AI shortlist test (GEO)
Checks whether ChatGPT, Perplexity and Gemini name you when a buyer asks for suppliers: turns your ICP into the buyer's questions and reads the answers
Phase 3 · Demand generation engine › SEO and GEO
Buyers ask AI assistants which suppliers to consider, and most teams don't know whether they're on the list.
Be found on Google and named in AI answers for the questions buyers ask when they choose a supplier.
Share of the buyer's questions where search and AI answers name you; pipeline from organic search and AI assistants.
Chasing keywords with high volume and far from the purchase, or treating GEO as a technical trick when assistants mostly cite other people's sites.
Content and SEO, with product marketing and PR; marketing ops for measurement
SEO gets your pages found by search engines. GEO, generative engine optimisation, gets you named in the answers of AI assistants such as ChatGPT, Perplexity and Gemini. More and more B2B buyers ask an assistant which suppliers to consider before they visit any website or talk to sales, so the shortlist starts there.
| SEO · search engines | GEO · AI answers | |
|---|---|---|
| What the buyer types | A few keywords | A full question, often with their context: company size, industry, the tools they already use |
| What they get back | A page of links to choose from | One answer that names a few suppliers, with or without links |
| What wins | Your page ranks high | You're named, and the sources the assistant relies on mention you |
| Where you work | Mostly your own pages | Your pages, plus review sites, communities, comparisons, partners and the press |
| How you measure | Clicks and position | Share of the buyer's questions where you're named, plus what buyers tell you |
SEO still matters: assistants that search the web start from pages that search engines can find and read. GEO adds a layer on top, it doesn't replace SEO.
SEO still matters: assistants that search the web start from pages that search engines can find and read. GEO adds a layer on top, it doesn't replace SEO.
One page for each question that matters in the purchase, written in the buyer's words. The answer comes in the first lines, the detail after. Start from the questions sales hear on calls, not from keyword volumes.
Your own data, price ranges, who the offer is for and who it isn't for, and comparisons that admit where a competitor is the better fit. Assistants repeat specific, checkable facts; they skip slogans.
Review sites, communities, partner pages, industry articles and analyst reports. You can't write these yourself, but you can earn them: ask customers for reviews, take part in discussions, give journalists data.
Text in the HTML and not only loaded by JavaScript, clear headings, an author and a date, structured data, and crawlers allowed in. Many AI crawlers don't run JavaScript: what they can't read, they can't cite.
A typical case: the step in this topic where AI changes the work most, and who does what.
Indicative times, based on a typical case.
Nobody can see how often an assistant names you across all its users. Together, these three signals show a trend, not a total.
Checks whether ChatGPT, Perplexity and Gemini name you when a buyer asks for suppliers: turns your ICP into the buyer's questions and reads the answers
Ten checks before publishing a page, so search engines and AI assistants can read and cite it
How to install the skill: in Claude, upload the zip in Settings, under Skills. In Claude Code, unzip the folder into ~/.claude/skills/. Then just ask: "Here's our ICP and three competitors. Please run the AI shortlist test."
I applied the checklist above to this site on 17 October 2026, the day it went online. The phase pages were built with JavaScript: a crawler that doesn't run it saw about 220 words of labels on the phase 5 page, and none of the method.
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