How OnlyAEO Runs AEO for a Large, Multi-Product Enterprise

Why is AI visibility harder for a multi-product enterprise?

A multi-product enterprise is rarely invisible to AI as a whole. It shows up for some product lines, buyers and engines and goes missing elsewhere, and a company-wide score averages that away.

• Product lines. A broad category question may surface the corporate name. A question about the job a single product line does can leave you out, even when that line earns more.
• Buyers. A finance director and an IT lead may evaluate the same product. They still ask different questions and get different shortlists.
• Engines. Each engine retrieves and weighs sources differently, so we track and work on each engine separately.
• Your own organisation. Each product line has its own owner, approved claims and sometimes legal rules. When those facts live in separate decks, a page quotes an old price, another repeats a withdrawn claim, and AI reads both.

The program has to find where each line is missing, answer from a single set of approved facts, and fit the review process you already run.

How does OnlyAEO track visibility across product lines, personas and engines?

We build the question set by product line and persona, then run it through the AI engines on a schedule. Every answer is kept word for word, so anyone on your team can check it.

Personas and questions, line by line

Each buyer persona is researched from your market: role, company type, goals, pain points and decision criteria. Each persona gets a different answer, and the same personas later brief the writing.

That research happens line by line, because the person who buys your analytics product is often not the person who buys your payroll product.

• A single action per question. We group topics into pillars and clusters, and every question gets a single action: new page, expand, refresh, watch or skip.
• A clear owner per question. The plan is organised by product line, and an overlapping question gets a single owner so your pages do not split the answer.

What the platform measures

• Answers anyone can reproduce. Our platform runs your buyers' real questions through the major AI engines on a schedule and keeps every answer word for word with its prompt. A product owner who disputes a number can paste the prompt into ChatGPT or Claude and reproduce the answer.
• Recommendations counted apart. A recommendation of your brand is counted separately from a plain mention in the text or a link to your page as a source. That difference decides what gets written next.
• Missing sources ranked. The platform ranks the third-party sites AI cites where you are missing.

For a baseline of your own first, see our step-by-step guide to measuring AI visibility.

Who does the work, and what does your team keep?

Our team does the work and yours approves it: OnlyAEO is a fully managed service, and nothing goes live until your team has reviewed and approved it. The software underneath is ours to run.

What our team runs

• A light start. We need a 30-minute call, your best writing and the facts you want AI to get right.
• A dedicated team. It holds a regular review with yours and is always a call or a message away.
• The whole program. That team runs monthly AI visibility analytics, the articles and videos you approve, earned mentions, and a monthly review of what worked.
• A monthly rhythm. It learns your brand and connects publishing first, then plans each month with you from a fresh report.

A single record of approved facts

The Context Graph keeps a multi-product company consistent. Every article, video and post is written from it, and it holds your facts, voice, buyers, competitors and the claims you can and cannot make.

• Connected to your tools. It connects to Google Search Console, WordPress, Google Drive, Slack, YouTube and more.
• Versioned facts. During onboarding we record your competitors, buyers, claims and compliance rules, and company facts are versioned so every page uses the current ones.
• Changes flow through. Change a price and every new piece uses it; if something is not written down, our team asks yours.

What your team keeps

Your team keeps the decision on everything published under your name. People join by Google sign-in invite as operator, client admin, reviewer or viewer, so brand and legal hold reviewer seats and leadership follows as viewers.

The walkthrough of how OnlyAEO works shows each stage from the first audit to the monthly report.

What does every piece pass before it goes live?

Every piece passes five checks, and the last is your approval.

1. Claim check. Every number has to match a row in the evidence table, and claims without support are cut.
2. Voice check. A humanizer works in your brand voice, and the copy is checked for your banned terms.
3. Link check. Every link is tested, and a dead link blocks publishing.
4. Independent score. A separate scorer gives a quality score, and the piece has to reach 85.
5. Your approval. Your review board approves it, and nothing ships until you do.

Before writing, we read the pages ChatGPT and Claude cite in full and build an evidence table with freshness rules, so old numbers do not slip in. Before a page ships, we test that ChatGPT, Claude and Gemini can pull the answer out.

Page count is the wrong measure. A page gets into an AI answer by answering a buyer question better than what the engines already found, so a question that does not deserve a page gets marked skip.

How approved pages get published

• Your site, your design. Approved articles go live with images, links and schema attached, and we publish into any CMS. They use your own CMS template, so layout, fonts and colours are yours.
• Your release process. Pages can go to WordPress as a draft or live, to GitHub as a pull request (useful when engineering owns releases), to Framer, or to any CMS by webhook.
• Other languages. We write in the languages your buyers ask AI in, with the same research and checks, including French, Spanish, German, Portuguese, Arabic and Indonesian.
• Safe for existing SEO. Answer pages go on your own domain with guardrails so they do not hurt your existing search presence.

The Content Engine page follows a single piece from research to publishing.

How do security review and procurement fit into the program?

Security review and procurement run in parallel with onboarding. We are SOC 2 Type II compliant and work under a Data Processing Addendum, so your security and legal reviews can start while our team learns your brand.

Those reviews stall the work when they run in sequence. Move each of them earlier.

1. Send the paperwork early. Send the security questionnaire and the Data Processing Addendum request when you book the onboarding call.
2. Set the rules during onboarding. Ask brand and legal to define the voice, the approved claims and the claims you cannot make.
3. Review drafts written to the rules. Those rules go into the Context Graph, and every draft is checked against your voice and banned terms before your reviewers see it.

Here is what enterprise security and procurement teams ask for, and how we handle it.

None of this is legal advice. Your counsel should read the Data Processing Addendum against your own policies and the GDPR's official text. For data on UK residents, the ICO's UK GDPR guidance is the reference.

For approved claims and correcting how AI describes your brand, see AEO brand safety and governance for enterprise marketing teams.

What do marketing leaders and executives see in the reports?

Marketing leaders and executives get a monthly view of citation share, mention rate and LLM recall frequency across the major AI engines.

• A monthly report card. It shows your score, who AI names instead of you, the exact answers buyers got and what we will do next. Every gap becomes work our team does.
• A fresh audit each cycle. A new AI visibility audit arrives monthly or bi-monthly and starts each cycle.
• Reports on your schedule. Reports run from a single run to daily, weekly, fortnightly, monthly or quarterly, with email summaries, a share link and PDF export.
• Your own view. Your team gets our AI visibility app to see every answer and every change.

Read recommendations next to mentions. Rising mentions with flat recommendations mean AI knows the product line but points buyers elsewhere, which calls for comparison pages.

The next question from leadership is pipeline, and LLM Attribution shows which AI answers send you pipeline. For renewal metrics, read AEO reporting for enterprise procurement.

How long do results take, and what does OnlyAEO not promise?

The first measurable results usually need at least 60 days, and there is no guarantee of any result. After that, visibility compounds month by month as engines pick up more of the new pages, videos and mentions.

There is no promise of specific rankings, citations or placements in AI answers. Report the baseline and monthly numbers internally rather than a citation target the engines decide.

What the case studies can and cannot tell you

Our published case studies come from smaller, non-enterprise clients, so read them for the method and set your expectations from your own baseline.

• FastTrackr AI. A wealth-tech company: 0.1% AI visibility at the start, then #3 most-cited brand in its category about 100 days later.
• New York edibles retailer. A state-licensed edibles retailer with several New York locations started at 1.5% and reached 25% visibility, #4 of 374 brands.

Both are on the case studies page. To set your own baseline, request the free AI visibility audit: it costs nothing, arrives within 48 hours and covers ChatGPT, Claude, Gemini and DeepSeek.

Is a managed AEO program the right fit for your organisation?

A managed AEO program fits if you want a team to plan, write, publish and report on AEO while your people keep approval. It is the wrong fit if you want software your own team runs day to day.

It fits when

• Questions outgrow your team. Your product lines and personas add up to more buyer questions than your team can research, write and check.
• Sign-off is strict. Brand, legal or compliance approves what is published, and you want those rules written down in a single place.
• Security comes first. Security and procurement need SOC 2 Type II and a Data Processing Addendum before work starts.
• You sell in several languages. You want the same research and checks in each.

It does not fit when

• You want a self-serve tool. OnlyAEO is a fully managed service with software underneath.
• You need guaranteed placements. We do not offer a contractual placement or citation target.

If you are comparing partners, what to look for in an AEO agency for B2B software sets out the criteria. For the people who sign off, how to get cited when every committee member asks AI a different question covers the buying committee.

Frequently asked questions

Can OnlyAEO work alongside our SEO agency?

Yes. When you already have a page for a question, the plan can mark it to expand or refresh that page instead of publishing a new page. Answer pages go on your own domain with guardrails so they do not hurt your existing search presence.

How do you handle a portfolio of brands?

Each brand sells to its own buyers, so each needs its own personas, researched from that brand's market. Keep each brand's approved claims separate, and agree which brand owns which question before anything is written.

Is there a results guarantee?

No. OnlyAEO's terms state that we do not guarantee specific rankings, citation counts, traffic, leads or revenue. Judge the program on the monthly numbers and the answers kept word for word in the report.

Which AI engines does OnlyAEO work on?

As of October 2026, we work on ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Microsoft Copilot, Grok, DeepSeek, Meta AI (Muse) and Instinct. ChatGPT, Claude and Gemini are on by default with web search in our AI visibility platform.

Can we keep using the reports from the AI visibility tool we already pay for?

Yes. Send us its report as a PDF, spreadsheet or link and we plan from it. Our team turns the gaps it finds into the question plan.

Does the program cover more than articles?

It does. The service also covers YouTube videos, articles in other languages, mentions on trusted sites and listings AI reads, and a website health check. For mentions, we rank the sites AI cites where you are not mentioned yet, with a recommended play for each.