The AEO agency that shows you the evidence

What does an AEO agency do?

Answer engine optimization starts with the questions your buyers ask. They may want a recommendation, a comparison, a cost explanation, or reassurance that a provider can handle a specific need. The work is to make accurate, relevant evidence available for those questions.

That often involves several teams. Content needs clear answers and useful supporting detail. Technical work makes important pages accessible. Brand and entity work resolves conflicting descriptions. Off-page activity develops credible independent evidence. Measurement records what the AI platforms actually return.

An agency should explain how those activities connect to your commercial priorities. Producing more pages is not a strategy unless the pages address a real gap and the business can judge whether the work helped.

Why should brands look at AI visibility now?

Your prospects can ask an assistant to shortlist suppliers before speaking with your team. They may also use it to verify a claim, compare a product, or check whether your company is suitable for a particular requirement.

In LLM Listed's AI Buyer Journey Report 2026, 91% of the 350 B2B respondents said they used AI during the purchasing process. The wider survey covered 770 respondents in the US and UK during Q2 2026. This is evidence from that sample, rather than a claim about every buyer.

The practical response is to check whether your brand is represented accurately for the needs you serve. If the answers omit your company, confuse its services, or rely on outdated material, investigate the evidence behind them.

Our AEO process

Start with an evidence-based audit

Our AEO visibility audit examines relevant buyer prompts, competitor appearances, cited sources, and the accuracy of the answers. We agree on the market, product or service scope, and the questions that deserve attention first.

The baseline needs to be reproducible enough to compare later. Record the prompt, platform, date, and test conditions where available. Separate branded questions from unbranded discovery questions so a brand-name search does not hide weak category visibility.

Build content that answers the question

Our answer-first content work restructures useful information around specific buyer needs. The answer comes first, followed by evidence, qualifications, examples, and the next decision the reader needs to make.

We improve existing material where it already serves the intent. New pages should fill a distinct gap, rather than repeat a topic across competing URLs. Clear definitions, comparison criteria, and specific service information help people as well as retrieval systems.

Strengthen credible authority

Our off-page authority work focuses on relevant third-party coverage and consistent descriptions of your business. Credibility should be supported by real expertise, useful research, and accurate profiles.

We do not present a purchased mention as an independent endorsement. We also do not promise that a particular publication will force an assistant to recommend your brand. The task is to improve the evidence available and measure what happens.

Resolve technical and entity problems

We examine whether important content is accessible, whether internal links make it discoverable, and whether structured data matches the visible facts. We also review business names, locations, products, credentials, and other details that may be inconsistent across sources.

There is no universal schema trick that guarantees an AI citation. Google explicitly says its AI search features do not require special AI markup. Technical improvements support access and understanding; selection remains outside the agency's control.

Track the changes that matter

Big Four tracking helps distinguish a recurring improvement from a single favorable answer. We review mentions, cited sources, recommendation placement where meaningful, and whether descriptions remain accurate.

Commercial reporting should sit beside visibility reporting. Referral visits, branded search, inquiries, and sales feedback provide additional context. None provides complete attribution on its own, so reports should make assumptions and gaps visible.

How do we prove LLM citations?

A citation is a source reference in an answer. A mention is a brand name appearing in the text. A recommendation is a different observation again. We label these separately so a broad visibility claim does not stand in for evidence.

For a citation, retain the answer or capture, the linked source, the platform, and the collection date. For a repeated test, keep the prompt set and methodology consistent enough to understand what changed. Record significant changes in platform behavior or test conditions.

An executive summary should connect those records to the underlying evidence. If a report shows growth, you should be able to inspect representative answers and see the denominator behind a percentage. A single screenshot can illustrate a result; it cannot establish sustained performance.

Published client results

These figures appear in LLM Listed's published client work and scan proof sections. They are individual results with different scopes, not a pooled average or a promise of what your business will achieve. Ask us to explain the context and measurement behind the work relevant to your needs.

AEO by industry

Law firms

Legal discovery depends on practice area, location, jurisdiction, and trust. We organize content around the matters a firm actually handles and the qualifications it can substantiate. A personal injury recommendation should not lead to a generic service page that hides the relevant attorneys and geography. Explore GEO and AEO for law firms.

Healthcare and regulated industries

Clinical content needs evidence, ownership, and a review process. We help structure provider information and public educational material around the questions patients ask, while keeping sensitive information out of the workflow. Visibility work does not replace clinical judgment or compliance review. Explore AI visibility for healthcare.

Recruitment

Candidates and hiring managers ask different questions. A specialist recruiter needs content that makes its sector, role types, locations, and engagement models clear. We separate employer and candidate journeys and track the prompts relevant to each. Explore ChatGPT visibility for recruitment agencies.

Ecommerce

Brand awareness and product-level discovery are different challenges. Buyers need accurate prices, specifications, availability, and comparisons. We help retailers and brands organize those facts and examine whether AI answers identify the right products. Explore LLM visibility for ecommerce.

Financial services

Financial brands need clear service descriptions, accurate credentials, and carefully qualified claims. A recommendation for a financial advisor can be misleading if the location, authorization, or service fit is wrong. We plan visibility work around the client's review requirements and the actual scope of its offering. Explore finance and insurance AI visibility.

SaaS and technology

Software buyers compare use cases, integrations, implementation requirements, pricing models, and alternatives. Useful content should explain who the product fits and where it does not. We focus on defensible comparisons and accessible product documentation rather than unsupported category leadership claims. Explore AI visibility for SaaS.

Seven questions to ask an AEO agency

1. Which buyer questions will you prioritize, and why do they matter commercially?
2. How will you record the baseline and keep later comparisons meaningful?
3. Can you distinguish a brand mention, source citation, and recommendation?
4. Which content, technical, and authority changes will you make?
5. Can I inspect the evidence behind the reported results?
6. How will clinical, legal, or other regulated claims be reviewed?
7. What is included in the fee, and what would justify continuing the engagement?

For a detailed comparison framework, read how to choose the best AEO agency. We track across 650+ accounts with our own technology and data, then carry out the work agreed in each client's plan. The method and responsibilities should fit your business.

UK and US teams: London and Arizona

LLM Listed has a presence in London and Arizona, supporting businesses with UK and US AI visibility needs. We track across 650+ accounts with our own technology and data, then carry out the work agreed in each client's plan. The research should reflect your actual markets, services, products, and review requirements, rather than repeat the same assumptions across countries. Explore our London AI SEO service, learn more about LLM Listed, or contact us to discuss the right scope and working arrangements for your team.

AEO agency pricing and engagement models

We scope engagements around your markets, products or services, content estate, review requirements, and measurement needs. An initial audit can identify priorities before a larger implementation and tracking program is agreed.

Your proposal should distinguish the audit, content work, technical recommendations, authority activity, and ongoing reporting. Confirm which changes the agency will implement and which require your development, editorial, or compliance team.

We do not publish a universal starting price on this page. Book a strategy call for a proposal tied to a defined scope. That gives you a clearer comparison than a low headline price that excludes the work you actually need.