Google treats crypto content the same way it treats medical and financial advice: with extreme scepticism. The E-E-A-T framework — Experience, Expertise, Authoritativeness, Trustworthiness — exists precisely because crypto is a space where low-quality content causes real financial harm. If your Web3 site does not actively signal E-E-A-T, Google will deprioritise it regardless of how good the content is.
Key points from the video
- Crypto is Your Money or Your Life content, so the quality bar is higher.
- Four signals decide it: experience, expertise, authority and trust.
- Experience means case studies with real results, the kind only someone who did the work writes.
- Expertise means every post carries a named author with a real bio and a verifiable profile.
- Authority is not self-declared. It comes from others citing you.
- Trust means naming your team, disclosing your status and linking the on-chain data behind every claim.
- A 30% APY claim with no link is an unverified claim. Link the proof.
- Pseudonymous team? Build authority on the organisation through audited contracts, on-chain data and respected media.
What E-E-A-T means for Web3 content
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. For Web3 and crypto content, all four components are assessed more strictly than in most other industries because crypto falls under Google’s YMYL (Your Money or Your Life) category — content that can directly affect a person’s financial wellbeing.
Google does not rank E-E-A-T directly. It trains its quality raters to evaluate these signals, and those evaluations inform how the algorithm weights sites in competitive verticals. A crypto site without E-E-A-T signals is competing with one hand tied behind its back.
The original E-A-T framework added the first E — Experience — in 2022. This was a direct response to the rise of AI-generated content. Google wanted to reward content produced by people who had actually done the thing they were writing about, not just synthesised information about it.
Why crypto is especially exposed
The YMYL classification means Google holds crypto content to a higher evidence standard than, say, a cooking blog. Unverified claims about yields, token mechanics, or protocol security can cause financial losses. Google knows this and adjusts its quality assessment accordingly.
The four E-E-A-T signals and how to build them
Building E-E-A-T for a Web3 site requires four concrete actions: demonstrating first-hand experience through case studies and client results, establishing expertise through named authors with verifiable credentials, building authority through mentions and links from respected crypto sources, and building trust through transparent organisation information and verified on-chain data.
Each of these is buildable. None of them is abstract.
Experience: show you have done this
Experience signals come from content that demonstrates first-hand involvement. Case studies with real results. Posts that describe specific workflows, specific tools, and specific outcomes. Content that only someone who has done the work could write.
This is why the ConsenSys case study — covering $1.75M in SEO-influenced pipeline — carries more E-E-A-T weight than a generic “how to do Web3 SEO” post. Anyone can write the latter. Only someone who ran that project can write the former.
Expertise: name your authors
Every piece of content on a Web3 site should have a named author with a visible bio and a verifiable professional profile. An anonymous post about DeFi yield mechanics reads as a red flag to both Google and informed readers.
The author bio should include: professional background relevant to the topic, previous work or clients in the space, and a link to an external profile (LinkedIn, personal site, or a crypto-native profile like Mirror or Farcaster).
For pseudonymous founders — a genuine tension in Web3 — the practical solution is to use the organisation’s verified accounts as the authorship entity where individual attribution is not possible.
Authoritativeness: earn mentions from credible sources
Authority is not self-declared. It comes from other credible sources referencing your brand, your content, or your people. Publications like CoinDesk, The Block, Decrypt, and Messari. Conference appearances. Podcast features. Protocol documentation that references your work.
This is why building LLM visibility and E-E-A-T are related activities. Both depend on being cited by sources that AI systems and search engines already trust.
Trustworthiness: make verification easy
Trust signals for Web3 sites include: a clear and accurate description of what the protocol does, verifiable on-chain data where claims are made, named team members with public profiles, a transparent legal and regulatory status disclosure, and accurate contact information.
A common trust failure in crypto is making performance claims — “30% APY”, “100% uptime” — without linking to the on-chain data that verifies them. Google’s quality raters will flag these as unverified claims. Link to the data.
E-E-A-T and LLM visibility: the connection
E-E-A-T signals that satisfy Google also improve LLM citation rates because LLMs use the same authority proxies: named authors, verified organisations, external citations, and structured factual claims. A Web3 brand that builds E-E-A-T for Google is simultaneously building the signals that make it citable in ChatGPT and Perplexity.
This is the convergence that makes E-E-A-T investment doubly valuable for Web3 projects. You are not building for one platform — you are building the authority layer that works across all of them.
When we worked on LLM visibility for a crypto compliance SaaS, the first step was not content production. It was E-E-A-T remediation: adding author bios, fixing organisation schema, and building out the case study library. Only then did the content strategy start producing citation results. The full breakdown is in the AEO and GEO case study.
The E-E-A-T audit checklist for Web3 sites
Run through these before publishing or when auditing an existing site:
Experience
– Does content reference specific client outcomes, project names, or measurable results?
– Are processes described with enough specificity that a practitioner would recognise them as real?
Expertise
– Does every piece of content have a named author?
– Does the author bio include verifiable professional credentials?
– Is the author linked to an external profile?
Authoritativeness
– Has the brand been mentioned by respected crypto publications?
– Are there backlinks from credible sources (not just crypto directories)?
– Are team members or founders referenced as experts elsewhere on the web?
Trustworthiness
– Are all performance claims linked to verifiable data sources?
– Is there a clear, accurate description of what the protocol or service does?
– Does the site have a completed Organisation schema with accurate sameAs values?
– Is the legal and regulatory status clearly disclosed?
Frequently Asked Questions
Does E-E-A-T affect all Web3 content equally?
No — content that touches financial decisions, token investments, or protocol security is assessed most strictly because it sits squarely in the YMYL category. Educational content about blockchain concepts faces a lower bar. The more directly your content could influence someone’s financial decision, the more rigorously E-E-A-T applies.
Can a small Web3 team build E-E-A-T without a large content budget?
Yes — E-E-A-T is about signal quality, not content volume. A small team that consistently publishes case studies with real results, attributes content to named authors with visible credentials, and earns mentions from one or two respected publications will outrank a large team publishing anonymous, unsupported content at scale.
How does pseudonymity affect E-E-A-T for Web3 projects?
Pseudonymity creates a genuine tension with Google’s authorship requirements but does not make E-E-A-T impossible to build. Protocols with pseudonymous teams can build authority through organisational credibility — verified on-chain data, audited smart contracts, and mentions from respected DeFi media — rather than individual author reputation.
How quickly do E-E-A-T improvements affect rankings?
E-E-A-T improvements tend to show results over a three to six month horizon. Adding author bios and schema does not produce overnight ranking jumps. The impact compounds over time as Google’s quality raters encounter the improved signals and as the authority signals accumulate.
Is there a difference between E-E-A-T for a DeFi protocol and a crypto SaaS?
The components are the same, but the evidence looks different. A DeFi protocol builds experience through on-chain performance data and protocol audit results. A crypto SaaS builds it through client case studies and integration outcomes. Both need named authors, credible mentions, and transparent organisational information — the proof just comes from different sources.
Building in Web3 and struggling with sustainable visibility?
This is the approach we use when working on SEO for blockchain and crypto teams.
If you want to discuss your product or protocol, you can book a free strategy session.
