Evidence before opinion

How we decide
what is known.

AI advertising is an evolving category. Our method is designed to keep documented platform facts, practical observations and strategic interpretation distinct.

01

Primary sources first

Platform documentation, policies and first-party announcements anchor factual claims. Secondary reporting provides context, never a substitute for an available primary source.

02

Facts and interpretation stay separate

Documented capabilities are described as facts. Strategic implications, hypotheses and recommendations are clearly presented as our interpretation.

03

Every material claim has a date

AI advertising changes quickly. Research carries a reviewed date, and volatile claims are rechecked before they inform a client recommendation.

04

Uncertainty is part of the answer

When eligibility, formats, availability or measurement are incomplete, we say so. A developing feature is not presented as a settled capability.

The readiness diagnostic

Useful direction.
Not false precision.

The readiness score is a transparent, self-reported planning heuristic. Six dimensions add to 100 points: paid media maturity (20), channel experience (10), goal clarity (10), organic AI foundations (15), landing experience (20), and measurement (25).

Website and category provide context but earn no points. Scores below 45 indicate foundational work, 45–74 indicate gaps to close, and 75 or above indicates preparation for a scoped test. The result is not a platform eligibility decision, website audit or forecast.

Run the diagnostic ↗

Source discipline

Start at
the source.

Our current platform research begins with OpenAI’s published advertising principles and official ChatGPT Ads information. Research pages link directly to the evidence they rely on.

Current platform review: 17 October 2026. This practice is independent and is not affiliated with or endorsed by OpenAI.