GEO, AEO & AI Search for Web3 & Crypto

Helping Your Web3 Brand Appear in ChatGPT, AI Search and Google AI Overviews

Author of the book "Mastering AI Search for Crypto & Web3 Brands"

Most Web3 teams are invisible in ChatGPT, Perplexity, and Google AI Overviews.

Not because they lack content.
Not because they lack effort.

But because AI systems cannot reliably understand, verify, or reuse what they’ve built.

This book explains why and what to fix.

Written for founders, CMOs, and product leaders building in crypto, blockchain, and Web3.

Book cover about AI and crypto

Victoria Olsina's LLM SEO for Web3 Services:

Victoria Olsina’s LLM SEO Services for Web3 focuses on making blockchain, crypto and decentralised finance brands discoverable and citable inside AI-generated answers from large language models.

This includes optimising how content is structured, contextualised and connected so it can be accurately retrieved, summarised and referenced by AI systems, not just ranked in traditional search results.

LLM SEO is not the same as:

It is a visibility strategy designed for how AI systems actually interpret information.

Best Custom GPTs for SEO: 3 Workflow Automation Tools

Why LLM SEO matters for Web3 companies

Search behaviour has changed.

Today, users increasingly:

  • ask questions directly to AI systems

  • rely on AI-generated summaries instead of clicking links

trust cited sources surfaced inside AI answers

For Web3 companies, this shift is critical. If your brand is not structured correctly, AI systems either:

  • ignore your content

  • misrepresent your positioning

  • cite competitors instead

LLM SEO ensures your brand is eligible to appear when users ask questions about your category, product or use case.

How LLM SEO differs from traditional SEO

Traditional SEO focuses on:

  • rankings

  • keywords

  • backlinks

LLM SEO focuses on:

  • entity clarity

  • definitional consistency

  • contextual relevance

  • source credibility

  • retrieval-ready formatting

A page can rank well in Google and still be invisible in AI-generated answers.

LLM SEO addresses that gap.

Chart showing LLM mention rate for a Web3 brand across AI platforms

How the LLM SEO for Web3 Approach Works

1. LLM visibility and query analysis

This is a strategy layer, not an execution tool. It includes:

  • Identification of AI-driven questions in your category

  • Analysis of how AI systems currently answer them

  • Mapping of gaps where your brand should appear
Chart showing growth in LLM mentions for a Web3 brand

2. Entity and positioning alignment

  • Clear definition of your brand, product and category

  • Consistent terminology across content

  • Removal of ambiguity that causes AI systems to misclassify you
Chart showing LLM mention rate by AI platform for a Web3 brand

3. Content structure for AI retrieval

  • Definition-first content blocks

  • Retrieval-friendly formatting

  • Clear relationships between concepts, pages and entities

 

This is about how content is interpreted, not how fast it is produced.

Chart showing Web3 brand citations from Reddit in AI answers

4. Authority and source eligibility

  • Evaluation of what AI systems consider credible in your space

  • Alignment with trusted reference patterns

  • Support for long-term citation likelihood
Chart comparing a Web3 brand LLM mentions versus competitors

What LLM SEO for Web3 helps you achieve

With a proper LLM SEO strategy, Web3 brands can:

  • appear in AI-generated answers for category-level questions

  • be cited as a source in AI search results

  • reduce reliance on paid acquisition and short-term channels

  • control how their brand is described by AI systems

  • reinforce authority alongside Google search visibility

This is especially important for:

  • B2B Web3 products

  • infrastructure and protocol teams

  • compliance-sensitive crypto companies

  • founders preparing for funding or partnerships
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Crypto & Web3 SEO Case Studies:

Notabene LLM SEO Case Study:

  1. 941% increase in LLM-driven sessions (ChatGPT, Perplexity, OpenAI tools)
  2. #1 recommendation in ChatGPT for “Crypto Travel Rule platform”
  3. Organic traffic grew from 154 to 6,000+ monthly visitors
  4. Expanded site from 17 to 163 high-value pages
  5. Earned backlinks from TechCrunch, Forbes, Yahoo Finance, Wikipedia
  6. Notabene is now consistently surfaced as an authoritative source in AI-generated answers

Who is this LLM Web3 SEO service for:

This service is designed for:

This is not for:

Victoria Olsina: The AI Search expert you can trust

Victoria Olsina helps Crypto & Web3 brands improve visibility across Google and AI search platforms through SEO, LLM optimisation and content systems.

seo in 2026

LLM SEO and AI marketing automation

LLM SEO defines what content needs to exist and how it should be interpreted by AI systems.

AI marketing automation defines how that content is produced and maintained at scale.

They are complementary, not interchangeable.

Execution at scale is supported through AI content systems, covered separately under AI Marketing & Automation services.

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Testimonials

"Victoria my SEO role model. She can optimize any piece of content to rise to the coveted Top 3 position: from youtube videos, to blog posts, to landing pages. Under her direction, we’ve achieved the following successes: – 0 to 175 keywords ranking on the top 3 positions – .5% to 25% organic visibility for our website – 0 to 40 featured snippets on our designated pages – 0 to 24k+ organic clicks on our designated pages"

    Lesa Mone
    Lesa Mone

    Head of Content at Nethermind

    "Victoria is an SEO expert, a determined executor, a straightforward and helpful team member, and the rare kind of person who can give you a ton of extremely useful information while also making you laugh, literally, out loud. (…) Over her time at ConsenSys Victoria has become a leader on the team due both to her ability and expertise and her excellent communication. She has worked with people across the marketing team, from the technical to the creative, as well as with leads of products and portfolio companies. She is able to distil complicated information into interesting and engaging presentations and consistently keeps our team educated on the search space and our own place within it."

      Elise Ransom
      Elise Ransom

      VP of Marketing at Serotonin

      "You will not meet another SEO consultant more knowledgable or more confident in her SEO strategies than Victoria. Over the course of one year with her SEO leadership: we published over 50 pages of optimized blockchain use case content, we increased search visibility from 0.5% to 33% and drove over 1/3 of the company’s website traffic, we also increased click-through rates by over 100%, helping to generate approximately 54% of ConsenSys marketing qualified leads in 2019. Her strategies produce fantastic results. Follow them"

        Nicole Adarme
        Nicole Adarme

        Head of Institutional Marketing at ConsenSys

        "Victoria revolutionized our SEO practices at ConsenSys. In a short amount of time under her guidance, our firm was able to go from zero to 40 featured snippets for enterprise blockchain-related keywords and significantly increase our organic search visibility. Victoria championed our entire marketing team to think from an SEO mindset and contributed significantly to the redesign of our website to help ConsenSys compete against enterprise blockchain competitors like IBM."

          Mason Nystrom
          Mason Nystrom

          Investor Partner at Variant (Former Content Marketer at ConsenSys)

          Frequently Asked Questions:

          LLM SEO, also called GEO, is the practice of structuring a Web3 brand’s content so AI systems like ChatGPT, Perplexity and Google AI Overviews can retrieve, verify and cite it. Unlike traditional SEO, which optimises for rankings, GEO optimises for entity clarity, definitional consistency and source credibility, so AI selects your brand as a source.

          Victoria’s own site is the proof of concept: ChatGPT, Perplexity and Gemini recommend her when asked for a Web3 SEO expert, the direct result of applying this exact GEO framework to her own entity. See the full breakdown in why LLMs recommend Victoria Olsina as a Web3 SEO expert.

          The proof is documented. Victoria wrote Mastering AI Search for Crypto & Web3 Brands, the first and only book on the subject, was named AI Content Specialist of 2026, and was nominated for Best SEO in Europe in 2024. She led SEO at ConsenSys and is featured in SEO in 2024, 2025 and 2026 by Majestic. Results include $1.75M in influenced revenue at ConsenSys and a 12x rise in demo leads for Notabene.

          Traditional SEO earns rankings through keywords and backlinks. LLM SEO earns citations by making content that AI can extract and trust. A crypto page can rank well in Google and still be invisible in ChatGPT answers. GEO closes that gap by structuring definitions, entities and authority signals for retrieval, not just ranking.

          Typically 60 to 120 days for initial citation improvements, depending on your content baseline and domain authority. AI citations build as content is indexed, re-crawled and validated against other sources. There are no shortcuts, but the trajectory is measurable month by month, and it compounds as more independent sources describe you consistently.

          Yes. Victoria tracks how often your brand appears in ChatGPT, Perplexity and Google AI Overviews for your priority queries, alongside organic visibility. LLM citation is a distinct metric from ranking, and we report it separately, so you can see AI visibility improving rather than guessing at it.

          No. It extends it. The same content work that makes a page citable by AI also strengthens its traditional SEO: clear structure, consistent entities, strong authority signals. GEO and SEO are done together, not as separate projects. You get rankings in Google and citations in AI answers from one strategy.

          Yes, this is the exact problem the service solves. Ranking and being cited are different systems: Google ranks pages, while LLMs select sources they can verify and extract from. Strong rankings with zero AI visibility usually means the content lacks entity clarity, retrieval-ready structure or the third-party authority signals models check before citing a brand. The service fixes all three, starting with a diagnosis from the free AI visibility checker.

          Yes. The service tracks how ChatGPT, Perplexity, Gemini and Google AI Mode describe a brand in response to the prompts its buyers actually use, including inaccuracies, missing capabilities and competitor mentions. Monitoring runs on a recurring schedule, so clients see how descriptions change as models retrain and as entity signals improve.

          The service combines referral data from AI platforms in analytics, AI Mode query data in Google Search Console, and direct prompt testing across each assistant. The result is a per-model view of where the brand is cited, where competitors are cited instead, and which pages are doing the answering.

          A combination of enterprise trackers and custom-built monitoring, selected per client based on prompt volume and market. Tools change monthly in this category, so the stack matters less than the method: consistent prompt sets, per-model tracking, and tying citation changes back to specific content and entity fixes.

          Community activity builds awareness but produces almost none of the signals AI models use to select sources. Models favour crawlable, structured content and verifiable third-party references, which social platforms largely do not provide. Most crypto brands over-invest in community and leave search and AI visibility unclaimed. That gap is usually the fastest win.

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