How AI Assistants Decide Which Brands To Recommend

You Have No Stable Identity Models need to connect scattered mentions to a single entity. If your company appears under three different spellings, lists two different founding years, and gives an address on your site that does not match your directory listings, those mentions may never be joined up.

Corroboration Beats Assertion The single clearest pattern in observed behaviour is that independent agreement outweighs self description. A claim made only on your own site is treated as a claim. The same claim appearing on a review platform, in a trade publication and in a forum thread is treated as a fact about the world.

Accuracy Beats Coverage The most common real defect is not missing markup, it is markup that disagrees with the page or with the rest of the web. A founding year in your schema that differs from your about page. A logo URL that returns a 404. A contact point nobody monitors.

Expect the timeline to be uneven. Crawler access can change what an assistant sees within days, because retrieval happens at answer time. Identity consistency takes longer, since scattered mentions have to be re-crawled before they join up. Third party coverage is slowest of all and is the part you control least directly, which is exactly why it is worth starting on it before you need the result.

Third, and least comfortable, reduce dependence on this one channel. Brands that were already visible through communities, direct relationships, email and their own reputation have absorbed the change far better than brands whose entire acquisition rested on informational search traffic.

The reasonable reading is that ranking gets a page considered while quotability and corroboration decide whether it is used. Treating a strong search position as an entitlement to appear in answers is the mistake that catches out established brands most often.

There is almost always a specific, findable reason for this, and it is rarely that the model dislikes you. Here are the causes worth checking, roughly in the order that they tend to be responsible. llm seo

The guard against this is boring and effective. Change one substantial thing at a time where you can, record what you did and when, and note the alternative explanations alongside your conclusion. Attribution in this channel is genuinely hard, and a team that admits that will make better decisions than one that produces a confident causal story after every movement.

Starting With Content The most common and the most expensive. A brand decides to take this seriously and commissions twenty articles, without knowing which questions matter, which assistants answer them badly, or which sources those answers are built from.

What to Do About llms.txt and Similar Files Proposals for machine readable files aimed specifically at language model consumers appear periodically. Adoption is inconsistent and support varies by provider, so treat these as low cost and speculative rather than as a requirement.

Which to Fix First Work in that order, because the sequence is roughly cheapest to most expensive and each step is wasted without the one before it. There is no value in earning press coverage if the crawler cannot reach the page it points at.

The result is a content programme aimed at guesses. Sometimes it works by accident. Usually it produces pages nobody retrieves, and the diagnosis that would have directed the effort correctly costs a fraction of what the content did.

Check your robots file, then check your server logs for the relevant agents and see what status codes they receive. A site that returns a challenge to every non-browser request is invisible to this entire channel, and nobody involved will have thought of it as a marketing decision.

The Types That Rarely Earn Their Keep Elaborate breadcrumb hierarchies, speakable markup, deeply nested item lists and most of the specialised types outside their intended vertical produce little observable difference in how a brand is understood or recommended.

It is also worth checking whether you are being confused with somebody else rather than ignored. Short names, generic names and names that begin with a number collide with other organisations more often than distinctive ones. Where that is happening, the answer will contain facts that are true about a different company, which reads as a hallucination and is usually an identity collision with a specific fixable cause.

None of this is a restoration of what was there before. It is an adjustment to a results page that now answers a portion of the questions itself, and the sooner the planning reflects that, the less painful each further change becomes. llm seo

Insist on the raw answers. If a report cannot be disagreed with, it is not a report. This single requirement filters out most of the weak offerings in the market without needing any technical knowledge.

Entity Coherence Before a model can recommend you it has to be confident that the scattered mentions of your name refer to one company. That confidence comes from consistency across the details that identify you.