Generative engine optimization (GEO): be the name models recommend

What GEO is for

A model asked to recommend an option in a category will rarely read your home page alone. It combines what it has learned with pages retrieved at the time, and those pages are often not yours. They are comparison articles, forums, directories, review sites and news. If those sources describe you wrongly, or do not mention you, the answer will reflect that.

GEO therefore focuses on reputation and entity clarity rather than on page wording. If you want your own pages shaped for quoting, that is answer engine optimization. Where each one stops is spelled out in our GEO vs AEO comparison.

Where models learn about a business

The last row is a rule, not a footnote. Editing a reference page about your own business breaks the site's policies and tends to backfire. We tell clients how to earn a place, which is by being covered by independent sources.

How we work

1. Entity auditWe collect how your business is named, described and categorized across the web and list every mismatch: old addresses, former names, wrong services.
2. Citation mapFor 30 to 40 buyer prompts we record which pages assistants cite, then group them by type. This shows where the influence really sits in your market.
3. Fix what you controlWebsite facts, structured data and profile consistency. This is quick and cheap.
4. Close the gapsFor each cited site that omits you, we decide whether an inclusion is earnable: a listing, a data contribution, a guest piece, a genuine customer review.
5. Create something citableOriginal data, a clear methodology page or a plain explainer that others link to. Assistants and journalists both prefer a source with numbers behind it.
6. Measure monthlyThe same prompts run again. We log mentions, tone and which sources were used.

A worked scenario: a regional services firm

Imagine an accounting firm in Dublin that wants to be named when owners ask for small-business accountants. The citation map shows that most answers draw on two national directories, an accountancy body member list and a handful of local blog roundups. The firm is on one of the directories, under an old firm name, and absent from the rest.

The work is plain. Correct the directory entry. Join the lists the firm already qualifies for. Publish a short, dated explainer on a local rule that owners ask about, with a named author. Reply to existing reviews. Three months later the log may show whether the firm now appears. It may not, and we would report that too. This is an invented example to show the sequence, not a client result.

What you get

• An entity audit listing every inconsistency with the exact fix
• The citation map for your buyer prompts, grouped by source type
• Updated website facts and structured data
• A prioritized outreach and listing plan with effort noted for each item
• A monthly log of mentions and sources, comparable month to month

You get a fixed quote after a short call at our contact page.

Timeline and reporting

Planning estimates: audit and map in three weeks, own-property fixes in weeks four to six, then outreach over the following months. Third-party mentions are slow because other people decide them, and models update on their own schedule. We set expectations in months, not weeks.

Reporting has two halves. Your own Google Search Console covers branded search impressions and clicks, which tend to rise when mentions rise. The prompt log covers presence in assistants and is labeled as a sample. We do not claim one caused the other without evidence.

Related work and limits

We have no published GEO case study, so we do not cite one. Brand-consistency work we have done includes the website, ads and Instagram for Gātha, where the aim was one look and voice across channels. That is a related discipline, not proof of AI visibility.

GEO is a poor fit for a business with no customers yet and nothing independent written about it. Start with the basics: a clear site, a few real reviews and one useful piece of original work.