If someone asks ChatGPT, Gemini, or Google's AI Overviews who solves their problem and you're not the answer, you've lost the deal before your site ever comes up. That's why we treat AI Search Optimization (AEO/GEO) as the next layer of SEO: track what your buyers actually ask, see what gets cited in response, and build the presence that earns it, tied back to the leads it produces.
Noa NotesB2B SaaS · digital health platformNoa Notes, Jameda's AI assistant for clinical documentation, is part of Docplanner's platform for doctors and patients.
First 6 monthsB2B or B2C, your buyers now ask an AI about your category before they ask you.
Whether it's a buying committee comparing vendors or a shopper comparing products, everyone checks ChatGPT or Gemini first, before they ever reach you.
Google's AI Overviews and AI Mode sit inside the results people use every day. That's the default now, not an option to opt into.
A consumer-facing bank or insurer meets the same AI-driven research habits as any B2C brand, just at far bigger scale.
It rarely looks like a dramatic drop. You lose the recommendation moment first, a discovery-layer gap that isn't a line item you can defer.
AI Search Optimization, AEO or GEO, is full-service: we map what your buyers actually ask, check that AI crawlers can reach your pages, build the content they lift into answers, and go off-site wherever those prompts point.
AEO or GEO, whichever name you use, it's a full-service approach: prompts, on-site content, and off-site presence.
Let's talk about your AI visibility →Search volume barely matters. We build a prompt set from sources like real sales calls, interviews and reviews, expanded into the fan-out queries an engine generates on its own.
AI crawlers need to reach, render and parse your site. If something's blocking that, page speed, markup, or schema, we fix it.
Your website is the surface you control. We structure it around answer capsules that answer one question directly, the unit engines lift into a response.
Review platforms, LinkedIn, Reddit, or YouTube, whichever an engine cites in your category. Which one matters is a finding from your data, never a default.
We track your AI visibility score just as closely as the leads it produces, since looking at only one tells half the story.
Niklas Buschner hosts Masters of Search, more than 45 episodes with operators in AI Search and SEO. What they say feeds directly into how our team runs accounts.
Both, honestly. We think of them as two gears turning together, not two separate services. SEO fundamentals, being the best answer on the open web, are the base gear. Turn it, and it drives a second one: whether ChatGPT, Microsoft Copilot, Gemini, and Google's AI Overviews cite you for the question you'd want to own. On top of that sit a handful of initiatives built specifically to turn that AI-visibility gear faster: a real, validated prompt set, tracked to see which sources actually get cited, then work placed exactly where those citations land, whether that's your own site, a YouTube video, or a review platform. AI Search is grounded in fundamentals we've run since 2013, technical health, genuinely being the best answer on a topic. But it also opens surfaces SEO never had to touch on its own, and comes with an attribution problem SEO never had either, since last-click reporting simply doesn't see an AI recommendation. Anyone who tells you it's identical to SEO, or a completely separate discipline, is oversimplifying to sell you something.
Yes, and it's a focus we're actively growing. Large organizations research differently: several people across a buying committee independently ask the same category question, not just one champion, so visibility has to hold up across all of them, not a single journey. We work alongside whatever internal team or agency of record you already have, inside your existing tools and approval process, rather than asking you to route everything through us. The one thing that doesn't change with company size: we still commit to a concrete goal and report against it the same way.
A senior team, the whole way through. There's no senior-in-the-pitch, junior-in-delivery handoff here: a senior strategist owns your account from day one, works inside your own Slack or Teams, and stays hands-on for as long as we work together. The same senior person builds your prompt set and reads the results, not a junior translating it back to you afterward.
It's part of the same Growth Partnership retainer, starting at €7k a month. We don't think SEO and AI Search should be split into separate line items, since the work genuinely overlaps. For something narrower, a YouTube optimization push, say, we also run fixed-scope projects instead, priced separately and over a shorter, one-off timeline rather than an ongoing retainer.
Not much in practice. Answer Engine Optimization and Generative Engine Optimization are two names for the same shift: getting cited inside an AI-generated answer instead of ranking a blue link. Both also point at the same underlying mechanic, an engine expanding your buyer's question into several fan-out queries and pulling sources for each one. We use "AI Search" as our umbrella term because it's what buyers actually type into Google, but we track the same thing whichever label you prefer.
ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, and Google's AI Overviews and AI Mode, tracked through an AI visibility tool, but the mix always follows where your buyers actually search. A company whose customers live in the Microsoft ecosystem is far more likely to ask Copilot than Perplexity, so Copilot gets weighted accordingly. A consumer brand with a younger audience often sees more volume in Google's AI Overviews and ChatGPT than anywhere else. We read that from your own prompt data rather than assuming one engine matters more than another.
Faster than classic SEO in some cases, and that's the real difference. A content plan can take months to show up in Google rankings, and that's fine, it's exactly why we still run SEO: once a page ranks, it tends to keep earning for years. AI Search doesn't always follow that same timeline: when our client Heyflow's existing YouTube videos got new titles, descriptions and chapters, citations started climbing within days on content that had been sitting untouched for years. Other moves take longer to compound, our client deeploi's AI Search visibility went from 0% to about 20% over four months, and Heyflow's overall visibility climbed from single digits to over 50% across six months. It depends on how much trusted content and off-site presence already exists, and the biggest early wins usually come from work you've already done that nobody optimized for AI Search yet.
No, and anyone who promises a 100% guarantee on a ranking or visibility score is selling you something, not measuring it. What we do instead: before any engagement starts, we run a completely free strategy session using your own live data, current visibility, competitors, and where you actually stand today. Based on that status quo, our experience with similar accounts, and the specific initiatives we plan to run, we define a concrete goal for what we'll reach by a set point in the partnership, and we commit to it. We can't guarantee the outcome, nobody honestly can, but we throw everything we have at hitting it, and we stay transparent about where we stand against it the whole way through.
Alongside it, on the same team, from the same content. The work that earns rankings in Google is largely the work that earns citations in ChatGPT and Perplexity: a technically sound site, genuinely useful content, and a clear answer to the question someone's actually asking. Where the two diverge is the off-site layer, the review platforms, YouTube, and community threads AI engines lean on more heavily than classic search results ever did.
Yes, wherever the data says that's where the citations actually are. We don't run all four for every account by default. We read your prompt data first, see which sources these engines are actually pulling from in your category, and act on whichever combination, a review platform like OMR Reviews, an existing YouTube library, LinkedIn, Reddit, or outreach into the roundups your buyers already read, genuinely shows up in the answers.
