Web3 search behavior splits across technical and retail audiences, most LLMs treat crypto content with suspicion, and the category is full of thin content that drowns real authority. Winning in SEO and GEO requires a different playbook than most crypto teams run.

The Problem

Web3 sits inside a skepticism filter

Google has adjusted ranking signals to demote low-quality crypto content, and LLMs have been trained on adversarial datasets that make them cautious when citing crypto sources. Protocols that publish generic SEO content get filtered alongside the scams and pump pages. Building search authority in Web3 requires demonstrating technical substance and real provenance, not just keyword-matched pages.

High-intent queries are concentrated and competitive

The queries that actually produce users – things like best L2 for gaming, how to bridge to base, specific token names with compare, buy, or stake modifiers – are dominated by aggregators, exchanges, and entrenched sites with years of backlink history. New protocols cannot outrank these sites on the main query. They need a different approach that targets lower down the query tree while building the authority to compete for bigger terms.

LLMs rarely cite protocol sites directly

When users ask ChatGPT, Claude, Perplexity, or Gemini about a Web3 project, the answer usually comes from CoinGecko, CoinMarketCap, CoinDesk, a handful of newsletters, and Wikipedia. Protocol sites themselves get cited less often than teams expect. Without deliberate work to get referenced in the sources LLMs trust, the project disappears from generative answers regardless of how well its own site ranks.

Technical and retail audiences need different content

A developer searching for how to integrate a protocol wants documentation, code samples, and architecture explanations. A retail user searching for whether to use the same protocol wants clear language, risk framing, and simple comparisons. Most Web3 sites collapse these audiences into one content set that serves neither, which hurts ranking because the content does not match any specific query intent.

How We Help

Assessment starts with the search and LLM reality, not with keyword lists. We audit what currently ranks for your category's core queries, which sources get cited by each major LLM when asked about your project and its competitors, and where your own content sits on both. Most Web3 teams are surprised by the gap between where they think they are and where they actually are – often strong on branded terms, weak on commercial queries, and absent from LLM answers entirely.

We then separate the audience streams. Developer queries, retail queries, and investor queries get different content tracks because the intent and expected format differ. Developer content lives near documentation and integration guides. Retail content lives in comparison guides, how-to pages, and beginner-oriented explanations. Investor content lives in analysis pieces and token mechanics deep dives. Splitting these cleanly makes every page easier to rank.

Strategy targets queries along a ladder rather than swinging at the biggest terms first. We identify specific long-tail queries where the competition is beatable, build authority there, and use that foundation to compete for more valuable queries over time. This takes longer than chasing a single head term but compounds because each win makes the next one more achievable.

GEO work runs alongside traditional SEO but targets different outputs. We track which sources LLMs cite for your category, identify gaps where your team has real expertise, and pursue the specific placements, data submissions, and corrections that change what LLMs say. This includes CoinGecko and CoinMarketCap listings done right, Wikipedia presence where warranted, targeted contributions to the newsletters LLMs rely on, and structured data on your own site that makes content easier to quote.

On-site execution upgrades technical fundamentals, page structure, and schema. Many Web3 sites have serious technical SEO gaps – slow performance, bad internal linking, missing schema, or JavaScript rendering issues that hide content from crawlers. Measurement tracks both search traffic and LLM citation rate. Weekly reports cover ranking movement on targeted query clusters, organic traffic to the pages we are building, and citation frequency in LLM answers sampled across providers.

What we deliver

Search and LLM audit – current ranking position and citation frequency across major engines and LLM providers
Query ladder and content plan – targeted sequence from long-tail to head terms mapped to developer, retail, and investor audiences
GEO placement strategy – specific external sources, listings, and contributions that change how LLMs cite the project
Technical SEO and schema implementation – on-site fixes that make content crawlable and quotable

In Web3, search authority is earned twice – once from Google's filter against low-quality crypto content and once from LLMs trained to be skeptical of the category. Shortcuts do not work. Substance does.

Our Methodology

Our 90-day Web3 SEO and GEO sprint opens with a full audit in the first 30 days – search position, LLM citation patterns, technical site health, and current content inventory. This phase produces an honest map of where the project stands rather than a keyword list. Most teams discover they have been publishing content for queries no one searches and missing queries that would produce real users.

Days 30 to 60 focus on foundation work. Technical SEO fixes ship first because nothing downstream works without them. Content production starts with long-tail pages that can rank quickly. External placement work begins on the sources LLMs cite most. Days 60 to 90 move from foundation to scale. Content production expands from long-tail to mid-tail queries as authority signals accumulate. GEO work tracks whether LLM citations are shifting in the project's favor.

How We Work

Engagements typically run 6-9 months because SEO compounds on a quarterly timeline. The first 90 days are 2-3 days per week working with marketing, content, and engineering leads. The remaining months shift to 1-2 days per week focused on content review, placement work, and measurement.

We work directly with the content lead, technical lead, and founder where positioning matters. We do not pass content through junior writers who do not understand the category. Web3 content that reads as generic gets ignored by users and filtered by both search and LLMs, so authorship quality is not negotiable.

You provide access to analytics, Search Console, site CMS, and content tools. We handle strategy, query targeting, editorial oversight, placement work, and measurement. Writing can be handled by our network, your internal team, or a mix. Weekly working sessions review ranking movement, content pipeline, and placement progress. Monthly reviews look at LLM citation sampling and major strategic calls.

Ranking on queries that produce users – presence on the specific commercial queries in your category, not just branded search
LLM citation growth – increased frequency of accurate references in generative answers across major providers
Content engine that compounds – a production pipeline that keeps adding authority rather than consuming effort without output

If your web3 / blockchain company needs seo & geo leadership, we should talk.

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Frequently asked questions

How much does Web3 SEO and GEO work cost?

Engagements typically run $15K to $30K per month for strategy, editorial oversight, and placement work. Teams that need full content production through our network land at the higher end. Teams with strong internal writers land lower. Most engagements run 6-9 months, so full investment usually falls between $90K and $270K.

How long before we see results from SEO and GEO work?

Technical SEO fixes and initial long-tail content can move rankings within 60-90 days. Authority building on competitive queries takes 4-6 months. LLM citation changes usually appear between months 3 and 6 as external placements mature. Teams that expect search traffic in the first 30 days should not invest in SEO at all.

How do you integrate with our existing content team?

We work with existing content teams rather than replacing them. Our role is strategy, query selection, editorial oversight, and placement work. Writing can be done internally, through our network, or through a hybrid model. If current content is not meeting substance and accuracy requirements, we flag it directly rather than quietly rewriting.

What makes Winston Francois different from a typical SEO agency?

Most SEO agencies run the same playbook they use for SaaS or ecommerce – keyword lists, link building, and content volume. That approach gets filtered in Web3 because Google and LLMs both distrust thin crypto content. We focus on substance, entity clarity through schema, and placements in the sources LLMs trust. We also measure LLM citation rate, which most SEO agencies do not track.

How do you measure ROI from SEO and GEO investments?

We track organic traffic to high-intent pages, conversion from organic sessions to wallet connect or signup, and LLM citation frequency across major providers. ROI calculations use retained users per organic session rather than total sessions because vanity traffic does not matter. Most engagements need 6 months before the ROI calculation stabilizes.

What stage of Web3 company is the right fit for this work?

Teams with a working product and some existing brand recognition who need to convert category interest into direct traffic and LLM citations. Usually post-launch through growth-stage protocols and apps. Very early projects with no product or community get more value from go-to-market work first. Teams unwilling to invest over a 6 month horizon should not start SEO work at all.