Meta introduces click and engage-through attribution updates

Inside Meta’s AI-driven advertising system: How Andromeda and GEM work together

Meta is updating its ad measurement framework, aiming to simplify attribution in what it calls a “social-first” advertising world.

What’s happening. Meta is narrowing its definition of click-through attribution for website and in-store conversions. Going forward, only link clicks — not likes, shares, saves or other interactions — will count toward click-through attribution. The change is designed to reduce discrepancies between Meta Ads Manager and third-party tools like Google Analytics.

Between the lines. Social media has overtaken search as the world’s largest ad channel, according to WARC, but many attribution systems were built for search-era behaviors. On social platforms, engagement extends beyond link clicks. Historically, Meta counted all click types toward click-through conversions, while many third-party tools only counted link clicks — creating reporting misalignment.

What’s changing. Conversions previously attributed to non-link interactions will now fall under a renamed “engage-through attribution” (formerly engaged-view attribution). Meta is also shortening the video engaged-view window from 10 seconds to 5 seconds, reflecting faster conversion behavior — particularly on Reels. The company says 46% of Reels purchase conversions happen within the first two seconds of attention.

Why we care. This update makes it easier to see which actions actually drive conversions, reducing confusion between Meta reporting and third-party analytics like Google Analytics. By separating link clicks from other social interactions, marketers get a clearer view of campaign performance, while the new engage-through attribution captures the value of likes, shares, and saves.

This gives advertisers more confidence in their data and helps them make smarter, more impactful

Third-party tie-ins. Meta is partnering with analytics providers like Northbeam and Triple Whale to incorporate both clicks and views into attribution models, aiming to give advertisers a more complete performance picture.

The rollout. Changes will begin later this month for campaigns optimizing toward website or in-store conversions. Billing will not change, but reporting inside Ads Manager may shift as attribution definitions update.

The bottom line. Meta is attempting to balance clearer, search-aligned click reporting with better visibility into uniquely social interactions — giving advertisers cleaner comparisons across platforms while still capturing the incremental impact of engagement-driven conversions.

Dig deeper. Simplifying Ad Measurement for a Social-First World

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Google Ads’ three-strikes system: Managing warnings, strikes, and suspension

Google Ads’ three-strikes system- How to avoid account suspension

Every year, Google suspends tens of millions of Google Ads accounts for advertising policy violations. One specific policy area that confuses many legitimate advertisers is Google’s “three-strikes” system.

Essentially, if Google decides your account has repeatedly violated any of 15 specific Google advertising policies, you’re at risk for temporary (and potentially permanent) suspension of your Google Ads account.

To help you prevent a single policy issue from snowballing into a full account suspension, here’s how Google’s three-strike system works and what you should do at every stage to keep your ads running.

Case study: Appealing a Google Ads strike

Over the past 10+ years, I’ve helped thousands of advertisers identify and resolve Google’s policy concerns so that their businesses can resume running ads. One such situation involved helping a business that sells ceremonial swords for military dress uniforms.

Google’s Other Weapons policy prohibits advertising swords intended for combat. However, that same policy permits the advertising of non-sharpened, ceremonial swords, which is what this business sells. Even though this business was properly advertising its products within Google’s ad policy parameters, Google issued them a warning for violating the Other Weapons policy.

After the warning, we documented for Google that the business wasn’t violating Google’s policy. We also added specific disclaimers to the business’s sword product pages, noting that the swords were only ceremonial. Frustratingly, Google decided to issue a first strike to the business anyway. 

We appealed the strike because the business wasn’t violating Google’s policy. But Google quickly denied that appeal. We tried appealing again, and Google denied the second appeal. The ad account remained on hold with no ads serving, and the business was losing revenue.

Ultimately, we had to “acknowledge” the strike to Google (I’ll explain what that means later) so that the ads would resume serving. We then worked with Google to craft more precise disclaimer language, stating that the swords for sale were ceremonial blades and not sharpened for use as weapons. This disclaimer was added to the business’s website footer so that both Google’s robots and human reviewers could see it on every single page (regardless of whether swords were for sale on a particular page).

Because of all these changes, Google’s concerns were satisfied and the business has never received any subsequent warnings or strikes. The end result was a success, even though technically there should never have been a warning or strike issued because an actual policy violation never occurred.

Key takeaway: Google will sometimes incorrectly issue warnings and strikes, and even reject appeals, and will often require excessive website disclaimers to convince them that all is well.

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Navigating Google’s three-strikes system

Understanding Google’s strikes system can save your ads account from suspension. The search giant adheres to a system that begins with an initial warning and is followed by a “three strikes and you’re out” protocol.

The warning: Your ‘mulligan’ opportunity

Before issuing your ad account an initial strike, Google will first send you a warning notification.

This warning informs you that there’s a problem and allows you to address and resolve Google’s concern before your account is penalized with an official strike.

  • The penalty: None (yet). Your ads can continue to run.
  • What to do: Appeal any ad/asset disapprovals if you’re confident Google made a mistake, or identify the issue and replace the disapproved ads/assets with fully compliant versions

Treat warnings seriously — ignoring them likely ensures your account will begin receiving strikes.

Strike 1: At least three days without ads

If Google decides that the same policy violation still exists after a warning was issued, your ad account will receive its first official strike.

  • The penalty: All ads will stop serving for three full days.
  • What to do: Acknowledge or appeal the strike.

Acknowledge the strike

This is your fastest path back to serving ads. But Google counts strikes as cumulative over a 90-day period.

If you acknowledge the strike rather than successfully appeal it, you’ve started the clock on the possibility of three strikes and a permanent suspension. Deciding which approach is best is a case-by-case determination.

To acknowledge the strike, you must:

  • Remove all ads/assets that violate Google’s cited policy
  • Submit Google’s acknowledgment form confirming that:
    • You understand the policy Google says you violated.
    • You have removed all violations.
    • You will comply with Google’s policies from now on.

After you acknowledge the strike and the three-day hold ends, your ads will resume serving.

Appeal the strike

Submit this appeal form and explain why your ads aren’t violating Google’s policy. Keep in mind:

  • Your account remains on hold during Google’s review.
  • Reviews typically take 5+ business days, so be patient.
  • If Google accepts your appeal, they will remove the hold and your ads will resume serving.
  • If Google rejects your appeal, your account will stay on hold and no ads will serve.
  • After a rejected appeal, you can attempt appealing again or acknowledge the strike.

Appealing is often justified, but it costs time and success isn’t guaranteed (even if you’re in the right, as the earlier case study shows).

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Strike 2: At least seven days without ads

If Google decides there’s been another policy violation within 90 days of resolving your first strike, or if your original violation was unresolved during those 90 days, your account will receive a second strike.

  • The penalty: All ads will stop serving for seven full days.
  • What to do: Your options are the same as for Strike 1: acknowledge or appeal the strike.

Strike 3: Your account is suspended

If Google decides there’s been another policy violation within 90 days of resolving your second strike, or if your previous violation was unresolved during those 90 days, your account will receive a third strike.

  • The penalty: Your account is suspended, and you may not run any ads or create a new ad account.
  • What to do: Your only recourse now is to appeal the suspension.

Successfully appealing a suspension is definitely possible. But the process is often a nightmare, and the results are never guaranteed.

Important: Once suspended, you’re unable to make any changes to your ad account.

Dig deeper: Dealing with Google Ads frustrations: Poor support, suspensions, rising costs

Exceptions to the rules

Google is sometimes inconsistent at following their own rules. Here are two examples I’ve seen first-hand.

Successfully appealing a strike doesn’t always reset the 90-day clock

I have a client who acknowledged a first strike on June 25. They received a second strike on July 26, which they successfully appealed. You would think that should reset the 90-day counter back to June 25.

However, Google gave them another second strike on October 16, far beyond 90 days from the date of the first strike, but within 90 days from the date of the “first” second strike, which they successfully appealed.

Google sometimes automatically returns your account to ‘warning’ status after a first strike expires

I have a client who received a warning on August 7, followed by a first strike on September 7. They acknowledged the first strike, and that strike expired on December 6, 90 days after it was issued.

However, the account immediately reentered “warning” status, with a new 90-day clock starting from when the first strike expired. There was no new email notification about this warning, and the warning didn’t appear on the Strike history tab.

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Common questions about Google Ads strikes

How do I know if I received a strike?

  • Look for an email notification from Google.
  • Look for a notification at the top of your Google Ads account.
  • Check the Policy manager page in your Google Ads account.

How do I see my history of strikes?

  • Go to the Strike history tab on the Policy manager page in your Google Ads account.

Can you get a strike without having ad disapprovals?

  • Yes. Google can issue strikes even if no ads are formally disapproved.

How are Google’s three- and seven-day ad holds calculated?

  • Google counts full days. For example, if you receive and acknowledge a first strike (a three-day hold) on January 1, your ads won’t be eligible to resume serving until January 4th.

Are account strikes worse than ad disapprovals?

  • Yes, account strikes are significantly worse than individual ad disapprovals. A strike prevents all your account’s ads from serving and can easily escalate to a full account suspension.

Which Google policies have the three-strikes rule?

  • Enabling dishonest behavior.
  • Unapproved substances.
  • Guns, gun parts, and related products.
  • Explosives.
  • Other weapons.
  • Tobacco.
  • Compensated sexual acts.
  • Mail-order brides.
  • Clickbait.
  • Misleading ad design.
  • Bail bond services.
  • Call directories, forwarding services, and recording services.
  • Credit repair services.
  • Binary options.
  • Personal loans.

Important: If you violate one of Google’s many other policies not listed above, you could find your ad account suspended immediately, with no warning or three-strikes system.

Dig deeper: Google Ads boosts accuracy in advertiser account suspensions

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What you can do to prevent and navigate Google Ads strikes

Follow these best practices and tips to minimize the chances of receiving a Google Ads strike:

  • Read the Google Ads policies that apply to your industry so that you know what to do and what not to do.
  • Delete old ads and assets you no longer need, so they can’t trigger strikes unexpectedly.
  • Add clear and comprehensive disclaimers to your website that will help Google understand you’re complying with any ad policies you think they might otherwise decide you aren’t.
  • Save copies of any appeals you submit because Google won’t show them to you after they’re submitted.
  • If you receive an account strike, closely monitor the 90-day clock so you know when you’re safely out of the previous “strike” window.

Google understandably cares deeply about its reputation and the safety of its users. That’s why Google’s policy team often strictly enforces its advertising policies, and why they’re sometimes over-aggressive when interpreting and applying their own policy language.

To keep our Google Ads accounts in good health and our ads running, the best thing we can do as advertisers is to deeply understand Google’s advertising policies and requirements.

Always be ready to jump through hoops to explain your unique situations, and over-comply with Google’s edicts whenever feasible. 

Here’s hoping you never see a third strike!

Read more at Read More

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Content marketing in an AI era: From SEO volume to brand fame

Content marketing in an AI era- From SEO volume to brand fame

For more than a decade, the dominant model was simple — identify a keyword, write an article, publish, promote, rank, capture traffic, convert a fraction of visitors, and repeat. But that model is breaking. 

Content marketing is collapsing and rebuilding simultaneously. AI systems now answer informational queries directly inside search results. Large language models (LLMs) synthesize known information instantly. Information production is accelerating faster than distribution capacity. Public feeds are already saturated.

The cost of producing content has fallen to nearly zero, while the cost of being seen has never been higher. That changes everything.

Here’s a system for content marketing in a world where being found is increasingly unlikely.

The decline of informational SEO

Informational SEO used to be treated as a growth opportunity. Publish enough articles targeting informational queries, and traffic would compound. 

But traffic was always a proxy metric. It felt productive because dashboards moved. In reality, most content was never read deeply, rarely linked to, and often indistinguishable from competitors. Page 1 often contained 10 variations of the same article, each rewritten with minor differences.

Now, AI answers absorb demand directly. Users receive summaries without clicking. The known information layer of the web is becoming commoditized.

If your strategy relies on answering known informational questions, you’re competing with a machine trained on the entire web. Informational SEO is over as a strategy.

Search content will still matter, but its role shifts. It becomes closer to customer service and sales enablement. It exists to support conversion once intent is clear. It doesn’t build fame.

Content marketing, properly understood, must do something else entirely.

Dig deeper: The dark SEO funnel: Why traffic no longer proves SEO success

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All content marketing is advertising

Growth hackers came in and took over SEO. Driven by the desire to show impressive charts to the board, they turned SEO from a practical channel into a landfill of skyscrapered, informational content that did little for real growth.

So, we need a reset. There are only two reasons to create content:

  • You’re in the publishing business.
  • You’re marketing a business.

If you’re in the second category, your content is advertising. That doesn’t mean banner ads. It means its job is to build mental availability. As advertising science has repeatedly shown, brands grow by increasing the likelihood of being thought of in buying situations and making themselves easy to purchase from.

The advertising analytics company System1 describes the three drivers of profit growth from advertising as fame, feeling, and fluency.

  • Fame means broad awareness.
  • Feeling means positive emotional association.
  • Fluency means easy recognition and processing.

If your content doesn’t contribute to those outcomes, it’s activity and not helping your growth.

SEO teams optimized for clicks, but clicks aren’t the objective. Being remembered is. In an AI era, this distinction becomes decisive.

Dig deeper: Fame engineering: The key to generative engine optimization

From pull to push content

Historically, content marketing relied heavily on pull: Someone searched, you ranked, and you pulled them from Google to your website. That channel is narrowing.

As AI summaries answer queries directly, the ability to pull strangers through informational search decreases. Pull remains critical for transactional queries and high-intent keywords, but the gravitational pull of informational content is weakening.

Push becomes more important. You have to push your content to people, distributing it intentionally through media, partnerships, events, advertising, communities, and networks rather than waiting to be discovered. It must be placed directly in front of people.

The paradox is this: We once believed gatekeeping had disappeared. Social media and Google created the illusion of fair and direct access. Now, gatekeepers are back — algorithms, publishers, influencers, media outlets, and even AI systems themselves.

When channels are flooded, selection mechanisms tighten.

Dig deeper: Why your content strategy needs to move beyond SEO to drive demand

The scarcity of being found

Kevin Kelly wrote in his book “The Inevitable” that work has no value unless it’s seen. An unfound masterpiece, after all, is worthless.

As tools improve and creation becomes frictionless, the number of works competing for attention expands exponentially, with each new work adding value while increasing noise.

Kelly’s point was that in a world of infinite choice, filtering becomes the dominant force. Recommendation systems, algorithms, media editors, and social networks become the arbiters of visibility. When there are millions of books, songs, apps, videos, and articles, abundance concentrates attention, creating a structural shift.

When production is scarce, quality alone can surface work. When production is abundant, discoverability depends on networks, signals, and amplification. The value is migrating from creation to curation and distribution. In practical terms, every additional AI-generated article makes it harder for any single article to be noticed.

The supply curve has shifted outward dramatically. Demand hasn’t. Human attention remains finite. As supply approaches infinity and attention remains fixed, the probability of being found declines.

Being found is now an economic problem of scarcity rather than a technical exercise in optimization. When production is abundant, attention is scarce. When attention is scarce, distinctiveness and distribution become currency.

Dig deeper:

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Powerful messaging in an age of abundance

This is where Rory Sutherland’s concept of powerful messaging becomes essential for us. In his book, “Alchemy,” he argues that rational behavior conveys limited meaning.

When everything is optimized, efficient, and frictionless, nothing signals importance. Powerful messages must contain elements of absurdity, illogicality, costliness, inefficiency, scarcity, difficulty, or extravagance — qualities that serve as signals. They tell the market that something matters.

Consider a wedding invitation. The rational option is an email — instant, free, and efficient. Yet most couples choose heavy paper, embossed type, textured envelopes, even wax seals. The cost and inefficiency are the point. They signal commitment and create emotional weight. The medium amplifies the meaning. 

The same logic applies to marketing. When everyone can publish a competent article in seconds, competence carries no signal. A 1,000-word blog post answering a known question communicates efficiency, not importance. Scarcity and effort change perception.

MrBeast built early fame by counting to extreme numbers on camera. The act was irrational. It was inefficient and difficult. That difficulty was the hook. It signaled commitment and created memorability. The content spread not because it was informational, but because it was remarkable.

In an AI-saturated environment, rational content becomes invisible. If 10,000 companies publish summaries of the same topic, none stand out.

But if one brand commissions original research, prints a limited run of a physical report, hosts a live event around the findings, and strategically distributes it, the signal is different. The effort itself becomes part of the message.

Scarcity also changes economics. Sherwin Rosen’s work on the economics of superstars demonstrated that small differences in recognition can lead to disproportionate returns because markets reward the most recognized participants disproportionately.

Moving from being chosen 1% of the time to 2% can double outcomes because fame compounds. In crowded markets, the most recognized option captures an outsized share and reinforces its own dominance.

This is why being found is fundamentally different now. In the past, discoverability was a function of production and optimization. Today, it hinges on distinctiveness and signal strength. When production approaches zero cost, attention becomes the only scarce resource, which means you should be aiming for fame rather than optimization.

Dig deeper: Revisiting ‘useful content’ in the age of AI-dominated search

Fame as a strategic objective

Paul Feldwick, in “Why Does The Pedlar Sing?” argues that fame is built through four components:

  • The offer must be interesting and appealing.
  • It must reach large audiences.
  • It must be distinctive and memorable.
  • The public and media must engage voluntarily.

These four elements provide a practical framework for content marketing in an AI era. Here’s how that works in practice.

Create something interesting

You must create new information, not restate existing information. That could mean:

  • Proprietary data studies.
  • Original research.
  • Indexes updated annually.
  • Experiments conducted publicly.
  • Tools that solve real problems.
  • Physical artifacts with limited distribution.
  • Events that convene a specific community.

Consider the origins of the Michelin Guide. A tire company created a restaurant guide that became a cultural authority.

Awards ceremonies, industry rankings, annual reports, and indexes all function as content marketing. These are fame engines.

The key is the perception of effort and distinctiveness. A limited-edition printed book sent to 100 target prospects can carry more weight than 1,000 blog posts. Costliness signals meaning.

Reach mass or concentrated influence

Interest without distribution is invisible. Distribution options include:

  • Media coverage.
  • Partnerships.
  • Paid advertising.
  • Events.
  • Webinars.
  • Physical mail.
  • Community amplification.

If you lack a budget, focus on the smallest viable market. Concentrate on a defined audience and saturate it. 

Many iconic technology companies began by dominating narrow communities before expanding outward. Public relations and content marketing converge here. 

  • Earned media multiplies reach. 
  • Paid media accelerates it. 
  • Community activation sustains it.

If your content is never placed intentionally in front of people, it can’t build fame.

Be distinctive and memorable

SEO content historically failed on distinctiveness. Ten articles answering the same question looked interchangeable. But in an AI era, repetition disappears into the model. 

Distinctiveness can come from:

  • A recurring annual report with a recognizable format.
  • A proprietary scoring system.
  • A unique visual identity.
  • A specific tone.
  • A tool that becomes habitual.
  • An award or certification owned by your brand.

Memorability drives mental availability. Fluency increases recall. When someone recognizes your brand instantly, you reduce cognitive effort. Repetition of distinctive assets compounds over time.

You have to continually go to market with distinctive, memorable content. If you don’t do this, you will fade in memory and distinctiveness.

Enable voluntary engagement

You can’t force people to share, but you can design for shareability. Content spreads when it carries social currency, enhances the sharer’s identity, rewards participation, and makes access feel exclusive.

Referral loops, limited access programs, community recognition, and public acknowledgment can all increase spread. The key is that the message must move freely between humans. It must be portable, discussable, and referencable.

Memetics matters. If it can’t be passed along, it can’t compound. 

Dig deeper: The authority era: How AI is reshaping what ranks in search

Operationalizing fame in search marketing

If content must be designed for distinctiveness, distribution, and voluntary engagement, search leaders need a different playbook. Here’s a five-step framework.

Step 1: Separate infrastructure from fame

Maintain search infrastructure for high-intent queries, optimize product pages, support conversion, and provide clear answers where necessary. But stop confusing informational volume with brand growth.

Audit your content portfolio. Identify what builds mental availability and what merely fills space to reduce waste.

Step 2: Invest in originality

Allocate budget to proprietary research, data collection, and creative initiatives. If everyone can generate competent summaries, originality becomes leverage.

This may require shifting the budget from content volume to creative depth.

Step 3: Design for distribution first

Before creating content, define distribution.

  • Who needs to see this?
  • How will it reach them?
  • Which gatekeepers matter?
  • What media outlets might care?

Reverse engineer reach.

Step 4: Build distinctive assets

Create repeatable formats that become associated with your brand.

  • An annual index.
  • A recurring event.
  • A recognizable report structure.
  • A named methodology.

Consistency builds fluency.

Step 5: Measure fame

Track:

  • Brand search volume.
  • Direct traffic growth.
  • Share of voice in media.
  • Unaided awareness, where possible.

Traffic alone is insufficient.

If content doesn’t increase the probability that someone thinks of you in a buying moment, it’s not performing its primary job.

Dig deeper: Why creator-led content marketing is the new standard in search

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The return of creativity

We’re entering a period where automation handles the average, freeing humans to focus on the exceptional. The future of content marketing isn’t high-volume AI-generated articles. It’s the creation of new information, new experiences, new events, and new signals that machines can’t fabricate credibly.

It requires a partnership with PR, a strategic use of physical and digital channels, disciplined distribution, and a commitment to fame. Budgets will need to shift from volume production to creative impact.

In a world where information is infinite and attention is finite, the brands that win will be those that understand that being found is more valuable than being published. Content marketing in the AI era isn’t about producing more. It’s about becoming known.

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Web Design and Development San Diego

4 CRO strategies that work for humans and AI

CRO for AI vs. humans- Do you really need different strategies?

What do conversion rate optimization (CRO) and findability look like for an AI agent versus a human, and how different do your strategies really need to be?

More and more marketers are embracing the agentic web, and discovery increasingly happens through AI-powered experiences. That raises a fair question: what does CRO and findability look like for an AI agent compared with a human?

Several considerations matter, but the core takeaway is clear: serving people supports AI findability. AI systems are designed to surface useful, grounded information for people. Technical mechanics still matter, but you don’t need entirely different strategies to be findable or to improve CRO for AI versus humans.

What CRO looks like beyond the website

If a consumer does business directly through an agent or an AI assistant, your business needs to make the right information available in a way that can be understood and used. Your products or services need to be represented through clean, well-structured data, with information formatted in ways that downstream systems can process reliably.

As more people explore doing business with AI assistants, part of the work involves making sure your products and services can connect cleanly. Standards, such as Model Context Protocol (MCP), can help by enabling agents to interact with shared sources of information.

In many cases, a human may still decide to engage directly on a brand’s site. In that context, content and formatting choices matter. Whether you focus on paid media or organic, ensuring your humans can take desired actions — and will want to — is important.

Dig deeper: Are we ready for the agentic web?

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Optimization 1: How much text is on the page?

Old‑school SEO encouraged the idea that more keywords and larger walls of text would perform better. That approach no longer holds.

Wayfair does a great job using accessible fonts, a call to action when the user shifts to a transactional mindset, and easy-to-understand language.
Wayfair does a great job using accessible fonts, a call to action when the user shifts to a transactional mindset, and easy-to-understand language.

Both humans and AI systems tend to work better with clearly structured, modular content. Large blocks of uninterrupted text can be harder for people to scan and understand. Clear sections, spacing, layout, and visual hierarchy help users quickly understand what they can do and how to accomplish the goal that brought them to the page.

There’s no fixed minimum or maximum amount of text that works best. You should use the amount of content needed to clearly explain what you offer, why it’s useful, and what sets it apart.

A technical topic will need more text, broken into smaller paragraphs. There are great calls to action as well.
A technical topic will need more text, broken into smaller paragraphs. There are great calls to action as well.

A technical topic will need more text, broken into smaller paragraphs. There are great calls to action as well.

Visual components can be helpful when paired with useful alt text. Lead gen forms should be easy for humans to complete and regularly audited for spam or friction. Content that’s hard for people to use is also harder for automated systems to interpret as helpful or relevant.

Dig deeper: Lead gen PPC: How to optimize for conversions and drive results

Optimization 2: How are you communicating with your humans?

One of the best ways to communicate clearly to systems is to communicate clearly to people. Lean into what makes you an expert, but avoid unnecessary jargon or overly complex language. Descriptions should stay specific, accurate, and on-brand.

A simple gut check: if a 10-year-old couldn’t broadly understand what you do, why it matters, and how to engage with you, you’re probably making things harder than necessary. Even though AI systems are sophisticated, clarity still matters because the goal is ultimately to support a human outcome.

If you’re unsure, try putting your positioning copy into an AI assistant and asking it to critique its clarity. Ask for simplification and clearer explanations, not for new claims or embellishment.

Visual components matter here as well. Comparison tables can help when they genuinely support understanding, but they can hurt when they’re used as a gimmick rather than a guide. Accessibility principles matter, too. Color contrast, readable font sizes, and restrained font choices reduce the risk that someone can’t process your site.

IAMS has a thoughtful quiz to find the right dog breed and offers additional close matches. High-contrast color, easy-to-understand buttons, and high-quality photos help.
IAMS has a thoughtful quiz to find the right dog breed and offers additional close matches. High-contrast color, easy-to-understand buttons, and high-quality photos help.

Images should be easy to understand and clearly connected to the surrounding text. Alt text helps people using assistive technologies and reinforces the relationship between visuals and written content.

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Optimization 3: The call to action

A user comes to your site to do something. They might want to buy, request a quote, or speak with your team. That action should be clear.

When the intended action is unclear, it becomes harder for both people and automated systems to understand what your site enables.

Tarte Cosmetics does a great job of leaning into CRO principles, including inclusivity, accessibility, and social proof.
Tarte Cosmetics does a great job of leaning into CRO principles, including inclusivity, accessibility, and social proof.

Shopping experiences tend to surface in conversations with shopping intent because assistants are trying to complete the task they were given. If it’s unclear how to add an item to a cart or complete a purchase, you make it harder for a human to do business with you. You also make it harder for systems to understand that you’re a transactional site rather than a catalog of items without a clear path forward.

Lead generation requires similar clarity. If the goal is to talk to your team, include a phone number that can be clicked to call. You might also include a form that submits directly into your lead system or a flow that opens an email client. Forcing users through multiple form pages often frustrates people and adds unnecessary complexity to the experience.

Dig deeper: 6 SEO tests to help improve traffic, engagement, and conversions

Optimization 4: The technical fixes

I cover technical considerations last for a reason. The most important work you can do is support the humans you serve. Technical improvements help, but they rarely succeed on their own.

Tips from the Microsoft AI guidebook. (Disclosure: I’m the Ads Liaison at Microsoft Advertising.)

Excessive imagery, low contrast between text and background, or unstable layouts can create challenges.

Make sure your site renders consistently and meaningfully. Large layout shifts after load, measured in cumulative layout shift (CLS), can frustrate users. Pages overloaded with ads or pop-ups can distract from the reason someone arrived in the first place and may introduce trust concerns.

Security matters as well. Malware warnings, broken rendering, or incomplete page loads can raise red flags for both users and automated systems.

Microsoft Bing Webmaster Tools - AI Performance tab

Tools like IndexNow can help notify search systems of content changes more quickly. Microsoft Clarity is a free tool that shows how users behave on your site, surfacing friction you might otherwise miss. This includes Brand Agents that help your humans have more meaningful chatbot experiences.

Microsoft Clarity with Copilot

One useful check is to review how your site appears when used as input for ad platforms or auto-generated creative tools, such as Performance Max campaigns or audience ads.

Review your ads - Microsoft

These can provide a helpful lens into how platforms interpret your content. When the resulting positioning and creative align with what you intend, you’re usually doing a good job serving both crawlers and people. When they don’t, it’s often a signal to revisit clarity, structure, or user flow.

Dig deeper: CRO for PPC: Key areas to optimize beyond landing pages

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What does CRO for AI and for humans look like?

Humans and AI systems need many of the same things when it comes to CRO:

  • Information should be clear and accurate.
  • It should be easy to do the thing the user came to do.
  • The site should avoid deceptive or manipulative patterns.
  • The experience should build trust rather than undermine it.

Remember these CRO fundamentals that carry over:

  • Humans and AI benefit from the same clarity-first approach to CRO.
  • Information should be specific, grounded, and easy to understand.
  • Actions should be obvious and easy to complete.
  • Technical choices should support, not undermine, the experience.

When those fundamentals are in place, you’re supporting both human outcomes and AI-driven discovery.

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Web Design and Development San Diego

Google launches non-skippable Video Reach campaigns for connected TV

Google TV: What you need to know CTV buying in Google Ads

Google is rolling out Video Reach Campaign (VRC) Non-Skip ads, expanding how brands reach connected TV audiences on YouTube.

What’s happening. VRC Non-Skips are now live globally in Google Ads and Display & Video 360. Built for the living room experience, they run as non-skippable placements optimized for connected TV (CTV) screens.

Why we care. YouTube has been the No. 1 streaming platform in the U.S. for three straight years, making the TV screen a critical battleground for your brand budget. With guaranteed, non-skippable delivery, you can ensure your full message reaches viewers in premium, lean-back environments.

AI in the mix. Google AI dynamically optimizes across 6-second bumper ads, 15-second standard spots, and 30-second CTV-only non-skippable formats. Instead of manually splitting your budget by format, you can rely on AI to allocate impressions for maximum reach and efficiency.

Bottom line. Advertisers now have a simpler way to secure guaranteed, full-message delivery on the biggest screen in the house — using AI to maximize reach and efficiency across non-skippable formats without manually managing the mix.

Google’s announcement. VRC Non-Skip ads are now generally available, allowing brands to reach TV audiences with Google AI.

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New: Futureproof your website for the agentic web with Yoast SEO Schema Aggregation 

In November 2025, Yoast announced a collaboration with NLWeb, an open web protocol developed by Microsoft designed to simplify building conversational interfaces for the web.

Today, we are proud to introduce the first major result of that work: Yoast SEO Schema Aggregation. This is an opt in feature that brings your website’s structured data together in a clearer and more consistent way. By choosing to enable it, you can help search engines and intelligent agents better understand and use your content.

If you want to see which schema types are available for your WordPress setup, our schema overview explains what is included across different product plans.

Bridging the gap: from discovery to conversation

Yoast has a history of helping WordPress websites be represented fairly and responsibly in the open web.

2019: Yoast introduced the first of its kind schema graph and API, helping search engines better understand your content as they moved beyond keywords and evolved into discovery engines.

Today: we are taking the next step. As the agentic web becomes more important, we are helping your WordPress site move from being discovered to being understood and engaged with through conversation.

Starting today, the new Schema Aggregation feature in Yoast SEO is here. It establishes a standardized connection between your website’s structured data and the systems that power AI-driven discovery and interaction. These include large language models, agents, and conversational assistants such as Copilot. It helps ensure your published content can be understood correctly by AI. This matters as AI becomes part of how people find and use information online.

The NLWeb + Yoast integration is built in collaboration with the NLWeb team, including R.V. Guha, co-founder of Schema.org. Together, we are extending the open web standards you already rely on, so your WordPress website can participate confidently in the emerging agentic web in a responsible and future ready way.

Benefits of the Schema Aggregation feature

Questions about AI often come down to one thing: who can access your data. This feature is built with a privacy first approach from the start.

  • Complete: All indexable content included
  • Clean: No duplicate entities, no navigation clutter
  • Connected: Relationships between entities preserved (author → articles)
  • Compliant: Respects exisiting privacy settings
  • Fast: Sub-100ms cached responses, pagination for large sites

For developers and technical users who want more control, we have developer documentation on schema markup. It explains how to inspect and extend your schema graph. This gives you maximum personalization, while retaining standardization at scale.

“You can’t stop the AI wave, but you can direct it. Our integration with NLWeb puts you back in charge. It allows you to manage server load efficiently and ensures that when AIs do access your content, they get the rich, semantic understanding necessary to represent you correctly.” Alain Schlesser – Principal Architect, Yoast.

What’s new

The next time you log in and open Yoast SEO (updated to 27.1), you’ll see a short guided walkthrough. It introduces the new Schema Aggregation feature. It also shows how to enable it using a simple toggle.

We have added a new endpoint to Yoast SEO (free), making the Schema Aggregation feature available to all customers who choose to enable it. The endpoint exposes your site’s full structured data graph in a proposed new standard called a schemamap.

That means, instead of an AI system crawling hundreds of pages individually (or however many pages you have on your website), it can now retrieve your site’s schema, including articles, authors, products, and organizational data, in one optimized request.

Before and after: from pages to a connected site

Below is an example of the structured data Yoast already outputs on an individual page. This page level schema helps search engines understand what that specific page is about, including its content type, author, and relationships.

An example of Yoast schema markup at the individual page level, the example shown is yoast.com

With Schema Aggregation enabled, Yoast provides a site-level view. Instead of looking at pages in isolation, your entire website’s structured data is connected. It consolidates into a single output called a schemamap. This can appear quite overwhelming to look at. It makes it easier for AI systems to understand your content. They can see how your articles, authors, products, and organisation relate to each other across the site.

Nothing about your existing schema changes. The same data is reused, simply organized in a way that reflects how your website works as a whole. Here is an example of a schemamap from everydayimtravelling.com, displayed with the Yoast SEO Schema Visualizer.

How it works: Standardized, connected, and deduplicated

The Schema Aggregation feature doesn’t just share data; it organizes it for AI consumption:

  • Eliminates data mess: It merges duplicate mentions of authors, products, or articles into one scalable, connected record.
  • Integrates automatically: If you use one of our Schema API partners like The Events Calendar or WP Recipe Maker, those schema types are included in the graph automatically.

Developers can also explore our Schema Integrations page to see how Schema API partners connect to and extend the Yoast SEO Schema Framework (the graph).

Collaborative innovation

When working at scale across tens of millions of websites, careful testing is essential to ensure a safe and reliable launch. This feature was developed with agencies and advanced users in mind, and tested in controlled environments.

We collaborated closely with Syde, our Innovation Partner, to test the new feature across a diverse range of real-world client scenarios. The approach for this release was tested in controlled environments to confirm scalability and consistent output quality before deployment.

Syde’s feedback has been instrumental in refining the schema aggregation logic. We look forward to continuing this partnership, working together to help clients remain visible and accurately represented as AI driven systems evolve.

Be visible, understood, and represented

The rules of discovery are shifting, but your site doesn’t have to be left behind. With NLWeb and Yoast, your website stays at the center of the conversation.

Ready to see it in action? Update to the latest version of Yoast SEO and enable the NLWeb integration in your Yoast SEO settings today. For more information about how to enable Schema Aggregation, visit this help article.

The post New: Futureproof your website for the agentic web with Yoast SEO Schema Aggregation  appeared first on Yoast.

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How Voice Search Ads Are Changing The Search Term Report in 2026

If you’ve looked at a Google Ads Search Term Report (STR) lately, you know it feels like stepping off a merry-go-round a little too fast. The tidy lists of “best running shoes” or “mortgage rates NYC” that we built entire careers around? Those are fading out. Now, it’s a wall of text that sounds like someone rambling into their phone while driving. You see stuff like: “Hey, find me that blue sneaker brand I saw on TikTok, the one with the extra arch support because my left foot has been killing me lately.”  

This article explores the fundamental shift from syntax to semantics. We are moving beyond simple keyword matching and into the era of Natural Language Processing, where the length, tone and even the phonic urgency of a spoken query dictate your ad spend. 

Welcome to 2026. Voice search isn’t just bigger, it’s completely transformed the STR into a chaotic transcript of people thinking out loud. For those of us working inside agencies, this isn’t just some formatting headache; it’s a real change in how we track intent, protect budgets, and, honestly, just stop wasting our clients’ money. 

1. The “Conversational Bloat” of 2026 in Google Voice Search Ads

Remember back in 2022? Search queries averaged about 2.8 words. Now? Nine. Sometimes ten. Thanks to Gemini Live, the new Siri LLM, and everyone chatting with smart glasses, search queries have gotten long-winded. This messes with your account in two ways: 

Intent gets lost: If someone types “plumber,” you know exactly what they want. But if they say, “Hey Google, I think my water heater is making a weird clicking sound, should I call someone or just wait?”—good luck figuring out what they actually want. Intent is buried under a pile of words. 

The “close variant” minefield: Google’s close variant matching is in overdrive. It tries to connect a 15-word spoken query to your simple [Plumber] keyword. If you’re not careful, you end up paying for clicks from people who are just musing aloud—not ready to buy. 

If you’re wondering how to find the search term report in Google Ads to check this yourself, head to Insights and Reports → Search Terms. Pull data weekly. In a voice-heavy account, this report changes fast. 

The Google Ads interface.

2. “Ambient Intent” and the Ghost in the Machine

Here’s the most annoying change: accidental voice triggers. With always-on wearables, the STR is picking up background noise—random snippets of conversation that aren’t real searches. 

We’re seeing a jump in what we call Low-Confidence Matches. The AI thinks it heard someone searching, but it just caught chatter from a phone sitting on a kitchen counter. 

What does this mean for you? Time to get serious about your Negative Keyword Scripts. If 40% of your STR is “Hey Google” and “I was wondering,” you’re pouring money down the drain on junk queries. We’ve started blocking “politeness markers” like “please,” “thanks,” and “can you.” They’re not bad words; they’re just clutter, hiding the real intent we need. 

3. Sentiment is the New “Keyword”

For the first time, how people talk tells us more than what they actually say. In 2026, we’re sorting STRs by Phonic Urgency. 

The “Panic” Query: “Siri, I need a locksmith NOW, I’m locked out and my oven is on!” (Expensive click, but high chance they’ll convert.) 

The “Boredom” Query: “Hey, what are some cool places to go on a Saturday if it’s raining?” (Cheap click, but they bounce fast.) 

If you’re bidding the same amount for both, just because they include “places” or “locksmith,” you’re missing the point. We have to organize campaigns by “Problem-State” instead of just “Topic-State.” 

Topic State: You bid on the noun. For example, bidding on “locksmith” regardless of why the user is searching.  

Problem State: You bid on the situation revealed by the voice transcription. The AI analyzes the phonic urgency and context to determine the level of immediate need. 

4. The “Entity” Crisis: Brand Names Are Fading

Here’s a stat to scare your brand clients: branded search volume is dropping for mid-sized companies. 

In 2026, people don’t remember names they remember little details. Instead of “Allbirds,” they’re telling their AI, “those sustainable wool shoes you don’t have to wear socks with.” 

If you work for a brand, your STR probably shows you’re winning auctions for these descriptions, not your actual name. Teams focusing on SEO for voice search and PPC teams have to work hand-in-hand. If your landing page doesn’t echo the exact language people use in the STR, your Quality Score tanks, because Google’s AI won’t see the match. 

FAQs

What Are Voice Search Ads? 

Voice search ads are paid search ads triggered by spoken queries on devices like smartphones, smart speakers, wearables, and AI assistants. 

Instead of typing “best plumber near me,” users say something like, “Hey Google, who can fix a leaking pipe tonight?” 

Google Ads treats these spoken queries as search intent. Your ads can appear in the results, just like traditional text searches. The difference? Voice queries are longer, more conversational, and often more urgent. 

That shift changes how your keywords match, how your search term report looks, and how you manage negatives. 

Are Google Voice Search Ads Different From Regular Search Ads? 

Technically, no. Google doesn’t have a separate campaign type labeled “Google voice search ads.” 

Voice queries simply feed into the same Google Ads system. 

The difference shows up in the Search Term Report. Voice searches tend to be: 

  • Longer 
  • More conversational 
  • Framed as questions 
  • Filled with qualifiers and context 

That means your match types, negative keywords, and bidding strategies need to adjust—even if your campaign structure stays the same. 

What Is A Search Term Report In Google Ads? 

The Search Term Report (STR) shows the actual queries users typed or spoke before clicking your ad. 

Not your keywords. 

The real phrases. 

It’s where you see: 

  • What triggered your ads 
  • Whether the intent matches your offer 
  • Where you’re wasting budget 
  • Where new opportunities are hiding 

In a voice-first world, this report matters more than ever. It’s no longer neat two-word phrases. It’s full conversations. 

How To Find The Search Term Report In Google Ads? 

Here’s how to find the Search Term Report in Google Ads: 

  1. Log into your Google Ads account 
  1. Click on “Campaigns” 
  1. Select a specific campaign or ad group 
  1. Click “Insights and Reports” 
  1. Choose “Search Terms” 

You’ll see the exact queries that triggered your ads. 

If you’re running Performance Max, you’ll need to check insights reports, since full transparency isn’t always available. 

And with voice search growing, reviewing this report weekly isn’t optional anymore. 

Do Voice Search Ads Convert Better? 

Voice queries often show higher intent. Someone saying, “I need an emergency dentist right now,” is in a very different mindset than someone typing “dentist.” 

But voice traffic also includes exploratory and accidental queries. That’s why filtering your Search Term Report and tightening negatives is critical. 

Intent matters more than volume. 

The Bottom Line: Stop Fighting the Conversation

Voice search ads aren’t a separate campaign type, but they are reshaping how your Google Ads search term report behaves. 

The Search Term Report isn’t broken. It’s finally showing us how people actually think. We’re not wired for keywords we think in problems, half-questions, and frantic requests while juggling groceries. 

As agencies, we need to quit shoving users back into some tidy “keyword box.” Embrace the messiness of the 2026 STR. See it as a direct line into the consumer’s mind. If people are searching “How do I…”, for the love of ROAS, don’t send them to a “Buy Now” page. 

The data’s talking. The only question is, are you actually listening or just hunting for keywords? 

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Web Design and Development San Diego

Google expands recurring billing policy

In Google Ads automation, everything is a signal in 2026

Google is expanding its recurring billing policy to allow certified U.S. online pharmacies to promote prescription drugs with subscriptions and bundled services.

What’s happening. Certified merchants can now offer:

  • Prescription drug subscriptions — recurring billing for prescription medications.
  • Prescription drug bundles — combining drugs with services like coaching or treatment programs, as long as the drug is the primary product.
  • Prescription drug consultation services — recurring consults to determine prescription eligibility, either standalone or bundled with medications.

Requirements for eligibility. Merchants must maintain certified status, submit subscription costs in Merchant Center using the [subscription_cost] attribute, include clear terms and transparent fees on landing pages, and comply with all existing Healthcare & Medicine and recurring billing policies. Accounts previously disapproved can request a review once requirements are met.

Why we care. The update opens new revenue opportunities for online pharmacies, letting them leverage recurring models and bundled services while staying compliant with Google policies.

The bottom line. Certified U.S. online pharmacies can now run recurring prescription and bundled offers, giving them more flexibility to reach patients and scale subscription-based services.

Dig deeper. Recurring billing policy expansion: Prescription drugs

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Web Design and Development San Diego

Google uses both schema.org markup and og:image meta tag for thumbnails in Google Search and Discover

Google updated both its image SEO best practices and Google Discover help documents to clarify that Google uses both schema.org markup and the og:image meta tag as sources when determining image thumbnails in Google Search and Discover.

Image SEO best practices. Google added a new section to the image SEO best practices help document named Specify a preferred image with metadata. In that section, Google wrote:

  • “Google’s selection of an image preview is completely automated and takes into account a number of different sources to select which image on a given page is shown on Google (for example, a text result image or the preview image in Discover).”
  • Here is how you influence the thumbnails Google chooses:
    • Specify the schema.org primaryImageOfPage property with a URL or ImageObject.
    • Or specify an image URL or ImageObject property and attach it to the main entity (using the schema.org mainEntity or mainEntityOfPage properties)
    • Specify the og:image meta tag.

Here are the overall best practices when choosing these methods:

  • Choose an image that’s relevant and representative of the page.
  • Avoid using a generic image (for example, your site logo) or an image with text in the schema.org markup or og:image meta tag.
  • Avoid using an image with an extreme aspect ratio (such as images that are too narrow or overly wide).
  • Use a high resolution, if possible.

Google Discover image selection. In the Discover documentation Google added a section that reads:

  • “Include compelling, high-quality images in your content that are relevant, especially large images that are more likely to generate visits from Discover. We recommend using images that meet the following specifications: At least 1200 px wide, High resolution (at least 300K) and 16×9 aspect ratio”
  • “Google tries to automatically crop the image for use in Discover. If you choose to crop your images yourself, be sure your images are well-cropped and positioned for landscape usage, and avoid automatically applying an aspect ratio. For example, if you crop a vertical image into 16×9 aspect ratio, be sure the important details are included in the cropped version that you specify in the og:image meta tag).”
  • “Enabled by the max-image-preview:large setting, or by using AMP
  • “Use either schema.org markup or the og:image meta tag to specify a large image that’s relevant and representative of the web page, as this can influence which image is chosen as the thumbnail in Discover. Learn more about how to specify your preferred image. Avoid using generic images (for example, your site logo) in the schema.org markup or og:image meta tag. Avoid using images with text in the schema.org markup or og:image meta tag.”

Why we care. Images can have a big impact on click-through rates from both Google Search and Google Discover. Here, Google is telling us ways we can encourage Google to select a specific image for that thumbnail. So review these help documents and see if any of this can help you with the images Google selects in Search and Discover.

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15 Best B2B SEO Agencies (2026): How to Choose a Partner That Actually Drives Growth

Choosing a B2B SEO agency should be straightforward. It is not. If distinguishing genuine B2B SEO expertise from agencies that […]

The post 15 Best B2B SEO Agencies (2026): How to Choose a Partner That Actually Drives Growth appeared first on Onely.

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