Startups are in the hardest position in AI search and the one with the clearest playbook, because almost everything that works for an established business is unavailable and the two things that remain are things a startup can actually do.
The problem, stated plainly
The models decide who to name using evidence a business is real, established and worth pointing someone at. A startup has none of that evidence yet, by definition.
You cannot fix it with content, because everyone has content. You cannot fix it with credentials, because you do not have a decade of them. The two routes that remain are the two below.
Route one: own a question nobody else answers
Established competitors write about the category. They rarely write about the specific, awkward, narrow question a new buyer actually has, because it is beneath the brand and it does not have search volume.
That question is exactly what a retrieval system is looking for: a passage that answers something specific in ordinary language.
A startup that owns fifteen genuinely narrow questions completely will be retrieved for all of them while the incumbent is retrieved for the category term nobody asks. It will not get you named as "best in category". It will get you named in the answer to a question your actual buyer asked, which converts better anyway.
Route two: publish something checkable
Original data is the fastest route from nothing to being mentioned in other people's content, and being mentioned in other people's content is what decides whether you get named.
It does not have to be large. A survey of two hundred people in your niche, a measurement of something in your category that nobody has counted, a public benchmark. What makes it work is that it gives a journalist or a blogger a reason to mention you that is about their article rather than about you.
This is the single highest-leverage thing a startup can do here, and it is available on a startup budget in a way that most alternatives are not.
What not to spend on
Volume content. Twenty generic posts a month is the incumbent strategy and you will lose it, because they have the domain history and you do not.
Paid links. The models are not reading low-quality link farms and the money buys nothing.
A big agency retainer, early. Most of what an agency does for a startup at this stage is content production, which is route-one work you can do better yourself because you know the niche.
Chasing your category's head term. "Best CRM" is contested by companies with a decade of citations. You will not win it this year and the attempt costs the year.
The order to do it in
- Complete every citation source that will have you. Registers, directories, review platforms, whatever your category runs on. Free, finite, and it is the evidence a model checks.
- Write fifteen narrow question pages. The ones your first customers actually asked you before buying.
- Publish one piece of original data. Then tell people about it, individually, for a month.
- Be present where your buyers argue. In the category we measure, Reddit is cited 225 times across 608 answers, ahead of every vendor website in the field.
Steps one and two are a few weeks. Step three is the one that compounds.
The realistic timeline
Six to twelve months before you appear meaningfully in category-level answers, and much sooner for the narrow questions in step two.
That is slower than paid acquisition and it does not stop when you stop paying. Which of those matters more depends on your runway, and it is a legitimate reason for some startups to defer this entirely.
When to skip it
If your buyers do not research before buying, or your growth is entirely product-led and viral, this is not your bottleneck. Run the twenty-minute test first: five buyer questions, logged out, and see whether anyone in your category gets named at all.
The startup-specific timing question
Most startup marketing advice is about doing things earlier than feels comfortable. This is one of the few areas where that instinct is correct, and for an unusual reason.
Answer engines build their picture of a category from what has been written about it. In a new or fast-moving category, very little has been written, which means the sources are thin and the barrier to becoming one of them is low. A year later, once incumbents and analysts have covered the space, the same position costs several times more effort.
The practical version: if your category is new, the highest-return work is not your website. It is being the source that explains the category, in the places engines already read.
What that means concretely. Publish the definitional content nobody else has bothered with. Get into the comparison pages and category round-ups while they are still short. Be present in the communities where the problem is being discussed, because in the data we measured, community sites out-cite every vendor website in the category.
What to skip. Volume content, paid link building, and anything measured in articles per month. None of it helps at this stage and all of it costs runway.
How fast this can move
“Customers were asking ChatGPT and Gemini for product recommendations in our exact category, and we weren't even in the conversation. Within three weeks of launching Omni Eclipse's AEO strategy, we were the most-cited brand in the space - ahead of long-established brands with far more online presence.
Fur Magic's customers were asking ChatGPT and Gemini for recommendations in their exact category while Fur Magic was not in the conversation. Three weeks later they were the most-cited brand in the space, ahead of long-established brands with far more online presence. Annie Belle Boutique went from invisible to recommended in almost half of relevant queries in six days.
Both are published with the starting number, the end number and the period: Fur Magic and Annie Belle Boutique.
A worked example
A seed-stage B2B startup in a category that barely existed eighteen months earlier.
The advantage they had and did not know about. Almost nothing had been written about their category. The comparison pages were short, the definitional content was thin, and the analysts had not arrived. Every source that would eventually decide the answer was still being formed.
What they did. Wrote the definitional piece nobody had written: what the category is, what it is not, and how to tell whether you need it. Deliberately not a product page. Got into two early comparison round-ups while those round-ups had four entries rather than forty. Answered questions in the one community where the problem was being discussed.
Total effort. About three weeks of one founder's time, spread across two months.
Where it landed. Named in a meaningful share of category answers within a quarter, including on questions about competitors, because the definitional piece was being cited as the source for the category itself.
The counterfactual that matters. Eighteen months later the same position would have cost several times the effort, because by then the round-ups were long and the definitional content existed.
What they skipped. Volume content, paid links, anything measured in articles per month. None of it would have helped and all of it costs runway.
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Ashur Homa
Built and scaled a digital brand to $100M+ in sales with zero ad spend. Has helped businesses generate millions through AI go-to-market strategy. Leads growth at Omni Eclipse.
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