Who Owns AEO? Roles for In-House Marketing Teams

AEO should not sit with one person or department. In most in-house teams, the SEO or organic growth lead should own the day-to-day programme, while the CMO or marketing leader sponsors it and SEO, content, PR and product marketing each own defined work. That split matters because answer engines draw on your website and information published elsewhere.

AEO means answer engine optimisation: making your brand and its information easier for systems such as ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews to find, understand and represent. This guide explains how to divide the work, what each role owns and how to set up a workable process. If you are setting up measurement as well as ownership, SearchFIT’s resources and pricing can help you compare options.

Who owns AEO in an in-house marketing team?

The short answer is that AEO is a shared marketing responsibility with one operational owner. The SEO or organic growth lead coordinates the work, sets the measurement approach and keeps tasks moving. The CMO or VP of Marketing is accountable for the business priority, budget and trade-offs. Content, PR and product marketing own the work that depends on their expertise.

This is different from giving everyone vague responsibility. A shared discipline still needs named owners for specific decisions and deliverables. If nobody is accountable for the overall programme, teams can publish disconnected work. If one person is expected to do everything, important work outside their role is likely to be missed.

A useful starting principle is:

• One programme owner: usually the SEO or organic growth lead.
• One executive sponsor: usually the CMO or VP of Marketing.
• Several workstream owners: content, PR and product marketing leads.
• A clear route for product, legal and subject-matter review: where claims need approval.

This approach reflects the cross-functional nature of the work described by Forrester’s guide to organising for answer engine optimisation and Siteimprove’s explanation of AEO ownership. The right reporting line can differ by company, but the responsibilities should not be left implicit.

First, what AEO includes

AEO is the work of improving the chance that an answer engine uses, cites or recommends accurate information about a business. An answer engine responds to a question by generating or assembling an answer, rather than only presenting a list of links. Depending on the product and query, the answer may include links to sources, a brand mention, a product recommendation or no visible citation at all.

AEO is related to SEO, or search engine optimisation, but it is not a replacement for SEO. SEO helps search engines discover, index and rank pages. AEO also asks whether the information is clear and useful when a system tries to answer a question, and whether credible sources elsewhere support your brand’s claims.

You may also see the term GEO, short for generative engine optimisation. People use GEO and AEO in overlapping ways. For the purposes of this guide, AEO means the broader work of becoming easier to understand, cite and recommend across AI-powered answers. The labels matter less than clear ownership and useful outcomes.

A few terms make the work easier to discuss:

• Answer engine: a search or AI product that gives a direct, generated response to a question.
• Large language model (LLM): a type of AI model that processes and generates language. Some answer engines use LLMs, often alongside search or other sources.
• Citation: a source that an answer engine names or links to as support for an answer.
• Brand mention: a reference to your brand in an answer, whether or not it includes a link.
• Entity: a distinct, recognisable thing, such as a company, product or person. Consistent names and descriptions help systems distinguish one entity from another.
• Structured data: machine-readable information added to a web page to describe things such as a product, organisation or article.

AEO work therefore crosses channels. A technically sound page can still be hard to quote if its answer is unclear. A well-written article may not correct a product description that is out of date on a review site. Strong PR coverage may not help a buyer understand which product is right for them if the company’s own comparison pages are vague.

Why AEO cannot belong to SEO alone

SEO is a natural home for programme coordination because SEO teams already work across technical access, content discovery, search measurement and website changes. But visibility in answer engines can depend on information beyond a company’s own pages. That makes AEO bigger than the technical and on-page parts of SEO.

Consider a software buyer asking an AI assistant to compare tools for a particular use case. The assistant may encounter the company’s product page, a review platform, an industry article, a forum discussion and a competitor comparison. The company’s SEO lead can improve its page and make sure the site is accessible. They cannot, by themselves, ensure the review profiles are accurate, secure relevant media coverage or make the product’s positioning consistent across teams.

That gap is a reason to involve PR and communications. Sited’s discussion of PR and AI search visibility considers the role of communications teams in building off-site visibility. PR teams understand media relationships, messaging and reputation. Those skills matter when the question is not just “Can a crawler reach our page?” but also “Do independent sources describe us accurately?”

AEO also needs product marketing. Product marketing, often shortened to PMM, is responsible for explaining who a product is for, what it does and how it compares with alternatives. If product facts vary between the website, sales materials and review listings, an answer engine may find conflicting descriptions. PMM is well placed to establish an approved source of truth and correct inaccuracies.

Finally, executive sponsorship matters because the work competes with other priorities. AEO may require engineering time, subject-matter expertise, communications effort and changes to how teams maintain product information. The CMO does not need to manage every prompt or edit. They do need to set the priority, resolve ownership disputes and make sure the programme has enough support.

Divide AEO ownership across four functions

A practical ownership model assigns each function a clear mandate. The examples below describe typical responsibilities, not fixed job descriptions. In a smaller company, one person may cover several functions. The key is to keep the responsibilities visible, even when people wear more than one hat.

SEO or organic growth: own the operating system

The SEO lead should usually act as the AEO programme owner. This does not mean SEO controls every team’s work. It means SEO maintains the shared plan, coordinates measurement and makes sure technical tasks have an owner.

Typical responsibilities include:

• Checking whether important pages can be accessed by the relevant search and AI services, subject to the company’s security and legal policies.
• Working with developers on crawl settings, rendering issues, internal links and structured data.
• Setting up a repeatable way to test prompts across relevant answer engines.
• Recording what answers contain, which sources appear and whether the brand is mentioned accurately.
• Connecting visibility observations with website sessions, branded searches and pipeline data where possible.
• Maintaining an issue log so that technical problems and factual errors reach the right team.

A prompt is the question a person enters into an AI assistant. Prompt tracking means testing a defined set of relevant questions over time and recording what the assistant returns. It is not the same as checking one answer once and assuming it represents all users. Answers can vary with the wording, product, location, account settings and time of the test.

Technical work still matters, but it is not a shortcut to visibility. Structured data can help describe page information in a consistent format. It cannot make unsupported claims true or guarantee that an answer engine will cite a page. Likewise, crawler access is a prerequisite for some forms of discovery, not a promise of recommendation.

Content marketing: make the answer easy to find and use

Content marketing owns the clarity and usefulness of information published on the company’s own channels. The goal is not to write awkward copy for a machine. It is to help a human reader get a sound answer quickly, while organising the page so that its main points are easy to understand.

For example, a project management software company might publish a page titled “How to manage projects across remote teams”. If the page takes several paragraphs to explain its basic recommendation, readers and answer systems may struggle to identify the central answer. A better page can state the main guidance near the start, then explain the steps, trade-offs and examples below it.

Useful content practices include:

• Put the direct answer near the beginning of a page or section.
• Use headings that describe the question or task being answered.
• Explain terms before relying on them.
• Use comparison tables when readers need to compare features, plans or approaches.
• Support claims with evidence and identify whose experience or data they represent.
• Include examples that show how advice works in a real situation.
• Review important content when products, policies or prices change.

This is sometimes called answer architecture: the way information is organised to make a question and its answer clear. It does not mean every page must be reduced to a short answer. Detailed explanations still matter, especially for complex choices. A clear summary followed by evidence and detail serves both readers who need a quick answer and readers who need to assess it.

Content teams should work closely with subject-matter experts. If an article gives a confident but inaccurate answer, clear formatting will not fix the underlying problem. A lightweight review process can record who checked the facts, which sources were used and when the page needs another review.

PR and communications: build a reliable picture beyond your website

PR and communications own the work of earning and maintaining accurate attention beyond the company’s channels. This may include media coverage, expert commentary, trade publications, partner references and relevant professional communities.

The goal is not to chase every mention or flood forums with promotional posts. It is to make it easier for buyers and information systems to find credible, consistent accounts of what the company does. That calls for useful evidence, accessible spokespeople and honest engagement, not manufactured consensus.

For example, a cybersecurity company wants to be considered for questions about endpoint protection for smaller businesses. The communications team might help its technical experts contribute practical commentary to relevant industry coverage. The product marketing team checks that descriptions of supported features are accurate. SEO identifies the questions where the brand is missing from answers and shares the source patterns. Together, they can see whether the issue is a lack of useful expertise, a confusing product story or a weak owned page.

PR can also monitor how the brand is described in news and community conversations. Where information is inaccurate, the team can decide whether to request a correction, publish a clear response or alert product marketing. It should not promise that a correction will immediately change an AI answer. Systems may rely on different sources, update at different times or produce variable responses.

Product marketing: make product facts consistent

Product marketing owns the facts and positioning that help buyers understand the product. Positioning means the explanation of who the product serves, what problem it solves and why it is a suitable choice compared with alternatives.

This work is particularly important when a company has several products, changing features or different plans. Product marketing can maintain an approved information source that covers:

• Product names and descriptions.
• Intended users and common use cases.
• Current features and limitations.
• Pricing or a clear explanation of how pricing is determined.
• Supported integrations and compatibility.
• Differences between plans or product editions.
• Approved comparisons with alternatives.

The source of truth should be easy for other teams to use. It might be a product messaging document, maintained product pages or a shared fact sheet. It should have an owner and a review date. If pricing changes, the company should know which public pages and listings need updating.

Product marketing should also coordinate accurate profiles on relevant review and software comparison platforms. Those profiles are not simply another place to paste the homepage copy. They should reflect the product accurately and follow each platform’s rules. When an answer engine gets a feature or price wrong, PMM can investigate the underlying claim and coordinate a correction with the website, review platform or publisher where it originated.

Set decision rights with a simple RACI

A responsibility matrix helps teams distinguish who does the work from who makes the final call. One common model is RACI:

• Responsible: does the task.
• Accountable: owns the outcome and approves completion.
• Consulted: provides relevant input before a decision.
• Informed: receives an update after the decision or work.

Each task should have an accountable owner, even if several people are responsible for parts of it. Here is a starting matrix for an in-house marketing team:

This is a starting point, not a rulebook. In a company where communications reports to a different executive, that leader may need to help approve PR priorities. In a regulated industry, legal and compliance teams may need to review claims. Add those people where they have a real decision right, rather than inviting everyone to every meeting.

Create one workflow instead of four separate projects

A shared workflow turns role definitions into action. It also stops teams from treating prompt tracking, content production and PR outreach as unrelated activities.

1. Choose a business question to improve

Start with a buyer question tied to a meaningful decision, such as “Which accounting platform suits a growing ecommerce business?” Avoid beginning with a broad goal like “get more AI visibility”. A specific question helps the team understand the buyer, the answer they need and which competitors or sources matter.

2. Establish a baseline

Record how a small, relevant set of prompts is answered in the systems your audience uses. Capture whether your brand appears, what is said about it, which sources are cited and whether the answer is accurate. Save the date and wording of each test. The point is to create a consistent reference, not to claim that a handful of observations represents every user.

3. Diagnose the gap together

The SEO lead checks the relevant website pages and technical issues. Content reviews whether the answers are direct, complete and supported. PR checks whether trusted third-party sources discuss the topic and brand. Product marketing verifies product details and positioning. This discussion may reveal more than one gap.

For example, an answer engine might describe a company as a tool for large enterprises, while the company wants to reach small businesses. SEO might find that the company’s own pages describe both audiences inconsistently. Product marketing can clarify the intended segment, content can update the relevant pages, and PR can help ensure expert commentary reflects the same positioning.

4. Assign actions and dependencies

Give every action one owner, a due date and a definition of done. “Improve AI visibility” is not a task. “Update the product comparison page to include current integrations, get PMM approval and check it renders correctly” is a task. Make dependencies explicit, such as a content writer waiting for product facts or a PR pitch waiting for an approved expert.

5. Publish, distribute and check again

After changes go live, check the page and any relevant third-party sources. Then repeat the same prompt tests on a reasonable schedule. Record what changed and what did not. If an answer stays inaccurate, trace the statement back to its possible sources before deciding what to change next.

A team can run this workflow through a shared project board and a regular short meeting. The meeting should focus on decisions, blockers and new evidence. It does not need to become a standing review of every page the company publishes.

Measure AEO without mistaking visibility for revenue

AEO measurement is still developing. No single metric tells you whether the work is valuable. A useful measurement plan combines what answer engines say, what people do next and what the business can connect to revenue.

Visibility and citation measures

• Citation share: the proportion of tracked, relevant answers that cite or name your brand, using a clearly defined prompt set and method.
• Brand mention rate: how often the brand appears in the answers tested, whether or not a link is shown.
• Citation sources: the publishers, websites or other sources cited in those answers.
• Recommendation sentiment: whether the answer describes the brand positively, neutrally or negatively. Define the categories and review borderline cases consistently.
• Factual alignment: whether the answer’s product, pricing and positioning claims match approved information.

These measures describe what was observed in a particular set of tests. They are not universal rankings, and they should not be reported without the test scope and date. Different wording or systems can produce different results.

Website and business measures

• Visits referred from AI answer products, where analytics can identify them.
• Engagement and conversion behaviour from those visits.
• Changes in branded searches and direct visits, considered alongside other campaigns.
• Sales conversations where a prospect says they used an AI assistant during research.
• Opportunities or revenue influenced by AI-assisted research, with the limits of attribution made clear.

A buyer may research in an AI assistant and later visit by typing the company’s name into a browser. That journey may not appear as a referral from an AI service. Ask sales teams to include a consistent question in discovery, and use a CRM field if the answer is useful. Treat self-reported information as one signal, not perfect attribution.

Attribution is the process of connecting marketing activity to an outcome. In AI search, that connection can be incomplete because a person may see an answer without clicking, then arrive through another route. Do not claim that an increase in mentions caused a revenue increase unless your evidence supports that conclusion.

A simple reporting view can show the prompt set tested, mention and citation patterns, factual errors found, actions completed, relevant site referrals and business feedback. SearchFIT’s guide to AEO KPIs offers another starting point for choosing measures. If you are comparing an in-house workflow with external support, see SearchFIT’s comparison page.

Common ownership mistakes to avoid

Making SEO accountable for work it cannot control

An SEO lead can coordinate AEO and improve the site. They cannot unilaterally create independent media coverage, change product facts or correct every external listing. Make the dependencies visible and assign those tasks to the teams with the right relationships and authority.

Treating AEO as a content formatting exercise

Short answers, tables and clear headings can improve comprehension. They do not replace expertise, evidence or accurate information. A page that is easy to extract but thin or misleading is not a good result for a buyer or the business.

Treating a single answer as proof

One response is an observation, not a reliable trend. Record repeatable tests, note the conditions and look for patterns across relevant questions. Be careful about presenting a screenshot as proof of broad visibility.

Chasing technical shortcuts

Structured data and crawler settings have legitimate uses, but neither guarantees that a brand will be cited. Technical implementation should support clear, accessible information. It should not distract the team from product accuracy, useful content and credible sources.

Publishing claims that do not match across channels

A homepage, pricing page, sales deck and review profile can slowly drift apart. That inconsistency creates confusion for prospects and makes it harder to establish what the company actually offers. Product marketing should maintain approved facts, and each channel owner should know when to refresh them.

Counting activity instead of learning

The number of prompts tested, articles written or outreach emails sent can help manage workload. Those are activity measures, not proof that AEO is working. Use them alongside answer accuracy, relevant citations, buyer behaviour and business outcomes.

A practical first-month plan

You do not need a large task force to begin. A small team can establish ownership, test a focused set of questions and make the first improvements.

Week one: name owners. The marketing leader appoints an executive sponsor and a programme owner. The programme owner identifies content, PR and product marketing contacts. Agree on how legal, product or technical review will work when needed.

Week two: pick questions and record a baseline. Choose questions that match your audience and product category. Test them in the answer engines your buyers are likely to use. Save the exact wording, date, answers and sources. Decide what counts as a relevant mention or citation before reporting the results.

Week three: check the information. Review the company’s pages, product facts, relevant review listings and available third-party coverage. Identify the most important inconsistency or missing answer. Do not try to fix every issue at once.

Week four: ship one joined-up improvement. For example, clarify a product comparison page, update the associated review profile and brief a spokesperson on the same category question. Record who owns each change. Then repeat the baseline checks later and document what changed, rather than assuming a publication automatically changes AI answers.

For ideas on answer-led content, the SearchFIT article on content strategies for AI search visibility provides additional practical guidance. Teams can also review SearchFIT’s AI search resources as they build a measurement and publishing routine.

The simplest way to assign AEO ownership

Put one person in charge of coordination, not every task. In most in-house marketing teams, the SEO or organic growth lead is well placed to be the operational owner because the work includes site access, measurement and coordination. Give the CMO or VP Marketing responsibility for sponsorship, priorities and resources. Then assign content, PR and product marketing clear work they can actually control.

This structure makes AEO part of how marketing operates rather than a side project. It also keeps the goal grounded: provide accurate, useful information wherever buyers encounter the brand, and learn from how answer engines represent it. For a next step, agree on the programme owner and a first set of buyer questions, then explore SearchFIT’s pricing if you need a platform to support prompt tracking and reporting.