Next.js AI readiness statistics
In November 2026, we could only tell which sites run on Next.js where our scanner could read the page, so this page covers those sites and says nothing about how many turned our scanner away.
Updated 16:07 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 Next.js 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.
A platform is only detectable on a page our scanner could read, so these shares are of the Next.js 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 Next.js sites get right and wrong
Passed more often than on the average site: “Buttons, links and fields have names” (78%, against 30% of all sites); “Open Graph tags for sharing” (59%, against 23% of all sites); “Core security headers are set” (41%, against 8% of all sites). Least often passed: “AI discovery via DNS” (0%); “Licensing terms for AI (RSL)” (0%); “Text-and-data-mining reservation (TDMRep)” (0%).
Every check, Next.js 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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