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AEO for enterprise: the question is not who should do it, it is who is allowed to.

A small business has one approver. A large company has a brand team, a legal review, a platform release cycle, forty country sites and a procurement process — and every AI-visibility decision runs through all of them. This page maps the ask by function, names the governance problem underneath, and says plainly where an autonomous product fits and where an enterprise platform is the right shape.

Updated 2026-09-19 · Prices and data verified 2026-08-11

Everything else on this site assumes that when a scan finds a gap, someone can fix it. In a large company that assumption is where the project dies. The gap is found in week one; the schema change needs legal; the answer page needs brand; the crawler policy is owned by security; the release train leaves every six weeks; and the country site in Germany has its own rules and its own agency. AEO for enterpriseis mostly a governance problem wearing a marketing problem's clothes, and this page treats it that way — including saying where our own product fits and where it does not.

The ask, by function

The same question arrives five ways, and the five functions asking it do not agree on what a good answer looks like. Reading the chart by row is the fastest way to see why enterprise programs stall: the brand question is answered in a week, and the legal and platform questions are what actually determine whether anything changes.

The chart · fifteen questions, five functions

Question shapes drawn from how enterprise brand, legal, platform, procurement and executive teams phrase the ask — not captured answers about any company.

Brandthe first ask, and usually the wrong one

  • “what does ChatGPT say about our brand, and is any of it wrong?”
  • “which of our fifteen product lines do the engines even know about?”
  • “our competitor is named in every AI answer for the category. What are they doing that we are not?”

Legal and compliancethe ask that decides whether anything ships

  • “can an automated system publish anything to our domain without review, and what is our liability if it does?”
  • “who approves a schema change on a regulated product page — marketing, legal, or both?”
  • “how do we keep a claim out of AI answers that we are not allowed to make?”

Web and platformthe practical ask, and the one with the most constraints

  • “our CMS has a six-week release cycle. How does anything AI-related get published in less than a quarter?”
  • “we block most crawlers at the CDN. Which ones matter for AI answers, and what does unblocking one expose?”
  • “how do we handle forty country sites with different content and different legal rules?”

Procurement and ITthe ask that arrives after everyone else has agreed

  • “which vendors in this category have SOC 2, SSO, and an API, and what do they actually cost at our scale?”
  • “is this a tool we buy, a service we retain, or a capability we build in-house?”
  • “how do we evaluate an AI visibility vendor without giving it write access to anything?”

The executiveone question, asked quarterly

  • “are we losing demand to AI answers, and can anyone show me the number rather than a vendor's chart?”
  • “what did we change last quarter, and did any AI answer actually change because of it?”
  • “who owns this, and what is the budget line?”

The entity problem comes before the content problem

Most large companies discover the same thing in their first scan: the flagship brand is known to the engines, most product lines are invisible, and the country sites contradict each other about what the company is. That is not a content gap. It is forty entities describing one company forty ways, and an engine reconciling them settles for whichever description it read most. The first quarter's real work is a shared entity layer — organization identity, product taxonomy, claim boundaries — governed centrally, with local teams owning the answer pages beneath it. No tool installs that; a governance decision does.

The size of the exposure, in numbers no vendor owns

48%

of Google searches now return an AI Overview above the organic results

Source: Similarweb, March 2026

61%

fewer organic clicks on searches where an AI Overview answers first

Source: Similarweb, 2026

Put your own branded and category query set against these two numbers and the exposure has a size in your own analytics, which is the figure an executive will accept and a vendor's chart is not.

The crawler decision, made knowingly

Enterprise CDNs commonly block most crawlers by default, often by a rule written years ago. The distinction that matters is between the crawler tied to appearing in a search product and the one that collects training data. OAI-SearchBot is tied to appearing in ChatGPT Search; GPTBot is primarily training-data collection, and blocking GPTBot does not remove a site from ChatGPT Search. Anthropic splits the same way, with Claude-SearchBot for search appearance and ClaudeBot for training. Unblocking a search crawler exposes what a public page already exposes. The decision belongs to security and legal; the point is that it should be made on purpose, with the two jobs distinguished.

Where our product fits, and where it does not

Yes

A central team runs a portfolio of brands or country sites, each with a single accountable owner who can approve a draft. The Agency plan at $549/month covers ten projects across all six engines under your own brand, and each owner gets the one-approver workflow the product was designed for. This is how most of our enterprise-adjacent use actually looks.

No

Every change to the domain needs multi-function sign-off, single sign-on and a procurement-grade security posture are requirements, and the buyer wants panel-scale query data and an API. That is an enterprise platform, and the documented example in our verified dataset (prices checked August 2026) is Profound's enterprise tier: Up to 10 engines, Prompt Volumes, Agent Analytics, Workflows/Content suite, Aim orchestrator, API, SOC 2, SSO. Third parties report real contracts at $2,000–5,000+/mo plus one-time setup fees of $2,500–15,000. It is a different product for a different buyer, and naming it is more useful to you than a pitch.

How to evaluate any vendor in this category without giving it write access

  • Ask for the before-and-after, not the dashboard. The artifact that matters is the same questions asked on a schedule, with the answers compared. Any vendor can show a score; ask to see an answer that changed and the dated change that preceded it.
  • Run the free scan on two brands before the RFP. The flagship and the line nobody talks about. The difference between the two reports is usually the whole business case, and it costs nothing.
  • Separate measurement from publishing in the contract. Read-only measurement can be piloted in a week; publishing rights are a governance decision that should not ride on a vendor evaluation.
  • Decide the crawler policy before the pilot, or the pilot measures a site the engines cannot read.

How you know whether it worked

The same buyer questions re-asked on a schedule, so the record is a before and after. Approved pages are submitted to Bing within minutes of going live, and Bing standing is the fastest indicator — independent testing found roughly 87% of ChatGPT's citations match Bing's top results (Seer Interactive, 2026), a measured correlation and not a mechanism OpenAI documents. Citations run to a median of about 6.8 days after indexing, with roughly 42% of pages cited within 30 days, in practitioner testing across 2026 (Semrush / practitioner testing, 2026). At enterprise scale the release cycle is usually the longer clock. And 40–60% of the sources AI cites change every month (eMarketer, 2026), which is why this is a standing function rather than a project.

09 · FAQ

What enterprise teams ask before they start.

Is AEO Action built for enterprises?
Not in the way an enterprise usually means it, and it is better to say so on this page than on a sales call. The product is designed around one approver: scans run, one move a day is prepared as a draft, and a person presses approve. For a business with an owner or a small team that is the right shape. For a company where a schema change on a regulated product page needs marketing, legal and platform sign-off, one approver is not the workflow — and the honest fit is either the Agency plan at $549/month used by a central team to run ten brands or country sites with a single owner each, or an enterprise platform with procurement features. Profound's enterprise tier, for instance, is documented as including Up to 10 engines, Prompt Volumes, Agent Analytics, Workflows/Content suite, Aim orchestrator, API, SOC 2, SSO. That is a different product for a different buyer, and this page names it because pretending otherwise would waste your quarter.
Why do you say brand's first question is the wrong one?
"What does ChatGPT say about us" is the natural first ask and it is a snapshot with no decision attached. The question that leads somewhere is which of your product lines and markets the engines can place at all, because in most large companies the answer is uneven: the flagship is known, the fifteen other lines are invisible, and three country sites contradict each other about what the company is. That is an entity problem before it is a content problem, and it is the one thing on this page that every function can agree to fix first.
Our CDN blocks most crawlers. Which ones matter?
The distinction that matters is between the crawler tied to appearing in a search product and the crawler that collects training data. OAI-SearchBot is tied to appearing in ChatGPT Search; GPTBot is primarily training-data collection, and blocking GPTBot does not remove a site from ChatGPT Search. Anthropic splits the same way, with Claude-SearchBot for search appearance and ClaudeBot for training. A blanket block added years ago by a security team that never distinguished the two is common at enterprise scale, and unblocking a search crawler exposes exactly what a public page already exposes — the public page. The decision belongs to security and legal; it should at least be made knowingly.
How do forty country sites get handled?
As forty entities that must not contradict each other about the one thing they share. Local content and local legal rules are fine and expected; what breaks AI answers is the company describing itself differently in Frankfurt and São Paulo, with different names, categories and claims. The work is a shared entity layer — organization identity, product taxonomy, claim boundaries — governed centrally, with local teams owning the answer pages beneath it. That is a governance design, not a tool feature, and it is where most enterprise programs actually spend their first quarter.
Can the executive get a number that is not a vendor's chart?
Two numbers exist that no vendor owns. 48% of Google searches now return an AI Overview above the organic results (Similarweb, March 2026), and 61% fewer organic clicks on searches where an AI Overview answers first (Similarweb, 2026). Put your own query set against those and you have the size of the exposure in your own analytics. The second number the executive wants — did anything we changed alter an AI answer — is a before-and-after on the same questions, which is what a scan on a schedule produces, and it is the one artifact every vendor in the category should be asked to show rather than describe.
How long before a change shows up in an answer?
No honest date, and at enterprise scale the release cycle is usually the longer clock. For pages that do get cited, practitioner testing across 2026 found a median of about 6.8 days to a first ChatGPT citation once indexed, with roughly 42% cited within 30 days (Semrush / practitioner testing, 2026). Bing standing is the faster indicator, since independent testing found roughly 87% of ChatGPT's citations match Bing's top results (Seer Interactive, 2026) — a measured correlation, not an OpenAI-documented mechanism.

See what the engines say about each of your brands — before the RFP.

The free audit asks ChatGPT, Gemini, and Perplexity ten buyer questions about a brand — 30 live answers in about two minutes, three of them shown word for word. Run it on the flagship and on the product line nobody talks about, and compare. Just an email, no account, no card.

This is a live test: we ask ChatGPT, Gemini and Perplexity what your customers ask and record who gets recommended. Your results are on screen in about two minutes, and we email you a link to the report when the scan is done. We may also send you our newsletter about AI search; every issue has a one-click unsubscribe.

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