Guide
Give assistants facts they can cite - not guesses about your protocol
Large language models synthesize answers from text they can retrieve and trust. JSON-LD bundles entities - organization, product, FAQ - so MentionVox-style snapshots see machine-readable proof alongside marketing prose.
Classic SEO treated structured data as a rich-results shortcut. For GEO, markup is closer to an API for truthy facts: legal name, ticker equivalents, supported networks, audit pointers - whatever your risk team is willing to publish.
Assistants still hallucinate, but pages with coherent Schema.org graphs give them hooks to quote numbers, founders, and scope accurately. Thin or contradictory markup trains the model to hedge - which reads like uncertainty to a retail user.
You do not need every schema type. Start with one accurate JSON-LD node that mirrors what sales repeats on calls; expand once analytics shows which queries drive assisted conversions.
Implementation detail matters: duplicate conflicting nodes across plugins confuse parsers. Prefer one authoritative script block with type application/ld+json per owning template rather than stacking vendor snippets blindly.
Testing workflow mirrors classic QA - validate JSON syntax, confirm `@context` resolves to schema.org, diff prod versus staging, then rerun MentionVox because runtime HTML may strip markup via CSP or tag managers.
Localization teams should translate visible strings and structured literals together. Mixed-language graphs signal low trust even when English paragraphs read fluently.
How MentionVox uses structured data signals
During the free snapshot we detect whether your HTML exposes JSON-LD that models can ingest quickly. That signal feeds the AI visibility story alongside crawler reachability.
- Structured data present means assistants have an easier path to summarizing your entity-level facts.
- Structured data missing flags that your marketing story lives only in unstructured paragraphs - harder for models to lift cleanly.
- Malformed JSON-LD blocks sometimes validate in isolation yet fail once CMS strips whitespace or duplicates nodes - MentionVox evaluates what ships on the live HTML response.
Shape the graph before chasing rich-result trophies
Pick a primary entity first - usually Organization or Corporation tied to your legal entity - then attach Product SoftwareApplication or Service nodes that map to buyer-facing surfaces.
`sameAs` should enumerate profiles humans already trust - official Twitter/X handle, GitHub org, documentation hostname - not every social experiment account unless compliance agrees.
FAQ schema works when answers mirror verbatim disclosures legal approved. Never invent jurisdictional promises inside FAQ nodes solely for assistants.
Schema types crypto teams reach for first
These cover most launch narratives without exploding maintenance:
- Organization plus logo URL for brand panels assistants reconstruct.
- Product or SoftwareApplication for wallets protocols SaaS dashboards users evaluate.
- FAQPage only after counsel signs individual answers.
- HowTo sparingly for staking bridging onboarding flows where steps map to shipped UI.
- Event when conferences launches AMAs need temporal grounding tied to canonical URLs.
Practical fixes for crypto teams
Align `@type`, name, url, and sameAs fields with profiles users already trust - official docs, GitHub orgs, audited repos.
Surface risk disclosures and geography constraints in FAQ schema only when legal signs off - consistency beats volume.
After shipping markup, rerun the MentionVox snapshot on the same URL and query to confirm the structured-data signal flips - then monitor messaging in downstream audits.
Validate before and after deploy
Use Schema.org validator or equivalent IDE tooling on saved HTML - caches lie, always fetch the URL MentionVox checks.
Watch for robots or meta robots accidentally blocking meaningful sections after deploy - crawler hygiene and structured data signals interact.
When treasury wallets or contract addresses appear in marketing copy, mirror only what risk teams approved inside structured literals - never expose experimental deployments.
If multiple CMS plugins emit schema, consolidate ownership with engineering so Organization nodes stay singular.
Escalate conflicting markup between subsidiaries to legal before assistants amplify outdated acquisition narratives.
Related pages
Jump between product notes without hunting the footer.
GEO for crypto and Web3
DeFi, wallets, infra - how MentionVox scores GEO for crypto brands versus generic SEO talk.
Free GEO snapshot guide
The real form flow - URL, buyer-style query, submit - and how to read each signal fast.
JSON-LD for AI search
Why Schema.org markup changes whether assistants cite your entity facts accurately.
AI crawler hygiene
robots.txt AI bot rows HTTP headers such as Content-Signal - what the snapshot hygiene panel summarizes.
Site crawl guide
Bounded same-domain crawl from your URL respecting robots and rel=nofollow trade-offs.
Full GEO audit
Crypto checkout deeper automated deliverables PDF and Markdown exports after payment.