World Mobile Token case study: DePIN AEO score climbs from 19 to 64 across 90 days

LONDON · APRIL 29, 2026

World Mobile Token (WMT) is the native token of World Mobile Group, building telecom infrastructure under the DePIN (Decentralized Physical Infrastructure Networks) category. DePIN is the youngest of the crypto verticals tracked by Crawlux. The category had no median benchmark when the audit started in late January 2026. WMT's baseline AI Visibility score of 19 looked weak in absolute terms but had no peer comparison. The case study became the calibration point for the DePIN vertical itself.

The audit surfaced 17 prioritized findings. The DePIN-specific ones were the most interesting. WMT's physical-infrastructure narrative (AirNode hardware, real-world telecom coverage maps) sat in unstructured prose with no schema connecting the physical network to the token. AI engines asked about WMT returned generic crypto-token answers, missing the actual differentiator: physical telecom infrastructure operating in eight African countries. Bridging the physical-to-digital signal gap was the highest-impact theme.

The first 30 days focused on schema architecture. Standard FinancialProduct schema for the token page was implemented (estimated lift on its own: 12 points). The novel work was adding Place schema for the geographic coverage map, linked through Organization schema to the WMT token entity, creating a structured-data graph that connected the token to its real-world infrastructure. The Place-Organization-FinancialProduct triangulation is now templated in the Crawlux DePIN methodology because it transferred so cleanly. AI Visibility moved from 19 to 38 in 30 days.

Days 30 to 60 focused on jurisdiction and regulatory clarity. WMT operates across multiple African regulatory jurisdictions with different licensing structures (Tanzania communications authority, Mozambique mobile licensing, Kenya CAK registration). The audit recommended a Jurisdictions page documenting each market separately with proper schema and explicit regulatory disclosure. The team shipped a dedicated section listing all eight markets with licensing status, regulator name and registration number where applicable. Trust score climbed from 24 to 58. AI Visibility moved from 38 to 52.

Days 60 to 90 addressed citation engineering. The team identified the 12 highest-authority external publications that had covered WMT (CoinDesk, The Block, Decrypt, AirAfrica, regulator press releases). Each citation was added to a single "Coverage" page on the WMT site, with proper sameAs schema and dateModified maintained. The implementation surface was small: one page, fewer than 30 external links. The cite-rate impact in AI engines was disproportionate. AI Visibility moved from 52 to 64.

What did not work. Two experiments produced no measurable lift. First, adding NewsArticle schema to existing blog posts dating back two years produced no detectable change in AI cite rate, possibly because the engines had already crystallized their view of historical WMT content. Second, attempting to add Person schema for every named WMT team member created schema bloat without proportional citation lift. The Person schema was eventually scoped to three executive officers only.

Where WMT sits at publication. AI Visibility score 64 against a DePIN-vertical median that Crawlux now calibrates at 27 (anchored by the WMT data plus five other DePIN projects audited in parallel). FinancialProduct schema valid. Place-Organization-Token graph complete and linkable. Jurisdiction disclosure documented for all eight markets. Trust score 58. The WMT trajectory is now the benchmark case for the DePIN methodology that Crawlux ships as part of the standard audit framework.

For other DePIN projects, the case study's most replicable insight is the Place-Organization-Token schema triangulation. The pattern transfers to DePIN sub-categories beyond telecom: energy networks (Helium, Render), storage networks (Filecoin, Arweave), compute networks (Akash, io.net). Any DePIN project where the differentiator is physical infrastructure can apply the same schema graph. The case study includes the schema templates published as starting points.

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.