What is GEO (Generative Engine Optimization)?

Generative engine optimization (GEO) is the work of making sure AI assistants like ChatGPT, Gemini and Claude can find your brand, trust it, and name it when a customer asks for a recommendation. Search engine optimization gets you onto a list of links. GEO gets you into the answer.

You may also hear it called AEO, Answer Engine Optimization. The two are essentially the same idea. This page explains what GEO is, how it is different from SEO, and why it matters for a D2C (direct-to-consumer) brand.

The problem

The problem GEO solves

For a long time, the way people found a product was consistent: type into Google, scan a list of blue links, click one. Search engine optimization, SEO, was the job of being near the top of that list.

That is changing. A growing number of people now open an AI assistant and ask a question directly. ChatGPT alone has more than 900M weekly active users (OpenAI, February 2026). Instead of a list of links, the AI writes a short answer and names a handful of brands. The brands it names win the consideration. The ones it does not name are out of that buyer's consideration, however good their website is and wherever they rank on Google.

GEO is the work of being one of the brands AI names.

It matters for a specific reason: being named inside an AI answer carries an implied recommendation. The AI already did the filtering for you. So a brand that shows up in the answer earns more trust than a blue link ever did, and the buyer is further along the path to purchase before they even visit your website.

The difference

How GEO is different from SEO

It is worth being precise, because the two are often confused.

They are not enemies. They overlap and can work together. But they are not the same job, and a brand can rank well on Google while being completely absent from AI answers, which is exactly what we see when we audit D2C brands.

Under the hood

How AI decides who to name

To do GEO, it helps to understand roughly how AI chooses who to recommend. It is not one magic formula, but it comes down to a few things.

Sources

For product questions, AI answers lean on what other sites say about you: review sites, comparison articles, forums, videos and news, not only your own pages. If those sources do not mention you, the answer has little reason to name you.

Identity

AI has to be sure who you are. Consistent profiles, registry records, a Wikidata entry where you qualify and structured data on your site help it tell your brand apart from others with similar names.

Evidence

When AI reads your pages, specific, sourced claims are easier to quote than vague ones.

In a 2024 study, researchers tested changes to web pages against a simulated AI search engine and found that adding citations, quotations and statistics made those pages more visible in the generated answers. The same paper also tested live Perplexity, where the direction held but the gains were smaller. Treat it as a direction, not a promise.

Access

AI crawlers have to be able to reach and read your pages. Crawler blocks, firewall settings and content that loads only after the page, such as many review widgets and FAQ accordions, can hide what matters. Text inside images is one more example, not the main one.

Change over time

Answers change from run to run, and the signals behind them take weeks to months to build. That is why GEO is measured as a share of answers over time and worked on continuously.

For D2C specifically

Why GEO matters specifically for D2C brands

D2C brands live and die on discovery. There is no shelf, no storefront foot traffic. A buyer has to find you first, and if that finding now starts inside AI, that is where you have to exist.

The highest-intent questions a D2C buyer asks are the comparison and recommendation ones (which brand is best for X). Buyers now put those same questions to AI assistants. Which means the top of your funnel, the moment someone decides to consider you at all, is increasingly happening inside an AI answer.

If you are absent there, it is not a small miss. It means you are not in the consideration set at all. You never compete on price or quality, because you were never in the room.

The D2C version of the GEO problem: your brand can rank well on Google and still be missing from the sources AI reads, hard for AI to verify, or partly unreadable to its crawlers.

The real actions

What GEO work actually involves

Sources

1. ChatGPT weekly active users: OpenAI, February 2026
2. How often AI returns the same brand list: SparkToro, January 2026
3. Research paper: Aggarwal et al., "GEO: Generative Engine Optimization", KDD 2024