AI companies sell into the market that is changing fastest. Buyers increasingly ask an AI assistant to shortlist tools instead of scanning search results, and the assistant names three or four products. If yours is not one of them, you are not in the consideration set.
Most AI company websites make this harder. They describe the model, the architecture or the research, not the problem the product solves. AI systems cite sources that answer questions directly, define their category clearly and are confirmed by other sites. Search engines reward the same things.
Categories also move fast. New terms appear every month, and the companies that define them early become the default answer.
This service designed for:
This is not for:
A review of how Google and AI assistants currently see your company: which prompts name you, which name your competitors instead, and which technical gaps stop AI systems from reading your site.
Clear definitions of your category, product and use cases, structured as pages AI systems can extract and quote, plus comparison and FAQ content for the questions buyers ask before choosing a tool.
Schema markup, crawlability for AI bots, metadata, internal linking and site structure, so search engines and AI assistants can read and trust every important page.
Monthly content, optimisation and authority building, with regular testing in ChatGPT, Perplexity and Google AI Overviews to track where your product appears.
A review of your current rankings, AI visibility and competitors, plus the buyer prompts that matter most for your category.
A ranked list of the pages to build or rebuild first, chosen by commercial value and how quickly each can be cited.
Briefs, content and technical fixes, written in your company’s voice and ready for your team to review before publishing.
Rankings, AI citations and pipeline tracked monthly, with the approach extended to new use cases once the first pages perform.
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.
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SEO drove over $1.75M in influenced revenue from closed-won deals, with organic search responsible for 50% of all leads and top rankings for enterprise blockchain terms, ahead of IBM.
In less than a year, Victoria Olsina’s SEO strategy led to significant growth in organic visibility, revenue, and keyword rankings, surpassing major competitors like IBM.
Our client projected a 1,590% increase in organic growth, translating to an additional 123,703 organic leads and an estimated revenue boost of $700,000 over the next year.
We partnered with Bando: a Web3 payments protocol, to launch a programmatic SEO system powered by custom AI Marketing Agents trained on the brand’s voice and taxonomy. These agents generated over 200 landing pages covering chains, brands, countries, and use cases, designed to rank and convert.
In just 3 months, the results were transformative:
Organic traffic surged 308% vs the previous quarter
LLM sessions from ChatGPT doubled, driving new discovery
Top 10 rankings for top gift card products such as Roblox, Uber Eats, Amazon, Netflix, etc
This AI-powered system now scales content velocity while unlocking new SEO acquisition channels, across Google and LLMs.
A programmatic AI system produced more than 200 landing pages and grew organic traffic 308% in a single quarter, doubled ChatGPT-referred sessions, and earned top-10 rankings for major gift-card products.
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."
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"
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."
Investor Partner at Variant (Former Content Marketer at ConsenSys)
ChatGPT and other AI assistants recommend companies they can verify and quote. That means product pages that answer buyer questions directly, a clearly defined category, consistent company details across the web and credible third-party mentions such as reviews, listings and press.
Yes. Many AI answers draw on pages that already rank on Google, so SEO and AI search reinforce each other. Ranking for the questions buyers ask also captures demand from people who still search the traditional way.
Retrieval-based assistants such as Perplexity and ChatGPT with search can pick up well-structured pages within weeks. Becoming a default recommendation across models takes longer, typically six to twelve months of consistent content and third-party signals.
Clear definitions of the category and the problem you solve, with a direct answer in the first sentence. Add use case pages, comparison pages against alternatives and FAQ content, and make sure every page states what the product does in plain language.
Track a fixed set of buyer prompts across ChatGPT, Perplexity, Gemini and Google AI Overviews each month, recording whether your company is mentioned, cited or recommended, alongside traditional rankings and organic traffic.
Traditional SEO aims to win a position on a Google results page. AI SEO, also called GEO, aims to make your company the one an AI assistant names when someone asks for a recommendation. The two overlap, but the selection criteria differ. Google weighs links and relevance across the whole page, while AI systems look for self-contained answers they can quote, consistent facts about your company across independent sources, and signals of expertise they can verify. For AI companies, whose buyers are early adopters of AI assistants, being cited matters as much as ranking. Victoria Olsina builds for both, so the same pages win on Google and in AI answers.
"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"