Avid Collective

The problem

Most brands are not recommended by the AI models that now decide what people buy.

Your buyer asks once and gets one recommendation. The model writes it from pages you do not own and have never briefed.

Get startedWhy Avid

Generative engine optimisation, or GEO, is the work of becoming the brand an AI model names when someone asks it what to choose. We call it AI visibility, and it is won on other people's pages, not your own.

The shift

The way people decide what to buy has changed.

The answer your buyer reads is written from sources you do not own, have never briefed and could not name.

of Google searches now end without a click to a website, up from 60% two years ago
68%
of Google searches now end without a click to a website, up from 60% two years ago.
SparkToro, using Similarweb clickstream data, June 2026. United States.
of Australian online shoppers use an AI-powered tool or feature at least sometimes when shopping
60%
of Australian online shoppers use an AI-powered tool or feature at least sometimes when shopping.
IAB Australia and Pureprofile, Commerce and Discovery Report, 2026. Australia.
of the sources AI cites when answering are ones the brand does not control; only 10.15% of citations go to brand-owned domains
90%
of the sources AI cites when answering are ones the brand does not control; only 10.15% of citations go to brand-owned domains.
Foundation Marketing and AirOps, May 2026. Market not stated.

Four buying moments

Four kinds of question, each won in a different place.

A buyer asks four kinds of question on the way to a decision. The first two are where a buyer is still choosing, and they are won almost entirely on pages the brand does not own.

  1. Category problem

    01

    Decided by: How often your brand gets named at all

    No brand in the question. The buyer describes a problem and asks what to do about it.

    “What's the best family SUV for long drives and low running costs?”

  2. Consideration set

    02

    Decided by: How often your brand is named, and how early

    A shortlist question. The buyer asks the model to compare and rank.

    “Which mid-size SUV should I buy, and how do the main brands compare?”

  3. Brand validation

    03

    Decided by: How positively the answer describes your brand

    One brand in the question, no rivals. The buyer has nearly chosen and is making sure.

    “Is [your brand] reliable, and what do owners say after a few years?”

  4. Brand navigation

    04

    Decided by: Whether your own pages are the source, and whether they are right

    The decision is made. The buyer wants the practical detail.

    “Where's my nearest [your brand] dealer, and what's in stock right now?”

The first two carry the campaign. The third is a health check on how your brand is described when someone asks about it directly. The fourth is whether a buyer who has decided can act.

Where SEO stops

SEO gets you halfway. The answer is built from pages it cannot reach.

  • What SEO owns

    Your own pages: how they rank, how they read, what an engine finds there. That work still matters, and it stays yours.

  • What SEO cannot reach

    Most of the sources an AI answer is built from sit on pages you do not own. No amount of on-site work edits someone else's article.

  • Third-party citations

    Trusted publishers saying a consistent thing about your brand, on the pages the models already read and trust. This is the lane Avid works in.

~0

correlation between a domain's authority score and whether AI cites it (Spearman -0.073 to +0.026). Offline reputation no longer buys a seat in the answer.

Surfer, July 2026. Market not stated.

Reputation does not buy a seat

Being a big name does not get you into the answer.

A brand can rebuild its entire site and barely move the number that decides whether it gets recommended. What moves it is what the publishers the models read say about you, and how consistently.

The pattern

Credited for the wrong thing, and absent from the shortlist.

AI knows the brand. It will describe it, and rate it well on softer qualities. When the question turns to what to buy, a competitor is named instead, and both answers are decided by the same handful of publishers. It looks like a perception problem, but it is a distribution problem hiding inside one. Nobody owns it yet: SEO cannot reach it, PR cannot agree it or measure it, and brand teams see the symptom without the tools to find the cause.

Two questions we hear first

Isn't this just SEO?

Isn't this just better SEO?

SEO and AI visibility are two halves of one job. Domain authority, a backlink score, predicts almost nothing about whether AI cites a brand. The measured correlation is close to zero (Surfer, July 2026). SEO keeps your own pages in shape. AI visibility gets your brand into the pages you do not own, which is what the answer is built from.

Can't we just fix our own website?

Your own site accounts for a small share of the citations that decide these answers. Independent editorial on pages you do not own accounts for most of them. Keep doing owned content, but it will not move the answer on its own.

That gap is what Avid exists to close.

Why Avid

Is AI recommending your brand?

See how your brand appears in AI answers, and where trusted publisher content can strengthen its visibility.

Get your AI visibility strategy