Crypto Keyword Intent Classifier | Web3 Search Intent Audit | Crawlux
Crypto keyword intent classifier. Six buckets, calibrated for Web3.
Generic intent classifiers map crypto queries into 4 SaaS buckets. Web3 actually splits into 6, including investigation (commercial with risk overlay) and disambiguation (token vs protocol vs company).
By the numbers
~30% of crypto queries that generic classifiers tag as "commercial" actually have an investigation overlay (need risk disclosure first). Illustrative figure based on TG3 client audit patterns
15-30% of typical landing pages have a primary keyword whose intent does not match the page content. The single most common ranking issue we see. Illustrative; varies by site
~9s to classify a typical keyword corpus through the Gemini AI Analyzer, in parallel with the seven other audit modules. Median per-corpus classification time
A representative classifier output
Click the example queries to see how the classifier maps each one across the 6 buckets, plus what it recommends as the matching content type.
Crypto keyword intent in six buckets
Each bucket maps to a different content type, schema combination and CTA pattern. Mismatches between keyword bucket and page content are the most common single ranking issue on crypto sites.
Informational
User wants to learn. No commercial intent. Example queries
- how does liquid staking work
- what is yield farming
- ethereum gas explained
Recommended: Long-form explainer · Article schema · No CTAs above the fold
Navigational
User is going somewhere known. Example queries
- connect metamask
- uniswap interface
- aave dashboard login
Recommended: Action-first utility page · HowTo schema · No marketing copy
Commercial
User is evaluating products to use. Example queries
- usdc lending interest rates
- aave vs compound
- best hardware wallet 2026
Recommended: Product comparison · FinancialProduct + Article schema · Visible "Try it" CTA
Transactional
User is ready to act now. Example queries
- swap eth to usdc
- buy bitcoin with credit card
- stake eth on lido
Recommended: Action-first product page · CryptoExchange schema · CTA above the fold
Investigation
Unique to YMYL/crypto. Example queries
- best DeFi yield protocols 2026
- safest stablecoin to hold
- highest APY crypto savings
Recommended: Comparison guide with risk-first opener · Article + FAQPage + FinancialProduct schema · Full disclosure
Disambiguation
Unique to crypto. Example queries
- aave price (token vs protocol)
- uni founder (token vs protocol vs Uniswap Labs)
- sol staking (Solana token vs protocol)
Recommended: Entity-resolved page · Distinct Organization + FinancialProduct entities with @id · Canonical strategy
A typical intent-content mismatch finding
This is the most common single ranking issue we see across crypto sites. Almost always fixable with copy and structure changes, no migration needed.
Investigation-intent keyword targeting transactional page
- Keyword classifier verdict: Investigation intent (commercial with risk overlay)
- Page reality: Transactional · "Stake Now" hero CTA above the fold
- No risk disclosure visible until scroll
Recommended fix path
- Restructure the page to lead with methodology and risk framing.
- Move comparison table mid-page with FinancialProduct schema per row.
- Move "Stake Now" CTA below the comparison, post-explanation.
- Add a 6-question FAQ block targeting investigation queries (APY calculation, impermanent loss, audit firms).
- Re-audit at 60 days to measure CTR delta.
How the keyword intent module runs
Four phases, all in parallel with the seven other audit modules. The classifier itself is the Gemini AI Analyzer's Crypto Keyword Intent Classifier check.
- Keyword corpus extraction Crawlux extracts the per-page primary keyword from each page on your domain by parsing title tags, H1s, meta descriptions and structured data. Secondary keywords are pulled from H2s and the surrounding context. The corpus is deduplicated and normalized before classification.
- Gemini classification pass
Each keyword is sent through the
Gemini AI Analyzer'sCrypto Keyword Intent Classifier. The model returns a primary bucket, an optional secondary overlay, a confidence score and the recommended content type. Low-confidence classifications are flagged for manual review. - Page content intent inference The page content itself is classified by the same model. CTA placement, headline structure, content depth, schema present and presence of risk disclosure all feed the page-intent verdict. The two verdicts are then compared per page.
- Mismatch report Pages where keyword intent differs from page intent are flagged. Each mismatch is rated by gap size and effort to fix. The PDF report includes the recommended content restructure per page, with example sections from competitors who match the intent correctly.
Crawlux 6-bucket model vs Ahrefs and Semrush
Same crypto query set, three different verdicts.
| Query | Ahrefs intent | Semrush intent | Crawlux 6-bucket |
|---|---|---|---|
| "best DeFi yield protocols 2026" | Commercial | Commercial | ✓ Investigation (commercial overlay) |
| "safest stablecoin to hold" | Commercial | Commercial | ✓ Investigation |
| "aave price" | Navigational | Navigational | ✓ Disambiguation (token vs protocol) |
| "uni founder" | Informational | Informational | ✓ Disambiguation (token vs Uniswap Labs) |
| "connect metamask" | Navigational | Navigational | ✓ Navigational (agreement) |
| "how does liquid staking work" | Informational | Informational | ✓ Informational (agreement) |
| "swap eth to usdc on uniswap" | Transactional | Transactional | ✓ Transactional (agreement) |
| "highest APY crypto savings" | Commercial | Commercial | ✓ Investigation (regulatory risk flag) |
| "buy bitcoin with credit card" | Transactional | Transactional | ✓ Transactional (jurisdiction flag) |
Keyword intent FAQ
Common questions from teams running keyword strategy on crypto and Web3 sites.
Why does crypto need its own keyword intent classifier?+
Generic intent classifiers (built into Ahrefs, Semrush, Surfer) were trained on the open web. They classify queries into 4 buckets: informational, navigational, commercial, transactional. That works for SaaS. Crypto search behavior splits two of those buckets further.
What are the six crypto intent buckets?+
Commercial, Transactional, Informational, Navigational, Investigation, and Disambiguation. Each bucket maps to a different content type and ranking strategy.
Does this work for non-English queries?+
The classifier currently runs in English with high confidence and supports queries in 9 additional languages at lower confidence. Language detection runs first; if confidence is below threshold the query is flagged and skipped from the audit.
Can the classifier detect token disambiguation issues?+
Yes. Disambiguation is one of the 6 buckets specifically because it is so common in crypto.
How does intent affect ranking?+
Ranking commercial content for an informational query produces high bounce and low engagement. The Crawlux audit flags pages where the page content does not match the primary keyword intent.