Shoppers increasingly start with an AI assistant instead of a search results page. They ask for the best option for a specific need, and the assistant names a handful of products and stores. If your brand is not one of them, you never get the click.
Most ecommerce sites are built for browsing, not for being quoted. Product pages repeat manufacturer copy, category pages carry little text, and the details AI systems look for, such as materials, sizing, delivery, returns and real reviews, are scattered or missing.
Large catalogues make it harder. Hundreds or thousands of pages need consistent structure, schema and internal links, which is impossible to maintain by hand without a system.
This service designed for:
This is not for:
A review of how Google and AI assistants currently see your store: which products and categories appear in AI answers, which prompts name your competitors instead, and which technical gaps stop AI systems from reading your catalogue.
Category and product pages rewritten around how shoppers search and ask, with the specific details AI systems quote: materials, sizing, use cases, delivery, returns and comparisons.
Product, review, FAQ and organisation schema, faceted navigation control, internal linking and site structure set up so search engines and AI assistants can read every important page.
Brand-trained AI workflows that produce on-brand, compliant product, category and blog content at catalogue scale. The system built for Flora & Fauna cut content production time by 90% and creates a page in under four minutes.
A review of your current rankings, AI visibility and competitors, plus the products and categories that bring in your highest-value orders.
A ranked list of the category and product templates to fix first, chosen by revenue potential and how quickly each can rank and 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 organic revenue tracked monthly, with the approach extended to further categories 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)
AI assistants recommend products and stores they can verify: clear product pages with specific details, consistent information across your site and third-party listings, and genuine reviews and mentions on sites such as Reddit, review platforms and editorial buying guides.
Yes. Organic traffic keeps working without paying per click, and many AI answers draw on pages that already rank on Google. For brands that rely heavily on paid ads, SEO is the channel that lowers acquisition cost over time.
Specific, factual information they can quote: what the product is for, materials, dimensions or sizing, compatibility, delivery times, returns and real customer feedback. Vague marketing copy and duplicated manufacturer descriptions give them nothing to cite.
With a brand-trained AI system and clear review steps. Flora & Fauna’s system writes product, category and blog pages in the brand’s voice and checks them against its compliance rules, cutting production time by 90% while the in-house team approves every page.
Yes. AI assistants often cite community discussions and review sites when recommending products. Genuine, disclosed participation and authentic reviews help. Fake reviews or vote manipulation do not, and they breach consumer protection law.
Traditional SEO aims to win a position on a Google results page. AI SEO, also called GEO, aims to make your brand the one an AI assistant recommends when a shopper asks for the best option. The two overlap, but the selection criteria differ. Google weighs links and relevance across the whole page, while AI systems look for specific, quotable product facts, consistent information across independent sources, and real customer signals. For ecommerce brands, where shoppers increasingly ask assistants before they browse, being recommended matters as much as ranking. Victoria Olsina builds for both.
"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"