Automotive & transport 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 Automotive & transport sites we could read and says nothing about how many turned our scanner away.
Updated 21:07 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 Automotive & transport 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 Automotive & transport 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 Automotive & transport sites get right and wrong
Passed more often than on the average site: “Open Graph tags for sharing” (49%, against 26% of all sites); “A machine-readable published / updated date” (31%, against 12% of all sites); “Core security headers are set” (25%, against 11% of all sites). Least often passed: several checks that no Automotive & transport site we could read passed.
Every check, Automotive & transport 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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