How to Use Gemini in Google Ads to Build Better Campaigns

Back in January 2024, Google made a move that caught the attention of advertisers. The company announced that Gemini would begin powering the conversational experience inside Google Ads, giving marketers a chat-based way to build Search campaigns, organize themed ad groups, suggest keywords, and generate creative assets directly within the platform. Google described it as the first of many Gemini integrations planned for Google Ads.

That announcement raised a simple question. Google was going all in on Gemini; where did that leave advertisers who still relied on spreadsheets, manual research, and the same campaign-building process they had followed for years?

No worries, this guide explains how to use Gemini in Google Ads, where it fits into campaign management, and the practical steps that can help you build stronger campaigns using Google's latest AI capabilities.

Understanding Gemini's Role in Google Ads

Gemini is Google’s family of AI models. Within Google Ads, Gemini capabilities support tools that help advertisers create Search campaigns, generate campaign assets, analyze performance, and receive account-specific guidance. Inside Google Ads, it acts as a conversational layer that helps advertisers build campaigns, generate assets, analyze performance data, and discover optimization opportunities through natural language prompts.

Unlike traditional campaign management, which usually involves manual keyword research, audience analysis, ad creation, and ongoing adjustments across multiple screens, Gemini streamlines many of those tasks by bringing recommendations and campaign guidance directly into the workflow. Faster setup, deeper insights, and quicker access to data allow advertisers to spend less time navigating menus and more time making informed strategic decisions.

Gemini for Google Ads in 2026: What Advertisers Need to Know

As of today, Google has stated that the chatbot itself does not currently show advertisements. However, that does not mean Gemini has no role in advertising. Google is also introducing AI-powered ad experiences within Search, including AI Overviews and AI Mode. These placements are separate from the Gemini-powered tools advertisers use inside Google Ads to build and manage campaigns. 

This allows businesses to gain visibility within AI-generated search results without advertising inside the Gemini app itself. For advertisers, the key takeaway is simple. Opportunities connected to Gemini already exist, and businesses that prepare their campaigns now can put themselves in a stronger position as these experiences continue to grow.

How to Use Gemini in Google Ads Step by Step

Step 1: Start a New Search Campaign

Sign in to Google Ads, select the option to create a new campaign, choose an appropriate campaign objective, and select Search as the campaign type.

Step 2: Enter Your Website or Landing Page

Provide the page that best represents the product or service you want to advertise. Google uses this information to understand the offer and begin developing campaign suggestions.

Step 3: Describe What You Want to Promote

Explain the product, service, audience, location, or campaign goal in clear language. More specific information can lead to more relevant suggestions.

Step 4: Review the Suggested Ad Groups

The conversational experience may suggest one or more themed ad groups based on your website and business information. Check whether each group represents a distinct product, service, or customer intent.

Step 5: Review Keywords and Creative Assets

Evaluate the suggested keywords, headlines, and descriptions. Remove irrelevant terms, verify every claim, and adjust the wording to match your brand and offer.

Step 6: Complete the Campaign Settings

Review geographic targeting, budget, bidding, conversion goals, audience settings, assets, and landing pages before publishing.

Step 7: Monitor Performance After Launch

Once the campaign begins collecting data, review search terms, conversions, cost per acquisition, asset performance, and recommendations. Use Ask Advisor where available to investigate changes or identify potential improvements.

Google’s documented conversational experience is designed specifically to help create new Search campaigns with themed ad groups, keywords, and creative assets. 

How to Use Gemini in Google Ads for Better Campaign Performance

Gemini has become a practical tool for advertisers who want to spend less time on manual campaign setup and more time improving results. These strategies can help you get the most out of Google's AI capabilities while maintaining control over your advertising decisions: 

1. Optimize Google Ads Conversational Experience 

Campaign planning usually starts with several moving parts. You research keywords, review audience data, study competitors, and organize campaign ideas before creating a single ad. Gemini simplifies that process by turning campaign planning into a Google Ads conversational experience. Instead of manually gathering information from multiple reports, you can describe your business goals and receive suggestions that help shape your strategy.

Gemini can assist with:

• Campaign themes

• Audience targeting ideas

• Keyword opportunities

• Ad messaging suggestions

• Landing page recommendations

This conversational approach helps organize campaign development from the beginning. Ideas remain connected to the prompts you provide, making it easier to refine your strategy over time. 

2. Build Search Campaigns With Gemini 

Building a Search campaign manually can be time-consuming. Advertisers typically spend hours researching keywords, creating ad groups, writing copy, and selecting targeting options before a campaign is ready to launch. Gemini helps reduce much of that workload by generating campaign components based on your website, landing page, and business information.

The process becomes more efficient because Gemini can help create:

Campaign Element	How Gemini Helps
Keywords	Suggests relevant search terms
Ad Groups	Recommends logical campaign structure
Headlines	Generates headline ideas
Descriptions	Creates supporting ad copy
Targeting	Suggests audience opportunities

This faster workflow gives advertisers more time to focus on strategy, testing, and performance analysis. Rather than spending hours building campaigns from scratch, teams can concentrate on improving campaign quality and achieving stronger results.

3. Strengthen Ad Copy and Creative Assets

Strong creative assets help Google match ads with the right audience. Gemini supports this process by generating headlines, descriptions, and creative ideas based on campaign goals and business information. These suggestions provide a starting point that advertisers can refine to match their brand voice and objectives.

A strong asset library should include:

• Multiple headline variations

• Different description options

• Relevant images

• Product information

• Landing page content

Google's automated systems perform better when they have access to a variety of high quality assets. More options allow the platform to test combinations and identify which messages resonate with different audiences. Gemini helps speed up asset creation, but human review remains important to ensure accuracy, relevance, and consistency across campaigns.

4. Integrate Performance Max and AI Max Campaigns

Performance Max and AI Max campaigns sit at the center of Google's AI-driven advertising strategy. Many of Google's newest advertising experiences are built on top of these campaign types, making them increasingly important for advertisers who want to stay competitive.

Google’s AI tools can support these campaigns through:

• Asset generation and customization

• Broader search-term matching

• Final URL expansion

• Automated bidding and placement decisions

• Performance analysis through tools such as Ask Advisor

Businesses that maintain strong campaign structures, complete asset groups, and accurate data provide better inputs for Google's automation systems. This creates a stronger foundation for campaign performance and future AI-driven opportunities. Advertisers using Performance Max where appropriate and testing AI Max features in eligible campaigns will be better prepared to evaluate new AI-powered opportunities across Search, Shopping, and other Google channels.

Read more: Google Ads AI Max Campaign Tutorial 2026 (Step-by-Step Setup for Beginners)

5. Use Better Data to Improve Targeting

Even the most advanced AI systems depend on the quality of the data they receive. Google Ads automation relies on campaign and conversion signals to support bidding, matching, recommendations, and optimization. Gemini-powered tools can then use available account information to provide more relevant assistance and suggestions. Poor data can limit performance because Google's systems have less reliable information to work with.

Key data sources include:

• Conversion tracking

• Audience signals

• Product information

• Website content

• Customer interactions

Regular audits help identify tracking errors, reporting gaps, and outdated information before they impact campaign performance. Accurate data allows Google's systems to understand which users are most likely to convert and which actions contribute to business goals. Better data improves targeting accuracy and creates stronger recommendations throughout the optimization process.

6. Expand and Maintain Your Asset Library

Many advertisers treat campaign assets as creative materials only. Gemini views them differently. Headlines, descriptions, images, videos, feeds, and landing-page content give Google more information about what you offer and which messages may be relevant to different searches.

Asset Type	Purpose
Headlines	Communicate key messages
Descriptions	Provide supporting details
Images	Improve visual relevance
Product Feeds	Supply structured product data
Website Content	Add context and authority

A limited asset library restricts Google's ability to personalize ad experiences. Fresh assets give Gemini more information to work with and create additional opportunities for optimization. Regular updates help maintain relevance as products, services, and customer interests evolve.

7. Optimize Your Merchant Center Feed 

Merchant Center feeds have become increasingly important as Google's AI systems generate shopping recommendations and product suggestions. Gemini uses feed information to understand products, identify customer intent, and determine which items should appear in relevant searches.

A strong feed helps Google understand:

• What the product is

• Who the product is for

• Key product features

• Product specifications

• Shopping relevance

Weak feeds create information gaps that make product matching less accurate. Detailed and accurate feed information improves Google's understanding of your inventory and strengthens eligibility for AI powered shopping experiences. Regular feed maintenance ensures product information remains current and gives Gemini the context needed to surface products in relevant search experiences.

8. Use Structured Data to Help Gemini Understand Your Website

Merchant Center feeds provide structured product information, while Google’s advertising and search systems may also use relevant landing-page and website content to understand what a business offers. Structured data, commonly called schema markup, helps Google's systems interpret page content with greater accuracy. It provides clear signals about products, services, reviews, and business information.

Schema Type	Purpose
Product Schema	Product details, pricing, availability
Review Schema	Customer ratings and feedback
FAQ Schema	Common questions and answers
Organization Schema	Company and business information

Schema reduces ambiguity and makes important information easier for AI systems to identify. Structured data does not guarantee visibility in AI-generated results, but it can provide clearer context and support Google’s broader understanding of eligible website content.

9. Create Content That Gemini Can Use

Content plays a major role in how Gemini interprets websites, products, and campaign assets. Generic content provides limited context, while detailed content helps Google's systems understand what a business offers and who it serves. Pages should focus on answering real customer questions and providing useful information.

Strong content typically includes:

• Specific product details

• Clear customer benefits

• Real-world use cases

• Practical information

• Common customer questions

Gemini evaluates content based on accuracy, context, relevance, and structure. The more specific the information, the easier it becomes for Google's systems to match content with user intent.

Weak Signal	Strong Signal
Running shoes	Lightweight running shoes with arch support for flat feet
Fast delivery	Delivery within 2 business days across the UK
Durable material	Full grain leather tested for daily use

Specific details create stronger relevance signals and support better visibility in AI-powered search experiences.

10. Leverage Ask Advisor in Google Ads

Ask Advisor in Google Ads brings a conversational layer to AI-powered Google Ads campaigns. Instead of manually reviewing multiple reports, advertisers can ask questions and receive recommendations based on account performance and campaign data. This makes it easier to uncover opportunities and identify issues before they affect results.

Ask Advisor can help with:

• Campaign performance reviews

• Optimization recommendations

• Audience analysis

• Trend identification

• Asset improvement ideas

• Campaign health monitoring

Regular use helps advertisers stay informed about account performance without spending excessive time navigating reports. The tool works best when treated as an ongoing optimization resource rather than a one-time checkup.  

Limitations of Using Gemini in Google Ads

Gemini-powered tools can accelerate campaign creation and analysis, but their outputs still require human review. Advertisers should watch for the following limitations:

• Generated headlines or descriptions may contain inaccurate or unsupported claims.

• Suggested keywords may be overly broad or irrelevant.

• Automatically selected landing pages may not match the intended offer.

• Recommendations may focus on increasing conversions without accounting for profit margins or operational capacity.

• AI tools may not understand offline business constraints unless relevant data is supplied.

• Generated assets must still comply with Google Ads policies and brand requirements.

• Applying recommendations without testing can increase spend without improving business results.

Treat Gemini as an assistant rather than an autonomous campaign manager. Review every suggested change against performance data, business goals, customer intent, and advertising policies. 

Preparing Your Account for Future Gemini Ad Opportunities

Google is expanding Gemini-powered tools and ad formats across its advertising and commerce products. Regardless of which new features become available, advertisers will benefit from maintaining accurate measurement, relevant campaign assets, complete product data, and well-organized account structures. The table below highlights the most important steps you can take today to prepare your account for future Gemini advertising opportunities:  

Preparation Area	What to Do	Why It Matters for Gemini
Run Performance Max Campaigns	Launch and actively manage Performance Max campaigns where appropriate.	Google is building many AI-powered advertising experiences on top of Performance Max infrastructure.
Adopt AI Max Features	Enable and monitor AI Max capabilities within eligible campaigns.	AI Max helps Google understand broader intent signals and supports newer AI-driven ad experiences.
Audit Search Term Sources	Review matching behavior and search term reports regularly.	AI-powered matching can expand reach significantly. Regular audits help maintain relevance and reduce wasted spend.
Strengthen Your Asset Library	Add multiple headlines, descriptions, images, videos, and creative variations.	Gemini relies on available assets when generating personalized ad experiences and recommendations.
Improve Merchant Center Feeds	Keep titles, descriptions, attributes, and specifications complete and accurate.	Product feeds help Gemini understand products and generate shopping recommendations.
Implement Structured Data	Add Product, Review, FAQ, and Organization schema across your website.	Structured data provides clearer signals that help Google's AI interpret content accurately.
Create Detailed Website Content	Publish product information, service details, FAQs, and buying guidance.	Gemini pulls information directly from website content when generating recommendations and responses.
Maintain Accurate Conversion Tracking	Verify conversion actions, enhanced conversions, and attribution settings.	AI systems perform best when they receive reliable conversion signals and business outcomes.
Keep Audience Data Updated	Refresh audience lists and customer data regularly.	Better audience signals improve targeting accuracy and support AI-driven optimization.
Monitor Emerging AI Features	Stay informed about new Gemini, AI Mode, and Google Ads updates.	Early adopters can test new opportunities and adapt campaigns before competitors.
Use Ask Advisor Regularly	Review AI-generated recommendations and optimization insights.	Ongoing guidance helps identify gaps that may affect future AI eligibility and performance.
Focus on Data Quality	Conduct regular audits of feeds, tracking, assets, and website information.	Clean data gives Gemini stronger signals and supports more accurate decision-making.

Read more: How to Use Claude AI to Optimize Meta and Google Ads Performance

To Sum Up

Google's investment in AI continues to reshape how campaigns are planned, built, and optimized. Advertisers no longer need to rely solely on manual research and campaign management to uncover opportunities. Gemini-powered experiences such as the conversational campaign builder and Ask Advisor complement broader Google Ads automation, including AI Max features and Performance Max campaigns.

Success still depends on strong fundamentals. Accurate tracking, detailed product feeds, structured data, useful content, and high-quality assets give Google's AI systems the information they need to deliver better results. Businesses that strengthen these areas today will be better prepared for future AI-driven advertising experiences.

A clear understanding of how to use Gemini in Google Ads can help advertisers adapt to these changes, improve campaign performance, and stay ahead as Google's advertising ecosystem continues to evolve.

Ready to Get More from Google Ads?

Google's AI tools can improve campaign efficiency, but strong results still require the right strategy behind them. Gray Bay Marketing combines expert Google Ads Management with data-driven execution to help businesses generate better leads and stronger returns. As a trusted paid media agency, we also offer LLM SEO Services as part of our broader digital marketing solutions, helping brands stay visible across both traditional search and emerging AI-powered experiences.

FAQs

Can Gemini create Google Ads campaigns automatically?

Gemini can help generate campaign ideas, ad copy, keywords, audience suggestions, and campaign structures. Advertisers still review, refine, and approve recommendations before launching campaigns.

Is Gemini available in all Google Ads accounts?

Google continues expanding Gemini-powered features across Google Ads. Availability may vary depending on account type, campaign type, and regional rollouts.

Can Gemini improve campaign performance?

Gemini can support campaign performance by helping advertisers identify opportunities, generate assets, streamline workflows, and uncover insights faster. Results still depend on campaign strategy, targeting, budget, and data quality.

Does Gemini replace keyword research?

No. Gemini can assist with keyword discovery and campaign planning, but advertisers should still validate keyword relevance, search intent, and performance data before making decisions.

How does Gemini use Merchant Center feed data?

Gemini relies on product information such as titles, descriptions, attributes, and specifications to understand products and generate relevant shopping recommendations within AI-powered experiences.

How do Google Ads AI tools help advertisers save time?

Google Ads AI tools help automate tasks such as campaign planning, asset creation, bidding, audience targeting, and performance analysis. By using AI tools, advertisers can spend less time on manual work and focus more on strategy and optimization.

Are AI-powered Google Ads campaigns better than traditional campaigns?

AI-powered Google Ads campaigns can process large amounts of data and make real-time adjustments that would be difficult to manage manually. While AI-powered campaigns can improve efficiency, strong campaign structure, accurate tracking, and quality assets still play an important role in overall performance.

What role does structured data play in Gemini visibility?

Structured data helps Google's AI systems understand website content more accurately. Product, Review, FAQ, and Organization schema provide additional context that can support AI-generated recommendations and search experiences.

Can Gemini help with Performance Max campaigns?

Gemini-powered tools such as Ask Advisor may help advertisers analyze Performance Max results, investigate performance changes, troubleshoot issues, and receive creative suggestions. Performance Max itself also uses Google AI for bidding, targeting, creative combinations, and cross-channel delivery.

What is the best way to start learning how to use Gemini in Google Ads?

Start by using Gemini for campaign planning, asset creation, and performance analysis. Combining these features with accurate tracking, strong product data, and high-quality content will help you get the most value from Google's AI capabilities.