AI advertising tools
Ad platforms now write the copy, generate the video, pick the audience and set the budget. Every post here separates what is live from what is in testing, and asks the question the platforms do not: who checks the work when the seller of the ads also grades them.
The measured evidence for this topic lives in What gloofy does.
Google AI Mode ads now run in 11 countries, with multiturn ads in the US. Who is eligible, which controls still work, and why the results cannot be isolated.
Meta Advantage+ creative edits ads by default, and Meta's new ad terms are delayed. What is confirmed, what is reported, and how to audit your ads now.
Google AI Max now shows which search term got which headline and landing page, and Google added channel priority controls. What changed and how to audit it.
Meta AI ad tools announced at Advertising Week New York, sorted into live, rolling out and testing, and why creative the platform writes needs an outside check.
Open-weights and small language models for marketing work: what exists, what they cost to run, and how they compare on a public benchmark.
Hooks, angles, ad copy and creative analysis: how to tag what an ad is doing, and what a model can and cannot learn about why it works.
How to tell whether a marketing AI is any good: public benchmarks, blind judging, label quality, seed variance and the claims they do and do not support.
When fine-tuning beats prompting and when it does not, with measured results: LoRA adapters, scaling curves, quantization and label quality.
Safe zones, character limits, aspect ratios and ad policy: the rules that decide whether an ad renders correctly before anyone judges whether it is good.