AI SEO for the Next Era of Search
We help B2B startups get cited by ChatGPT, Perplexity, and Google AI Overviews — not just traditional blue links.
What you'll learn in this guide
- Why 94% of B2B buyers using AI tools reshapes how your company needs to be found online
- The three pillars of AI SEO: topical authority, technical signals, and off-site citations
- A proven 6-step playbook for getting cited by ChatGPT, Perplexity, and Google AI Overviews
- How to measure Share of Model — and what good looks like at 3, 6, and 12 months
- Why the window to build AI search authority is open now, and why early movers compound the advantage
What is AI SEO — and why does it matter now?
Traditional SEO was about ranking for keywords in Google's ten blue links. AI SEO — also called Generative Engine Optimization (GEO) — is about becoming the answer. When your buyer asks ChatGPT "what's the best B2B demand generation agency in Europe?" or asks Perplexity "how do I build topical authority for a SaaS company?", they don't get a list of links. They get a direct answer. The brands that appear in that answer have won the discovery moment. The brands that don't, have lost it — regardless of their traditional keyword rankings.
The mechanics of AI SEO are fundamentally different from classic search optimization. Keyword density matters far less than topical depth. Backlinks from irrelevant sites matter less than citation from authoritative industry sources. And technical signals that AI models use to evaluate trustworthiness — structured data, entity clarity, content comprehensiveness — are now the critical variables in whether your brand gets recommended or ignored.
This shift matters most for B2B companies, where buyer journeys are long, research-intensive, and increasingly conducted through AI tools. A CMO shortlisting agencies, a CTO evaluating software vendors, a VP of Sales deciding which tools to invest in — they're all asking AI assistants for recommendations. The opportunity and the risk are the same: be the brand that AI cites, or be invisible to a growing share of your potential buyers.
The AI search landscape in 2025
The shift from traditional search to AI-powered discovery is accelerating faster than most marketing teams realise. Here is what the data shows:
- 94% of B2B buyers report using AI tools at some point in their research process
- ChatGPT reached 800 million weekly active users in 2025, making it one of the most-used information tools in the world
- Gartner projects that by 2026, AI-powered search will reduce traditional search engine volume by 25%
- Google AI Overviews now appear in an estimated 15–20% of all searches, absorbing clicks that previously went to organic results
- 60% of all Google searches already end without a click — the zero-click era is here, and generative AI is accelerating it
For B2B companies, the urgency is compounded by the fact that AI citation patterns are still forming. The brands building topical authority and citation-worthy content today are establishing positions that will be increasingly expensive to displace. Webflow provides a concrete example: by systematically building topical authority and optimising for AI search signals, they grew their Share of Model in the website builder category from 1.2% to 60% — becoming the answer when buyers research the category across all major AI tools. That kind of compounding visibility advantage is available to every B2B company willing to act before the positions are locked.
We run an AI visibility audit — showing you exactly how ChatGPT, Perplexity, and Google AI Overviews describe your brand today, and who is capturing the category share you should be winning.
AI SEO built on three pillars.
Topical Authority Programme
We map your category's full topic landscape — every question your buyers ask, every concept they research, every comparison they make — and build content clusters that establish your brand as the definitive source. AI engines reward depth over breadth. A brand with ten exceptional articles on a focused topic consistently outperforms one with a hundred thin pages across many topics. We identify your highest-leverage clusters and build the content that becomes the go-to reference AI tools cite.
Technical AI Signals
AI search engines need to understand who you are, what you do, and why you're trustworthy — and they look for specific signals. We implement FAQ schema, Organization schema, and HowTo markup that communicates your authority directly to AI models. We optimise your entity profile so your brand name, products, and key people are clearly associated with your category across the web. And we ensure your site architecture makes your content easy for AI crawlers to accurately interpret and index.
Off-Site Citation Building
Third-party citations — mentions on credible industry publications, authoritative directories, partner sites, and review platforms — are among the strongest trust signals AI models use to evaluate brands. We build a systematic citation programme that places your brand's expertise on the sources AI engines reference most. Guest articles, expert commentaries, original research contributions, and strategic partnerships each add citation authority that makes your brand AI-recommend-worthy over time.
The AI SEO playbook.
Audit your current AI visibility
Before building, we establish your baseline. We run systematic prompts across ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot — covering your category, competitor names, use cases, and buying questions — to map how often your brand appears, how it is described, and who is capturing the category share you should be winning. This baseline shapes every decision that follows.
Build your prompt library
We develop 50–100 queries that represent your ideal buyer's full research journey — from early problem awareness ("how do I improve B2B pipeline quality?") through consideration ("what is the difference between demand generation and lead generation?") to late-stage decision-making ("best B2B demand generation agencies in Europe"). This prompt library drives every content and citation decision we make, and becomes the benchmark for measuring progress month over month.
Win the late-funnel SEO layer
High-intent queries — "[your category] agency", "best [your solution] for [your ICP]", "[your tool] alternative" — are the queries where AI engines deliver direct vendor recommendations. These are your most commercially valuable positions. We build highly optimised pages targeting these late-funnel terms, structured specifically for AI engine readability and citation, so your brand appears when buyers are closest to a decision.
Structure content for AI interpretability
AI engines prefer content that is clearly structured and directly answers questions. We audit your existing content library and reformat it — adding logical heading hierarchies, concise definition paragraphs, structured lists, and FAQ sections that make your content easy to parse, extract, and cite. New content is built following these principles from day one, simultaneously useful to human readers and optimally legible to AI models.
Build off-site citation authority
Guest posts on industry publications, expert interviews, original research contributions, association memberships, and strategic directory listings — each adds a data point that AI models use to assess your brand's trustworthiness. We run this as a systematic programme, targeting the specific sources that AI engines in your category reference most. Citation building compounds over time, and starting early creates a durable authority advantage.
Monitor Share of Model and iterate
We track your citation rate across AI engines monthly using tools including Profound and Ahrefs Brand Radar. You receive a monthly report showing which queries you appear in, how your brand is described, what share of your category's AI conversations you are winning, and where the next opportunities lie. This data drives the next cycle of content and citation work — a compounding improvement loop.
We've built AI SEO programmes for B2B SaaS companies, agencies, and tech scale-ups across Europe. Tell us about your category and we'll map the opportunity.
Senior talent. No layers.
Built for AI-first discovery
Traditional SEO agencies optimise for blue links. We optimise for the generative answers that are replacing them. Our entire methodology is designed around how AI engines evaluate, cite, and recommend brands — not retrofitting classic SEO thinking onto a fundamentally different problem.
Senior practitioners, not juniors
Every engagement is run by experienced marketing strategists who understand content, technical SEO, and AI systems. You are not handed to a junior associate after kickoff. The person who scoped the strategy runs the programme, makes the calls, and is accountable for the results.
Measurable citation growth
We report on Share of Model — your citation rate across AI engines relative to competitors — not just traditional rankings that don't reflect your AI visibility. You know exactly where you stand, how you are growing, and where to invest next. No vanity metrics.
Common questions.
An AI SEO agency optimises your website, content, and digital presence so your brand is cited by AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews. This includes building topical authority through deep, structured content; implementing schema markup and structured data; strengthening your brand entity signals across the web; and building off-site citations from sources that AI models treat as authoritative. The goal is to be the answer — not just a link — when your buyers use AI tools to research your category.
Traditional SEO focuses on ranking in Google's blue links using backlinks, page authority, and keyword optimization. AI SEO targets the generative answers that AI tools produce — the summaries, recommendations, and cited responses that increasingly replace traditional results. The signals AI engines use are different: topical depth, citation from trusted sources, entity clarity, and structured content. A brand can rank on page one of Google and still be completely absent from AI-generated answers — and vice versa. The two disciplines overlap but require distinct strategies.
A comprehensive AI SEO programme covers ChatGPT (OpenAI), Perplexity, Google AI Overviews (Gemini), Microsoft Copilot (Bing), and Claude (Anthropic). Each has slightly different retrieval and citation patterns — Perplexity cites sources explicitly, while ChatGPT synthesises from training data and browsing. Our approach builds the foundational signals that improve your visibility across all of them: topical authority, entity clarity, structured content, and credible third-party citations.
Technical foundations — structured data, entity optimization, content restructuring — can produce citation gains within 4–8 weeks, particularly in real-time retrieval tools like Perplexity. Topical authority from new content builds over 3–6 months as AI models index and begin referencing your pages. Off-site citation authority compounds over time. Most clients see measurable improvements in Share of Model within the first quarter, with accelerating gains in months three through twelve as the programme gains momentum.
Yes — traditional search volume is declining but not disappearing. Google still processes billions of queries daily, and organic ranking remains a valuable channel. The best strategy treats AI SEO and traditional SEO as complementary: deep topical content and strong domain authority help both. The key difference is that AI optimisation requires additional signals — structured data, entity authority, citation building — that classic SEO programmes typically neglect. We run integrated programmes that serve both disciplines, so your investment compounds across the full search landscape.
The primary metric is Share of Model — the percentage of relevant queries across AI engines where your brand is cited, tracked monthly against a defined prompt library. Secondary metrics include citation quality (how your brand is described — positively or neutrally), query coverage (how many relevant topics you appear in), and downstream signals like branded search growth and direct traffic increases that typically accompany improved AI visibility. We report all of this transparently every month.
Companies in categories where buyers research heavily before buying see the strongest ROI — software, professional services, marketing technology, HR tech, fintech, and similar. If your buyers spend time asking questions before they reach your website, those questions are increasingly being asked of AI tools. B2B SaaS companies, agencies, consultancies, and technology vendors with educated buyers and longer sales cycles are particularly well-positioned to benefit now, while citation patterns are still forming and early-mover advantage is available.
Ready to show up in AI search?
Tell us about your company and current search visibility. We'll map the opportunity and design an AI SEO programme built for your category and ICP.