Prepare AI-generated ads for Meta and Google

What changed for Meta and Google advertisers in 2026

Meta and Google offer tools that can draft and adapt ad assets, but availability varies by account and placement. Check what is enabled before planning a campaign around it. Google postponed automatic upgrades of Dynamic Search Ads to February 2027; the earlier September 2026 date is no longer the current timetable.

Check what is available in your own account today before planning around a new feature or a proposed change.

This guide covers ad production for both platforms: formats, text, visuals and the checks to make before launch. For planning controlled comparisons, read our AI creative testing framework.

Placements and aspect ratios to prepare

Sending one file to every placement can lead to rejection or awkward crops. Plan a small set of formats and create each deliberately. The list below covers common requirements; confirm dimensions and areas reserved for interface buttons in the platform’s current documentation.

• Meta feeds (Facebook and Instagram): 4:5 vertical is the strongest default for images and video. 1:1 still works as a fallback.
• Meta Stories and Reels: 9:16 full screen. Keep text and logos away from the top and bottom edges, where the interface overlays your ad.
• YouTube in-stream and Discovery: 16:9 for horizontal placements.
• YouTube Shorts: 9:16, with the message landing in the first two seconds.
• Google Display and Performance Max image assets: supply wide (1.91:1), square (1:1) and, where offered, portrait (4:5) images so the system can fit every slot.

Veo 3.1 outputs 16:9 and 9:16, which covers YouTube and Shorts and the full-screen Meta placements. For 4:5 feed video you will generate 9:16 and check the crop, or produce a separate vertical edit. Verify each placement in the platform's preview rather than assuming one clip works everywhere.

Prepare ad material for Meta

Meta's tools reward a clean catalog and clear inputs. If your product images are inconsistent, automated Reels built from them will be inconsistent too. Before turning on any automated creative options, standardize the source material: same background style, same lighting direction, product centered with room around it.

Where automation helps

Reels made from a catalog and simple animations of product photos suit large or frequently changing inventories, where filming every item would be impractical. Voiceovers can reduce the cost of language versions when a native speaker checks the result.

Where you still decide

The first frame, the claim and the call to action. Avatar-style videos borrow the look of a creator ad, and audiences may read them as a person recommending your product. Make sure the words do not promise a personal experience the avatar never had. Testimonial-style scripts are safest when they quote real customer reviews you have permission to use.

Google creative: Veo 3.1, image editing and AI Max

Inside Google Ads, an advertiser can turn a product image or a text description into a clip of up to 8 seconds, with synchronized audio (dialogue, ambient sound and effects) in one pass, and Google's Veo 3.1 accepts up to 3 reference images. The 8-second limit is a feature for ads: you must state the point and show the product quickly. Image editing tools let you change backgrounds and produce variants of a product photo while keeping the product itself recognizable, though you must still check that logos, labels and proportions stay accurate.

AI Max changes the controls available in Search campaigns. Dynamic Search Ads created headlines from your pages; AI Max works from your goals, supplied ad material and landing pages, and can match searches beyond your keyword list. Focus on clear landing pages, accurate images and copy, and the exclusions and brand controls you set. Review pages that are incomplete or contradict the ad before giving them to the automation.

• Check that each key landing page states the offer, price or range, and delivery terms plainly.
• Supply varied headline and description assets, each of which makes sense on its own, because the system will recombine them.
• Set brand and location exclusions before the migration finishes, not after you see odd queries.

What belongs in the text and what belongs in the image

Use the image to attract attention and show the product. Use the ad text to explain the offer and next step. Generated lettering still needs careful checking, so keep headlines and prices editable wherever possible. Even a small error in a price can be costly.

• Put in the image: the product, the setting, the mood. Add short text only when it is a fixed brand phrase you can proofread at a glance.
• Put in the platform text fields: price, offer terms, dates, claims and the call to action. They stay editable, searchable and easy to localize.
• Keep consistent between them: the offer in the image must match the offer in the landing page. Mismatch is a policy risk and a conversion problem.

A short sample brief for a fictional bakery, Ridgeway Loaves, running a 9:16 Reels ad: "Sourdough loaf on a floured wooden counter, morning window light, steam rising, no text in the image, 9:16, leave the bottom 20 percent clear for platform interface." The headline, "Baked before 7am, delivered by 10", goes in the ad text field, where it can be checked and changed without regenerating anything.

AI disclosure and brand-safety review

Both platforms have rules about AI-generated and synthetic media, and those rules change. Meta and Google each publish current policies on labeling and on sensitive categories, so read them before launching avatar or realistic-person creative, and again when you enter a regulated category such as health, finance or politics. Where an ad depicts a realistic person or event that did not happen, disclose it or avoid it.

Beyond platform rules, apply your own review. A person should look at every AI-generated asset for distorted hands, garbled text, a product that does not match the real one, unsupported claims, and anything that could look like an endorsement by someone who never gave one. Provenance metadata is also becoming a standard part of this workflow, and our piece on content credentials for AI marketing covers how it works.

A checklist before launch

Review every set of ads before publication. Allow ten minutes for these checks to catch avoidable errors.

1. Formats: each placement has its own correctly sized asset, and text sits inside the safe zone.
2. First frame: the product or the hook is visible without sound, in the first second.
3. Accuracy: product shape, color, logo, label and price match the real item and the landing page.
4. Claims: each promise can be supported on request, and nothing implies a medical, financial or guaranteed result.
5. Text: spelling and numbers checked by a human, in every language you run.
6. Audio: voice, music and effects are appropriate, and captions match the spoken words.
7. Disclosure: synthetic people or scenes are labeled where the platform requires it.
8. Landing page: loads quickly on mobile, matches the ad and shows the offer within the first screen.
9. Brand controls: exclusions, negative placements and brand-safety settings are set.
10. Tracking: conversion events fire, and the ad names follow your naming convention so results can be read later.

Putting it into a weekly workflow

Keep source photos and brand rules together, generate the formats from one brief, run the checklist and publish the approved versions. In SEENALYZE AI’s ad creation tools, you can prepare Meta and Google ads from your brand identity and preview them before publication. Review the finished ads, then use your testing plan to compare their performance.

For video-led campaigns, the AI video generator handles vertical clips from product photos, which you can check against the checklist above. Whatever tool produces the file, the responsibility for the claim stays with you.

Frequently asked questions

Do I have to use Meta's or Google's built-in generators?

No. You can produce creative elsewhere and upload it. The built-in tools save time on simple variants, while external tools give you more control over brand consistency and review. Many teams use both.

Will my old Dynamic Search Ads campaigns disappear?

Google’s updated timetable schedules automatic upgrades for February 2027, rather than the earlier September date. Review the notices in your account and test any proposed change before applying it.

Should AI-made ads be labeled?

It depends on the platform, the format and the content. Realistic synthetic people or events generally call for disclosure. Check current Meta and Google policies before you launch, since they are updated regularly.