AI search visibility is being handed to SEO teams by default, but most of what drives it sits with other teams. If nobody fixes that mismatch, companies end up with an SEO lead who is accountable for AI answers and a brand, PR and product organisation that actually controls them. The fix is not a new job title. It is a clear split of who owns which inputs.
The argument in brief
In an interview with Ross Hudgens, reported by Roger Montti in Search Engine Journal, search marketer Tom Critchlow made a blunt point: in most organisations, the people who drive search outcomes are not SEO professionals. Great content, a strong brand and mentions across the web are what get rewarded, and those are typically owned by editorial, brand, PR and product teams.
He framed this as a career risk for SEO practitioners. Our view is that it is also an operating risk for the company. When AI answers misdescribe you or leave you out, the team being asked to fix it often has no authority over the inputs.
Related: Scrubbing vs Semrush: AI Visibility or Traditional SEO?
What actually shapes an AI answer about your company
When an assistant answers "what are the best tools for X", it draws on what the web says about you, not only on what your site says. Roughly, the inputs fall into five buckets:
- Your own pages: how clearly they state what you do, for whom and at what price.
- Third-party coverage: reviews, comparison articles, analyst notes, podcasts and news.
- Brand strength: how often people search for you and talk about you by name.
- Product reality: features, integrations and pricing that reviewers and users actually describe.
- Technical access: whether crawlers can reach and parse the pages that matter.
Only the first and last sit squarely with a typical SEO team. The other three belong to PR, brand marketing and product.
Why SEO cannot carry this alone
Consider a common scenario. An assistant describes your product using a feature you retired two years ago, drawn from an old review site listing. The SEO team spots it. But updating the listing sits with product marketing, getting new reviews needs customer success, and earning a fresh comparison article is a PR task. The SEO lead can raise a ticket; they cannot close it.
That is the ownership gap. AI search makes it visible because answers compress everything into a paragraph, and one outdated input can dominate it.
The same pattern shows up with positioning. If sales decks, the homepage and the pricing page describe the product three different ways, an assistant will pick one, or blend them into something nobody approved. Aligning that language is a product marketing decision, not a keyword exercise, and it needs someone with the authority to make it.
Related: Where Clicks Go, What Agents Skip, Who's Leaving Bing – SEO Pulse via @sejournal
A practical ownership model
Rather than rename the SEO team, assign each input to the team that already controls it and give one person the job of coordinating. A workable split:
- SEO: crawl access, site structure, on-page clarity, prompt tracking and reporting. Also the coordinator role.
- Content or editorial: original research, first-party data and pages that answer buying questions directly.
- PR and communications: third-party coverage, podcast appearances, analyst relationships and correcting outdated press.
- Product marketing: positioning statements, pricing pages, review-site profiles and comparison pages.
- Customer success: review generation and case studies with real customer permission.
Put the AI visibility report on the agenda of a monthly meeting that includes all five, not only the SEO stand-up.
What SEO teams should do right now
If you run SEO, the lowest-risk move is to become the team that sees the whole picture, even where you do not own the levers:
- Build a prompt set that reflects real buying questions, and track which sources the assistants cite for each one.
- Map every cited source to the team that controls it.
- Turn inaccuracies into specific requests with an owner and a deadline, not general alarms.
- Report outcomes in business terms: prompts where you are recommended, accuracy of descriptions, and visits that came from AI referrals.
This is less about protecting a function and more about making sure the work actually gets done.
Tie visibility to revenue signals
Ownership debates end faster when there is a shared number everyone cares about. Mentions and citations are useful leading indicators, but pipeline is what gets budget.
Track visits from AI assistants in analytics, then look at who those visitors are. A tool such as Happierleads identifies the companies and, where privacy law allows, the individual people behind website visits, so you can see whether AI referrals bring in target accounts or tyre-kickers. That turns an abstract visibility project into a shared sales input every team can see.
Warning signs your company has the gap
- Only the SEO team has ever looked at what AI assistants say about you.
- Your review-site profiles have not been updated since launch.
- PR success is measured in placements, with no link to search or AI visibility.
- Nobody can say who approves changes to positioning copy on the homepage.
- AI visibility appears as a line in the SEO report but never in the marketing leadership meeting.
The takeaway
Tom Critchlow's point lands because it describes an org chart problem, not a tactics problem. AI answers are built from brand, PR, product and content signals, so ownership has to follow those signals. Give SEO the coordinating role and the measurement, give each input a clear owner, and review it together monthly with a line of sight to pipeline. That structure will outlast whatever the acronym for this work turns out to be.
