Google is changing how target-based bid strategies behave when campaigns are constrained by budget, aiming to make performance more consistent with advertiser targets even as budgets fluctuate.

The update will take effect on August 17th, with a new Bid Target Adjustment Tool becoming available on July 6.

What’s happening. Google says campaigns using target-based bidding strategies, such as Target CPA, will more closely align with their configured targets when budget limitations exist.

The company is also introducing a Bid Target Adjustment Tool that will allow advertisers to review and modify targets before the changes take effect.

Why we care. Campaigns that have been outperforming their target CPA or ROAS goals may no longer continue doing so automatically after the update. Google’s changes are designed to make budget-constrained campaigns adhere more closely to their stated targets, which could alter performance and efficiency if targets haven’t been reviewed recently.

For example, a campaign using a Target CPA of $10 that is currently achieving a $5 CPA could see performance move closer to the $10 target unless the advertiser updates the target setting.

The new Bid Target Adjustment Tool gives advertisers a chance to proactively update bidding goals before the August rollout. For some advertisers, failing to adjust targets could mean paying more per conversion or seeing performance shift toward Google’s target rather than the campaign’s historical results.

Why Google is making the change. According to Google, the update is intended to reduce volatility and create more predictable performance when advertisers increase, decrease or otherwise adjust campaign budgets.

The company says the new tool will help advertisers align bidding targets more closely with actual business objectives before enforcement begins.

What advertisers should do. Google is encouraging advertisers to review campaigns that use target-based bidding strategies and evaluate whether existing targets still reflect desired outcomes.

Advertisers will receive notifications in their Google Ads accounts before the rollout and can use the Bid Target Adjustment Tool to identify campaigns that may be affected.

Between the lines. The update could have significant implications for advertisers whose campaigns are consistently outperforming their targets. In some cases, maintaining current performance levels may require lowering target settings rather than leaving them unchanged.

Bottom line: Google is tightening the relationship between target-based bidding goals and actual campaign performance, making it more important for advertisers to regularly review and update bidding targets as business conditions change.

Reddit is rolling out a suite of new advertising products powered by its Community Intelligence engine, betting that authentic user conversations have become one of the most influential forces in consumer decision-making.

What’s happening. Reddit is introducing new ad products designed to help brands tap into the platform’s vast repository of consumer conversations, which now includes more than 25 billion posts and comments.

The company says the new tools will help advertisers create more relevant campaigns, accelerate purchase decisions and improve performance by leveraging insights derived directly from Reddit communities.

Why we care. Reddit is giving brands new ways to turn authentic community conversations into ad creative, shopping experiences and performance signals.

As more consumers use Reddit to research and validate purchase decisions—including AI-generated recommendations—these tools could help brands reach high-intent audiences with messaging rooted in real user sentiment.

New creative tools. Reddit is launching several new AI-powered creative features.

Free-form ad generator (Beta)

The tool automatically combines information from a brand’s website with relevant Reddit conversations to create ads inspired by Reddit’s long-form post format.

The goal is to help advertisers build campaigns that feel more native to the platform.

Tailored creative assets (Beta)

Using AI, Reddit identifies relevant communities and audience segments, then generates customized headlines and image variations designed to improve ad relevance.

The feature is currently available for Max Campaigns.

Redditor Highlights (GA)

Now generally available, the feature allows eligible brands to incorporate real Reddit conversations directly into their ads.

Ads can display summaries of community sentiment alongside related organic posts, helping brands showcase authentic customer perspectives.

Shopping Listing Ads (Alpha). Reddit is also entering the shopping ads space with a new ad type. The new format matches products from participating advertisers to relevant conversations and displays them in a carousel format.

The experience mirrors how users already compare products and seek recommendations within Reddit discussions.

Performance gets an AI boost. Alongside the new ad formats, Reddit says it continues to invest heavily in machine learning across its advertising platform.

They highlighted early testing results from a new six-second engaged video view optimization goal, which delivered:

• A 130% increase in view-through rates.
• A 71% improvement in video completion rates.

Reddit says its combination of machine learning and Community Intelligence enables more contextual ad targeting and content understanding across the platform.

Bottom line. Reddit is turning its vast archive of user conversations into advertising products, giving brands new ways to build campaigns, influence purchase decisions and improve performance using insights drawn directly from community discussions

Google Ads is automatically enabling conversion-based customer lists for eligible advertisers starting, with data processing scheduled to begin on Aug. 18.

The update applies to advertisers already using both Enhanced Conversions and Customer Match but who have not yet activated conversion-based customer lists.

Why we care. As privacy changes continue to reshape digital advertising, Google is increasingly encouraging advertisers to rely on first-party data. Conversion-based customer lists provide another way to build audiences using customer data already collected through conversions.

The feature could help advertisers create more relevant audience segments and improve campaign performance without requiring additional implementation work.

The details. Eligible advertisers do not need to take any action. Beginning Aug. 18, Google will start processing data and automatically make conversion-based customer lists available within affected accounts.

Advertisers can then choose whether to attach those audiences to campaigns and ad groups as part of their targeting strategy.

The catch. Advertisers who do not want the feature enabled can opt out before Aug. 18 by disabling conversion-based customer lists within their account settings.

After that date, Google will begin processing data and generating the lists automatically.

First spotted. This update was spotted by JXT Group Founder Menachem Ani, who shared the comms he recevied about it on X.

Google Ads is changing how Smart Bidding strategies are labeled, separating target-based bidding strategies from volume-based bidding strategies.

Starting this month, “Maximize conversions with a Target CPA” will once again be called Target CPA, while “Maximize conversion value with a Target ROAS” will return to Target ROAS.

Why we care. The change is designed to make it clearer whether a campaign is optimising for maximum volume or attempting to hit a specific performance target.

The details.

• Maximize Conversions remains available for advertisers focused on driving as many conversions as possible within budget.
• Maximize Conversion Value remains available for advertisers focused on generating the highest conversion value possible within budget.

What isn’t changing. The update is purely organisational.

Google says there are:

• No changes to bidding behaviour
• No changes to campaign performance
• No changes required from advertisers

Campaigns will continue to bid exactly as they do today.

For API users. Google is also aligning the interface more closely with how bidding strategies are represented in the Google Ads API.

Developers should review integrations, reporting tools, and campaign creation workflows to ensure they correctly recognise standalone TARGET_CPA and TARGET_ROAS strategy types.

Google is encouraging API users to monitor future updates related to:

• The BiddingStrategyType enum
• Standalone TargetCpa and TargetRoas messages
• Optional target settings within MaximizeConversions and MaximizeConversionValue

Bottom line. Nothing changes in how Smart Bidding works, but advertisers may find campaign setup and reporting easier to understand as Google restores Target CPA and Target ROAS as clearly defined standalone strategy names.

One of the hardest lessons in PPC has nothing to do with bidding strategies, keywords, or campaign structure. It’s knowing when to walk away from a client.

On a recent episode of PPC Live The Podcast, performance marketing strategist Laura Abreu shared how taking on the wrong client early in her career became one of her most valuable professional lessons.

When your gut is telling you something

Laura’s first client was launching an ecommerce store selling beauty products from well-known brands. On the surface, it seemed like a great opportunity, but something felt off.

The products were available elsewhere at the same price, giving customers little reason to buy from an unknown retailer. Despite her concerns, Laura ignored her instincts and accepted the project anyway.

Great marketing can’t fix a weak business model

The team tried everything. Search campaigns, Meta ads, seasonal offers, product bundles, PR activity, and customer testimonials.

After three months of testing and optimisation, they hadn’t generated a single sale. The issue wasn’t the marketing. The business simply hadn’t established a compelling reason for customers to choose them over established competitors.

The importance of market validation

Many business owners believe hiring a marketer will automatically create growth. In reality, marketing amplifies demand—it doesn’t create it.

Today, Laura asks prospective clients whether they’ve tested the market, generated sales, and gathered customer feedback before investing in advertising. If the foundations aren’t there, paid media won’t solve the problem.

Pretty creative doesn’t equal performance

One of the biggest mistakes marketers make is judging creative based on personal preference rather than data.

The team invested heavily in creating beautiful visuals, but attractive creative alone wasn’t enough to drive sales. Customers don’t buy because an ad looks good; they buy because the offer resonates with their needs.

The emotional cost of a bad client

The failed project affected Laura far beyond the campaign results. As many marketers do, she tied her self-worth to the outcome.

The experience damaged her confidence so much that she stopped taking PPC clients for a period of time. Looking back, she realised she was carrying responsibility for a business problem that advertising could never have fixed.

Why expectations matter

One lesson Laura now applies with every client is setting expectations early and clearly.

Rather than promising immediate growth, she positions advertising as a way to test assumptions, validate demand, and uncover opportunities. This creates more honest conversations and avoids unrealistic expectations from the outset.

Why Laura doesn’t work with friends or family

Perhaps the strongest lesson from the experience is a rule she follows to this day: she doesn’t work with friends or family.

Maintaining professional distance allows her to stay objective, make decisions based on data, and avoid the emotional complications that can arise when personal relationships and business become intertwined.

Reputation is more valuable than revenue

When campaigns don’t go as planned, Laura believes honesty is non-negotiable.

Whether that means admitting mistakes, offering additional support, or refunding fees where appropriate, protecting your reputation is more important than protecting your ego. In an industry built on referrals, trust is everything.

Common mistakes Laura sees in PPC accounts

Having audited accounts across multiple markets, Laura says one of the biggest mistakes marketers make is treating campaigns as “set and forget” assets. She often finds underperforming creatives left running for months, ad copy that hasn’t been refreshed, and winning ads that aren’t being scaled effectively.

She also sees businesses creating unnecessary friction in lead generation campaigns. Long-form copy, overly complex forms, and sending users to external landing pages instead of testing native lead forms can all reduce conversion rates. In her experience, simpler journeys often deliver better results.

How Laura thinks marketers should use AI

Laura sees AI as a powerful tool for automating repetitive tasks rather than replacing marketers. She recommends using it to monitor performance, automate alerts, and streamline workflows so practitioners can spend more time on strategy and client communication.

At the same time, she warns against relying blindly on AI-generated outputs. Poor-quality ad descriptions and generic messaging can hurt performance, so human oversight remains essential. The marketers who succeed will be those who combine AI efficiency with strong strategic thinking.

OpenAI is quietly expanding its advertising infrastructure, giving UK businesses early access to a self-serve Ads Manager for ChatGPT — a signal that the company is building out the tools needed to scale advertising on its rapidly growing AI platform.

What’s happening. OpenAI has begun rolling out Ads Manager Beta to businesses in the UK, according to an email sent to advertisers announcing availability of the platform.

The self-serve interface allows businesses to create advertising accounts and begin exploring campaign management tools with minimal setup friction.

How it works. The Ads Manager dashboard is organized into four core areas: campaigns, tools, billing and settings.

The interface is designed to be familiar to digital marketers, with user management and campaign controls accessible through a simplified navigation structure.

For agencies. OpenAI is advising agencies and freelancers not to create accounts on behalf of clients.

Instead, clients should:

1. Create their own Ads Manager account.
2. Navigate to Settings → Users → Invites.
3. Invite agency partners with appropriate permission levels.

Once invited, users receive an email prompting them to accept access and can then switch between client accounts within the platform.

The catch. Unlike Google Ads’ Manager Account (MCC) structure, advertisers cannot currently view or manage multiple accounts simultaneously from a centralized interface. Users can switch between accounts, but each account must be accessed individually.

Why we care. Access to Ads Manager gives UK brands and agencies the opportunity to understand the interface, workflows, and account structure before broader adoption begins.

By removing requirements such as upfront billing information and simplifying account creation, OpenAI is lowering barriers for marketers who want to test and familiarize themselves with ChatGPT’s emerging advertising ecosystem.

What to watch. The UK rollout offers one of the clearest indications yet that OpenAI is moving beyond experimentation and toward a scalable advertising platform.

The next questions for advertisers will be less about account setup and more about inventory, targeting capabilities, measurement tools, and how ads ultimately appear inside ChatGPT conversations.

For now, marketers are getting their first hands-on look at the infrastructure that could underpin OpenAI’s future advertising business.

First spotted. The update was spotted by Head of Paid Media at Evoluted, Chris Ridley, when he shared the comms he received on LinkedIn.

Google is bringing generative AI directly into Google Ad Manager with the launch of Ask Ad Manager, a new Gemini-powered assistant designed to help publishers analyze performance, troubleshoot issues and navigate the platform using natural language.

The beta launches this month as Google pushes deeper into AI-powered ad operations.

What’s happening. Ask Ad Manager is a conversational AI agent built specifically for publishers using Google Ad Manager.

Unlike traditional reporting tools, publishers can ask questions in plain language and receive personalized answers, recommendations and reports based on their own Ad Manager data.

Google says the tool is designed to help users move from analysis to action faster by reducing the time spent generating reports, diagnosing problems and navigating the platform.

What it can do:

Troubleshoot delivery issues.

Instead of manually pulling reports to investigate underperforming line items, publishers can ask the AI agent questions and receive guidance on potential causes and next steps.

Generate reports on demand.

Users can request custom metrics, benchmarks and performance reports through a simple prompt rather than building multiple reports manually.

Navigate Ad Manager faster.

Ask Ad Manager can direct users to relevant pages within the platform and automatically apply the appropriate filters and settings based on the conversation.

Why we care. For publishers managing large inventories and complex campaigns, the ability to quickly surface insights and diagnose issues could reduce operational workload and accelerate decision-making.

The feature also reflects a growing shift across ad tech toward AI agents that can perform tasks and streamline workflows instead of simply generating information.

Looking ahead. Google says Ask Ad Manager is just the beginning of a broader move toward what it calls a more “agentic” future for advertising operations.

The company plans to introduce additional AI capabilities throughout the year, including developer tools such as REST APIs and an MCP server to support workflow automation and integrations.

Google is also developing specialized agents that could help publishers and agencies discover inventory, negotiate deals and execute campaigns more efficiently.

Bottom line. Ask Ad Manager brings Gemini-powered assistance directly into Google Ad Manager, giving publishers a new way to access insights, resolve issues and manage advertising operations through natural language prompts.

USA Today Co. is using AI-assisted shell files to publish breaking sports coverage faster. The strategy is designed to capture search traffic before Google’s AI Overviews summarize the news.

The publisher tested the approach during the 2026 Winter Olympics and is now using it for coverage of the 2026 FIFA World Cup, Digiday reported.

USA Today pre-writes breaking stories. The USA Today network, which includes the flagship site and more than 200 local publications, creates automated shell files for likely breaking news events. AI pulls subheads, photos, and links from the publisher’s archive. Editors turn that material into ready-to-publish files, allowing reporters to add new details, update the headline, and publish quickly.

• “We’re trying not to be as reliant on SEO strategy. Pre-writes are huge,” Alicia DelGallo, USA Today Sports editorial director, told Digiday.

The search window is shrinking. Publishers have long pre-written stories to move faster in Google Search. AI Overviews have increased the pressure.

• DelGallo said USA Today wants to publish while search interest is still rising, before Google has enough information to generate an AI Overview.
• Barry Adams, founder of Polemic Digital, told Digiday he has seen AI Overviews appear for news events within about four hours and no later than half a day, though he said there is no firm data yet.

Olympics coverage drove 116 million views. USA Today Co. said its national and local network generated 116 million page views from Winter Olympics coverage between Jan. 1 and Feb. 28. The flagship USA Today site drew 91 million page views, up 82% from the 2022 Winter Olympics.

• DelGallo said the shell-file system helped the publisher move quickly on breaking Olympics coverage, including Lindsey Vonn’s crash.

Why we care. AI Overviews can compress breaking news into answers within hours. Publishing first improves your chances of capturing search demand before Google answers the query itself.

World Cup gets the playbook. USA Today Co. is now using the system for World Cup coverage, with five shell files ready each day. The publisher is also investing in original reporting. It has reporters in all 16 host cities and a dedicated World Cup hub.

• DelGallo said the newsroom wants stories that don’t read like generic search content. That means stronger byline authority, more on-the-ground reporting, and angles readers can’t find elsewhere.

Traffic may still fall short. USA Today Co. has 40 million monthly unique visitors to its sports content and expects a World Cup traffic boost, especially with the U.S. co-hosting the tournament. DelGallo said USA Today still expects “massive audience” spikes from the World Cup. But she said AI Overviews have likely lowered the traffic ceiling compared with a year ago.

The report. How USA Today Co. is trying to beat AI Overviews on World Cup news

Google Ads is rolling out a beta that allows advertisers to connect additional data sources directly to website conversion actions, giving marketers a new way to supplement tag-based measurement with backend conversion data.

The feature enables advertisers to combine conversion signals collected through Google tags with transaction data from systems such as CRMs, order databases and ecommerce platforms.

What’s new. Advertisers can now attach an additional data source to an existing website conversion action through Google Ads Data Manager or the Data Manager API.

The beta is designed to supplement — not replace — website tagging by allowing advertisers to send conversion data from backend systems into the same conversion action used for campaign measurement and optimization.

Why we care. The new beta helps fill conversion measurement gaps by combining Google tag data with first-party data from backend systems like CRMs and order databases. This can recover conversions that may be missed due to browser restrictions, privacy settings, or ad blockers, giving advertisers a more complete view of campaign performance.

Why Google launched it. According to Google, combining tag-based measurement with backend conversion data can help advertisers create a more complete picture of conversions and improve campaign performance.

The company says the feature can help:

• Recover conversions that may not be captured by website tags.
• Improve measurement resilience.
• Provide more comprehensive data for automated bidding.
• Simplify data integration through Data Manager.

How it works. The system combines website conversion data collected through Google tags with conversion records uploaded from an advertiser’s backend systems.

To prevent duplicate reporting, Google uses transaction IDs to identify and deduplicate conversions between the tag and the additional data source within the same conversion action.

What advertisers need to know. The beta is currently limited to website conversion actions that use Google tag or Google Tag Manager implementations.

It is not available for:

• Google Analytics imported conversions.
• URL-based conversion actions.

Google recommends adding an additional data source to an existing conversion action rather than creating a new one to avoid potential double-counting across campaign goals.

Data requirements. Every upload must include:

• Transaction ID.
• Conversion date and time.

Advertisers must also provide at least one attribution identifier, such as hashed customer information or a Google click identifier.

Google recommends uploading conversion data as quickly as possible and ensuring uploaded conversion values match the same currency format used by website tags.

Bottom line. The beta marks Google’s latest effort to strengthen conversion measurement by bringing backend transaction data directly into Google Ads. As advertisers look for more complete performance data, the new capability offers a streamlined way to supplement website measurement with first-party business data.

AI is changing how Americans search for information. A new Pew Research Center report found that 60% read AI-generated summaries at the top of search results, and about 40% use chatbots to find information.

AI-generated answers now appear across both traditional search results and dedicated chatbot platforms, including tools like ChatGPT, Gemini, and Copilot, Pew found.

AI summaries reach most searchers. Six in 10 U.S. adults said they’ve read AI summaries at the top of search results, Pew found. Three in 10 said they haven’t.

• Another 10% were unsure, suggesting some users don’t clearly recognize AI summaries in search results.
• Men were slightly more likely than women to report reading them, 63% versus 57%. Adults 65 and older were the least likely age group to read them.

Chatbots are search tools. About half of U.S. adults now use AI chatbots, up from about one-third in 2024. Roughly one in four adults use them daily.

• Searching for information was the most common chatbot use Pew measured. About 40% of U.S. adults use chatbots for search, ahead of entertainment, image and video creation, medical advice, fitness information, news, emotional support, and companionship.
• Work was close behind. Among employed adults, 38% said they use chatbots for job-related tasks.

ChatGPT dominates. ChatGPT remains the most widely used chatbot by a wide margin. Pew found that 44% of U.S. adults now use ChatGPT, up from 34% last year and more than double the share measured in 2023.

• Gemini ranked second, with about a quarter of adults using it. Copilot and Meta AI followed.
• Grok, Claude, and Character.ai had much smaller reach. About one in 10 adults or fewer said they had used each tool.

Why we care. People now find information through traditional results, AI summaries, and chatbot answers. A traditional search ranking may not reflect every place people now find answers.

Dig deeper. AI search adoption rises as consumer trust declines: Study

About the data. Pew Research Center surveyed 5,119 U.S. adults from Feb. 17-23, 2026, through its nationally representative American Trends Panel. The full-sample margin of error was plus or minus 1.6 percentage points.

The report. Americans and AI 2026: Chatbots, Smart Devices and Views on Impact

Google AI Overviews cited self-promotional “best” listicles while excluding the brands behind them from recommendations in 69% of cases, according to a new analysis of B2B software queries by Lily Ray.

Brands have used self-serving listicles to influence AI search results, but Ray found Google often cited those pages while recommending competitors instead.

By the numbers. Ray analyzed 100 B2B “best [category] software” queries in Google AI Overviews across three dates: April 15, May 15, and June 8.

• Of the 80 prompts that triggered an AI Overview, self-promotional listicles were cited 323 times.
• In 224 cases, Google cited a brand’s own page but didn’t recommend that brand.

Competitors get recommended. Ray documented several cases where Google cited a brand’s “best” listicle while recommending better-known competitors.

• For “best LMS for selling courses,” Google cited Oasis LMS but did not recommend it. Instead, it recommended Kajabi, Thinkific, LearnWorlds, and Teachable — all of which are named in the Oasis LMS article.
• Similar patterns appeared in queries for help desk, task management, survey, CRM, and SEO software.

Stronger brands still appeared. Brands that already led their categories, were widely mentioned by third-party sources, and had stronger link profiles were more likely to appear in AI Overview recommendations, according to Ray.

• The data showed a consistent split between citations and recommendations. A brand’s page could appear as a source while competitors received the recommendation.

Organic visibility fell. Ray also reported organic search declines for many sites that relied heavily on self-promotional listicles.

• The declines began around Jan. 20, across dozens of sites she analyzed. Many also scaled other SEO- and GEO-focused content formats, including AI-generated articles, comparison pages, and large volumes of “best” pages ranking their own brand first.
• Those declines continued and accelerated during Google’s May 2026 core update, according to Ray.

Review sites gained citations. Ray found Google relied heavily on third-party and user-generated-content sites for “best” queries, with Reddit citations increasing sharply in recent months.

• Forbes, Reddit, and YouTube were among the most-cited domains in AI Overview responses containing “best.”

Why we care. A citation is not a recommendation. Your content can appear in an AI answer while helping competitors capture the visibility that matters most.

Catch up quick. Search Engine Land previously reported that some SaaS and B2B brands lost 30% to 50% of their visibility after relying heavily on self-ranked “best” pages, based on earlier research from Ray.

• Search Engine Land also reported that the tactic may create legal risk under the FTC’s Consumer Review Rule when company-controlled content is presented as independent reviews, reviews are not based on real use, or material relationships are not clearly disclosed.

About the data. Using Ahrefs Brand Radar, Ray collected AI Overview answer text and cited sources for 100 B2B “best [category] software” queries at three checkpoints between April and June. The analysis measured two outcomes: whether a self-promotional listicle was cited and whether the brand behind it was recommended.

The report. Why Calling Yourself the Best Could Be Helping Your Competitors Win in AI Search

Adobe announced a new solution to help businesses ensure their brands are visible, trusted, and chosen across AI surfaces.

Called Adobe Brand Visibility, the product is part of Adobe CX Enterprise, an agentic AI system designed to simplify customer lifecycle management — from acquisition and prospect engagement to conversion and long-term loyalty.

AI traffic is exploding. The use of LLMs to identify and research products and services marks a significant shift for both marketers and consumers. Alongside the announcement, Adobe released data showing substantial growth in LLM usage. AI traffic to U.S. retail sites surged 1,324% between October 2024 and May 2026. In the travel sector, AI traffic increased 2,215% over the same period.

• “We used to get back the same thing (a SERP page with links on it). Now, the answers appear to be random, but they aren’t at scale. But companies don’t have tools to do it,” Loni Stark, vice president of strategy and product, Adobe, told MarTech.

Measuring brand visibility in AI search. Adobe Brand Visibility is Adobe’s first generative engine optimization (GEO) product since its acquisition of Semrush in May. It combines Adobe LLM Optimizer with Semrush’s AI Optimization tool.

Adobe Brand Visibility draws on nearly 300 million real-world AI search prompts, which Adobe says is the largest global database of its kind, helping teams identify which prompts they’re winning or losing.

Combined with Adobe’s first-party signals from owned channels, the platform gives marketers a view of how their brands appear across ChatGPT, Google AI Mode, Microsoft Copilot, and Perplexity. Metrics include mention frequency, audience reach, competitive share of voice, and content gaps. AI agents then surface prioritized recommendations, enabling teams to deploy updates quickly and measure their impact directly in the platform.

Competitive intelligence. Adobe Brand Visibility includes competitive brand comparison tools that let marketers benchmark against competitors, identify where their brands are cited, track brand mentions, and analyze historical trends.

The platform also includes SEO intelligence, reflecting the continued importance of SEO fundamentals in AI search visibility. Powered by Semrush data spanning 28.5 billion keywords and 43 trillion backlinks collected over 17 years, it shows where existing search authority should be generating AI citations and where content investments can close gaps across both channels.

There’s still much to learn about how LLMs work and how brands can improve visibility, but Star is confident Adobe is well positioned to lead in this space.

• “Adobe had owned data. Semrush had data and trends. We don’t have all of the answers, but we have the best data,” Stark said.

Looking to take the next step in your search marketing career?

Below, you will find the latest SEO, PPC, and digital marketing jobs at brands and agencies. We also include positions from previous weeks that are still open.

Newest SEO Jobs

(Provided to Search Engine Land by SEOjobs.com)

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• Senior SEO Growth Manager
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• Growth Marketer
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• VP / Head of Search & AI Visibility
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• Client Account Manager
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• Senior Content Marketer, SEO
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Newest PPC and paid media jobs

(Provided to Search Engine Land by PPCjobs.com)

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• Americas Growth Marketing Manager (Hybrid)
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• Growth Marketing Finance Lead
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• Growth Marketing Manager, Paid Social & Omni-Channel
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• Ecommerce Advertising Strategist | PPC & Analytics
  June 21, 2026
  Mitchell Martin is seeking an E-commerce Advertising Specialist for a hybrid role based in New York, NY. This full-time position involves optimizing advertising strategies for enterprise clients on major eCommerce platforms. The ideal candidate will develop and manage advertising strategies, analyze campaign performance, and collaborate with clients to meet business goals. Candidates should have a […]

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