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Your Brand Is Being Described By Machines Now

Described By Machines: journal title card on how AI assistants describe brands

When someone asks an AI assistant to recommend a supplier in your category, something answers on your behalf. It is working from whatever it can find, and your own website is only about 5 to 10% of what it draws on. That is a brand problem, not an SEO problem.

A buyer in your category no longer starts with ten blue links. They ask a question in plain language and read a paragraph that has already done the comparison for them.

That paragraph describes your brand. You did not write it. And here is the part that should get your attention: research on AI citation patterns puts brand-owned websites at only about 5 to 10% of the sources these systems draw on. The rest is press, directories, forums, review sites, and other people's opinions about you.

Something is answering on your behalf, from material you mostly do not control.

You have always been described by other people. The difference now is that the description gets summarized and delivered as an answer.

AEO is not SEO with a new label

Worth being precise, because the terms are being used interchangeably and they describe different objectives.

Search engine optimization aims to rank a page. Success is a position in a list. The user then clicks, lands on your site, and forms an impression from your material, in your voice, on your terms.

Answer engine optimization aims to be cited inside a generated answer. Success is being the source a model reaches for and, ideally, being named. The user may never visit your site at all. The impression is formed in the answer, not on your page.

The second one is closer to PR than to technical SEO. You are not competing for a slot. You are trying to be the most quotable, most verifiable, most structurally legible source on a question - and you are competing against everyone who has ever written about your category, including your competitors' clients.

The three things that reliably move the needle

Cutting through the noise, three variables show up consistently in what gets cited and what gets skipped.

Structure. Pages with proper structured data see roughly 3.2 times the citation rate on competitive topics compared to pages with basic or missing markup. Models extract from clear hierarchy, definitional sentences, and marked-up entities. A gorgeous wall of prose with no headings is close to invisible.

Freshness. For commercial and evaluation-stage queries, 83% of AI citations came from pages updated within the past twelve months, and more than 60% from pages refreshed within six. This is the one most brands get wrong, because it means a five-year-old cornerstone page is a liability rather than an asset unless it is maintained.

Corroboration. Because your own site is a small fraction of the source pool, what other people say about you carries disproportionate weight. Being described consistently across a trade publication, a directory listing, a client's case study and a forum thread does more than another page on your own domain.

What this means for a brand, not a website

Here is where most of the AEO advice being published right now stops short. It treats this as a technical exercise. It is not.

Distinctiveness became a retrieval problem. A model summarizing your category groups similar things together. If your positioning is interchangeable with four competitors, you get collapsed into a generic description of the category and named last, or not at all. The brands that survive summarization are the ones with a specific, repeatedly-stated claim that is difficult to blend into a general statement. Differentiation used to be about being memorable to a person. It is now also about being un-mergeable by a model.

Your language has to be consistent everywhere or the summary gets muddy. If your website says one thing, your LinkedIn says another, and a trade article describes you a third way, the generated answer averages them. Consistency of message stopped being a tidiness concern and became a data-quality concern.

Verifiable facts beat adjectives, decisively. "Award-winning packaging design studio" is an adjective a model will discount. "Bronze, Single Packaging, 2024 Canada Beer Cup" is a fact it can cite with confidence, because it is specific, dated and checkable. Every vague superlative on your site is a missed opportunity to state something a machine can actually repeat.

Being described requires being written about. If nobody outside your own domain has explained what you do, there is very little for a model to work with. Client case studies published on the client's site, trade press, podcast appearances, conference listings - these were always good for reputation. They are now literally the training and retrieval material.

The five-minute test

Ask an AI assistant the question your best prospect would ask. Not your brand name - the category question. "Who does packaging design for craft beverage brands in British Columbia?" or whatever the equivalent is in your market.

Read what comes back. Three things to look for:

Are you in it? If not, you have a corroboration problem, not a website problem.

If you are in it, is the description accurate and is it yours, or is it a generic category sentence with your name attached?

What is it citing? Those sources are your actual brand surface now. Go look at what they say about you.

Most people running this test for the first time find something outdated, something wrong, or a description that could equally apply to six competitors. All three are fixable, and none of them are fixed by adding another page to your website.

What I would actually do about it

In order, because the order matters:

Fix the facts first. Every specific, checkable claim you can make - awards with years and categories, named clients, dates, numbers - should exist in plain text on your site. This is the cheapest, highest-return work and most sites are running on adjectives instead.

Then fix the structure. Article schema, clear heading hierarchy, definitional opening sentences. This is a half-day of developer time for a multiple on citation rate.

Then fix the freshness cadence. Publishing consistently is not a vanity exercise. It is the signal that keeps you in the eligible pool for evaluation-stage queries.

Then go get corroborated. Trade press, client-side case studies, directories, anywhere your category gets discussed. This is the slowest and it is the one that compounds.

The uncomfortable reframe

For twenty years, the discipline was making sure people could find your site. That was a marketing problem with a technical solution.

The new discipline is making sure that when a machine explains your category to a buyer, the sentence about you is specific, accurate, and clearly not about somebody else. That is a positioning problem with a marketing solution - and it rewards exactly the brands that did the hard work of being genuinely distinct, while punishing the ones that got by on looking professional.

Go ask the question. Read the answer. It is the most useful five minutes you will spend on your brand this quarter.

Filed under: Industry Notes

Questions

What is answer engine optimization (AEO)?

Answer engine optimization is the work of getting your brand cited inside AI-generated answers, rather than ranked in a list of links. Success means being the source a model reaches for, and ideally being named. It is closer to PR than technical SEO, because the impression forms inside the answer, not on your website.

How is AEO different from SEO?

SEO aims to rank a page so a user clicks through and forms an impression on your site, in your voice. AEO aims to be cited inside a generated answer the user may read without ever visiting your site. SEO competes for a position. AEO competes to be the most quotable, verifiable source on a question.

How can a brand improve how AI assistants describe it?

Work in order. State specific, checkable facts, such as awards with years and categories, in plain text on your site. Add structured data and a clear heading hierarchy. Publish and update content on a steady cadence. Then earn corroboration through trade press, directories and client-side case studies.

How do you check what AI says about your brand?

Ask an AI assistant the category question your best prospect would ask, not your brand name. Then check three things: whether you appear, whether the description is accurate and specific to you, and which sources it cites. Those cited sources are now a large part of your brand's public surface.

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