Building a GEO Content Brief: the 9 Things an LLM Needs to Quote You

Your next big traffic source doesn't have a results page. It has a cursor blinking in a chat box.

When someone asks ChatGPT, Perplexity or Google's AI Overviews a question, they rarely see ten blue links any more. They get a synthesised answer, stitched together from a handful of sources the model decided to trust. If your page is one of those sources, you win the mention, the link and the credibility. If it isn't, you're invisible, no matter where you rank in classic search. Research from GEO firm Brandlight suggests the overlap between the top Google links and the sources AI actually cites has fallen from around 70% to below 20%, so ranking well no longer guarantees you a place in the answer.

Generative engine optimisation (GEO) is the practice of getting your content into those answers. And the dirty secret is that most of the work happens before a word is written, in the brief. A traditional SEO brief is built to satisfy a crawler and a ranking algorithm. A GEO brief is built to satisfy a language model that has to read, trust, lift and attribute a specific passage of your page.

The two overlap, but they aren't the same. Below are the nine things we put in every GEO content brief at Clicky, why each one matters, and how to turn them into a template your writers can actually use.

First, why the brief is where GEO is won or lost

The foundational research here is the 2024 "GEO: Generative Engine Optimization" paper from Princeton, Georgia Tech, the Allen Institute for AI and IIT Delhi, presented at the ACM KDD conference. Testing thousands of queries, it found that content engineered with citations, quotations and statistics could lift visibility in generative answers by up to 40%. Crucially, the three techniques that moved the needle most were adding statistics, citing sources and adding quotations. Not keyword density. Not backlinks. Properties of the content itself: how quotable, how verifiable and how well-structured it is.

That's the whole game. A language model can't ring you up to check a claim. It reads what's on the page, decides whether the passage is trustworthy and self-contained enough to repeat, and either quotes you or moves on. Everything below is about engineering the page so that decision goes your way, and it all has to be specified in the brief, because a writer working without it will default to old SEO habits.

The 9 things an LLM needs to quote you

1. One clear question, answered in the first 60 words

LLMs reward content that answers the query directly and early. One analysis of citation patterns found that 44.2% of all LLM citations come from the first 30% of a page's text, and pages with strong, claim-rich introductions get cited 2.1 times more often than pages that bury the point mid-article.

Each piece should target a single, specific question a real person would type or speak, such as "how do I optimise for AI Overviews" rather than a vague "AI search" topic, and answer it in the opening two or three sentences before any preamble. The brief should state the exact question and require a direct answer up top. This passage is the one most likely to be extracted verbatim, so it needs to stand alone without the surrounding paragraphs. Think of it as writing the pull-quote first.

2. A logical, question-shaped heading structure

Models parse pages through their heading hierarchy. Clean, descriptive H2s and H3s phrased the way people actually ask questions give the model labelled, liftable chunks instead of an undifferentiated wall of text. Google's AI Overviews in particular reward this: question-style headings and tight answer blocks of roughly 130 to 170 words have been shown to lift selection rates significantly.

In the brief, specify the H2s and H3s as questions or clear statements of fact, each mapping to one sub-question. This is the same instinct behind answer engine optimisation, a term now drawing around 320 UK searches a month in its own right: every section should be a complete answer to one thing, so the model can grab the relevant block without needing the rest of the article.

3. Statistics, with sources, in the body

This is the single highest-leverage tactic from the GEO research. Concrete numbers from credible sources make a passage dramatically more quotable, because a model treats a sourced statistic as low-risk to repeat.

The brief should require a minimum number of specific, cited data points, say three to five, each with the source named inline ("according to Semrush", "the Princeton GEO study found"). Vague claims like "many businesses struggle" get ignored. "'Generative engine optimization' draws 1,300 UK searches a month at a keyword difficulty of 67, according to Semrush data from May 2026" gets quoted.

4. Direct quotations and named expertise

Quotations from named people, whether your specialists, recognised authorities or original interviews, signal first-hand experience that models increasingly favour. They also give the model a clean, attributable string to lift.

Brief in at least one or two direct quotes from a named, credentialed person, ideally with their role. "Oli Yeates, CEO of Clicky, says" carries more weight to a model assessing trustworthiness than an anonymous assertion. This is where genuine expertise becomes a measurable GEO asset rather than a nice-to-have.

5. Self-contained, extractable passages

Models lift paragraphs, not whole pages. A paragraph that relies on the previous three to make sense is hard to quote; one that stands alone is easy. The fix is writing in self-contained units, each paragraph stating its point, its support and its context in a few sentences.

The brief should instruct writers to make every key paragraph quotable in isolation: state the claim, back it, and don't lean on "as mentioned above". A useful test is whether you could paste a single paragraph into a chat answer and have it make complete sense on its own. If not, rewrite it.

6. Entity clarity and consistency

LLMs reason about entities such as brands, people, products and places, and they cross-check them across the web. ChatGPT leans heavily on encyclopedic sources, which make up close to half of its top citations, so a consistent presence across your site, Wikipedia, Wikidata, LinkedIn and industry directories makes the model more confident about who you are and more likely to attribute a claim to you by name.

The brief should specify the exact entity names to use and how to use them: your brand spelled consistently, key people named with their roles, products referred to the same way every time. Inconsistent naming dilutes the brand mentions that AI search increasingly rewards.

7. Structured data that matches the content

Schema markup (Article, FAQ, HowTo, Organization) gives machines an explicit map of what your content is and how its parts relate. It won't rescue weak content, but on strong content it removes ambiguity about what to extract.

The brief should flag the relevant schema type and ensure the on-page content actually supports it. A FAQ schema needs real question-and-answer pairs in the copy, not retrofitted markup. The structured data and the visible content have to agree.

8. Freshness and a visible date

Recency is a strong selection signal, especially for Perplexity, which runs a live web search for every query: content published in the previous 30 days has been cited at roughly an 82% rate. The other engines treat freshness as a trust signal for anything time-sensitive, and an undated or visibly stale page is a weaker candidate for citation.

The brief should require a visible publish or updated date, and flag any claims, stats or examples that will need refreshing. For competitive GEO topics, build a review cadence in from the start rather than letting pieces quietly rot.

9. Crawlability for AI bots

None of the above matters if the models can't read the page. The AI crawlers, including GPTBot, OAI-SearchBot, PerplexityBot and Google-Extended, need to be allowed in via robots.txt, and the content needs to be present in the served HTML rather than locked behind JavaScript the crawler won't execute. Because ChatGPT's web search draws on the Bing index, submitting your sitemap to Bing Webmaster Tools is worth adding to the checklist too.

The brief should confirm the target page is crawlable by AI user agents and that the core content renders server-side. This is a technical pre-flight check, but it belongs in the brief because there's no point engineering a quotable page the model never sees.

A worked example: the same fact, briefed badly and briefed well

It helps to see the difference on a single claim. Imagine you're writing about demand for GEO services in the UK.

Briefed the old way, a writer produces: "Interest in generative engine optimisation is growing rapidly as more businesses recognise its importance." It's true, it's keyword-rich, and no model will ever quote it. There's nothing to verify, nothing to attribute and nothing a machine can stand behind.

Briefed the GEO way, the same writer produces: "UK search demand for 'generative engine optimization' has reached 1,300 searches a month at a keyword difficulty of 67, according to Semrush data from May 2026, while the narrower 'answer engine optimisation' draws around 320." That passage is dated, sourced, specific and self-contained. A model can lift it whole, attribute it cleanly, and treat it as low-risk to repeat. Same underlying point, completely different odds of citation.

That's the entire discipline in miniature. The brief's job is to make the second version the default, not the lucky exception.

A quick note on spelling and targeting

The Semrush data throws up a useful point for UK marketers. The American spelling "generative engine optimization" pulls about 1,300 UK searches a month, while the British "optimisation" spelling sits at around 1,000. The gap is narrow, so both are worth capturing, but the practical move is to keep body copy in British English, as we have here, and lean on the slightly higher-volume American spelling in the places search and AI engines weight most heavily: the URL slug, the title tag and the H1. The lower-difficulty terms "geo seo" (880 searches, difficulty 47) and "llm seo" (390 searches, difficulty 22) are easier wins worth working into headings and body copy. You capture the demand without making the page read oddly to a UK audience.

What to measure once it's live

GEO without measurement is guesswork, and the metrics are different from the ones on your SEO dashboard. Position and click-through still matter for classic search, but for generative engines you're tracking three things.

The first is citation share: how often your domain appears as a named source in answers to your target questions, versus competitors. The second is brand mentions in AI search, meaning how frequently the models reference your brand by name even without a link, since that visibility compounds into the entity recognition described above. The third is referral traffic from AI sources, which is small today but growing fast, and which tells you a citation actually drove a human to your site.

It's worth knowing that platforms diverge sharply: one study found only 11% of domains are cited by both ChatGPT and Perplexity, so winning on one is no guarantee of the other. A practical starting point is to take your ten most important questions, ask them across ChatGPT, Perplexity and Google AI Overviews once a month, and log whether you appear, how you're described and who's beating you. It's manual, but it turns GEO from a hunch into a tracked channel, and it tells you which briefs are working.

Putting it into a template

Here's the structure we hand to writers. Lift it straight into your own brief document.

• Target question: the single question this page answers.

• Direct answer (first 60 words): the standalone answer to drop at the top.

• Primary and secondary keywords: pulled from real search data, not guesswork.

• Heading map: every H2 and H3 as a question or fact, one sub-answer each.

• Required statistics: three to five specific data points, each with a named source.

• Required quotes: one or two attributed quotes from named, credentialed people.

• Entities to name: exact brand, people and product names, used consistently.

• Schema type: the structured data this page should carry.

• Freshness: visible date required; note anything needing future updates.

• Technical check: confirm AI-bot crawlability and server-side rendering.

A brief built this way costs a little more time upfront. But it's the difference between content that ranks for a human who may never scroll, and content that gets quoted to the millions of people now asking machines instead of searching.

How GEO and SEO fit together

None of this replaces SEO. Around 92% of AI Overview citations come from pages already ranking in Google's organic top ten, so classic authority and E-E-A-T still feed the machine. GEO is the layer on top: it makes already-good content quotable, attributable and trusted by the models doing the synthesising. The brief is simply where you bake both in at once, instead of bolting GEO on after publication.

If you want help turning this into a repeatable content process, or you'd like us to audit how often your brand currently shows up in ChatGPT, Perplexity and AI Overviews, that's exactly the kind of work our GEO team does.

Frequently asked questions

What is generative engine optimisation?

Generative engine optimisation (GEO) is the practice of structuring and writing content so that AI systems like ChatGPT, Perplexity and Google AI Overviews cite it in their generated answers. Where SEO optimises for ranking position, GEO optimises for being quoted and attributed inside a synthesised response.

Is GEO different from SEO?

They overlap but differ in goal. SEO aims to rank a page in a list of results; GEO aims to get a passage lifted into an AI-generated answer. Strong SEO such as authority, E-E-A-T and crawlability feeds GEO, but GEO adds requirements around quotability, sourced statistics and self-contained passages that traditional SEO briefs don't cover.

How do I get my content cited by AI?

Answer one clear question early, support claims with sourced statistics, include attributed quotes from named experts, write self-contained paragraphs, keep entity naming consistent, add matching schema, show a date, and make sure AI crawlers can access the page. Briefing all nine in before writing is the most reliable route.

How do I rank in ChatGPT?

ChatGPT's search favours authoritative, encyclopedic domains and comprehensive, well-sourced answers. Build topical authority with content clusters, make individual passages quotable and verifiable, submit your sitemap to Bing Webmaster Tools, and ensure GPTBot and OAI-SearchBot can crawl your site. Consistent entity information across the web also helps the model attribute claims to you.

Keyword data: Semrush UK database, May 2026. GEO research: Aggarwal et al., "GEO: Generative Engine Optimization", ACM KDD 2024 (Princeton, Georgia Tech, Allen Institute for AI, IIT Delhi). Citation-pattern and platform statistics drawn from published 2026 GEO analyses.