All frameworks and cheat sheets

Reference table

Retail shelf vs results page vs AI agent answer

Table comparing a retail shelf, a search results page and an AI agent answer on five properties that make shelf metrics like share of search possible.
An agent answer fails every test that makes a shelf measurable, which is why share of search has no denominator there.

Why shelf metrics stop working when an AI agent does the shopping. The table compares a physical shelf, a retailer results page and an AI assistant's answer on five properties: shared across shoppers, fixed positions, visible to competitors, countable impressions and reproducible on demand. The agent answer has none of them, so research has to go to the shopper instead.

Where this appears

What's in this reference table

PropertyRetail shelfResults pageAgent answer
Shared across shoppersYesApproximatelyNo
Has a fixed number of positionsYesYesNo
Inspectable by a competitorYesYesNot reliably
Produces an impression you can countYesYesNo
Reproducible on demandYesRoughlyNo, varies with phrasing and context

Use this image

Free to use in your docs, decks and posts under CC BY 4.0, as long as you credit Koji with a link to this page. To embed it, paste this into your page:

html
<a href="https://www.koji.so/visuals/retail-shelf-vs-results-page-vs-ai-agent-answer"><img src="https://www.koji.so/visuals/retail-shelf-vs-results-page-vs-ai-agent-answer/retail-shelf-vs-results-page-vs-ai-agent-answer.png" alt="Table comparing a retail shelf, a search results page and an AI agent answer on five properties that make shelf metrics like share of search possible." width="1200" height="773" /></a>
<p>Source: <a href="https://www.koji.so/visuals/retail-shelf-vs-results-page-vs-ai-agent-answer">Retail shelf vs results page vs AI agent answer</a>, Koji</p>