Does Google still have Local Services Ads?

Yes. Google Local Services Ads still exist in 2026, but the way businesses manage them is changing. Google has begun transitioning existing Google Local Services Ads into a specialized type of Performance Max campaign with pay-per-lead goals inside the main Google Ads platform.

The important distinction is that the core Local Services advertising experience is not simply disappearing.
Businesses still pay for valid leads rather than standard ad clicks.

• Ads continue appearing in local placements on Google Search and Google Maps.
• Campaigns remain keywordless and rely on services, service areas, and business information for targeting.
• Google began migrating select U.S. advertisers in August 2026.
• Additional businesses are expected to transition in late 2026 and throughout 2027.
• After an account migrates, campaign management moves from the separate Local Services Ads dashboard into Google Ads.
• Historical LSA performance reports will not automatically transfer, so advertisers should preserve important reporting before migration.

For businesses using Google Local Services Ads to generate calls, messages, and bookings, this is primarily a platform and campaign-management change rather than the end of the advertising format.

Google Local Services Ads Are Changing, Not Disappearing

For years, Local Services Ads have given eligible local businesses another way to appear prominently when people search for nearby service providers. The format has been particularly relevant for businesses such as plumbers, HVAC contractors, electricians, roofers, cleaners, landscapers, movers, and other service-based companies.

In 2026, Google began bringing that experience more directly into its broader Google Ads ecosystem.

Google says existing Local Services Ads campaigns are being migrated to a specialized Performance Max campaign with pay-per-lead goals. Advertisers whose accounts have migrated will manage their campaigns, targeting, budgets, and customer inquiries through Google Ads rather than the separate Local Services Ads dashboard.

That wording can create some confusion because “Performance Max” is typically associated with campaigns that can run across several Google properties. These new campaigns work differently.

Google’s pay-per-lead version is specifically designed around local customer acquisition. According to Google, these campaigns continue to serve through Google Search and Google Maps rather than across the full collection of placements associated with conventional Performance Max campaigns.

In other words, businesses should think of this less as Google eliminating LSAs and more as Google changing the system used to operate them.

What Is Staying the Same With Local Services Ads?

Several of the characteristics that made Local Services Ads distinctive are staying in place.

The biggest is the pay-per-lead model. Rather than paying whenever someone clicks an advertisement, participating businesses are charged when a potential customer contacts the business through a qualifying lead action.

Depending on campaign eligibility and configuration, those customer interactions can include calls, messages, and certain booking actions.

Other important elements remain familiar:

Local visibility remains central.
These campaigns continue to focus on connecting businesses with customers searching for services in relevant geographic areas.

Search and Maps remain the primary placements.
Google says the migrated campaigns continue appearing on Google Search and Google Maps in the same types of placements used by Local Services Ads.

Campaigns remain keywordless.
Unlike a traditional paid search campaign where advertisers build keyword lists, pay-per-lead campaigns use business categories, service types, geographic targeting, and information associated with the business to determine relevant opportunities.

Verification carries forward for migrating advertisers.
Google says existing verification status and the Google Verified badge, where applicable, transfer during migration rather than requiring businesses to start the process from scratch.

For advertisers, these similarities matter because the fundamental objective remains the same: generate direct inquiries from people actively looking for local services.

What Is Changing With Google LSAs in 2026?

The most visible change is where advertisers manage their campaigns.

Once an account has completed the migration, Google says the advertiser will no longer use the original Local Services Ads dashboard for that campaign. Attempting to access it will instead redirect the advertiser into Google Ads.

That consolidation brings LSAs closer to a business’s other paid advertising activity, but it also introduces several operational changes.

Budgets move from weekly to daily

Google is converting historical weekly Local Services Ads budgets into average daily budgets. According to Google, the previous weekly amount is divided by seven when calculating the new daily average.

Businesses should review those settings after migration rather than assuming everything will look identical to the former dashboard.

Some bidding controls are changing

Manual bidding options such as setting a maximum cost per lead are no longer supported after migration.

Google has also said that vertical-level Target CPA settings are not supported in the new system. Businesses advertising multiple service categories may therefore need to rethink how campaigns are separated when different services require different bidding strategies.

Historical reports will not automatically transfer

This is one of the most important practical considerations for existing advertisers.

Google states that previous Local Services Ads campaign performance data will not migrate into Google Ads. That can include historical metrics businesses may use to evaluate lead volume, spend, and past advertising performance.

Businesses that rely on historical LSA reporting should preserve the information they need before their migration takes place.

When Is Google Moving Local Services Ads Into Google Ads?

Google is handling the change in phases rather than migrating every account at once.

The first phase began in August 2026 for selected U.S. home and storefront service advertisers. Google lists categories such as plumbing, HVAC, electrical services, appliance repair, house cleaning, lawn care, roofing, pest control, and moving among the businesses included in the initial transition.

Google’s published timeline currently looks like this:

August 2026:
Selected U.S. home and storefront service businesses begin migrating.

Late 2026:
The transition expands to broader groups, including additional service-area businesses, professional services, and accounts using certain custom bidding or booking configurations.

2027:
Google plans to expand migration to remaining supported categories and non-U.S. advertisers that were not transitioned during 2026. Some categories with more advanced verification requirements are scheduled later in the process.

Not every advertiser will therefore see the same interface at the same time.

Google says account administrators should receive advance notice before a scheduled migration, including an email approximately 14 days before the transition and notifications within the existing dashboard.

That means a business still using the original LSA interface in 2026 is not necessarily behind. Its account may simply not have reached its migration phase yet.

What Should Businesses Do Before Their LSA Account Migrates?

Businesses already generating leads through Local Services Ads do not need to panic or rebuild everything immediately. Google is automatically transferring many campaign settings as accounts migrate.

However, this is a good opportunity to review how Local Services Ads fit into the broader customer acquisition strategy.

Before migration, consider:

Preserving historical performance data you may need for future comparisons.
Confirming that your Google Business Profile information is accurate.
Reviewing service categories and service areas.
Checking who is listed as the account administrator so migration notices reach the right person.
Reviewing lead quality and understanding which services consistently generate worthwhile inquiries.
Documenting existing budgets and performance benchmarks so results can be compared after migration.
Evaluating whether different service categories should remain together or be separated under the new campaign structure.

Google says existing targeting information—including locations, service types, business categories, schedules, budgets, and business photos—is intended to transfer automatically during migration.

That makes the transition easier, but automation does not eliminate the need for oversight.

A campaign that technically migrates successfully can still benefit from reviewing budget allocation, service targeting, lead handling, and the broader relationship between paid search and organic local visibility.

Local Search Is Still Bigger Than One Google Ad Product

The LSA transition is also a useful reminder that local visibility should not depend on a single advertising format.

Local businesses increasingly appear across multiple Google experiences: traditional search results, map results, Google Business Profiles, paid advertisements, local service placements, AI-generated answers, and other discovery surfaces.

That makes accurate and consistent business information increasingly important.

A strong local digital strategy should consider how a company is represented across:

Google Business Profile
Local organic search
Google Maps
Paid search
Local Services and pay-per-lead advertising
Customer reviews and reputation
Service and location pages
Helpful website content
AI-driven search and answer experiences

Paid lead generation can create immediate opportunities, while strong organic and local visibility can help build a broader presence over time.

The goal should not be to chase every new Google product individually. It should be to build a digital presence that gives both potential customers and search platforms clear information about who the business serves, what it offers, and where it operates.

The Name May Be Changing, but Local Lead Generation Is Not

So, does Google still have Local Services Ads?

Yes—but the platform behind them is evolving.

Google is transitioning Local Services Ads into specialized Performance Max campaigns with pay-per-lead goals inside Google Ads. The management interface and some campaign controls are changing, while key LSA characteristics—including local Search and Maps visibility and paying for valid leads instead of ordinary clicks—remain part of the experience.

For businesses already using LSAs, the most important next steps are to watch for Google’s migration notice, preserve historical reporting, and review campaign settings once the transition occurs.

And for businesses looking at the bigger picture, this change is another reason to coordinate paid advertising, local search optimization, website content, Google Business Profile management, and emerging AI search visibility rather than treating each channel separately.

Zenergy Works helps businesses evaluate how these pieces work together and develop digital strategies built around stronger visibility and qualified customer opportunities. If Google’s LSA changes have you reconsidering your local advertising or AI-focused content strategy, reviewing your current search presence is a practical place to start.

What do the latest ChatGPT Ads updates mean for advertisers?

OpenAI is rapidly turning ChatGPT Ads from an emerging advertising experiment into a more complete performance advertising platform. New capabilities give advertisers greater control over audiences, conversion measurement, reporting, campaign optimization, and campaign management—all while OpenAI continues expanding ad availability internationally. (Search Engine Land)

Key developments include:

• More flexible custom audience management and targeting options.
• Stronger conversion matching and more detailed performance reporting.
• Reporting for impressions and clicks at the individual carousel-card level.
• View-through conversion reporting alongside click-based attribution.
• Planned conversion optimization that considers both click-through and view-through conversions.
• A ChatGPT Ads Manager plugin that lets advertisers create, manage, troubleshoot, and analyze campaigns using natural-language instructions.
• Continued global expansion across Europe, India, the Middle East, North Africa, and other markets.

For marketers, the bigger story is that ChatGPT Ads are beginning to gain the measurement and optimization infrastructure necessary to become a more serious part of paid media strategy.

Why OpenAI Is Building More Than Another Ad Placement

When advertising first appeared in ChatGPT, one of the biggest questions for marketers was whether it would develop into a meaningful advertising channel or remain a relatively limited experiment.

The latest updates provide a much clearer answer.

OpenAI is building the underlying systems advertisers need to operate campaigns at scale: audience controls, attribution, conversion data, reporting, automated optimization, APIs, and increasingly AI-assisted campaign management. Search Engine Land characterized the September 2026 updates as an expansion of the platform’s targeting, measurement, optimization, reporting, and workflow infrastructure. (Search Engine Land)

That matters because successful advertising platforms depend on far more than having an audience. Marketers also need to know who they can reach, what happened after an impression or click, which campaigns generated meaningful results, and how those campaigns can be improved.

ChatGPT is increasingly developing those capabilities.

Better Conversion Measurement Could Make ChatGPT Ads More Actionable

One of the most significant changes involves attribution and conversion measurement.

OpenAI’s advertising reporting can include one-day view-through conversions for eligible accounts. A view-through conversion occurs when someone converts after seeing an eligible ad without a qualifying ad click receiving credit. When both a qualifying impression and click exist, the click takes attribution priority. (OpenAI Help Center)

That distinction is important because user behavior inside an AI interface may not always resemble traditional search advertising behavior.

A person could discover a brand during a ChatGPT session, continue researching, and eventually convert without clicking the advertisement immediately. Looking only at direct clicks could therefore provide an incomplete view of advertising influence.

OpenAI also plans to introduce conversion optimization that incorporates both click-through and view-through conversions. Under the planned model, campaigns would be billed by impression while delivery is optimized toward an advertiser’s chosen conversion objective. (Search Engine Land)

For advertisers, that could eventually mean:

More complete visibility into how ChatGPT advertising contributes to conversions.
Optimization around business outcomes rather than clicks alone.
Better comparisons between ChatGPT advertising and other paid media channels.
More useful data for determining where advertising budgets should be allocated.

These capabilities move the platform closer to the automated performance models marketers already encounter across major paid search and social platforms.

Audience Controls and Detailed Reporting Make the Platform More Mature

Measurement is only one component of the expansion.

OpenAI is also providing greater flexibility for advertisers building and managing custom audiences. At the same time, reporting is becoming more granular.

Ads Manager can report impressions and clicks at the carousel-card level, while product-level data can be accessed through the Insights API. OpenAI distinguishes these card impressions from billable advertising impressions. (Search Engine Land)

Granularity matters because advertisers need to know more than whether an overall campaign performed well.

They need to understand which messages, products, creative elements, and audience combinations are producing results. Better reporting makes it possible to identify those differences and refine campaigns accordingly.

That progression is familiar from other advertising ecosystems. New platforms may initially provide basic reach and engagement metrics, but their usefulness for performance marketers increases as attribution, audience segmentation, APIs, creative reporting, and optimization become more sophisticated.

ChatGPT appears to be moving through that same evolution at a rapid pace.

Advertisers Can Manage ChatGPT Campaigns With Natural Language

Perhaps the most distinctly AI-native development is the ChatGPT Ads Manager plugin.

Advertisers can use the tool through ChatGPT or Codex to create, manage, analyze, and troubleshoot advertising campaigns using natural-language instructions. According to Search Engine Land, the system can generate advertising from a website or campaign brief, produce variations, diagnose campaign issues, recommend changes, and ask advertisers to approve recommended modifications before applying them. (Search Engine Land)

This could significantly change the advertising workflow.

Instead of manually navigating every campaign setting or building every report from scratch, marketers may increasingly be able to describe what they want:

“Show me which campaigns generated the strongest conversion rate.”

“Create several ad variations based on this landing page.”

“Identify campaigns that are underperforming and recommend changes.”

The broader implication extends beyond ChatGPT Ads themselves. Marketing platforms are steadily moving toward interfaces where professionals specify objectives in ordinary language while AI systems handle more of the execution and analysis.

Human strategy does not disappear in that model. In many ways, it becomes more important.

If execution gets easier, competitive advantage increasingly depends on choosing the right audience, offer, positioning, creative direction, conversion goals, and overall strategy.

ChatGPT Ads Are Expanding Globally

The advertising platform is growing geographically at the same time its capabilities are expanding.

OpenAI announced on August 31, 2026 that self-service ChatGPT Ads access was expanding across India, Europe, the Middle East, and North Africa. The company said ChatGPT Ads were available in more than 40 countries through its advertising solutions team and agency and technology partners. (OpenAI)

OpenAI also reported that ChatGPT Ads had reached a $1 billion annualized revenue run rate less than 200 days after launch and were being used by tens of thousands of advertisers. (OpenAI)

Those numbers suggest OpenAI is treating advertising as an increasingly important part of its business rather than a small product test.

For marketers, international expansion also creates more opportunities to test how advertising performs across different audiences and markets.

There is an important limitation to keep in mind, however: advertising availability and personalization rules can vary by market. OpenAI notes, for example, that personalized ads are not initially available in the European Economic Area or Switzerland. (OpenAI Help Center)

Businesses considering the platform will therefore need to evaluate both advertising capabilities and region-specific requirements.

Paid ChatGPT Ads and Organic AI Visibility Are Two Different Opportunities

The growth of advertising inside ChatGPT raises another important question: Does advertising in ChatGPT affect whether a business appears in ChatGPT’s answers?

OpenAI says it does not.

The company states that advertising runs separately from the models generating ChatGPT responses. Advertisers cannot pay to shape, rank, or change those answers, and sponsored placements are labeled separately from the response itself. OpenAI also says advertisers do not receive access to users’ private ChatGPT conversations. (OpenAI Help Center)

That creates two distinct opportunities for marketers.

Paid AI visibility involves using advertising products such as ChatGPT Ads to reach relevant audiences through sponsored placements.

Organic AI visibility involves developing authoritative, useful, well-structured digital content that AI-driven search and answer systems can understand, retrieve, reference, or use when responding to relevant questions.

Businesses should not assume one replaces the other.

The emerging landscape looks increasingly similar to the broader search ecosystem, where paid advertising and organic visibility can serve different stages of the customer journey. A strong digital strategy may ultimately need to consider traditional SEO, paid search, AI-focused content optimization, and advertising inside AI platforms as interconnected—but distinct—channels.

The Next Search Strategy May Include Both Answers and Ads

ChatGPT Ads are becoming much more than a sponsored placement beneath an AI response.

OpenAI is assembling the audience tools, conversion measurement, reporting, APIs, optimization models, international availability, and AI-assisted campaign workflows required for a serious advertising ecosystem. The result could give businesses another way to reach consumers precisely when they are researching products, evaluating options, and making decisions.

At the same time, the separation between sponsored placements and ChatGPT’s organic answers makes one point particularly important: businesses need to think about visibility across the entire AI discovery experience, not just advertising within it.

That means understanding where paid opportunities make sense while continuing to create useful, credible digital content that strengthens organic visibility across search engines and AI platforms.

As AI changes how customers discover and evaluate businesses, Zenergy Works can help organizations assess their digital visibility and develop an AI-focused content strategy designed for this evolving search landscape.

Category Archives: Ads Marketing

Does Google Still Have Local Services Ads? What’s Changing in 2026