process
How a Crawlux AI crypto audit works
AI crypto entity scan
Crawl the project domain and identify the category (compute, agent, inference, registry, DePIN AI, native tool). Map the entity graph.
Category-specific audit
Run category-specific schema checks. Compute audits check provider directories. Agent audits check capability documentation. Each gets calibrated treatment.
Token utility documentation review
Verify token utility pages explain the connection between token and AI service clearly. This is the largest gap we see in AI crypto SEO.
AEO visibility check
Test 30 AI crypto queries across ChatGPT, Perplexity and Gemini. Score citation presence for the project entity.
Report delivery
Eight-module PDF report with prioritized fixes. Includes schema templates calibrated to the project category.
// Pricing for DeFi audits
One-time, per domain. No subscription.
Free first audit on every DeFi site so you can test before upgrading. Pay once per domain you audit, never monthly.
// FAQ
AI crypto SEO questions, answered
Does Crawlux understand the different AI crypto categories?
Yes. The audit identifies which of the 6 AI crypto categories the project fits and runs category-specific checks. Compute marketplaces get different audit treatment than AI agent platforms.
How is AI crypto SEO different from regular crypto SEO?
AI crypto adds category-specific schema needs (ItemList for compute, SoftwareApplication for agents, DataCatalog for model registries) and token utility documentation requirements that explain the AI-token connection.
Can you audit AI agent platforms specifically?
Yes. Agent platform audits cover the agent registry structure, capability documentation, framework documentation and ecosystem partner pages.
What schema should an AI crypto project use?
Organization for the project, plus category-specific: ItemList for compute marketplaces, SoftwareApplication for agent platforms, DataCatalog for model registries, Service for inference networks. The audit report includes specific templates.
How long does an AI crypto audit take?
About 4 to 8 minutes from URL submission to PDF delivery. Larger projects with multi-subnet documentation can take up to 12 minutes.
FREE WEB3 AUDIT
Run a free audit for your vertical.
Get the Crawlux audit tuned for your specific crypto vertical. Free first audit per domain.
Free first audit · No signup · 60 seconds · Full PDF report