What is GEO? How artists get recommended by ChatGPT

What is GEO?

GEO (Generative Engine Optimisation) is the practice of making a brand, artist or business visible inside AI-generated answers. Where classic SEO earns you a ranking on a results page, GEO earns you a citation or recommendation inside the response itself, in tools like ChatGPT, Claude, Perplexity and Google’s AI Overviews.

The distinction matters because the behaviour is shifting. A growing share of “where should I…”, “who should I…” and “what’s the best…” questions never reach a results page at all. The answer box is the new front page, and most brands have no idea whether they appear in it.

You may also see this called AEO, or Answer Engine Optimisation. For our purposes the two terms describe the same job: getting your brand cited inside AI answers via structured, authoritative, answer-shaped content. Whatever the label, the question is the same: when someone asks an AI for a recommendation in your category, does your name come up?

GEO vs SEO: what’s the difference?

SEO gets you onto the results page; GEO gets you into the answer. They share most of their foundations, but they optimise for different end-points, and the difference shapes how you write, structure and earn coverage.

With classic SEO, the prize is a high ranking on a Google results page. Someone searches, sees ten blue links, and chooses one. Your job is to be that link, and the click belongs to you. With GEO, the prize is being named, quoted or cited inside the answer the assistant writes. Often there is no list of links to scroll, and frequently no click at all: the user reads the response and acts on it. So the unit of success moves from “rank position” to “are we the source the model trusts”.

A few practical contrasts:

• The surface. SEO competes on a results page with a predictable layout. GEO competes inside a generated paragraph that’s assembled fresh for each prompt. There’s no fixed “position one”.
• The query. SEO is tuned to keywords. GEO is tuned to natural-language questions: longer, more specific, more conversational (“who’s a good UK soul artist for a late-night playlist?”).
• The signal. SEO leans heavily on links and on-page relevance. GEO adds entity clarity and citability: can the engine confidently say who you are, and can it lift a clean, factual sentence straight from your page?
• The measurement. SEO is measured by rankings and clicks. GEO is measured by how often the engines name and cite you when asked.

The good news: this isn’t a rebuild. Strong technical SEO, clean structured data and genuinely useful content are the bedrock of both. GEO simply asks you to go a step further: to write in a way machines can quote, and to be consistent and authoritative enough that they’re willing to.

How do AI assistants choose which artists to recommend?

AI engines recommend what they can retrieve, verify and attribute. In practice, that means artists with a consistent entity footprint (same name, same facts, everywhere), coverage on sources the engines trust (press, playlists, encyclopedic and industry sites), and a home site whose content is structured enough to be quoted directly.

An artist with great music but a thin, inconsistent web presence is effectively invisible to these systems. Not penalised, just never surfaced.

A concrete music example

Picture a fan opening ChatGPT and typing: “Recommend me some up-and-coming UK soul artists with a warm, late-night sound.” The model doesn’t browse Spotify in that moment. It draws on what it has read across the open web and what it can verify right now. It will name artists whose identity is unambiguous and whose presence supports the description being asked for.

Now take two artists with comparable music. The first has the same name and bio everywhere, a tagged genre, press write-ups that use the words “UK soul” and “late-night”, playlist placements that reinforce the same story, and an artist site with a clear, plain-text “about” section and event schema. The second has a brilliant catalogue but a patchy footprint: a different name spelling on two platforms, no genre framing in any coverage, and a site built almost entirely from images. When the question is asked, the first artist is retrievable, verifiable and quotable, so the engine surfaces them. The second simply isn’t reachable in a form the model can stand behind, so they’re left out, not because the music is weaker, but because the machine couldn’t safely connect the dots.

That gap is what GEO closes. The goal isn’t to trick the engine; it’s to make the true story of an artist legible to it.

How do you improve your GEO?

You make yourself easy to retrieve, verify and quote, then earn the authority that makes the engine confident. In practice we work through a repeatable list:

1. Fix your entities. Lock down one canonical name, bio, genre and location, and make them identical across your site, socials, streaming profiles and press. Inconsistency is the single biggest reason brands get skipped.
2. Write answer-first content. Take the real questions people ask in your category and answer each one in the first one or two sentences, then expand. Models lift clean, self-contained statements far more readily than buried ones.
3. Add structured data. Mark up your pages with the right schema (MusicGroup, Person, Event, Organisation, FAQPage) so machines parse who you are and what you do without guessing.
4. Put your proof in plain text. Results, dates, credits and key facts belong in crawlable text, never locked inside images, video or PDFs the engine can’t read.
5. Earn authoritative coverage. Pursue the press, playlists, directories and industry sources the engines already trust, so your story is corroborated somewhere beyond your own site.
6. Measure and iterate. Track who the engines name for your category questions, watch the movement month over month, and feed what you learn back into the content and coverage.

None of these steps is exotic, and most reinforce your conventional SEO at the same time. The discipline is in doing them consistently and keeping them aligned as your brand grows.

What makes an artist or label citable?

• Entity consistency: name, genre, location and key facts identical across Spotify, socials, press and the artist site.
• Answer-shaped content: pages that ask the question fans ask, and answer it in the first two sentences.
• Schema and structure: MusicGroup, Person, Event and FAQ markup so machines parse you correctly.
• Plain-text proof: results, dates and facts in crawlable text, never locked inside images or video.

How do you measure AI visibility?

You ask the engines, systematically. We run a tracked panel of category questions across ChatGPT, Claude, Perplexity and AI Overviews monthly, log who gets named and cited, and report movement the same way we report rankings. It’s also exactly what our free growth review does for your brand: a snapshot of what AI currently says about you.