AI Image Ad Generator

Static ads look easy and fail quietly. A feed image has about a second to earn a stop, and the things that decide it, the hook, the product's size in frame, whether the price is readable on a phone, whether the logo is actually your logo, are exactly what generic AI image tools get wrong. Stock-looking renders with an invented logo do not survive contact with a real brand manager.

Then there is the placement problem. The same creative has to live at 1:1 in Feed, 4:5 on Instagram, 9:16 in Stories with the bottom third covered by platform UI, and 1.91:1 in a link ad. Stretching one image five ways crops the CTA, hides the price, or puts the headline under a profile chip. Most teams either produce one size and hope, or pay a designer to resize by hand.

And volume. Meta's auction burns through fresh creative in days, so a brand needs a steady supply of genuinely different angles, not ten recolors of one idea. Producing that volume on brand, in every size, and knowing which angles are worth launching before spending on them is the whole job.

Every image runs past a panel of synthetic personas built from your buyer segments. Each persona sees the actual pixels, not a text description, and answers with a click intent (will click, might click, no interest), a sentiment, and first-person feedback on what hooked them and what felt off. A separate scoring pass rates six dimensions, attention, relevance, emotional resonance, persuasion, brand fit and clarity, and code combines them with per-platform weights into a 0 to 100 engagement score.

Because the score is computed rather than improvised, re-tests are comparable: change the headline, re-run the panel, and read the delta. Insights spawn variants with written reasoning, and a lineage thread shows the original, the feedback and the improved versions side by side.