Aug 8, 2026

Which AEO Agencies Are Repeatedly Cited by AI Answer APIs in 2026?

A dated citation-source audit of agencies named by the OpenAI Responses API, Gemini grounded API, and a manual Claude web-search check for two buyer queries. Webappski is disclosed, appears in none of the six measured cells, and ranks eighth.

Which AEO Agencies Are Repeatedly Cited by AI Answer APIs in 2026?

Minuttia ranked first in our dated AEO agency audit, appearing in four of six API or manual-search answer cells. First Page Sage followed with three; Discovered Labs, iPullRank, Siege Media, Omniscient Digital, and Rock The Rankings each appeared twice. Webappski appeared in none and ranks eighth. This is a citation audit, not a claim of universal quality.

Most “best AEO agency” pages rank the publisher first. We used a different evidence base: the names and URLs returned by three answer engines for two commercial buyer questions on 31 July 2026. We then checked the shortlisted providers against their own live service pages on 5 August 2026. That makes this a snapshot of recommendation visibility and service fit, not a permanent league table.

Disclosure: Webappski publishes this comparison and sells AEO services. To keep that conflict visible, Webappski receives no editorial bonus: it was absent from all six measured answer cells and is ranked last. The public comparison record and exact method appear below; the full raw provider responses remain an internal audit artifact.


What is an evidence-based AEO agency comparison?

An evidence-based AEO agency comparison separates observed AI recommendations from agency-authored claims.

Answer Engine Optimization (AEO), also called Generative Engine Optimization (GEO), is the practice of making a brand understandable, retrievable, and citable in generated answers. An AEO agency should therefore be assessed on two distinct questions: does it appear when buyers ask an answer engine for help, and does its public service evidence support the fit the engine describes?

The first question is observational: an engine named the provider or it did not. The second is verification: the provider's own site states its audience, method, measurement, deliverables, or pricing. We do not convert self-authored case-study numbers into independent proof, and we do not infer an undisclosed price.

How did we rank the agencies?

We ranked agencies by recurrence across six answer cells, not by who made the strongest marketing claim.

  1. On 31 July 2026, the same two prompts ran through the OpenAI Responses API (gpt-5.4-mini), the Gemini grounded API (gemini-3.6-flash), and a manual Claude web-search check: best Answer Engine Optimization agencies 2026 and Answer Engine Optimization consultants for B2B startups.
  2. The denominator was six engine-query cells: two prompts multiplied by three engines. A provider earned one appearance per cell in which it was named, regardless of its position inside that answer.
  3. To enter the main shortlist, a provider had to appear in at least two cells and have a live first-party page supporting an AEO/GEO or broader AI-search service.
  4. Ties were broken by appearance across more distinct engines, then presence on the B2B-startup query, then a live service page with clearer scope or pricing, then alphabetically.
  5. Webappski was added outside the eligibility rule as a disclosed publisher benchmark and placed last because it appeared in zero cells.

The two API legs ran on aeo-platform, an MIT-licensed npm package we publish; the Claude leg was a manual web-search check, since Claude has no public grounded-search API to call. The same tool measured Webappski's own zero above — naming it here is a disclosure, not a pitch. Answer engines are non-deterministic: re-running these two prompts will not reproduce these exact six cells, but the method — direct API calls, saved raw responses, no scraping — is what's reproducible.

{
  "date": "2026-07-31",
  "queries": [
    "best Answer Engine Optimization agencies 2026",
    "Answer Engine Optimization consultants for B2B startups"
  ],
  "surfaces": ["OpenAI Responses API", "Gemini grounded API", "Claude manual web-search check"],
  "cells": 6,
  "recurrence": {
    "Minuttia": 4,
    "First Page Sage": 3,
    "Discovered Labs": 2,
    "iPullRank": 2,
    "Siege Media": 2,
    "Omniscient Digital": 2,
    "Rock The Rankings": 2,
    "Webappski": 0
  },
  "disclosure": "Derived public comparison record; full provider responses retained internally."
}

This derived comparison record shows the real recurrence used for ranking. It is deliberately narrow: one date, two prompts, and three engines. Results can change with model versions, retrieval indexes, location, and wording, so buyers should repeat the same prompts before signing an agency.

This snapshot is English-only by design: the comparison targets English-language buyer queries, so both prompts and all six cells ran in English. The same day's broader self-measurement basket also carried agency-visibility queries in German, Polish, and Russian; one Polish query returns an almost entirely different provider population, and a Gemini answer within it does cite webappski.com — a real result this narrower two-query English scope excludes on purpose, not by omission.

Which AEO agencies ranked highest in this audit?

Minuttia led this six-cell snapshot, while Webappski ranked last, eighth of eight.

1. Minuttia — broadest cross-query recurrence

Minuttia appeared in four of six cells: both Gemini answers and both Claude answers. Its live site says it helps brands win visibility from Google to ChatGPT, while its AEO roundup describes Google and AI Search Strategy, content, digital PR, and agent analytics as one growth system. Minuttia's official site supports a broad AI-search positioning rather than an AEO-only engagement.

  • Observed fit: strongest recurrence across both broad-agency and B2B-startup prompts.
  • Public service evidence: integrated Google and AI-search strategy, content, digital PR, and reporting.
  • Best for: established B2B SaaS or technology teams that want AI search integrated with a mature content program.
  • Verify before buying: ask which deliverables are specific to AI citations rather than shared with the SEO/content program.

2. First Page Sage — recurrent research-led option

First Page Sage appeared in three of six cells: both broad-agency answers from Gemini and Claude, plus Claude's B2B-startup answer. Its live 2026 comparison explains a weighted evaluation model covering reviews, AI visibility, implementation, content strategy, and client portfolio. Because that ranking is First Page Sage's own research, we treat it as transparent methodology, not independent validation. Read its published method.

  • Observed fit: recurring broad-market visibility with one B2B-startup appearance.
  • Public service evidence: research-led AEO combined with technical implementation and thought-leadership content.
  • Best for: established B2B organizations seeking a content-led, lead-generation-oriented program.
  • Verify before buying: request the raw observations behind any proprietary visibility score and a client-specific measurement denominator.

3. Discovered Labs — strongest tie-break on engine diversity

Discovered Labs appeared in two B2B-startup cells across two distinct engines: Gemini and Claude. Its official service page states that it samples buyer prompts, tracks share of voice and citation rate, produces citation-structured content, and works on third-party sources and technical readiness. The live AEO service page is unusually specific about measurement and deliverables.

  • Observed fit: the only tied provider appearing for the startup query across two engines.
  • Public service evidence: prompt sampling, citation rate, share of voice, content, digital PR, and technical work.
  • Best for: B2B SaaS teams that want a managed content-and-distribution program with AI visibility measurement.
  • Verify before buying: separate independently reproducible results from testimonials and agency-defined confidence measures.

4. iPullRank — enterprise relevance engineering, no B2B-startup hit

iPullRank appeared in two of six cells: the broad-agency answer from both Gemini and Claude, but neither B2B-startup answer. Its live site positions the agency around what it calls relevance engineering — blending AI, information retrieval, content strategy, digital PR, and UX — alongside a dedicated generative engine optimization (GEO) service, with case studies in financial services, e-commerce, and mortgage lending. iPullRank's GEO service page does not publish pricing.

  • Observed fit: tied for engine diversity with Siege Media and Discovered Labs, but absent from the B2B-startup query both times it appeared.
  • Public service evidence: relevance-engineering methodology, a dedicated GEO service, enterprise client roster.
  • Best for: enterprise or mid-market teams that want AI search folded into a broader information-retrieval and content-strategy program.
  • Verify before buying: ask how relevance engineering differs in deliverables from a standard technical SEO or content audit, and request pricing directly — none is public.

5. Siege Media — full-service GEO, no B2B-startup hit

Siege Media appeared in the same two cells as iPullRank: both broad-agency answers, neither B2B-startup answer. Its live GEO service page combines digital PR and data journalism with a recurring content-refresh process and bottom-funnel content, across industries including SaaS, fintech, and healthcare. Its live site's published case studies name clients including Instacart, Zendesk, Zapier, and The Zebra. Siege Media's GEO service page does not publish pricing. Neither agency does, so with the engine-diversity and B2B-startup tie-breaks exhausted, this audit's own rule falls through to alphabetical order — placing Siege Media fifth, after iPullRank.

  • Observed fit: tied for engine diversity with iPullRank and Discovered Labs, but absent from the B2B-startup query both times it appeared.
  • Public service evidence: content-and-PR-led GEO combining data journalism, recurring content refreshes, and conversion assets.
  • Best for: content-mature brands that want AI-answer visibility built on a digital-PR and data-journalism engine rather than technical implementation.
  • Verify before buying: ask which citation gains are attributable to the GEO service specifically versus the underlying digital-PR and content programs it's bundled with, and request pricing directly — none is public.

6. Omniscient Digital — integrated GEO with public starting price

Omniscient Digital appeared in two Gemini cells, including the B2B-startup query. Its official GEO page describes citation analysis, technical analysis, a roadmap, content production, brand mentions, implementation, and ongoing monitoring; it also publishes a full-service starting price of $10,000 per month. See Omniscient Digital's live GEO service page.

  • Observed fit: repeated Gemini visibility on both prompts.
  • Public service evidence: end-to-end GEO analysis, roadmap, execution, and monitoring.
  • Best for: growth-stage or enterprise B2B teams with an existing content program and a five-figure monthly budget.
  • Verify before buying: ask for per-engine baselines rather than a blended AI-visibility dashboard.

7. Rock The Rankings — B2B SaaS pipeline specialization

Rock The Rankings appeared in two Gemini cells, including the B2B-startup query. Its official site positions the agency around SEO and GEO for B2B SaaS, with pipeline and revenue attribution rather than traffic as the main outcome. The live Rock The Rankings site also describes founder-led delivery and an initial 90-day engagement.

  • Observed fit: repeated Gemini visibility across both prompts.
  • Public service evidence: B2B SaaS-only SEO/GEO tied to demos, sales-qualified leads, and revenue attribution.
  • Best for: B2B SaaS teams that want AI search inside a pipeline-focused organic growth program.
  • Verify before buying: ask how much of the engagement is GEO-specific and which engines are measured separately.

8. Webappski — transparent publisher benchmark, absent from the answers

Webappski appeared in zero of six cells, so it ranks eighth rather than receiving a publisher advantage. Its live service page states that it audits ChatGPT, Perplexity, Gemini, and Claude separately, publishes monthly plans from €500, and offers a one-time setup from €3,500. See Webappski's live scope and pricing. Those are first-party offer facts, not evidence that the market currently recommends Webappski.

  • Observed fit: no recommendation visibility in this dated sample.
  • Public service evidence: per-engine audits, structured-data implementation, competitive analysis, and monitoring.
  • Best for: smaller product or service businesses that want a public entry price and a free baseline before committing.
  • Verify before buying: treat Webappski's own-product results as portfolio proof, not client proof, and inspect the raw audit output.

How do the eight agencies compare?

The table separates observed recommendation recurrence from each provider's stated service model.

RankAgencyCells namedPublic service fitBest-fit buyer
1Minuttia4 of 6Google + AI search, content, PR, analyticsEstablished B2B SaaS / tech
2First Page Sage3 of 6Research-led AEO + thought leadershipEstablished B2B organizations
3Discovered Labs2 of 6, across 2 enginesB2B SaaS AEO measurement + executionB2B SaaS growth teams
4iPullRank2 of 6, across 2 enginesRelevance engineering + dedicated GEO serviceEnterprise / mid-market B2B
5Siege Media2 of 6, across 2 enginesContent-and-PR-led GEO, data journalismContent-mature brands
6Omniscient Digital2 of 6Integrated GEO, content, technical workGrowth-stage / enterprise B2B
7Rock The Rankings2 of 6B2B SaaS SEO + GEO tied to pipelinePipeline-focused SaaS teams
8Webappski0 of 6Per-engine audit and implementationSmaller product / service firms

A cell count is not a quality score. It measures whether a named provider surfaced for these prompts on this date. The first-party service column answers a different question: whether the provider publicly supports the role the engine assigned to it. Neither proves future client outcomes.

What did the citation sources reveal?

The engines often relied on agency-authored roundups and service pages rather than neutral comparative research.

The OpenAI Responses API broad-agency answer leaned heavily on Clutch pages, while its B2B-startup answer cited provider sites. The Gemini grounded API mixed publisher, vendor, and agency domains. The manual Claude check used listicles for the broad query and mixed service pages with agency-authored rankings for the startup query. This source pattern is visibility evidence, not an independent endorsement.

It also gives buyers a practical test: ask an agency to show the exact prompts it monitors, the raw answers, the cited URLs, and the denominator behind any score. A dashboard percentage without those four artifacts cannot be independently checked.

How should a B2B buyer choose an AEO agency?

Choose the provider whose evidence, delivery model, and buyer fit match your actual starting point.

  • Ask for the denominator. “Visibility improved” is incomplete without the number of prompts, engines, runs, and dates.
  • Inspect raw answers and cited URLs. A screenshot of one favorable response is not a repeatable measurement system.
  • Separate monitoring from implementation. Confirm who changes pages, structured data, technical crawl access, content, and third-party evidence.
  • Match the operating model. An integrated SEO/GEO agency may suit a mature content team; a narrower AEO studio may suit a smaller firm that needs a baseline and direct fixes.
  • Repeat the buyer prompts. Run the exact questions your customers ask before signing, then rerun them after enough time for recrawling.

Frequently asked questions

These answers clarify what this ranking measures and what it cannot prove.

What is the best Answer Engine Optimization agency in 2026?

Minuttia ranked first in this dated six-cell audit because it appeared in four API or manual-search query results. That does not make it universally best; the right agency still depends on buyer stage, budget, language, implementation needs, and independently verifiable evidence.

Why is Webappski not ranked first?

Webappski published the audit but appeared in none of the six measured answer cells. The method gives no publisher bonus, so Webappski ranks eighth and its service claims are labeled as first-party offer facts.

Does appearing in an AI answer prove an agency is good?

No. An appearance proves recommendation visibility for one query, engine, and date. It does not prove delivery quality, causal client outcomes, or value for money; those require raw measurement, references, scope review, and commercial due diligence.

How often should this comparison be rerun?

Rerun the same prompt set after material model or index changes and after a provider's new work has had time to be crawled. Keep the prompts and denominator fixed so changes reflect the answer surface rather than a moving test.

What evidence should an AEO agency provide?

At minimum, ask for the prompt set, engine and model labels, dated raw answers, cited URLs, and the formula behind every score. The strongest providers also distinguish brand mentions from linked citations and report changes per engine.


What is the next step?

Start by measuring the buyer questions that matter to your company before choosing a provider.

Webappski offers a free AEO audit across ChatGPT, Perplexity, Gemini, and Claude. Use it as a baseline, inspect the raw evidence, and compare the result with any other agency using the same prompts and denominator.

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