How-To Guide · Ad Creative Generation

Best Way to Generate Google Ad Image

Learn the three ways to generate Google ad images: AI Image Editor, auto-suggestions, and dynamic assets, plus specs, best practices, and when each method works best.

TL;DR Google Ads gives you three ways to generate images: the AI Image Editor (for Performance Max and Demand Gen campaigns), auto-suggested images during campaign setup, and dynamic image assets pulled from your landing page. Each method suits a different level of control, campaign type, and team size.

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Originally published .

Key Takeaways
  • Google's AI Image Editor builds ad images from text prompts or product photos inside Performance Max and Demand Gen campaigns.
  • Auto-suggested images appear during campaign setup — you review and approve or reject each one.
  • Dynamic image assets pull images from your landing page automatically, with no manual input needed.
  • Keep important content in the center 80% of your image and upload assets in all three aspect ratios: 1.91:1, 1:1, and 9:16.
  • All AI-generated Google ad images are automatically marked with a SynthID watermark and must follow Google Ads policy.
  • For consistent creative across Google, Meta, and TikTok, Coinis Image Ads pairs with Google's native workflow from a single Brand Profile.

What Does "Generate" Mean for Google Ad Images?

"Generate" covers two distinct things in Google Ads. Sometimes AI creates images from a prompt or product photo. Other times, Google's machine learning pulls images from your website automatically.

AI-generated images vs. uploaded images

Uploaded images give you full creative control. You design them, export them, upload them. AI-generated images skip the design step entirely. You describe what you want, or provide a product photo, and Google's AI builds the image for you.

When generation makes sense for your business

Generation works well when you need many variants fast. It helps small teams without designers, or advertisers scaling across multiple placements. If your creative library is thin, generation fills the gap quickly.

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Method 1: Google's AI Image Editor (Performance Max & Demand Gen)

Per Google's Ads Help Center, the AI image editor is available for Performance Max and Demand Gen campaigns inside Asset Studio, found in the Tools menu.

How the AI image editor works

You write a text prompt describing your image. Google AI generates multiple options. You pick the ones that fit and add them to your asset group. The whole process takes seconds.

Text prompts and product image inputs

You can also upload product photos. Google AI places your product in a lifestyle scene. This works best when the product intent is clear. For products with ambiguous context, a detailed text prompt produces better results.

Editing and refining generated images

After generation, you can edit. Replace backgrounds. Remove or add objects. Adjust colors. Crop or expand to fill different aspect ratios. It is a non-destructive edit flow, so the original image stays intact.

Eligibility and availability

Not every account can access the AI image editor yet. Per Google's documentation, your account must be active for 30 or more days, have a positive policy compliance history, and operate with a supported language interface. Supported languages include English, French, German, Spanish, Italian, Portuguese, Dutch, and Japanese. Accounts in sensitive verticals, such as political or pharmaceutical, are not eligible. The feature is rolling out gradually, so availability varies by region and account.

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Method 2: Auto-Suggested Generated Images

Google also creates images on your behalf and surfaces them for approval.

Automatic generation during campaign setup

During campaign setup, Google AI may suggest generated images based on your landing page, your ad copy, and your campaign context. You review each suggestion and choose to use or reject it. Nothing runs without your approval.

How Google's AI sources suggestions

Google pulls signals from your website, your copy, and your account history. The suggestions are not random. They may not match your brand perfectly, so review each one before accepting.

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Method 3: Dynamic Image Assets (Machine Learning)

This method requires no prompts and no manual review.

Pulling images from your landing page

Google's machine learning scans your landing page and extracts relevant images automatically. Those images run as assets in your campaign. You never upload or approve them one by one.

No manual generation required

Dynamic image assets suit advertisers who want hands-off optimization. They work best when your landing page already contains strong, high-quality images.

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Best Practices for Generated Images in Google Ads

Image quality and composition standards

Per Google's Ads Help Center, use natural lighting and organic shadows. Avoid overlaid text, logos, collages, and digitally composited backgrounds. Make your product or service the clear focus.

Safe area and composition guidelines

Per Google's Performance Max documentation, keep important content in the center 80% of the image. Edges may be cropped depending on the placement.

File sizes and aspect ratios

Google recommends three aspect ratios: 1.91:1 (landscape), 1:1 (square), and 9:16 (vertical). Recommended sizes are 1200 x 628 for landscape and 1200 x 1200 for square. The minimum landscape resolution is 600 x 314 px. The minimum square resolution is 300 x 300 px. Maximum file size is 5 MB per image. Performance Max campaigns require a minimum of seven image assets across all three ratios.

How generated images are marked and tracked

Google marks every AI-generated image with open-standard metadata and a SynthID watermark. This identifies it as AI-generated content. The marking is automatic. All generated images remain subject to Google Ads policy, the same as any manually created ad.

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Creating Higher-Quality Generated Images with Brand Input

Using product images for better results

Provide product photos from multiple angles. Avoid shots with multiple items in frame or overly styled arrangements. Clean, single-product shots give Google's AI a clearer reference to work from.

Crafting effective text prompts

Be specific. Include the setting, mood, lighting style, and any colors tied to your brand. Vague prompts produce generic outputs. Specific prompts produce on-brand images.

Testing and iterating on outputs

Generate multiple batches. Test different aspect ratios in the same campaign. Upload 5 to 10 images per ratio for responsive display ads. More variety gives Google's optimization systems more to work with across placements.

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Which Method Is Best for You?

AI editor when you need control and variety

The AI image editor suits brands that want creative oversight. You define the prompt. You approve the output. You control what runs.

Auto-suggestions for quick setup

Auto-suggested images suit advertisers who want speed. They reduce setup time and give you a starting point to build from.

Dynamic assets for hands-off optimization

Dynamic image assets suit performance-focused advertisers who trust Google's machine learning. They work best with well-structured landing pages and an existing image library already in place.

Running Google Ads alongside Meta or TikTok? Google's native tools generate images for Google campaigns only. They do not help you build consistent creative across channels. Coinis Image Ads generate campaign-ready creatives from a product URL or brand brief. Every output starts from your Brand Profile, so the creative is on-brand from the first generation. You can use those assets in Google Ads, Meta, or anywhere else. Direct publishing to Meta is live today. TikTok and Google direct publishing are on the roadmap.

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Frequently Asked Questions

Who can use Google's AI image editor for ads?

Your account must be active for 30 or more days, have a positive policy compliance history, and use a supported language interface (English, French, German, Spanish, Italian, Portuguese, Dutch, or Japanese). Accounts in sensitive verticals like political or pharmaceutical advertising are not eligible. The feature is rolling out gradually, so availability may vary by region.

What image sizes and aspect ratios does Google recommend for generated ad images?

Google recommends three aspect ratios: 1.91:1 (landscape), 1:1 (square), and 9:16 (vertical). Recommended sizes are 1200 x 628 for landscape and 1200 x 1200 for square. The maximum file size is 5 MB per image. Performance Max campaigns require at least seven image assets spread across all three ratios.

Do AI-generated images in Google Ads need a manual disclosure?

No manual disclosure is needed. Google automatically marks every AI-generated image with open-standard metadata and a SynthID watermark. The marking happens automatically. However, all generated images still must comply with Google Ads policy, the same as any other ad creative.

Can I use images I generate with a third-party tool in Google Ads?

Yes. Google Ads accepts JPG and PNG files up to 5 MB. Images created with any external tool can be uploaded directly to your asset library in Google Ads Manager. Just make sure they meet the recommended dimensions and composition guidelines before uploading.

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