02 / AI discovery

When buyers ask AI who to trust,make sure your name is in the answer.

Xpand measures where your brand appears across AI answers, strengthens the sources those systems can retrieve and tracks whether your visibility moves.

Discuss the constraint See the operating system

Direct access to Joel HouseScope follows the commercial constraintOne system from signal to revenue

01 / What GEO means here

A new discovery surface. Not a new word for geotargeting.

Generative engine optimization improves the likelihood that a brand, product or expert is accurately represented, mentioned or cited when an AI system answers a relevant buyer question. It adds a new research journey and measurement layer to a strong search foundation.

The brand is absent when buyers ask AI systems to compare their options.

Owned pages make claims that the wider web does not independently corroborate.

Teams optimize screenshots and anecdotes without a repeatable baseline.

Vendors sell magic files, special schema or model-training claims they cannot control.

The operating system

Measure the answer. Strengthen the evidence. Measure again.

AI outputs vary by system, prompt and time. A serious GEO program samples that variability, records the baseline and changes what can actually be controlled: web evidence, content clarity, entity consistency and credible external sources.

Map the questions

Define the discovery, comparison and validation questions buyers ask, then prioritize them by commercial importance.

Measure visibility

Repeatedly sample priority prompts to observe mentions, citations, context and competitive share across supported AI systems.

Strengthen evidence

Improve owned-source clarity, publish citation-worthy assets and earn relevant third-party corroboration.

Re-test + learn

Track prompt cohorts over time and connect movement to AI referrals, branded demand and assisted enquiries where data allows.

Built around the constraint

Instrumented GEO—not improvised AI theatre.

There is no single file or markup trick that makes an AI recommend a company. The program combines measurement with the evidence systems most likely to improve accurate retrieval and citation.

AI visibility baseline

Repeated prompt sampling across supported systems, organized by buyer stage and commercial importance.

Competitor citation map

Who appears, which sources support them and where the market's current evidence excludes your brand.

Entity + source audit

Crawlability, factual consistency, organization and expert clarity, structured data alignment and profile accuracy.

Citation-worthy assets

Original research, decision frameworks, transparent comparisons, expert guides, tools and evidence-led case studies.

External corroboration

Digital PR, expert commentary, relevant publisher outreach and authoritative profiles that verify the brand beyond its own domain.

AI visibility reporting

Mention and citation share, newly observed sources, context, sentiment, referrals and assisted outcomes where measurable.

Outrigger / AI visibility research

95,392Data points across five AI models

The foundational AI Visibility Index evaluated 1,000 businesses. In the April 2026 baseline, 65.9% were invisible across all five systems tested. Measurement is the beginning of the strategy—not an afterthought.

Outrigger is a separate AI-visibility product and joint venture involving Joel House and Andrew. Its research may inform an Xpand engagement, but it is not owned by Xpand and is not the agency offer.

A strong fit

This works when…

Buyers use AI tools to research, compare or shortlist your category.
The business already has credible expertise, customers and web evidence.
Leadership accepts that outputs vary and wants a repeated baseline.
SEO, content and authority can be improved as one evidence system.

Probably not yet

This is not for…

Anyone demanding control over a ChatGPT citation or recommendation.
A request to solve visibility with llms.txt or special schema alone.
A business unwilling to substantiate its claims publicly.
Teams looking to replace expertise with mass-generated articles.

Straight answers

Before you commit.

01What does GEO mean?

Here GEO means generative engine optimization: improving how accurately and visibly a brand appears when AI systems answer relevant buyer questions. It does not mean geographic ad targeting.

02Is GEO different from SEO?

They share foundations such as crawlable useful content and external authority, but the buyer experience and measurement differ. SEO earns ranked discovery and clicks. GEO observes synthesized answers, brand mentions and supporting citations.

03Can Xpand control AI citations?

No. Outputs vary by model, prompt, time and retrieval behavior. Xpand establishes a measured baseline, executes transparently and observes change over time; an independent AI provider controls its own response.

04Do we need llms.txt or special AI schema?

No special file forces inclusion. llms.txt may help some agents discover information, but it is not a Google AI requirement. Structured data should clarify visible facts; it should not be sold as an AI-ranking button.

05What role does Outrigger play?

Outrigger is an independent AI-visibility product and joint venture involving Joel House and Andrew. It records how brands appear across tracked AI systems. Xpand may use its research or platform data during a GEO engagement, but Outrigger is not owned by Xpand and is not the agency service.

The next conversation

Stop guessing whether AI can see you.

Xpand establishes the baseline, maps the competitor evidence gap and decides whether GEO should lead—or support another move in the wider revenue system.

Find the revenue leaks