← Tech Blog "Want to Opt Out of AI Training? You Have These Tools — Each With a Catch"
1 min read321 reads

"Want to Opt Out of AI Training? You Have These Tools — Each With a Catch"

#GEO #AI opt-out #robots.txt #AIPREF #noai

There is no single “off” switch

There are plenty of ways to opt out of AI training, but they’re scattered, each covering one slice:

Mechanism Controls Catch
robots.txt (AI UAs) Which crawler may fetch which paths Voluntary; small crawlers ignore it
AIPREF Content-Usage Standardized “train vs search” preference Delivery draft expired 2026/5; no RFC yet
noai / noimageai meta Page-level “don’t train on this” Non-standard; major vendors mostly honor it
W3C TDMRep /.well-known training reservation, EU legal basis Still a CG report
trust.txt datatrainingallowed Site-level training reservation Not enforced by mainstream AI
IPTC best practices Bundles the above into a publisher kit Guidance, not new power
CC Signals Reciprocity / attribution ask Pilot, no teeth

The shared catch: it’s all voluntary

None of these has legal or technical enforcement — they all rely on crawlers honoring them. Big vendors usually respect robots and noai; small crawlers scrape anyway. Even AIPREF, the one most trying to become a real standard, saw its deployable draft expire by May 2026. This layer is far from settled.

The biggest trap: over-blocking backfires

“Block training” and “keep being cited” are two different things. Many people, blocking training, also block the search/citation bots and vanish from AI answers without knowing (see Block the wrong bot). Before you act, decide: are you blocking “training,” or “everything”?

Pragmatic advice

If you really want to block training, do it well with the mechanisms big vendors honor (robots AI UAs + noai) and don’t pile on the rest; always allow the search bots. Treat the newer standards (TDMRep, CC Signals, IPTC) as good to know, not a reason to rebuild. Over-engineered opt-out is costly to maintain and easy to get wrong — which is exactly why it’s worth checking regularly rather than setting once and forgetting.

Did this resonate?

16 reacted

Discussion 17