8 Best AEO Agencies for Agentic AI Companies

One multi-agent memory project started this year with zero citations across five prompts in four major AI assistants, and 17 stars on its code repository. Six weeks of work on the forum threads those models already cited took it to 274 stars and 31,000+ package downloads. None of that started on a marketing blog.

That's the point most agencies miss about agent companies. Some of your most important evaluators never fill in a demo form. A developer asks a coding assistant which SDK to use for agent memory; the assistant reads a few docs pages and a repository; the decision is made before anyone sees your homepage. So answer engine optimization (AEO) works differently here. The model may not know your category exists. The buyer reads documentation before marketing pages. And the cited page is as likely to be a README or a forum thread as a blog post. (For the wider playbook, see SEO and AEO for agentic AI companies; for the definition, what AEO is.)

This shortlist judges agencies on engineer-written content, docs and repository work, and proof that holds up when the evaluator is a developer or an agent. Every entry gets a straight opinion and a "skip if." Sources are each firm's site, review profiles and public posts as of 15 Oct 2026; nothing was hired or tested. Some names also appear in the lists of AEO agencies for B2B SaaS and GEO agencies, judged on different tests.

TL;DR: the verdict

1. Miraa, if you sell an AI product to business teams and want SEO and AEO on one published plan from $2,500 a month. Its named Forge case logged 2,100 Google AI Mode citations for one client in Aug 2026.

2. Infrasity, if the person who approves your product is an engineer. Its MemClaw case is the most agent-specific proof we found anywhere.

3. Discovered Labs, if you're Series A+ and want an AEO-native team that can write for developers; Gladia's sales-accepted leads grew 7x in four months.

The rest: Draft.dev for technical content volume; NeuroSEO if your engineers can't touch rendering this quarter; Omniscient if your blog already drives growth; Graphite for research-grade measurement; LoudFace for site, SEO and AEO from one team.

At a glance

Where agentic AI companies struggle in AI search

1. The model doesn't know your category yet. If "agent observability" or "agent memory" didn't exist when a model was trained, it fills the gap with whatever it retrieves live. Whoever publishes the clearest definition and comparison pages tends to shape the answer.

1. Your buyer's agent reads your docs before your homepage. A developer may never visit your website at all, because their coding agent evaluates your tool first.

1. Legitimacy questions come early. For startups, people ask assistants things like "is [startup] legit," "who founded [startup]" and "how much has [startup] raised." (Progression Agency's startup AEO guide lists these prompt types.) If funding and team facts aren't easy to retrieve, the answer is vague or missing.

How we chose for agent companies

We checked every agency, Miraa included, for four signals:

1. Developer or AI-company focus: named DevTools, AI or infrastructure clients, or a stated focus on them.

2. Technical writers: content written by engineers, or a clear claim of engineering depth on the team.

3. Docs and off-site channels: work on documentation, GitHub, Reddit or community channels as well as the marketing blog.

4. AI-visibility evidence: a named or described result in ChatGPT, Claude, Perplexity or AI Overviews.

Each entry notes which signals are missing. Two names came up in research that we left out. Aggentic is an e-commerce product that helps merchants get ready for AI shopping agents, not an agency, and it solves a different problem. Progression Agency offers startup AEO but is a general agency, with no agent-specific proof on the page we reviewed.

Technical depth and proof compared

1. Miraa

Miraa is a generalist SEO and AEO shop for SaaS and AI companies. It doesn't specialize in developer tools or agent infrastructure, so on the checks above it meets the AI-company focus but not the engineer-writer or docs signals. If your buyer is an engineer, the specialists below fit better. Its natural territory is AI products sold to sales, marketing and ops teams, with generative engine optimization and LLM SEO in the same work.

Services

Miraa runs ten services:

• Product-led SEO: pages that explain what an AI product does, who uses it and how it connects to other tools.

• Content-led SEO: topic plans aimed at the questions business buyers ask before trialing an AI tool.

• Technical SEO: crawl, render and index fixes so both search engines and AI crawlers can read the site.

• On-Page SEO: reworking existing pages so the key facts are easy to extract.

• SEO Site Migration: holding rankings through a rebrand or domain change, which AI startups go through often.

• SEO Website Recovery: diagnosing and reversing traffic drops.

• AEO/GEO: getting cited and described accurately in AI assistants and AI search.

• Content Writing: written pages and articles from a senior team.

• Link Building: earned links and mentions through digital PR.

• Agentic SEO/GEO: AI agents used to research, publish and monitor search work.

Pricing

Miraa's three plans:

• Basic Growth: $2,500/month, including GEO and AI search visibility

• Growth+: $3,500/month, adds programmatic SEO, human-led content and lead magnets

• Hyper-Growth: $5,000/month, adds custom agent development and a revenue attribution layer

Reviews

Miraa doesn't have a Clutch or G2 review profile yet.

Clients

On the AI side, Miraa's client list includes Redora AI and Vibe, alongside Outcraft, Salesforge, Leadsforge and Upsolve. Miraa has four case studies (as of 15 Oct 2026), and only the newest names its client:

• Salesforge and four sibling cold-outreach products. Across the five domains, quarterly clicks rose 117.7% to 75,416 (Apr–Jun 2025 vs May–Jul 2026, Search Console). The study also lists developer-facing API guides for Salesforge, Warmforge and Infraforge, the closest thing in Miraa's record to docs-style content. On the AI side, Ahrefs data from Aug 2026 shows Salesforge cited 2,100 times in Google AI Mode, plus 618 times in Gemini and 388 in Perplexity.

• An unnamed ad platform built on AI, starting with no search footprint, reached $25K MRR in its first quarter with 45% of leads from organic content. GEO and on-page work are credited with Perplexity and ChatGPT placements for "AI ad optimization" queries within 60 days.

• Two other unnamed SaaS studies (LinkedIn automation and email automation) report 200+ qualified leads in 90 days and growth from $1M to $3M ARR in a year.

Summary

Miraa is the right first call when your buyer is a business team, not an engineer: it bundles SEO, AEO and links on a published price, and its newest study shows citation counts across three AI engines for a named client.

Be clear about the limits. Miraa doesn't claim engineer-written content, and none of its studies is an agent infrastructure or framework company. There are no Clutch or G2 reviews yet. And if you're a pre-seed agent startup, $2,500 a month may be better spent on your docs first. Early teams can read its startup SEO page.

Right for: AI-powered SaaS that sells to business teams.

Not right if: your buyer is a developer reading your docs and repo; start with Infrasity or Draft.dev.

2. Infrasity

Infrasity is a developer marketing and technical content agency, and the closest thing here to an agent-company specialist. Its site lists its primary focus as "DevTools, AI agent startups, observability platforms," and its target audience includes "AI agent platforms" and "Y Combinator companies."

Services

Its writers are "developers with 5-10+ years engineering experience." If your reader is a staff engineer who closes the tab at the first wrong claim about tool calling, that background counts. Services:

• technical content

• product and API docs

• developer relations

• Reddit marketing and GEO

Its guide to AEO for developer tools puts Reddit threads that models already cite at the center of off-site work. The team runs your buying prompts, maps the threads that get cited, adds grounded product comments to them, then runs the prompts again.

Pricing

No public rates. Because the work spans docs, blog and Reddit, the useful question is how budget gets split between them.

Reviews

Clutch shows 4.7/5 from 11 verified reviews. Two review headlines from the last 12 months (checked 15 Oct 2026): a Project Manager at a customer-conversion platform (28 Oct 2025), "Infrasity is constantly looking for ways to work more productively and be more optimized," and Realry's Affiliate Manager (16 Oct 2025), "Their adaptability and availability are also very impressive."

Clients

Infrasity's case studies (fetched summaries 15 Oct 2026) include:

• Brevo (email marketing platform): from a fragmented baseline to 80% LLM citation coverage across six high-intent buying prompts on ChatGPT, Perplexity and Google AI Overview. Infrasity mapped 66 cited Reddit threads, prioritized those cited by multiple models, and reports 53 of 66 postable threads now mention Brevo (case dated 9 June 2026 on Infrasity's site).

• MemClaw (multi-agent memory), in a case dated 8 July 2026: GitHub stars on the main repo went from 17 to 274 in six weeks, with 31,000+ package downloads. MemClaw started with zero citations across five prompts on ChatGPT, Claude, Gemini and Perplexity, and Infrasity targeted 78 Reddit threads those models already cited.

• A confidential AI gateway now "mentioned by ChatGPT, Claude, Perplexity, and Google AI Overview" (case dated 13 Oct 2026).

Summary

Infrasity is the specialist here. Writers with 5 to 10+ years of engineering experience and dated cases like MemClaw and Brevo make it the strongest fit for developer-led buying. Its newest Clutch reviews date from Oct 2025, and pricing is unpublished.

Right for: agent platforms, DevTools and infra startups that need engineer-written content.

Not right if: you sell an AI app to business buyers who never read docs.

3. Draft.dev

Draft.dev is a technical content agency that says it's "Trusted by 100+ tech companies" and works with "300+ subject matter experts." It has a dedicated AEO and GEO service for DevTools.

Services

If your bottleneck is shipping accurate tutorials, integration guides and comparisons quickly, a large bench of technical writers helps. It also publishes research on "which content strategies actually improve LLM visibility (and which are a waste of time)."

Pricing

Draft.dev scopes and quotes per engagement.

Reviews

We found no Clutch or G2 profile with reviews for Draft.dev.

Clients

No named AI-visibility result on the pages we reviewed; the site claims 100+ tech companies.

Summary

Draft.dev has the biggest bench of technical writers on this list. It's content-first, though, with no named AI-visibility result and no reviews we could find, so entity work and off-site mentions may need another owner.

Right for: teams that need accurate tutorials and integration guides at volume.

Not right if: you need someone to own AI-citation tracking end to end.

4. Discovered Labs

For agent companies, the useful part of Discovered Labs is its tooling and its developer-facing case work. It's a B2B AEO and GEO agency with an AI researcher among its co-founders.

Services

It has built two tools aimed at agent-era problems. The Agentic Browsing Checker tests how AI agents browse your site, and ModelRank checks whether your brand appears in AI training data. Content work for technical buyers is described in its Gladia case for audio AI APIs, which leans on developer content and Reddit.

Pricing

Published: from €6,995/month on a 6-month term, with month-to-month at a higher rate.

Reviews

Clutch shows 4.9/5 from 4 reviews. GetVocal's VP Marketing gave it the headline "Their willingness to experiment and try new things was impressive" (24 Aug 2026).

Clients

Two results relevant to technical buyers:

• Gladia (audio AI APIs): sales-accepted leads grew 7x in four months, and LLM citation rate rose ninefold. Its Head of Marketing, Anna, is quoted: "There are very few agencies in this space that could help us with the kind of technical content that we have. It's not just B2B, it's also developer marketing."

• incident.io (Series B): co-founder Liam Dunne posted on X on 25 Aug 2026 that in the first four months "organic meetings booked grew 22%, their AI share of voice is up 62% and top 3 Google rankings are up 97%."

Summary

Discovered Labs has the best measured results for a technical company here: Gladia's 7x sales-accepted leads and a ninefold citation rate. Its rates are published, but start near €7,000 a month, and it serves B2B broadly.

Right for: Series A+ AI companies that want an AEO-native team.

Not right if: you're pre-seed, or need developer examples beyond Gladia.

5. NeuroSEO

NeuroSEO describes itself as "boutique, full-cycle SEO & GEO for English-speaking SaaS and AI companies."

Services

Its GEO page flags a problem common on AI startup sites: "Content locked behind heavy JavaScript or blocked user-agents is simply never seen" by AI crawlers. Because its developers are in-house, it says it can "implement changes ourselves when your engineering roadmap is full."

Agent products often ship docs sites and changelogs as client-rendered apps. If GPTBot, ClaudeBot or PerplexityBot see a blank shell, prompt tracking won't help.

Pricing

Pricing wasn't on the page we reviewed.

Reviews

We found no Clutch or G2 profile with reviews for NeuroSEO.

Clients

The page we reviewed names no AI client.

Summary

NeuroSEO solves a specific, common problem: docs and changelogs that render as a blank shell to AI crawlers. Its in-house developers ship the fix. It names no AI client and has no reviews we could find.

Right for: AI startups whose engineers can't touch rendering this quarter.

Not right if: your site already renders cleanly and you need content.

6. Omniscient Digital

Omniscient Digital is an organic growth agency for B2B software. Answer engine optimization ("Get recommended by LLMs") sits on its homepage next to SEO strategy and programmatic SEO.

Services

Content-led SEO and AEO. It fits agent products sold to business teams better than ones sold to engineers.

Pricing

Not published.

Reviews

Clutch shows 4.8/5 from 6 reviews. March 2026 review headlines praise "research-backed direction" and an "experimental approach."

Clients

Two homepage case studies:

• OnBoard "becomes #1 most visible brand in AI search with + 88% AI visibility"

• Convert "grew LLM Visibility 81% and AI Citations 140% in 60 days"

None of the cases we saw involve DevTools or agent infrastructure.

Summary

Omniscient's AI-visibility cases (OnBoard, Convert) are real, but none involves a developer-facing product.

Right for: AI companies whose blog is already the growth channel.

Not right if: your evaluators are engineers reading docs and repos.

7. Graphite

Graphite calls itself "a research driven growth agency." Its homepage says its AI research team helps companies "like Webflow, n8n & Hinge Health" grow. For an agentic AI buyer, n8n, the workflow automation platform, is the relevant name there.

Services

Its AEO service starts where agent buyers ask questions. Prompt research draws on "sales calls, Reddit threads, help center questions and more," and an off-site and Reddit strategy targets "the publishers, communities and citations influencing your money prompts." It also layers manual, logged-in tracking on top of tool data for the prompts that matter most.

Pricing

Graphite keeps prices off its site.

Reviews

We found no Clutch or G2 profile with reviews for Graphite.

Clients

Webflow "2x'd Sign-Ups from LLMs," with "94% share of voice growth from LLMs" (case dated January 2026). Graphite's June 2026 research on n8n found about 9% of conversions credited to AEO by survey against about 1% in GA4, but it doesn't present that as a result of its own work.

On X on 14 Oct 2026, @RickElmore44 summarized Ethan Smith's Reforge talk: "self-reported AI attribution was 10x last-touch from direct/referral." For agent products, where a coding agent may evaluate you without a click, expect that undercount.

Summary

Graphite measures better than almost anyone, with prompts drawn from sales calls, Reddit and help-center questions, and its n8n research is useful for any AI company. It doesn't say engineers write its content.

Right for: AI companies that want AEO run like research, with a fixed benchmark.

Not right if: your buyer judges you on code-level accuracy.

8. LoudFace

LoudFace is an organic growth agency for B2B SaaS and fintech that runs the website, SEO, AEO and content as one program. It has a dedicated page on SEO for AI startups.

Services

Its AI-startups page is written for companies that sell "a model, an agent, or an AI-first application," and it covers the pages those buyers' legal, security and engineering reviewers look for (data training and retention, evaluation results, documentation). It also reads server logs to see which AI crawlers actually reached your pages, alongside visibility tools.

Its SEO and AEO page promises "8 to 12 off-site placements a month" and guest posts on high-authority publications, so ask how those are earned.

Pricing

Engagements start from $5,000/month, with a 3-month minimum for fixed-scope work.

Reviews

Its homepage shows 4.8 on Clutch from 2 verified reviews and 4.3 on Trustpilot from 9. The two Clutch review headlines (both 2 Sep 2026): Genie's Co-Founder & CTO, "Working with LoudFace has been refreshing; we were surprised by their passion," and Transalis's Co-Founder, "LoudFace met every deadline or before every deadline and was super responsive."

Clients

• Toku, a stablecoin payroll platform, appeared in 97.8% of AI answers for "best stablecoin payroll providers," tracked in Peec AI.

• Among AI-native clients, LoudFace says Pond, an AI workforce marketplace, tripled its AI visibility from a near-zero base in the first four weeks.

Toku isn't an AI company. LoudFace says its third AI-native client, Eraser, has no published AI-search figure.

Summary

LoudFace covers the pages enterprise AI buyers check (data training, retention, evaluation results), reads server logs for AI crawler visits and publishes a $5,000 floor. Its strongest AI result, Toku, isn't an AI company, and promised off-site placements need scrutiny.

Right for: AI startups that want the site, SEO and AEO from one team.

Not right if: you need developer-marketing depth.

Docs, GitHub and Reddit: the citation surfaces agent buyers actually use

For a CRM or marketing SaaS product, the citation graph often runs through review sites, comparison blogs and LinkedIn. For agent and DevTools products, the surfaces that show up in the cases above are different:

• Docs and READMEs. If a coding agent evaluates your SDK, the install page and API reference have to be public, crawlable and accurate. Gated docs cannot be cited. NeuroSEO's crawler warning and LoudFace's server-log check both start here.

• GitHub. Infrasity's MemClaw case treated stars, package downloads and directory placements as adoption signals alongside LLM prompts. Models retrieve GitHub when buyers ask "best library for X."

• Reddit threads models already cite. Infrasity (Brevo, MemClaw) and Discovered Labs (Gladia) both describe working the threads that ChatGPT and other models pull into answers. Infrasity's Brevo case found 66 cited threads across six prompts.

• Category and comparison pages. When a model has no memory of your niche, one clear page that defines the category and how you compare still matters. See the comparison pages guide.

If an agency's AEO pitch for an agent product only mentions blog rewrites and schema, ask which of these four surfaces it will touch in the first 90 days.

Fix these yourself first

A few items on this list don't need an agency at all. Sort them before you spend anything:

• AI crawler access. If your docs or homepage render only in JavaScript, crawlers may see a blank page. NeuroSEO raises this, and Miraa's technical SEO page covers rendering fixes.

• Public, indexable docs. Gated docs can't be cited.

• A plain category page. One page that says what the category is, who it's for, and how you compare. Write it before a model writes it for you.

• Consistent company facts. Founders, funding and pricing should match across your site, Crunchbase, GitHub and launch pages.

If you're evaluating agencies for an agent product, watch for these

Agent companies get pitched by a lot of agencies that have rebadged SaaS playbooks. These are the warning signs that the playbook won't survive contact with a technical buyer:

• Ask who writes a tutorial on tool calling or agent memory, and what they've built. If the answer is a generalist writer with an AI assistant, your developer audience will notice the first wrong claim.

• If the proposal is all blog posts and schema, it misses where agent buyers and coding agents actually read. Ask which docs pages, READMEs and package listings the agency will touch.

• Infrasity and Discovered Labs describe working specific threads that models already cite, with grounded product comments. "Ten Reddit posts a month" is a different thing, and communities punish it.

• A consumer brand's AI visibility gain says little about how an agency handles an SDK launch. Ask for a developer-facing or AI-infrastructure example.

• If an agency promises a number of placements a month, ask how each one is earned and whether anyone is paid.

• When a coding agent evaluates your tool, there may be no click at all. Graphite's attribution research points at the undercount. Ask how the agency will track adoption signals such as installs, stars and signups alongside citations.

• If your category name is new, the agency should have a plan for defining it in public. If it only targets existing keywords, it's working last year's map.

Questions for the first call:

1. Who will write our technical content, and can I see something they've written for developers?

2. Which surfaces will you touch in the first 90 days: docs, repos, forums, comparison pages?

3. How do you measure visibility when the evaluator is an agent and nobody clicks?

4. What did you change for a previous AI or DevTools client, and what moved?

What good proof looks like for an agent company

Because so few agencies have agent-specific results, it helps to know what convincing evidence would look like. The strongest cases on this list share three traits. They name the client and the category, as Infrasity does with MemClaw and Discovered Labs does with Gladia. They show a before-and-after on a fixed set of prompts, across named engines. And they pair citations with an adoption signal a founder actually cares about: repository stars, package downloads, sales-accepted leads or activated users.

If an agency's best example is a consumer brand's "AI visibility score," treat it as a sign of general competence, not of fit.

How to choose: start with who buys

If you build agent infrastructure or frameworks, your buyer is a developer and often their coding assistant. Pick Infrasity, or Draft.dev if volume is the bottleneck. Docs, code examples, package listings and community threads matter most.

If you sell an agent platform to technical teams who compare you with open-source options, pick Discovered Labs for AEO, and add NeuroSEO if your docs don't render for AI crawlers.

If you sell AI agents to sales, support or ops leaders, they ask assistants about outcomes, pricing and alternatives like any SaaS buyer. Pick Miraa, or Omniscient if your blog already drives growth.

If enterprise buyers send legal and security questionnaires about data training and retention, pick LoudFace, whose AI-startups page is written for those reviewers.

If leadership wants proof that AI answers drive sign-ups, pick Graphite.

Work out which of these describes most of your revenue before you take calls. It cuts the list in half.

A realistic first quarter

Agencies will describe their process differently, but a sensible first 90 days for an agent company tends to follow the same order. Use it to compare proposals.

In month one, set the baseline and fix access. Agree a list of buying prompts with the agency, including the questions developers and coding assistants ask ("best framework for multi-agent workflows," "how to add memory to an agent"). Record what each engine says today. In parallel, confirm that docs, changelogs and key pages render for AI crawlers and aren't gated.

Month two is about the source pages. Publish or rewrite the pages models need to describe you: a clear category definition, comparison pages against the tools you're evaluated against, and docs pages that answer setup questions in plain text. This is where engineer-written content matters most.

By month three, the work moves off-site and into measurement. Work the community threads and directories that already show up in answers, then re-run the same prompt set. Alongside citations, look at installs, repository activity, signups and the "how did you hear about us" field.

If a proposal jumps straight to month three, it's skipping the pages that make off-site work stick. If it never reaches month three, it won't move how models talk about you.

Choosing

AEO for agentic AI is early. Few agencies have more than a handful of results, and tactics will shift as coding agents change how they pick tools. Weigh technical depth above a polished deck. Developer buyer: Infrasity or Draft.dev. Business buyer: Miraa, or another AEO generalist such as Discovered Labs.

Related reading

• SEO and AEO for agentic AI companies

• What is AEO?

• AEO agencies for B2B SaaS