7 min
AI ad disclosure: what New York, Pennsylvania, the EU and the platforms require
AI ad disclosure rules differ by trigger. What New York, Pennsylvania, the EU, Google and Meta require, what a label costs, and how to track it per asset.
ad safe zones
Platform specs and compliance
Facts a model should be told, not trained on: where platform chrome covers a 9:16 creative, how long a headline can be, what gets an ad rejected. Practical reference, kept current as the platforms change.
The measured evidence for this topic lives in Safe-band scoring.
3 posts
5 min
Google RSA character limits: the numbers, the traps, and why AI copy still breaks them
Google RSA character limits are 30 for headlines, 90 for descriptions and 15 for paths. The traps, a checker you can copy, and why they belong in the prompt.
6 min
Instagram Reels safe zone: the exact margins, and why they belong in your brief
The Instagram Reels safe zone is 14% top, 35% bottom and 6% each side. Pixel values, a pre-launch check, and why it matters before Meta's US ad freeze.
Other topics
- AI ad platforms
What Meta, Google and TikTok are automating in advertising, what the announcements actually ship, and what that leaves for an independent model to check.
- Marketing LLMs and open models
Open-weights and small language models for marketing work: what exists, what they cost to run, and how they compare on a public benchmark.
- Ad creative and copy
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.
- Benchmarks and evaluation
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.
- Fine-tuning and building models
When fine-tuning beats prompting and when it does not, with measured results: LoRA adapters, scaling curves, quantization and label quality.