Most SaaS sites grow the wrong pages. The blog gets the content budget and ranks for informational questions, while the product, comparison and integration pages that buyers use to choose a tool stay thin. Traffic grows; demos and trials do not.
Branded traffic hides the problem. When most organic visits come from people who already know your name, growth is capped by brand awareness, and competitors can intercept that demand with comparison pages and paid ads on your brand terms.
AI search raises the stakes. Buyers now ask assistants to shortlist tools, and the answer names three or four products. The SaaS companies that define their category clearly and publish quotable product facts become the default recommendation.
This service designed for:
This is not for:
Branded versus non-branded traffic, product page opportunity sized page by page, technical health and your share of AI answers against competitors, turned into a prioritised plan.
Product, comparison, integration, industry and use case pages built around how buyers choose tools. The strategy for Instantly sized this at +53,000 clicks a month.
Clear category definitions, product schema, FAQ content and structured data so Google and AI assistants understand what you sell and recommend it. This approach earned Notabene 40+ featured snippets.
Brand-trained AI workflows that produce product, comparison and blog content at scale, with your team approving every page. The system built for Mezo cut production time by 96%.
A review of your rankings, branded dependency, AI visibility and competitors, plus the product pages that bring in your highest-value sign-ups.
A ranked list of product, comparison and integration pages to build or fix first, chosen by pipeline value 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, demos and trials tracked monthly, with the approach extended to new 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.
Loading case studies...
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 tools they can verify: clear category and product pages, published pricing and features, comparison content, and consistent mentions on review sites, Reddit and YouTube. Vague, feature-light pages give them nothing to quote.
Product pages first. They match buyers ready to sign up and turn traffic into demos and trials. Blog content then supports them with topical authority and internal links. Notabene grew demo bookings 12x by building product-focused content before blog posts.
Template-based pages built at scale for comparisons, integrations, industries and use cases, such as “Product vs Competitor” or “Product + HubSpot”. They target buyers who are already comparing options, so they usually convert several times better than informational posts.
Early ranking movement usually shows in 8 to 12 weeks, with compounding traffic and pipeline over 3 to 6 months. Product page optimisation and technical fixes move fastest; new content and AI visibility build month by month.
Growth is capped by brand awareness, and competitors can intercept branded demand with comparison pages and paid ads on your name. A healthy SaaS site wins non-branded searches for the problems it solves, not just its own name.
Traditional SEO aims to win a position on a Google results page. AI SEO, also called GEO, aims to make your product the one an AI assistant names when a buyer asks for the best tool. The two overlap, but the selection criteria differ. Google weighs links and relevance across the whole page, while AI systems look for clear category definitions, quotable product facts, consistent information across independent sources and real customer signals. In SaaS, where buyers increasingly ask assistants to shortlist tools, 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"