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The Best AEO Agencies Helping Brands Win in AI Search
A growing share of buyer research now happens inside AI assistants rather than on a results page. Someone asks ChatGPT or Perplexity which vendors to consider, gets three names back, and shortlists from there.
If your company is not one of those three, you were never in the conversation. No impression, no click, no chance to compete.
Answer engine optimization is the discipline built around that problem. Below are five agencies working in the space, what each is suited to, and how to tell a real AEO practice from a rebranded SEO retainer.
AEO work tends to span five activities:
- Entity optimization, structuring information so AI models correctly identify what your company is and what it does
- Topical authority development, building enough depth on a subject that models treat you as a credible source
- AI visibility monitoring, tracking how often and how accurately your brand gets cited across different models
- Structured data and schema, making content machine-readable so systems can parse and quote it
- Digital PR and citation building, earning mentions on the third-party sources models draw from
The last one surprises people. Models cite what other credible sources say about you, so third-party coverage often moves visibility more than your own website does.
Minuttia is a B2B SaaS and technology specialist covering Google and AI search strategy, human and AI content creation, digital PR and agent analytics and reporting. The agency positions these as one connected system rather than services bought individually.
Its trajectory is worth noting because it explains the focus. The agency started in 2020 doing content production and SEO optimization, then shifted through 2024 and 2025 into adaptive content marketing with LLM and AEO work added to the core offer. The AEO practice grew out of existing search work rather than arriving as a separate bolt-on.
The ideal client profile is unusually specific. Minuttia states it works best with established B2B SaaS and tech companies showing $10 million or more in ARR, Series A or later funding, or growth trending upward.
It also looks for strong product-market fit, budget for content at scale and either a marketing team in place or one being hired. Minimum project size starts at $4,000.
Its Toggl engagement is documented in full, with 91 content pieces producing more than 7 million impressions over 15 months.
The agency also publishes its own AEO agency comparison of the market, a useful starting point if you want to see how it positions against others before you shortlist. Measurement is where most engagements prove value or fail to, and agent analytics and citation reporting sit inside its core scope.
The constraint is scope. The agency states it needs clients with product-market fit already established, and paid media sits outside its service list entirely.
NoGood is a New York growth agency founded in 2017, working with VC-backed startups and established brands across SaaS, fintech, healthcare and ecommerce.
Its model assigns each client a growth squad, a selected team drawn from across disciplines rather than a fixed account structure. AEO sits alongside paid search, organic social, lifecycle marketing, CRO and fractional CMO services.
That breadth is the point. If AI visibility is one channel among several you are trying to coordinate, a single agency running the full stack removes attribution arguments between vendors.
It is also the trade-off. A specialist will usually go deeper on entity work and citation building than a generalist covering twelve service lines. NoGood’s Clutch profile does not disclose a minimum project size, so budget expectations need establishing early.
First Page Sage claims one of the longest track records in this space, having started offering AEO-adjacent services years before most competitors recognized the shift was happening.
Their research team regularly publishes comparative studies evaluating dozens of AEO firms on client outcomes and technical execution.
Their methodology weighs client satisfaction, AI platform visibility, and technical implementation quality, giving them a data-driven reputation in an industry that still runs largely on unverified claims. That research-first approach appeals to enterprise clients who want evidence before committing budget.
Kalicube built its reputation on entity SEO long before AEO became a distinct category, which gives the agency a genuine head start on the technical foundation AI citation depends on. Their work centers on building a clear, unambiguous entity profile for a brand across the web.
That entity-first approach matters because AI models rely heavily on how clearly connected and consistent a brand’s information is across multiple sources. Businesses with messy or inconsistent entity data online tend to see the clearest gains from this specific specialization.
Omnius operates as a European B2B agency splitting its focus between traditional SEO and AEO for SaaS, fintech, and AI companies. Their pitch centers on maintaining strong performance across both traditional search rankings and newer AI citation channels simultaneously.
That dual focus suits companies not ready to abandon traditional SEO investment while still wanting a credible AI search strategy running in parallel.
It’s a pragmatic middle ground for brands hedging against how fast the search world keeps shifting, and it’s the kind of balance more answer engine optimization companies are starting to offer as the category matures.
Many agencies have rebranded existing SEO packages as AEO. These questions separate them quickly:
- Can they show a client’s citation share and name the prompt sets they track? If they cannot name specific prompts and platforms, they are measuring rankings and calling it something else.
- Do they report AI referrals separately from organic traffic? If AI traffic gets folded into organic, there is no way to demonstrate the work moved anything.
- Do they handle structured data as well as content? Content without schema gets cited inconsistently. A real program needs both.
- What is their client retention in this specific service line? AEO compounds over months, so short tenure is a warning.
- Can they walk through one complete engagement, from audit to measurable citation lift? This tests whether they have run the process or built a landing page for it.
The build-versus-buy question sits underneath all of this. Deciding when to outsource a capability rather than develop it internally depends on how core it is to your business and whether you can hire the expertise faster than an agency can deploy it.
The five agencies here differ mainly in scope. Two are specialists, two run full marketing stacks, and one is a boutique built around founder involvement.
The right choice depends less on capability claims than on two questions: whether you need AI visibility coordinated with other channels or run deep as its own program, and whether the agency can show you measurement that survives a CFO’s questioning.
1. What is the difference between AEO and GEO?
AEO focuses on how a brand appears in AI-generated answers such as AI Overviews and direct answer boxes. GEO covers generative systems more broadly, including chatbots, copilots and retrieval-augmented enterprise tools. The goals overlap heavily and many agencies use the terms interchangeably.
2. How long before an AEO program shows results?
Most agencies working in the space describe meaningful citation lift as a three to six month process, since authority signals compound rather than switch on. Treat any promise of faster results with caution.
3. Can we do AEO in-house?
Some of it. Schema implementation and content structuring are learnable, but citation building through digital PR and monitoring across multiple models at scale is where most in-house teams run short on capacity.
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