In April 2026, a four-day conference in New York gathered a room of marketers around one question: how a brand becomes the name an AI assistant repeats when someone asks for a recommendation.
The agencies worth watching in generative engine optimization are the ones answering it with something concrete, a published method, or a measurement tool a client can point to.
The seven below earn attention for what they have built rather than what they promise, and the differences between them say a lot about where AI search is heading.
What It Means to Lead in GEO Right Now?
Leading in this field has less to do with knowing that AI search matters and more to do with building for how unsettled it still is.
A page can rank first on Google and still never appear inside a generated answer, because fewer than 10% of the sources ChatGPT, Gemini and Copilot cite for a query also rank in Google’s top ten for it.
Ranking no longer proves an assistant will name you. Around 31.3% of the United States population is expected to use generative AI search during 2026, so the group of buyers who never see a non-cited brand is already large.
What makes the work genuinely hard is that the ground keeps moving under it. The set of sources an assistant pulls from can change for the same question within weeks, and one widely shared example saw Reddit fall from roughly 60% of ChatGPT’s cited responses to about 10% in a single month.
No agency can honestly sell a one-time fix against a target that moves like that. The shops making real progress responded by turning their approach into something repeatable, a named framework or a defined program, so the method holds even when the individual results reshuffle. That is the quality worth looking for, and it is the thread running through every name here.
Growing Search
Where nearly every shop folds its AI work under a single label, Growing Search keeps answer engine optimization, generative engine optimization, and AI optimization as three separate services.
That is the firm’s notable move, a decision most competitors avoided, and it reflects a plain reading of the problem, that being surfaced in a direct answer and being cited inside a generated one are related but separate jobs.
The team also built StakeView, an in-house tool that grades a brand’s standing on Google’s ranked results and inside generated answers alike, combining 37 separately weighted signals into one figure a client can watch as the two channels move month to month.
Working out of Toronto and Montreal, it revisits each client’s generative AI SEO as the sources an assistant favors reshuffle, which matters in a field where a citation earned in spring may not survive into fall.
iPullRank
Mike King’s iPullRank spent the year producing the reference material the rest of the field keeps quoting. Its AI Search Manual, published in May 2026, is the most technically detailed guide to earning AI citations that practitioners currently point to, and it put the firm in front of the conversation rather than reacting to it.
The thinking underneath is what King calls relevance engineering, which borrows from information retrieval science to explain why a model chooses one passage over another.
It treats AI visibility as an engineering problem with rules worth learning, and that framing has influenced how many newer agencies now describe their own work.
For a brand that wants to understand the mechanics rather than trust a black box, iPullRank has become the shop that shows its reasoning.
Single Grain
Eric Siu’s Single Grain took a different route by packaging the whole problem into one offer. Its Search Everywhere Optimization program treats Google alongside ChatGPT, Perplexity, Gemini and Claude as a single surface to plan for, so a client is not buying separate projects for search and for assistants.
The pitch answers a real frustration, that managing several discovery channels as several workstreams gets expensive fast.
What sets it apart is the commitment to one coherent workflow rather than a menu of add-ons. For a mid-market brand without the staff to coordinate several vendors, a single program covering both classic and AI search removes a source of overhead that drains a budget without anyone noticing.
The move is less about a new tactic than about a cleaner way to buy the work, which is its own kind of innovation when the alternative is a stack of disconnected retainers.
Optimist
Optimist is unusual among these shops for reporting money rather than visibility scores. For one business-to-business technology client, the agency reports 49 times growth in revenue from AI referrals over 14 months, alongside 26 times growth in referral traffic from the same sources.
Those are the agency’s own figures, and a reader should treat them as self-reported, but the choice to publish revenue at all is rare in a category that mostly trades in citation counts.
The angle matters because it reframes what the work is for. Tying AI citations to a revenue line, rather than to a dashboard number, forces a harder and more honest question. Does being named in an answer bring buyers who act?
That discipline is uncommon enough right now that it counts as a move in itself, and it sets a standard the rest of the field will have to answer.
Fortis Media
Fortis Media built its move as a standing service rather than a passing tactic. The agency runs a dedicated practice for large language model optimization, aimed squarely at making a brand discoverable inside ChatGPT and Perplexity across the different ways each tool gathers its sources. Keeping it as a named practice signals that the firm expects this demand to hold rather than fade.
The value for a client is focus. A team that works on assistant discoverability every day, across several platforms at once, notices the small platform quirks a generalist would miss, from how one engine weighs recent content to how another leans on community discussion.
That daily specialization is the firm’s clearest recent bet, and it is a sensible one in a discipline where the details change faster than any general guide can keep up.
WebFX
WebFX approached the same problem by folding it into a platform. Its OmniSEO system pursues citations across ChatGPT, Perplexity, Google AI Overviews, Copilot and Meta AI inside one workflow, so a client covers several answer engines without running a separate campaign for each.
The appeal is operational, since one system with one reporting view is easier to manage than five loosely connected efforts.
The trade to weigh is depth against breadth. A platform reaching many surfaces at once suits a brand that wants broad coverage and steady reporting more than one chasing a single high-value assistant.
WebFX has aimed its recent work at the former, betting that most clients would rather see all their answer engines in one place than run a boutique effort on each.
Searchbloom
Searchbloom, based in South Jordan, Utah, made its move by publishing a framework of its own. The firm built what it calls MERIT, a defined method for AI search optimization that gives its process a repeatable shape a client can follow and question.
Founded in December 2014 and a long-standing Google Premier Partner, it has a deeper track record in traditional search than most GEO-first shops, which shows in how it grounds the newer work in older fundamentals.
Publishing a named framework does two useful things at once. It commits the agency to a consistent method, and it hands a prospective client something specific to evaluate instead of a vague promise to handle AI.
That transparency is part of why the firm keeps appearing on shortlists for this work, even against shops that market themselves as AI-native from the start.
How to Tell a Real GEO Move From a Relabel?
The gap between these agencies and the many shops now adding AI to their homepages comes down to two things. Can the move be measured, and does it survive change? A published framework, a revenue figure, a working tracking tool, each shares one quality.
They name exactly what the agency does differently and give a client a way to check it later. A firm that only renamed its SEO page has nothing to point at when a client asks what changed.
So the useful question for anyone comparing options is simple to ask and revealing to answer. Ask what the agency built in the past year, then ask how it knows the method still works after the sources an assistant favors have reshuffled.
The shops named here can answer both, with an artifact and a way to track it. That ability, more than any single tactic, is what separates the movers from the crowd repeating the same vocabulary.
