Inside Crawlux Pro GA: 8 weeks of beta, 47 audits and what moved the score
Full beta data dump. 47 audited sites across 9 verticals. Median 18.4% AI citation lift in 30 days. The 3 fixes that moved scores most, the 2 that did not move the needle and the v2 methodology roadmap.
The cohort: who we audited during alpha
Between February 24 and April 13, 2026, Crawlux audited 47 sites during the private alpha. The cohort: 19 DeFi protocols (8 lending, 6 perpetuals, 5 spot DEX), 11 staking and restaking platforms, 7 NFT-related projects (4 marketplaces, 3 game-fi), 5 wallet products (3 self-custody, 2 smart account), 3 layer-1 chains, 2 oracle networks. Geographic distribution: roughly 40% North America, 35% Europe, 15% Asia, 10% elsewhere.
TVL distribution: 11 protocols at $100M+ TVL, 16 between $10M and $100M, 14 between $1M and $10M, 6 pre-launch or sub-$1M. Monthly traffic distribution: 8 sites at 100K+ monthly visits, 22 between 10K and 100K, 17 below 10K. The mix was deliberate: alpha selection prioritized diversity over size to test the audit methodology across the actual distribution of crypto sites that exist.
Beta findings by category
Aggregated findings across the 47 audits, by audit module. Token Schema Audit: 158 of 207 token pages (76%) used wrong schema type. AI Visibility Audit: median AEO score 11/100; 78% scored below 20. Backlink Toxicity: 23.6% of generic-flagged toxic links reclassified as positive under the Web3 rubric. Technical SEO: median Core Web Vitals score 67/100, the strongest single metric across the cohort. Robots.txt and AI bot policy: 67% of sites blocked at least one major AI bot. Competitor Analysis: median 14.3 high-severity findings per site that competitors handled correctly and the audited site did not.
The pattern: the issues that generic tools cannot see (schema type accuracy, AI visibility, robots.txt bot policy specific to AI bots) are the issues where crypto sites fail most often. The issues that generic tools cover well (Core Web Vitals, basic technical SEO) are where crypto sites do reasonably already.
The 18.4% median citation lift breakdown
The headline beta result: median AI citation rate improvement of 18.4% within 30 days post-audit, across the 47-site cohort. Distribution: 12 sites saw lifts above 25%, 21 sites between 10% and 25%, 9 sites between 0% and 10%, 5 sites with no change or slight decline. The 5 no-change sites mostly fell into two buckets: pre-launch sites with insufficient baseline citations to measure change and sites that did not ship any fixes from the audit recommendations.
For sites that shipped the top 5 recommendations, the median lift was 27.3% within 30 days. For sites that shipped only the top 2 recommendations, the median lift was 14.1%. The implementation discipline mattered more than the audit itself. The audit identifies the fix list; ship rate determines the outcome.
What worked: top 3 highest-impact fixes
Fix 1: Token schema migration from Product to FinancialProduct. Median impact when shipped: 7.4 points of AEO score lift, 11.2% citation rate improvement, 73% of audited tokens became eligible for Knowledge Graph cards within 21 days. The single highest-impact fix in the audit. Covered in depth in the FinancialProduct vs Product schema guide.
Fix 2: Robots.txt update to allow AI bots. Median impact: 4.1 points of AEO score lift within 14 days, sometimes faster. The fix often runs in under 10 minutes but unlocks citation eligibility that no other fix can replace. See the Web3 robots.txt guide for the configuration.
Fix 3: Audit firm citations with linked reports. Median impact: 3.2 points of AEO score lift within 30 days, sustained over time. The fix benefits both AI citations and YMYL trust signals for E-E-A-T scoring in Google. Sites that already had audit firm relationships but had not surfaced the links saw the fastest gains.
What did not move the needle
Two categories of fixes that beta participants prioritized but that did not produce measurable outcomes. First: generic backlink building. Sites that ran outreach campaigns during the audit window mostly added Tier 3 or 4 links that the Web3 rubric scored as neutral. The outreach effort did not translate to citation improvements. The takeaway: chase Tier 1 placements (DefiLlama, Bankless, audit firm reports) or do not bother.
Second: Core Web Vitals optimization. Sites that improved CLS, LCP and INP scores during the audit window saw no measurable AEO or citation rate change. CWV remains important for Google ranking but does not appear to influence AI engine citation behavior. The fix is still worth shipping for SEO reasons; it just is not an AEO play.
The 4 free tools that emerged from beta
Each of the 4 free tools shipped during beta originated from a specific beta-participant pain point. The AI Citation Checker shipped after the first 3 audits revealed beta participants had no way to measure baseline citation rate before fixing. The Token Schema Tester shipped after schema validation became the highest-impact fix and beta participants asked for a standalone way to test before publishing. The AEO Test shipped when the 12-prompt Citation Checker proved insufficient for sites operating across multiple verticals. The Web3 Robots.txt Checker shipped after the 67% bot-blocking rate surfaced as the most preventable failure mode.
All four tools remain free with no signup at GA. The free tier of Crawlux Pro covers the same checks bundled into a single audit. The tools exist as standalone diagnostics for teams that want to validate a specific check rather than run the full audit pipeline.
v2 methodology roadmap
Three new analyzer modules ship at end of Q2 2026. Crypto Geo-Regulatory Targeting validates hreflang and jurisdictional content fit for protocols operating across multiple regulatory zones. On-Chain Transfer Velocity is a new authority signal weighting model that incorporates token transfer patterns as a topical authority proxy. Multi-Chain Documentation Indexability covers Docusaurus, Mintlify and Nextra deployments common in crypto, validating that documentation pages are crawlable, indexable and properly schema-marked.
Q3 2026 adds a Crypto Schema Library module that ships standardized schema templates for 14 schema types beyond FinancialProduct, including CryptoExchange, NonprofitType (for DAO treasuries), Event (for governance proposals), HowTo (for protocol integration guides) and JobPosting (for protocol team listings). The full methodology stays open at crawlux.com/blog/crawlux-methodology.
For the announcement of the GA launch and full feature set, see the press release from April 13, 2026.
Take
Schema migration was the highest-impact single fix every time. Backlink toxicity rescoring was almost never. Content depth was inconsistent. The data ranked the audit checks for us.
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Crawlux is the world's first automated SEO audit tool built for Web3, DeFi and blockchain. The platform runs 23 analyzers across 6 check groups including AI visibility testing across ChatGPT, Perplexity and Claude. Free tier available. Paid tiers from $25 per audit. More at crawlux.com.
Frequently asked questions
How does pricing work at GA?
One-time per audit. $25 for Crawlux Pro covering all 23 analyzers. $49 for Team tier adding multi-domain audits, white-label PDFs and the API. Free tier covers technical SEO, AI bot policy and on-page schema for any crypto domain.
Will alpha pricing be honored for early customers?
Alpha participants who completed at least one beta audit get the first 3 Pro audits at no charge as GA pricing rolls out. After that, standard pricing applies.
When does v2 methodology ship?
End of Q2 2026. Existing audit URLs continue to resolve under v1 scoring for historical reference. v2 audits get v2 scoring automatically.
Can I export beta data for my site?
Yes. Beta participants can request their full audit history including before-and-after scores. Email [email protected] with the domain and we will export within 48 hours.
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