Google Ads Generative Images for Demand Gen: A Practical Guide

Google Ads supports generative image creation for Demand Gen campaigns: describe a visual, review the suggested images, and choose which assets to use. The useful change is a faster route to creative variations, not a guarantee of better conversion rates. An advertiser still needs an accurate offer, an appropriate landing page, and reliable measurement.

This article originally covered the launch of these tools. The guide below replaces that launch-era overview with a current workflow, separates image creation from audience targeting, and explains how to review an asset before spending money behind it.

What can Google’s generative image tools do?

Google’s generated-image documentation describes prompt-based image creation during campaign setup, asset editing, and in the Asset Library. Suggested images may also appear for review. Availability depends on eligibility; a missing Generate option does not mean that every advertiser can enable it with the same settings.

Keep three different tasks separate:

• Generate: propose a new visual from a description.
• Edit: make a variation of an existing image using an available editing tool.
• Deliver: let the campaign serve eligible ads according to its targeting, bidding, and channel settings.

Generating a picture does not create a qualified audience segment, establish product-market fit, or verify the claims in the accompanying copy. Do not describe every Google Ads AI feature as a single tool.

How to create an image for a Demand Gen ad

In the Demand Gen ad builder, choose a single-image ad, add an image in the Media section, and open the Generated tab. Enter a prompt, generate options, review them, select suitable images, and check the crops before saving. These are the core steps in Google’s Demand Gen creative tools guide; interface details and eligibility can change.

1. Write the brief first. Define the audience’s problem, the offer, the destination page, and the visual’s purpose.
2. Describe the scene. Include the subject, setting, lighting, composition, and anything that must remain out of frame.
3. Review variations. Reject inaccurate product details, misleading contexts, awkward anatomy, and accidental text.
4. Check each crop. The subject and essential information should remain readable in the formats you intend to serve.
5. Review the complete ad. Compare the image, headline, description, business name, and landing page together.
6. Record the version. Save the creative brief and a recognizable asset name so you can later identify what ran.

An original prompt example

For a hypothetical desk-lamp retailer: Show the actual supplied desk lamp on a tidy home-office desk, warm natural light, neutral background, lamp fully visible, no written labels or promotional text. This is a planning example, not a tested high-performing prompt. If the generator changes the lamp’s controls or dimensions, reject that image. A convincing picture can still misrepresent the product.

Review the creative before publishing

Use this original checklist for each selected asset. Keep the reviewer and decision alongside the asset name rather than relying on memory.

• Product accuracy: Does it show what the customer can actually buy?
• Offer consistency: Do price, availability, and included features agree with the destination?
• Evidence: Can you substantiate claims, testimonials, and before-and-after implications?
• Rights: Are you authorized to use the supplied images and recognizable people?
• Crop: Is the important subject visible on a small screen?
• Disclosure: Have you reviewed the platform’s current AI-label settings and applicable requirements?
• Approval: Has a person approved the final combination rather than only the prompt?

Follow Demand Gen’s asset specifications for the formats you choose. Do not assume one landscape design will work unchanged in a square or portrait placement. Preview the rendered ad rather than merely checking the original file dimensions.

What about Performance Max, Product Studio, and audience targeting?

These are related advertising or commerce workflows, but they are not interchangeable with Demand Gen image generation. Start with the campaign or product workspace you are actually using and follow its documentation. Avoid carrying over a feature from a different campaign type just because both use AI.

In particular, an image prompt is not an instruction to create lookalike customers. Audience configuration and customer-list eligibility need their own review. Likewise, do not assume an image editor offers scratch removal, product repair, or any other specific operation unless that operation is documented and available in your account.

Measure a creative test without confusing output with results

Generating twenty images is an output count. It does not prove twenty useful ideas or incremental sales. Begin with a small number of meaningfully different concepts and write down what you expect each to clarify for a prospect.

For the fictional lamp retailer, one concept might show the lamp in a compact workspace; another might show its adjustable position. Keep the offer consistent. Record the campaign dates, spend, clicks, conversion definition, and reported conversion value. Review the lead quality or orders behind those totals before choosing a winner.

Google’s creative refresh guidance cautions that too many new assets over a short period can make reliable testing difficult. Set a review date and budget appropriate to your own campaign. Do not treat a stronger Ad Strength label or an attractive mockup as proof of profitable acquisition.

Prepare the supporting content in BrandWell

Use BrandWell’s current RankWell workflow to prepare and edit supporting content: describe the offer, draft the landing-page explanation, and review its sources and product details. Then compare the approved page with the ad brief. RankWell is the content workflow here; this guide does not claim that it creates or publishes a Google Ads campaign.

For a separate buyer-research workflow, MarketPulse is starting at $500/mo. Intent signals can inform questions to investigate; they do not establish permission to upload a person to an advertising audience or prove that person will purchase.

Frequently asked questions

Does an AI-generated image improve ad performance automatically?

No. It gives you another creative option. Results depend on the message, offer, audience, landing page, measurement, and actual campaign delivery.

Why can’t I see the image-generation option?

Check the current eligibility and account-language guidance in Google’s documentation. Availability can differ; do not follow an old launch announcement as if it described every account today.

Should I replace all photography with generated images?

No. Keep genuine product photography when it communicates the product accurately. Use generation where it helps illustrate a suitable context without changing what you sell or implying unsupported results.

Reviewed and updated October 2, 2026.

Written by

Julia McCoy

Julia McCoy has contributed articles to BrandWell on content marketing, writing, and search engine optimization. This archive retains her original bylines; individual articles may be updated by the BrandWell editorial team.