GEO — becoming a source generative engines cite

Generative Engine Optimization is reputation work with a technical floor. When an engine composes an answer rather than returning links, it does not pick the best-formatted page — it assembles a claim from sources it can retrieve, resolve and corroborate. GEO is the work of becoming one of those sources. It is a slower discipline than AEO, and it fails for different reasons.

The mechanism GEO is built around

A generative answer is not a lookup. Simplifying only slightly, the engine retrieves candidate material, resolves the entities involved, weighs how consistently the claim appears across sources it trusts, then writes an answer and attributes some of it. Four failure points, and only the first is under your direct control:

1. Retrieval. If your content cannot be fetched and parsed, nothing downstream happens.
2. Resolution. If the engine cannot work out that “you” are a single, identifiable organisation, it has nobody to attribute to.
3. Corroboration. A claim only you make is a claim the engine has no reason to repeat.
4. Selection. Among corroborated sources it chooses, and credibility decides.

This is why GEO cannot be bought as an on-page fix. Points 3 and 4 live outside your website.

Where this differs from AEO — concretely

AEO asks whether a machine can lift a clean answer out of one of your pages. GEO asks whether the web as a whole gives an engine a reason to name you. A site can be excellent at the first and invisible at the second: perfectly structured pages, no independent corroboration, never cited. The reverse also happens — a widely-referenced organisation gets cited from a badly-built page, because the corroboration carried it.

Practically: AEO is mostly page work and can show movement in weeks. GEO is mostly entity and corroboration work and moves in months. We scope them separately so neither is sold on the other’s timeline.

The floor almost nobody clears

Before corroboration matters at all, the machine has to be able to resolve you. We measured how common that failure is. The AI Search Readiness Benchmark covered every Wikidata-listed Indian business website with an official site on record — 2,596 hosts, 1,948 answered, on 3 September 2026:

• 1,061 of 1,944 expose no Organization entity for an engine to attribute anything to.
• 438 declare an entity but no self-consistent canonical address for it — the entity exists and points nowhere stable.
• Only 445 (22.9%) clear all four preconditions we tested.
• Meanwhile only four sites block OpenAI’s search crawler. Access is not the constraint. Legibility is.

Caveats stated plainly: Wikidata over-represents notable companies, and we read server-delivered HTML only, so the structured-data figures are upper bounds. Dataset and verification script are published.

What we do

Entity foundation

One resolvable organisation: Organization markup with a stable canonical URL, consistent name, logo and contact point, and sameAs pointing at the profiles that actually represent you. Then the same facts stated the same way everywhere they appear. Inconsistent identity is the most common and most fixable GEO defect.

Retrieval hygiene

Deliberate crawler policy rather than an accidental default — including the increasingly common case of permitting search crawlers while declining training crawlers, which is a coherent commercial position. Server-rendered content for anything that must be retrievable. Clean canonicals so the engine sees one address per fact.

Corroboration

The slow part, and the honest one. Claims a reader can verify elsewhere; original data others have reason to reference; editorial mentions earned rather than placed. We publish our own research partly because it is the same mechanism we are asking clients to invest in.

Claim discipline

Vague, unattributable or unverifiable statements are exactly what a careful engine declines to repeat. Specific, sourced, dated claims are repeatable. This changes how pages are written, not just how they are marked up.

Observation

We sample how engines describe your category and whether you appear, and track the direction over time. What we do not do is report a citation percentage as if it were a stable metric — see below.

What GEO cannot honestly promise

• No guaranteed citation. No provider controls a generative engine’s source selection.
• No stable share figure. Generated answers vary by phrasing, session, region and model version. A single-number “AI visibility score” implies a stability that does not exist; we report samples with their dates and their prompts.
• No fast results. Corroboration accrues. A provider promising generative-answer presence in weeks is selling the AEO timeline for GEO work.

Who this is for

• Organisations whose buyers now research through assistants before ever reaching a search results page.
• Brands that are well known offline and invisible to machines — usually an entity-resolution problem, and the most tractable case.
• Businesses with genuine proprietary data or expertise that is currently unpublished, and therefore uncorroborable.

If the immediate problem is that you do not rank at all, start with SEO services. If it is that you rank and the answer is being taken without you, start with AEO. AI Search SEO is the umbrella that decides the sequence.