Shopping & retail AI readiness statistics
In November 2026, we could only place a site in an industry where our scanner could read the page, so this page covers Shopping & retail sites we could read and says nothing about how many turned our scanner away.
Updated 13:07 UTC · November 2026
Based on the sites Bot Appétit has scanned. Most of these sites come from lists we scan for research. Not a random sample of the web.
How Shopping & retail sites land
Every page we read gets a score out of 100, the number at the top of its report (how scoring works). Each row is a range of scores. Where too few sites score in the lowest ranges, they are joined into one row.
Not enough sites yet There are not enough sites yet to split them by score.
An industry is only known for a page our scanner could read, so these shares are of the Shopping & retail sites we could read.
Based on the sites Bot Appétit has scanned. Most of these sites come from lists we scan for research. Not a random sample of the web.
Better or worse
Not enough history yet.
Based on the sites Bot Appétit has scanned. Most of these sites come from lists we scan for research. Not a random sample of the web.
AI access
Based on the sites Bot Appétit has scanned. Most of these sites come from lists we scan for research. Not a random sample of the web.
What Shopping & retail sites get right and wrong
Passed more often than on the average site: “Open Graph tags for sharing” (44%, against 23% of all sites); “OAuth authorization-server metadata” (20%, against 2% of all sites); “This page declares its canonical URL” (77%, against 59% of all sites). Least often passed: several checks that no Shopping & retail site we could read passed.
Every check, Shopping & retail against all sites
Share of sites that pass each check, over the sites the check applies to. The Gap column is the difference in percentage points between the two shares; a dash means not enough sites yet.
Based on the sites Bot Appétit has scanned. Most of these sites come from lists we scan for research. Not a random sample of the web.
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