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5 early signs of PPC performance drops: Track competitors to spot them by Bluepear

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Google Ads reports and PPC competitor analysis can show declining performance, but not what caused it. In fast-evolving paid search, reacting to performance drops after they happen isn’t enough. You need to identify the signals behind those changes before they impact results.

A competitor might increase bids on your core keywords. A new advertiser could enter branded search. Someone may launch a stronger offer or dominate the SERP with extensions and Shopping ads. These shifts change auction dynamics in real time, often days or weeks before the impact appears in your dashboards.

That’s why we recommend monitoring competitor activity. It gives you context for performance shifts before they turn into expensive problems.

Without consistent competitor tracking, three areas usually start to decline:

  • Cost per click: CPC can rise because of increased auction pressure. But when you don’t actively track competitor keywords, aggressive bidding activity stays invisible until costs are already higher. 
  • Ad positions and visibility: If competitors increase impression share, expand campaign coverage, or appear more frequently during peak hours, your visibility starts slipping. 
  • Conversion rate and revenue: Competitors may introduce stronger discounts, clearer positioning, or more compelling CTAs. If you don’t regularly track competitors’ ads, your campaigns can slowly lose relevance even while traffic volume stays stable.

Monitoring competitor activity and analyzing that data helps prevent this decline. It connects changes in market behavior to performance shifts, so you can act before KPIs start falling.

5 competitor signals you should never ignore

Behind every spike in CPC or drop in conversions is usually a competitor move. These are competitor signals — observable changes in how other advertisers behave in paid search. 

Competitor signals could be a new player entering your core queries, a sudden increase in bids, a messaging shift, or more aggressive use of ad formats. Individually, these signals may seem minor. Together, they reshape the dynamics of the entire SERP.

Let’s start with a quick overview of the five competitor signals that serve as early signs of upcoming auction shifts and PPC performance:

Signal What it affects What to do
Competitor activity spike CPC, impression share Track competitors keywords and review bidding strategy 
New players in branded SERP Brand traffic, CAC Monitor competitor activity and protect brand terms
Messaging changes CTR, conversion rate Track competitors’ ads and test new offers
Increased ad frequency Visibility, ROI Use competitor tracking tools to detect pressure early
SERP takeover (extensions, shopping) Click share, attention Run deeper PPC competitor analysis and expand ad formats

Here’s a closer look at these early signals and what you can do when you detect them.

1. Sudden increase in competitor activity on priority keywords

A sudden spike in activity usually signals more aggressive bidding. Competitors are pushing harder on your core queries, increasing pressure in the same auctions where your campaigns compete. Without active competitor keyword tracking, these shifts happen quietly — until costs start rising.

The risks you face if you miss this signal are: 

  • Rising CPC  
  • Loss of top positions
  • Declining impression share on high-value queries

What you can do upon noticing a sharp rise of competitor activity:

  • Identify who is driving the auction pressure — new entrants often signal a longer-term competitive shift  
  • Review your bidding strategy and adjust bids on priority keywords 

2. New players appearing in branded search results

When new advertisers appear on your branded queries, it usually means someone is deliberately targeting your brand to capture high-intent traffic. That may include direct competitors, affiliates, or partners operating outside agreed boundaries.

The risks associated with brand bidding are:

  • Loss of branded traffic you previously owned.
  • Increased customer acquisition cost on what should be your lowest-cost channel.
  • Erosion of brand trust if messaging is misaligned.

What to do: 

  • Find out who is running ads on your brand terms using competitor tracking tools.
  • Capture screenshots, landing pages, timing, location, device and redirect paths before taking action. 
  • Analyze affiliate and partner activity for compliance issues.
  • Reinforce your branded campaigns to maintain dominance.

See which competitors and affiliates are appearing on your brand keywords. Register with Bluepear to run free branded search checks for a week — no credit card required. 

3. Changes in competitor messaging 

Messaging shifts are often the earliest sign of strategic testing. Competitors launch new offers, reposition their value, or test urgency and pricing. Without consistent competitor ad tracking, these changes stay outside your field of view.

Risks that come from changes in competitor messaging:

  • Declining CTR as your ads feel less relevant or appealing in comparison.
  • Lower conversion rates due to weaker perceived value.
  • Gradual erosion of your competitive positioning.

How to respond: 

  • Regularly track competitors’ ads across key queries.
  • Benchmark their offers against your current value proposition.
  • Launch focused A/B tests in response.
  • Adapt your messaging fast — delays here impact revenue.

4. Competitor ads appearing more frequently

Higher ad frequency usually signals a larger budget or a more aggressive delivery strategy. Competitors are appearing in more auctions, more often, and across more times of day.

Risks associated with this: 

  • Reduced visibility and share of voice.
  • Increased CPC due to higher auction pressure.
  • Lower ROI as efficiency declines.

What you can do about it: 

  • Review auction insights to confirm impression share shifts.
  • Adjust ad scheduling to defend key time windows.
  • Reallocate budget toward the most competitive segments.
  • Continue monitoring competitor activity to understand whether this is temporary or sustained pressure.

5. Competitors dominating the SERP with extensions and formats

Competitors can use sitelinks, callouts, Shopping ads, and Performance Max campaigns to take up more SERP space. Even when your ad appears, it becomes visually secondary.

What risk this expansion creates for you:

  • Reduced user attention on your ads.
  • Lower CTR.
  • Traffic loss.

What can be done about it: 

  • Expand your own ads with extensions.
  • Actively use multiple formats to increase coverage.
  • Continuously track competitors’ ads to see how SERP real estate is changing.

How to turn competitor signals into action

Many PPC teams track competitors but still operate reactively. They notice rising CPCs, falling CTRs, or weaker conversions only after those changes appear in performance metrics. By then, optimization has become damage control.

The more effective approach is to treat competitor signals as action triggers. To do that, you need a clear workflow:

  • Define the competitor signals that matter to you and grade them by priority. For example, brand bidding can be a lower priority for a small company, but a major red flag for a larger brand that runs their own affiliate program.
  • Connect each signal to a predefined response. For simplicity, you can do it in the form of a table like this: 
Signal Priority Response
Sudden bidding increases on high-intent keywords High Review bids on core keywords
New advertisers entering branded queries High Investigate affiliate activity and strengthen branded campaigns
SERP expansion through extensions and Shopping ads Medium-High Expand your own ad formats and improve SERP coverage
Changes in competitor messaging or offers Medium Launch ad copy and offer tests to maintain CTR and conversion rate
Rising impression share from specific competitors Medium Adjust budget allocation if pressure continues
Minor ad copy variations without positioning changes Low Monitor for patterns, but avoid overreacting to isolated tests
Temporary appearance fluctuations outside core markets Low Track activity, but prioritize response only if expansion continues
  • Assign the team members responsible for tracking and reacting to the detected signals. Base this choice on the responses you defined earlier — whoever has direct access to the appropriate tools should be responsible for execution. 
  • Establish a practical framework built on repeatable actions: Track competitors → Detect → Verify → Classify → Act. 

The goal is to build a system where competitor changes automatically trigger investigation and appropriate response. In practice, thу most effective way of doing it is to use always-on PPС tracking tools with real-time reporting. The advantage comes from shortening reaction time. 

In conclusion

Competitor pressure in PPC rarely appears all at once. It builds through signals.

A sudden increase in bidding activity. New advertisers entering branded search. Changes in messaging. Higher ad frequency. Competitors taking over more SERP space with extensions and Shopping ads. These shifts change the auction environment long before performance reports fully reflect the impact.

That’s why teams that consistently track competitor keywords, monitor SERP behavior, and use structured PPC competitor analysis gain something valuable: time. They spot changes earlier, react faster, and avoid making decisions only after KPIs begin to decline.

The difference between reactive and high-performing PPC teams is simple. One waits for metrics to explain what happened. The other uses competitor signals to anticipate what happens next.

Build a more systematic approach to monitoring competitor activity. Use competitor tracking tools to collect data before it impacts CPC, visibility, and conversions — not after.

Try Bluepear to see how competitors and affiliates appear across your most important keywords in real time. 

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Security patch: Yoast SEO Premium 27.6.1

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Yoast SEO Premium 27.6.1 is out now. This release contains a security fix affecting the Redirect Manager in Yoast SEO Premium. The good news: the vast majority of users are not impacted. If you’re a customer of Yoast SEO Premium, Yoast WooCommerce SEO, or Yoast SEO AI+, please read on. 

Are you affected? 

The vast majority of customers are not impacted. Your site is only potentially at risk if all three of the following are true: 

  • You are using a plan that includes the Yoast SEO Premium plugin. This includes Yoast SEO Premium, Yoast WooCommerce SEO, and Yoast SEO AI+ 
  • Your server runs Apache and you have manually changed your redirect method to write to .htaccess. If you’re using the default PHP-based redirects, you are not affected 
  • A user who has access to your site with edit_posts capability. Without this, the vulnerability cannot be exploited even if the other conditions are met 

What was the issue? 

An authenticated user could inject unexpected configuration into a site’s .htaccess file by including special characters in a redirect. Depending on what was injected, this could range from a site crash to, in the most serious cases, remote code execution.  

We have reviewed a sample of sites using the affected configuration and found no evidence of exploitation. There are no known cases of abuse. 

What’s fixed 

The patch includes three layers of protection: 

  • Input sanitization: control characters are now stripped from redirect fields before they’re saved 
  • Removed unused code: the specific endpoint involved in the vulnerability has been removed, as it was no longer used by the plugin anyway 
  • In-plugin warning: we’ve added a proactive notification that will alert you if anything unusual is detected in your redirects or .htaccess file, so you can review and act quickly without the need to go looking for it 

What you should do 

Please update to 27.6.1 from the WordPress plugins screen, your Admin can do this in under two minutes. 

If you meet all three conditions above, we recommend updating as soon as possible. Should you not, the security fix doesn’t apply to your setup, but keeping your plugins current is always good practice, and 27.6.1 is the version we recommend for everyone. 

If you’re unsure whether you’re affected, check your redirect settings directly at [www.yoursite.com]/wp-admin/admin.php?page=wpseo_redirects#/redirect-method,  if you don’t see .htaccess mode enabled, you’re not at risk. 

Security method in app UI

A full security advisory will be published soon. If you have any questions or concerns in the meantime, our support team is here to help you. 

Thank you for your continued trust in Yoast. 

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AI-Powered Lead Gen: The New Way Multi-Location, Franchises, and Global Companies Scale

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Key Takeaways

  • AI lead generation works best as a system, not a collection of separate tools. The three core layers are data, activation, and optimization.
  • Traditional lead gen breaks at scale because teams fragment strategy across locations, operate in silos, and rely on manual budget decisions.
  • Local search carries the highest purchase intent in digital marketing. Most multi-location brands are losing those searches due to inconsistent listings and weak profiles.
  • AI improves lead quality, not just volume. Lead-to-close rate by location is the metric that actually matters.
  • You don’t need a full overhaul to start. A focused 30-day rollout can produce measurable pipeline impact.

Multi-location brands are generating more leads than ever. And yet, many are still struggling to turn that activity into consistent revenue across every market they serve.

Here’s the real problem: traditional lead gen was never built for scale. It was built for one team, one market, one campaign at a time. The moment you’re managing dozens or hundreds of locations, that model cracks. Fragmentation sets in. Quality drops. And the manual work required to hold it all together eats your team alive.

AI lead generation changes the equation entirely, but only if you use it the right way. This isn’t about automating what you’re already doing. It’s about building a system that gets smarter across every location, every market, every campaign, at the same time.

This article lays out how to actually do that.

Why Traditional Lead Gen Breaks at Scale

Multi-location lead gen has three structural failure points. Once you can see them clearly, the solution becomes obvious.

Fragmentation. Different teams run different playbooks in different markets. There’s no shared learning system, no central source of truth, and no way to know why your top location outperforms your worst one. According to NP Digital survey data, only 16 percent of multi-location businesses report “very consistent” lead quality across their locations. The majority fall somewhere between “significant variation” and “highly inconsistent.”

A bar graph comparing Lead Quality consistency across locations.

Inconsistent quality. High lead volume in one region doesn’t translate to high revenue. The locations that look like top performers by lead count often rank near the bottom by close rate. Without visibility into lead quality at the location level, you’re optimizing for the wrong thing.

Manual optimization that can’t keep pace. Most teams still allocate budget manually, review performance monthly, and build campaigns market by market. That cadence worked when the scale was manageable. At 50 or 100 locations, it’s a liability. Budget decisions made quarterly can’t respond to demand signals that shift weekly.

Buyers make it harder, too. By the time someone contacts your business, they’ve already researched you using search, reviews, and word of mouth. 98 percent of consumers verify an AI-recommended brand before buying, and about 65 percent of Google searches now end without a click to any website. Your presence has to be consistent, accurate, and compelling long before a lead form ever gets filled out.

The old model is broken. The fix isn’t more campaigns. It’s a better system.

The AI-Powered Lead Gen Framework

The brands scaling successfully with AI for lead generation aren’t just using more tools. They’re using tools that connect.

Most companies have pieces of the puzzle. The problem is those pieces don’t talk to each other. Paid media AI can’t access your lead scoring data, so you optimize for clicks that don’t convert. Local listing data lives in a separate system, so top-performing locations can’t surface insights to underperformers. Performance data stays siloed in individual markets and never informs the broader strategy.

A graphic breaking down AI-powered lead gen frameworks.

The AI-powered lead gen framework has three layers:

Data Layer: Location data, CRM signals, and customer behavior. This is the foundation. If your data is fragmented or inconsistent, everything built on top of it will be, too.

Activation Layer: Ads, SEO, social, and local listings. These are your channels. The goal is to run them from a centralized playbook while adapting execution to each market’s demand signals.

Optimization Layer: AI testing, budget allocation, and personalization. This is where the system learns. It improves not just individual campaigns, but the entire operation simultaneously.

A graphic that breaks down the 3 layers that make AI work at scale.

The key distinction is centralized strategy with localized execution. Brand messaging, campaign frameworks, and budget guardrails are set at the top. Creative, offers, and targeting adapt to each market’s specific signals. AI models are trained on the full dataset, not just one region, so outputs are informed by what’s actually working across your entire footprint.

This is how you stop duplicating the same campaign across 50 markets and start building something that compounds. Scale doesn’t come from more campaigns. It comes from smarter systems,

AI and Local Search: Capturing High-Intent Demand at Scale

Your next customer isn’t searching for your brand name. They’re searching “near me.” And that intent matters enormously.

“Near me” searches carry some of the highest purchase intent in all of digital marketing. The problem is that most multi-location brands lose those searches before they ever have a chance to convert. The culprits are predictable: inconsistent Google Business Profiles, weak local SEO signals, and no coherent review strategy.

NP Digital’s research found that 59 percent of multi-location businesses are not tracking their Map Pack visibility at all. You can’t optimize what you don’t measure, and you can’t win local search if you’re not paying attention to it.

A graphic showing how often map pack visibility is tracked.

AI addresses each of these gaps directly.

Automated listing optimization keeps your business information accurate and consistent across every platform and every location simultaneously. Name, address, and phone number (NAP) inconsistency is one of the most common reasons brands lose local rankings. AI can audit and sync that data at a scale no manual process can match.

AI-generated localized content means each location gets landing pages, service descriptions, and posts that reflect its specific market, without requiring a dedicated content team for every region. Add schema markup so search engines and AI tools can surface your location data in map features and AI-generated answers.

Review sentiment analysis lets you monitor feedback across every location and flag negative trends early, before they compound into a visibility or reputation problem.

A breakdown of AI opportunities in listing, localized content, and review sentiment.

The metrics that matter at the location level: local visibility share, calls and direction requests, and location-level conversion rates. Track these per location, not just in aggregate, and the gaps in your strategy become obvious fast.

Scaling Paid Media Across Locations Without Wasting Budget

Manually managing paid ads across 100+ locations is where growth breaks.

Budget gets spread evenly across markets regardless of demand. Creative runs until someone manually pulls it. Performance gets reviewed monthly, by which point underperforming campaigns have already wasted weeks of spend. No one is learning what actually works in each market, because the data stays local.

AI fixes all three. Here’s how it works in practice:

Performance Max runs across Search, Display, YouTube, Maps, and Discovery from a single campaign structure. Rather than building separate campaigns for each location, you set the inputs and let AI distribute across channels based on where demand is showing up.

Dynamic creative optimization means AI is testing headline, image, and call-to-action combinations by market automatically. Creative adapts to what resonates locally, rather than running a single approved version everywhere.

Demand-based budget reallocation is the biggest unlock. NP Digital’s research shows that only seven percent of multi-location businesses use AI or automation to guide budget allocation. The majority allocate manually or based on historical performance. That means most brands are treating their best markets the same as their worst ones.

AI shifts spend toward the locations showing real-time opportunity signals. Same total budget, redistributed by what’s actually working right now. The result: the same dollar goes further because it’s going where it’s most likely to convert.

A graphic showing changes in budgeting before and after AI.

For more on building a paid strategy that generates more leads without inflating spend, this post breaks down the fundamentals.

Personalization Across Markets: Why One Message Doesn’t Fit All

Customers in Phoenix don’t behave like customers in New York. Generic messaging across locations produces low engagement and lower conversion rates.

NP Digital’s Personalization Maturity by Location data tells the story: 62 percent of multi-location brands are still “mostly standardized” in how they reach customers across markets. Only three percent are fully customized per location. The gap between standardized and partially customized is where most of the conversion lift is hiding.

A bar graph showing the local personalization maturity gap.

AI enables three things that manual personalization can’t deliver at scale:

Location-based messaging adjusts the content, offers, and tone of your campaigns based on where a user is and what that market’s demand signals look like. A promotion that converts in one region might be irrelevant in another. AI can surface those distinctions without a marketer manually monitoring every market.

Behavioral personalization goes further. Rather than one-size-fits-all follow-up sequences, AI can trigger personalized responses based on how a specific lead has interacted with your content. The follow-up feels timely and relevant because it is.

Localized ad creative adapts headlines, images, and calls-to-action by market automatically. What works in a competitive urban market is often different from what converts in a suburban or rural one.

Each location also needs its own landing page with unique copy, local reviews, and the specific services offered there. Region-specific pages aren’t just an SEO play. They’re what closes the gap between click and conversion.

Relevance drives conversion. AI delivers relevance at scale.

Lead Quality Over Lead Volume: What AI Actually Optimizes For

More leads does not mean more revenue, especially across locations where quality varies wildly by region.

The metric most multi-location teams are missing is lead-to-close rate by location. It tells you which markets actually convert customers, not just which ones fill the top of the funnel. Without it, you’re optimizing for activity, not revenue.

NP Digital’s data shows that only 22 percent of companies can accurately track lead-to-close by location. Another 32 percent say they can’t do it at all. That means two-thirds of multi-location brands are flying blind on the metric that matters most for growth.

A pie chart showing the accuracy gap in lead-to-close reporting.

Three metrics separate volume from value:

Lead-to-close rate by location. Which markets are actually converting? This is the signal that tells you where to invest more and where to pull back.

Cost per qualified lead. Not cost per lead. Cost per lead that had a real chance of closing. The difference often reveals which channels are generating noise and which are generating pipeline.

Pipeline contribution. Which locations, channels, and campaigns are directly tied to revenue? This is the number that justifies more investment, and the one most teams can’t answer accurately.

AI addresses each of these through lead scoring models that evaluate more variables per lead than any human team can process manually, smart routing that gets the right lead to the right team within minutes based on location, service type, and availability, and predictive conversion optimization that improves over time as the system learns which signals actually predict a close.

For teams looking to build better systems for nurturing leads once they enter the funnel, that post covers the mechanics in detail.

The 30-Day AI Lead Gen Rollout Plan

You don’t need a full transformation to start seeing results. A focused, four-week rollout can produce measurable pipeline impact, and it gives your team a framework to build on.

Week 1: Audit location data and identify top performers. Pull all location data into a single view: listings, lead volume, close rates, and ad performance. Flag any locations with inconsistent or outdated NAP data. Rank locations by revenue contribution, and identify your top 10 percent and bottom 10 percent. The gap between them is your opportunity map.

Specifically: go into your Google Business Profile dashboard and note which locations are incomplete, missing photos, or haven’t had a review responded to in more than 30 days. That list becomes your Week 2 priority.

A graphic showing key steps of Week 1 of an AI-lead gen transformation.

Week 2: Launch AI-driven campaigns and optimize listings. Launch Performance Max campaigns targeting your highest-opportunity locations first. At the same time, fully optimize Google Business Profiles across all locations, including photos, services, FAQs, and hours. Set up dynamic creative testing so ad variations can start adapting by market automatically. Fix the listing inconsistencies flagged in Week 1.

A graphic showing key steps of Week 2 of an AI-lead gen transformation.

Week 3: Implement personalization and start lead scoring. Deploy location-based messaging on your top landing pages. Set up AI lead scoring to prioritize high-intent leads over raw form fills. Build region-specific landing pages for your highest-traffic markets. Automate lead routing so every inbound lead reaches the right team within minutes, not hours.

A graphic showing key steps of Week 3 of an AI-lead gen transformation.

Week 4: Measure pipeline impact and reallocate budget. Pull lead-to-close rates by location and compare against your Week 1 baseline. Identify which campaigns and channels are driving qualified leads. Shift budget toward the markets and formats showing real pipeline contribution. Cut what isn’t working.

Small AI implementations compound quickly. The goal of this rollout isn’t to solve everything at once. It’s to build a feedback loop that makes your system smarter every week.

For teams that want to layer in automation across the nurturing side of the funnel, lead nurture automation is worth reading before you get into Week 3.

A graphic showing key steps of Week 4 of an AI-lead gen transformation.

FAQs

How to use AI for lead generation?

Start with the data layer: consolidate your location data, CRM signals, and customer behavior into a unified view. From there, activate AI across your paid campaigns, local listings, and content. Use the optimization layer, AI testing, budget reallocation, and personalization, to improve performance across all channels simultaneously rather than one at a time.

How does AI lead generation work?

AI lead generation uses machine learning to identify high-intent prospects, score and route leads based on conversion likelihood, personalize outreach by market, and reallocate budget toward the channels and locations showing the best performance in real time. The key is building a system where these tools share data, rather than operating in separate silos.

How can AI agents boost lead generation and sales?

AI agents can handle the repetitive, data-intensive work that slows human teams down: monitoring listing consistency, running creative tests across hundreds of markets, scoring inbound leads, and routing them to the right sales rep within minutes. That speed and precision at scale is what produces conversion lift.

Conclusion

The brands that win won’t just generate more leads. They’ll generate better ones, faster, and across every market they serve.

Multi-location complexity is only going to grow. New locations, new markets, more channels, more data. The gap between brands that build AI systems now and those that wait will widen quickly. The difference between a system that scales and one that fragments under pressure isn’t budget; it’s infrastructure.

Start with the audit. Build the connective tissue between your data, activation, and optimization layers. And measure at the location level, because that’s where the real signal lives.

If you want support building out that system, NP Digital’s consulting team works with multi-location brands on exactly this. If you want deeper insights on this topic, check out the full webinar as well.

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The May 2026 SEO Update by Yoast recap

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Each month, we host an SEO update covering the latest in search and AI. In this edition, Carolyn Shelby and Alex Moss discussed Google’s latest AI-driven changes, the impact of AI on content creation, and why simply publishing more content is no longer enough, and could even backfire. Read this recap for the highlights or watch the full May 2026 SEO Update by Yoast to dive deeper.

Watch the full recap on YouTube to dive deeper into these topics, hear some examples and hear the answer to audience questions.

Google’s preferred sources are a boost for publishers

Google released a guide to preferred sources in Google Search for web publishers, allowing users to signal their preference for specific news outlets. This is particularly useful for publishers reliant on ad revenue, as it helps drive more impressions from loyal readers.

Why it matters: If your business model depends on ad revenue from search traffic, this feature can help stabilize or even increase impressions.

Actionable takeaway:

  • Publishers should implement the preferred sources feature to maximize visibility.
  • Non-publishers, such as eCommerce sites, may not need this, but users can still set preferences for trusted sources.

UCP (Universal Checkout Protocol) expands for AI agents

Google is pushing UCP (Universal Checkout Protocol), an open standard allowing AI agents to complete purchases on behalf of users. Shopify has already integrated UCP, enabling seamless transactions directly from search results.

Why it matters: AI-driven purchases are becoming more common, and eCommerce sites need to ensure compatibility with UCP to avoid losing conversions.

Actionable takeaway:

  • If you run an eCommerce site, check if your platform supports UCP. Shopify does; WordPress/WooCommerce may need plugins.
  • Ensure product feeds are accurate to prevent issues like incorrect pricing in bundles.

Search indexing vs. grounding indexing: What’s the difference?

Bing clarified the distinction between traditional search indexing (for human users) and grounding indexing (for AI agents). Grounding indexing occurs at inference time, meaning AI models scrape and process visible text without interacting with JavaScript or hidden elements.

Why it matters: Content hidden in accordions, tabs, or behind clicks may not be seen by AI agents, even if it’s indexed by search engines.

Actionable takeaway:

  • Prioritize visible, structured content for grounding indexing.
  • Avoid relying solely on schema markup, as AI agents primarily read on-page text.

Google drops FAQ rich results (again)

Google has stopped supporting FAQ rich results in search, though they may still appear for certain sites, like medical or government pages. This doesn’t mean the FAQ schema is useless; it may still help with AI responses or future search features.

Why it matters: If you relied on FAQ rich snippets for visibility, you’ll need to adjust your strategy.

Actionable takeaway:

  • Keep FAQ schema in place, as it may still be used elsewhere.
  • Ensure FAQ content is visible on the page, so don’t hide it in accordions or tabs.

The decline of the “Ultimate guide” and commodity content

Rand Fishkin’s research highlights that long-form “ultimate guides” and low-value listicles are losing effectiveness as AI models synthesize answers directly. Google and AI systems favor authoritative, structured, and differentiated content.

Why it matters: Publishing generic, high-volume content is no longer a viable SEO strategy.

Actionable takeaway:

  • Break long guides into bite-sized, structured chapters for better AI consumption.
  • Focus on unique insights, original research, and expert perspectives to stand out.

Gemini Intelligence expands on Android

Google is integrating Gemini Intelligence into Android, enabling proactive AI features such as booking appointments and making purchases directly from search results. This shift moves users away from traditional websites, impacting traffic and ad revenue.

Why it matters: Publishers and businesses must adapt to AI-driven discovery rather than relying solely on website visits.

Actionable takeaway:

  • Optimize for AI-powered interactions by using structured data and clear calls to action.
  • Explore alternative monetization options, such as subscriptions, YouTube, or podcasts.

Google’s AI optimization guide: What you need to know

Google released a guide on optimizing for generative AI features, advising against:

  • Creating markdown versions of pages.
  • Building AI reference pages, such as llms.txt, or agents.md.
  • Publishing duplicate or low-value content for AI consumption.

Why it matters: Google wants to reduce spam and inefficiency in AI-driven search, but these guidelines are specific to Google. Other AI models, such as Perplexity and Claude, may still benefit from structured data.

Actionable takeaway:

  • Follow Google’s recommendations for Google, but don’t ignore other AI platforms.
  • Focus on high-quality, structured content that works for both search engines and AI agents.

Conde Nast CEO: Assume ad revenue from search traffic is gone

Conde Nast (publisher of Vogue, The New Yorker, etc.) is telling stakeholders to assume programmatic ad revenue from search traffic will decline. This reflects a broader shift in how publishers monetize content.

Why it matters: Publishers must diversify revenue streams beyond programmatic ads.

Actionable takeaway:

  • Explore subscriptions, memberships, and sponsorships.
  • Repurpose content for YouTube, podcasts, and newsletters to offset traffic losses.

Google I/O 2026: AI agents, personalization, and unified commerce

Key takeaways from Google I/O 2026:

  • Search is no longer the primary focus. Google is positioning itself as an AI agent manager.
  • Gemini Intelligence is expanding across devices (phones, watches, laptops).
  • Unified Wallet integrates UCP for seamless AI-driven purchases.
  • Agents and Sparks enable AI-powered research and personalization.

Why it matters: Google is shifting from a search engine to an AI-driven ecosystem, impacting how users discover and interact with content.

Actionable takeaway:

  • Optimize for AI agents (structured data, clear answers, personalization).
  • Prepare for unified commerce (UCP, AI-driven transactions).

Yoast news

Yoast also shared some exciting news this month with the launch of the Yoast AI Content Planner, a new tool designed to help users overcome writer’s block and create structured, high-quality content effortlessly. The AI Content Planner transforms a blank page into a structured draft in seconds, offering topic suggestions, outline generation, and SEO optimization tips.

It’s a helpful tool for anyone struggling to start or organize their content, saving time and improving readability and SEO. If you’re a Yoast Premium user, you can enable this feature in your WordPress editor and start experimenting with AI-driven content creation.

Yoast AI Content planner feature example
The Yoast AI Content Planner is suggesting possible content to write

Sign up for the next SEO Update by Yoast

The next SEO Update by Yoast is on June 30, 2026, at 4:00 PM CET (10:00 AM EST). Sign up here to join live!

The post The May 2026 SEO Update by Yoast recap appeared first on Yoast.

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Key Updates from Google I/O and Marketing Live 2026

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Key Takeaways

  • Google is redefining Search as a decision-making experience. AI Overviews and AI Mode let users get curated summaries, compare options, and follow up within the search itself, without clicking through to a website.
  • Gemini is now positioned as an intelligence layer across all of Google’s products. The long-term direction points toward AI handling more research, task completion, and shopping on a user’s behalf.
  • Google Ads is moving toward a goal-in, AI-executes model. Tools like Ask Advisor, Asset Studio, and expanded Demand Gen features mean advertisers define business outcomes while the platform handles more operational work.
  • Keyword-first marketing is becoming less sufficient as Google’s systems shift toward inferring intent from behavioral signals, conversational patterns, and context rather than matching exact terms.
  • Measurement quality is becoming a competitive advantage. As automation absorbs more execution, the teams that benefit most will have clean first-party data, clear business goals, and strong incrementality measurement.
  • Brand authority may be one of the most important marketing investments over the next several years. AI systems surface brands that are consistently recognized as credible and trustworthy, making authority function as distribution.

Each year, Google hosts two major events that influence how people use the internet and how brands reach them. 

The first is Google I/O, where the company introduces major consumer, developer, and platform innovations. The second is Google Marketing Live, where it outlines how advertisers can engage with those changes across Search, YouTube, commerce, and measurement. 

Historically, the two events felt seperate. I/O focused on product vision and technical progress, while Google Marketing Live emphasized ad formats, campaign tools, and media performance. 

In 2026, however, the connection between them was much clearer. 

Taken together, both events point to the same strategic direction: Google is reshaping discovery, productivity, shopping, and advertising around Gemini-powered AI experiences and more agent-driven workflows. 

AI is no longer being presented simply as a feature, an assistant, or a limited experiment, but the layer through which people access information, evaluate products, complete tasks, and interact with businesses. 

Across Search, Gemini, shopping, Workspace, YouTube, and advertising, Google emphasized experiences in which AI helps curate information, summarize options, recommend actions, and in some cases, help complete the next step for the user. 

If that direction continues, marketing teams will need to adapt quickly to a landscape defined less by manual navigation and more by AI-mediated discovery and decision making.

Google I/O 2026: Search Is Evolving Beyond Traditional Search

The biggest takeaway from Google I/O was that Google is fundamentally redefining Search. 

For more than two decades, Search has worked in a relatively simple way: users typed in queries, Google returned links, and websites competed for clicks. 

That model is changing. 

Google made clear that AI experiences are becoming a central part of Search. Building on AI Overviews, the company highlighted a more conversational search experience and described AI Mode as a major step in that direction. 

Rather than only directing users to sources, Google increasingly aims to answer questions directly, organize information, and support followup exploration within the experience itself. 

That may sound subtle, but it changes the entire structure of the web economy: search is shifting from a discovery tool toward a more decision-oriented experience. 

Users might still search for topics such as “best CRM software” or “where to travel in July,” but they are now encouraged to ask broader questions, continue the conversation, compare options, and rely on AI-generated summaries before deciding whether to visit individual sites. 

In many ways, Google is becoming the homepage of the internet all over again, except this time the experience is conversational instead of navigational. 

For marketers and publishers, this is a meaningful structural change:

  • Traffic patterns are going to change. 
  • Organic click-through rates are going to change. 
  • Content strategies are going to change. 

Traditional rankings will still matter, but visibility within AI-generated responses may become increasingly important if users receive useful summaries before visiting a website. Potentially, these responses may become more important than traditional rankings themselves.

Gemini Is Becoming a Core Intelligence Layer Across Google

The other major story from I/O was Gemini. 

Google no longer presents Gemini merely as a chatbot competitor. At I/O, the company positioned it as a core intelligence layer across many of its products and services. 

That includes Search, Android, Workspace, YouTube, shopping experiences, developer tools, and even wearable devices. 

More importantly, Google continues to invest in agent-based systems that do more than answer questions. The direction presented at I/O emphasized tools that can research, organize, recommend, and help complete tasks on a user’s behalf. 

This is where things get interesting. 

Google demonstrated experiences that can gather information, support shopping decisions, assist with workflows, and work across applications. The broader implication is that users may spend less time moving manually from one destination to another and more time working through an AI-mediated layer. 

That creates a dramatically different internet experience. 

Today, consumers browse. Tomorrow, AI may browse for them. 

That changes how businesses compete online. 

If AI systems become a primary gateway between consumers and brands, discoverability may depend less on traditional SEO alone and more on whether a business is consistently represented as relevant, credible, and useful within those systems. 

The implications are massive. 

Your future competition may not just be another brand ranking above you in Google Search. 

In that environment, the competitive question is not only who ranks first, but also which brands are surfaced, summarized, or recommended by AI in the first place. 

Google’s Hardware Direction Offers a View of What May Come Next

One of the more notable areas at I/O was Google’s continued investment in intelligent eyewear and Android XR experiences. 

At first glance, smart glasses can feel gimmicky because the category has failed before. But this time is different because the technology finally has the AI layer needed to make wearables genuinely useful. 

Google’s direction points toward ambient computing, where AI is available in the background and can respond to context in real time. 

In practical terms, that could include systems capable of: 

  • seeing what you see 
  • hearing what you hear
  • understanding your surroundings 
  • translating conversations live
  • offering recommendations instantly 
  • guiding purchases contextually 

The smartphone may still dominate today, but Google is already preparing for what comes after it. 

For example, if wearable AI becomes mainstream over the next decade, consumer behavior could fundamentally change again:

  • Search may become more spoken. 
  • Recommendations may become more proactive. 
  • Shopping may become more conversational and contextual rather than centered on explicit queries. 

Businesses that still think primarily in terms of websites and landing pages may eventually find themselves optimizing for entirely new interfaces. 

See the full panel below:

Google Marketing Live 2026: Advertising Is Becoming More AI-Driven

While I/O focused on the consumer experience, Google Marketing Live revealed the business model powering all of it. 

And the message was impossible to miss: Google Ads is moving further toward an AI-centered model. 

Over the past several years, Google has automated more of the advertising workflow. At Google Marketing Live 2026, that direction became even clearer, with Gemini-based tools spanning campaign creation, creative development, measurement, reporting, and commerce. More importantly, Google moved beyond general AI messaging and attached that strategy to specific products such as Ask Advisor, Asset Studio, new AI Search ad experiences, and agentic commerce infrastructure. 

The broader message was that marketers will increasingly provide goals, assets, data, and business constraints, while Google’s systems handle more of the operational execution. In practical terms, that means more campaign planning through conversational interfaces, faster creative iteration through Asset Studio, and more cross-platform guidance through Ask Advisor across Google Ads, Analytics, Merchant Center, and Google Marketing Platform. 

This isn’t just incremental automation anymore. Google is attempting to abstract away the operational complexity of advertising itself. 

Rather than managing every campaign detail manually, advertisers are being encouraged to define the business outcome they want, such as more leads, more purchases, more subscriptions, or more revenue, and let the platform optimize toward it. 

Then the AI determines how to achieve it. 

That’s a profound shift because it changes what marketing teams actually spend time doing. 

As execution becomes more standardized through automation, strategic inputs such as positioning, creative quality, data quality, and measurement discipline become even more important. 

Keyword-First Marketing Is Becoming Less Sufficient on Its Own

One of the clearest themes from Google Marketing Live was that traditional keyword dependency is becoming less sufficient on its own. 

For years, digital marketing revolved around precision: exact-match keywords, manual bids, segmented audiences, and granular controls. 

Google is increasingly shifting from rigid keyword matching toward broader intent understanding supported by AI, conversational search behavior, and richer contextual signals. Keywords still matter, but they matter inside a much larger system designed to interpret what a user wants rather than simply matching the exact words they typed. 

The system no longer needs exact keywords to understand what users want. It can infer intent contextually through behavior, language patterns, browsing habits, purchase signals, and conversational interactions. 

That gives Google enormous power, but it also creates tension for marketers. 

On one hand, automation can improve efficiency and performance. On the other hand, advertisers may lose some transparency and control as more decisions move into systems that are harder to inspect directly. 

The tradeoff is straightforward: Google is asking marketers to place greater trust in automated systems that promise stronger performance. 

And whether advertisers are comfortable with it or not, that future is already arriving. 

Measurement Is Becoming a Strategic Advantage, Not Just a Reporting Function

One of the most important implications of Google Marketing Live 2026 is that better automation increases the value of better measurement. As more execution moves into Gemini-powered systems, marketers need stronger inputs to guide those systems effectively. 

That puts more pressure on signal quality, first-party data, conversion design, and experimentation discipline. Google’s emphasis on Ask Advisor and a more centralized measurement workflow suggests the company wants advertisers spending less time pulling reports and more time interpreting patterns, testing ideas, and improving decision quality. 

In other words, the teams that benefit most from automation may not be the teams with the most manual platform expertise. They may be the teams with the clearest business goals, the cleanest data, and the strongest ability to measure incrementality, customer quality, and true business outcomes. 

YouTube Is Becoming Even More Important Across the Funnel

Another area that deserves more emphasis is YouTube. Google Marketing Live did not position YouTube only as an awareness channel but a platform that can support both brand building and performance outcomes, especially as creator partnerships, Demand Gen, and AI-assisted media planning become more tightly connected. 

That matters because it reinforces the broader idea that Google is not just reinventing Search. It’s redesigning how advertisers create demand and capture demand across its entire ecosystem. If Search becomes more conversational and AI-mediated, YouTube becomes even more valuable as a place to generate familiarity, trust, and preference before the user ever asks the question that leads to a purchase. 

The creator and Demand Gen updates also suggest that Google sees YouTube as a stronger bridge between discovery and conversion, not just a top-of-funnel video platform. For marketers, that means the future media mix may depend less on separating brand and performance into distinct channels and more on orchestrating them across connected AI-driven surfaces. 

Commerce Is Becoming More Conversational

Another major theme across both events was conversational commerce. 

Google is developing shopping experiences in which AI does more than display products. It helps narrow options, provide context, and support purchase decisions within the conversation. Announcements around agentic commerce, Universal Commerce Protocol, and Universal Cart suggest Google is working toward a more connected path from product discovery to transaction. 

Consumers will increasingly ask AI questions like: 
“What’s the best laptop for video editing under $2,000?” 
“Which protein powder is healthiest?” 
“What’s the best CRM for a small agency?” 

Instead of receiving only a list of links, users may receive curated recommendations with explanations, comparisons, reviews, and direct paths to purchase embedded in the experience. If Google succeeds in building more seamless agentic shopping flows, the gap between product research and transaction could shrink even further. 

This has the potential to shorten the traditional customer journey considerably. 

The future funnel may no longer look like this: 

Search → Website → Research → Cart → Purchase 

Instead, it may increasingly look like this: 

Ask AI → Receive recommendation → Buy 

That means trust signals become more important than ever. 

That means signals of trust become even more important. Brands that perform well in this environment are likely to be the ones with strong authority, clear expertise, credible reviews, and a consistent body of useful content. 

Which leads to the single most important takeaway from this entire week. 

To learn more, see my segment at the event below, starting at the 1 hour 31 minute mark:

Looking Ahead: Brand May Matter More Than Ever

Most companies still think about marketing in channels. 

  • SEO 
  • Paid ads 
  • Social media 
  • Email 
  • Content marketing 

But AI is collapsing those channels together. 

When consumers increasingly rely on AI systems to recommend products, summarize information, and guide decisions, the real question becomes: Does the AI trust your brand? 

That’s where things are headed. 

For years, performance marketing dominated because attribution was easy. Businesses could rely heavily on targeting, retargeting, and optimization tactics to drive growth. 

In an internet shaped more heavily by AI, brand becomes an increasingly important signal for discoverability. Think about it:

  • Strong brands are easier for AI systems to recognize. 
  • Strong brands are cited more often. 
  • Strong brands generate more searches. 
  • Strong brands earn more mentions, reviews, and links. 
  • Strong brands create trust at scale. 

And trust is exactly what AI systems are trying to model. 

This is why businesses that underinvest in brand today are going to struggle over the next five years. 

AI may reduce the value of short-term tactical advantages, large volumes of weak content, and purely technical optimization. But it amplifies trust and clear authority. 

The companies that win moving forward won’t necessarily be the ones producing the most content or spending the most on ads. 

They’ll be the companies that become undeniable authorities in their category. 

Because in a world where AI curates the internet for users, authority becomes distribution. 

That’s the real story behind everything Google announced this week.  It’s not about AI tools but reworking the broader discovery ecosystem around AI-assisted answers, recommendations, and commerce experiences. 

If businesses want to remain visible in that environment, investing in a recognizable, authoritative, and trustworthy brand may become one of the most important marketing priorities over the next several years.

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The SEO Update by Yoast – June 2026

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The SEO Update by Yoast – June 2026



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Don’t miss the next SEO Update by Yoast

Big changes in search are happening fast – get the context you need to keep up.

The SEO Update by Yoast brings you the latest insights on algorithm updates, AI-driven search changes, and industry developments, all in one easy-to-follow session.

Join Carolyn Shelby and Alex Moss as they discuss the stories shaping SEO today and share actionable takeaways you can apply right away.

    Who should sign up?

    This update is ideal if you:

    • Want expert insight into recent SEO changes and trends
    • Need help refining or validating your SEO strategy
    • Have SEO questions you’d like answered live

    Event details

    • Level: Intermediate
    • Duration: 1 hour
    • Live Q&A with our SEO experts
    • Free registration
    • Recording available after the session

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    First upcoming events

    SEO for beginners webinar
    27 May 2026

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    SEO for beginners webinar

    Learn the essentials to start SEO confidently and boost your site’s visibility.

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    Learn more

    SEOFOMO x WhitePress Free Meetup in Boston
    June 02, 2026

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    Carolyn

    • Speaking

    SEOFOMO x WhitePress Free Meetup in Boston

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    Yoast x WTS Global: SEO is built in community
    26 May 2026

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    Carolyn Shelby

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    Increase your site’s visibility

    • Get instant guidance on key phrases
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    WordPress 7.0 is out: the 7 highlights of this release

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    On May 20th, 2026, the next major release of WordPress came out: WordPress 7.0. While previous releases focused on improving the block editor, this release takes it to a new level. It pushes the platform into the next phase of its roadmap with smarter workflows and a more app-like experience. So, let’s dive into what’s new and what features are interesting for you.

    Table of contents

    A modern admin experience

    WordPress 7.0 introduces a refreshed admin interface. One thing that’s been changed is the new way to transition between pages in your backend. When navigating to another page, this now looks a lot smoother than before, thanks to the CSS View Transitions API. The new update also comes with a new addition to the menu bar at the top, called the Command Palette shortcut. When you click on this icon (or use the shortcut ⌘K or Ctrl+K), you get easy access to the command palette that allows you to navigate your backend or perform other actions from that bar.

    Command palette in adminbar WordPress 7.0
    The Command Palette in the menu at the top.

    Although it’s a seemingly small thing, another cool thing to mention is the new color palette. As you can see in the screenshot above, the default color scheme has changed. The palette previously known as ‘Modern’ is now the new default, better aligning the admin with the visual direction of the block and site editor. If you preferred the old look, don’t worry, it’s still available under your profile preferences, now listed as ‘Fresh’.

    Overall, these improvements and others give a fresh look and feel to the backend of your website. With the intent of making WordPress feel less like a traditional CMS and more like a modern web app.

    Revisions are now more visual

    Whenever you need to check or restore an earlier version of a page, the revisions in WordPress help you do so. These give you an idea of what has been changed on your page and when. Now, WordPress 7.0 makes this even easier with visual revisions instead of the raw text shown until now.

    Visual revisions in WordPress 7.0
    An example of the visual revisions in WordPress 7.0

    The revisions feature can be found in the same spot as before, and now, when you click it, it takes you to a preview of your page, where you can use the slider at the top to view earlier versions. The slider also shows you the date and time of the change. When looking at an earlier version of the page, additions are shown in green, changed sections in yellow, and deleted sections in red. Allowing you to locate the changes made right away.

    As before, this allows you to quickly restore previous versions of a page, find the source of layout issues and review updates. This visualization of the revisions makes it easier to do so, as you won’t have to dive into the text to figure out what changed. You’ll notice it right away when sliding between revisions.

    New blocks in the block editor

    As expected, the block editor has also gotten some new additions with the release of WordPress 7.0. For starters, the new Breadcrumbs block lets you add breadcrumbs to your pages, improving navigation on your site. When added, it automatically adds the correct breadcrumb path to the top of your page, but it also gives you options to customize it. The other new block in this release is the Icon block. This allows you to add icons to your pages from a directory of icons added to the backend.

    Directory of Icons for Icon block WordPress 7.0
    Current selection of icons you can use in the Icon block.

    There are also some improvements to existing blocks, such as the Grid Block and Cover block. The Grid block used to have an Auto/Manual toggle, but this has now been replaced by several options to help you set the responsiveness of the block and columns shown. The Cover Block now includes the option to use embedded videos as the background, so you can display videos from platforms like YouTube there. These new blocks and improvements continue to further reduce the need for plugins and custom work to achieve the desired design.

    Better responsive design controls

    Designing for mobile just got a little bit easier. This latest version of WordPress introduces viewport-based controls, allowing you to show or hide blocks depending on the user’s screen size. Simply go to the block, click ‘Show’ in the toolbar and select which devices should show the block (desktop, tablet, or mobile). This will automatically hide it on the devices that you don’t select. This allows you to fine-tune your design for different devices and build responsive designs without using custom CSS. A big win for anyone building sites without relying heavily on code.

    Smarter pattern editing

    Patterns and templates now come with different editing modes to make changes without accidentally messing up the design. When selecting a pattern, the List View will show you all the text and image elements in that pattern. This allows you to focus on the content-focused elements and change those where needed. However, when you click ‘Edit pattern’, it will also show you the remaining elements (design elements such as spacers), so you can still adjust those. This helps users focus on content optimization, while still giving the option to make changes to the design or layout if needed.

    Edit pattern from the list view in WordPress 7.0
    A list view showing the content and image elements in a pattern, with a button to edit the pattern further.

    This new approach makes it a bit easier to customize patterns to fit specific use cases across your website.

    Connect to AI tools of your choice

    WordPress 7.0 doesn’t come with any AI-powered tools, but it is laying some groundwork. It comes with a Connectors section below Settings in your WordPress backend. Here you can connect to external integrations, including AI providers or agents. This allows you to connect to Claude, Gemini, OpenAI, and more. You can search the directory if the integration you’re looking for isn’t listed right away.

    Connectors settings in WordPress 7.0
    The Connectors section in your WordPress settings

    This gives you one central place to maintain any integrations that your website or plugins need to connect to by API keys or other credentials. In addition, this gives developers a future-proof ecosystem and standardized framework to work with.

    A new list filter for plugins

    WordPress 7.0 adds a filter that allows plugins to register custom tabs on the Plugins screen. This enables grouping plugins under a custom tab with a proper label. For example, thanks to this feature we were able to add a dedicated “Yoast” tab on the Plugins screen. This groups all Yoast plugins on that website in one view, making it easier for site admins to check versions, manage activation, and keep the overview of their Yoast suite.

    Final thoughts

    As always, these are just a few highlights. New blocks, smarter workflows, a modern admin and AI foundations. There’s a lot more we haven’t discussed here. For example, performance was not ignored in this release. Particularly, client-side media processing (faster uploads, less server strain), continued improvements to block rendering, and responsiveness. These changes help WordPress scale better, especially for media-heavy sites. It’s also worth noting that WordPress 7.0 raises the minimum PHP version to 7.4.

    Still to come: real-time collaboration

    Originally, the real-time collaboration feature was going to be shipped in this release. But a short while back it was decided to postpone the release of this feature to ensure the stability of this release. This feature will probably be part of a future release.

    But for now, we can get going with the new features in WordPress highlighted above! So, go update to the latest version or dive into more details in the release post on WordPress.org.

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    12 Best Google Analytics Reports Used by Expert Marketers

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    Key Takeaways

    • Google Analytics 4 (GA4) replaced Universal Analytics in July 2023 and introduced a completely redesigned reporting interface. 
    • Standard reports are pre-built and cover everyday metrics like traffic and engagement. Explorations is a separate section for custom analysis, such as funnels and path analyses. 
    • Not every report deserves equal attention. The ones worth checking regularly are those tied to a specific question you’re trying to answer. 
    • Checking a focused set of reports on a consistent schedule is more valuable than occasionally auditing everything at once.

    If you’ve ever opened Google Analytics 4 and felt overwhelmed, you’re not alone. 

    GA4 replaced Universal Analytics in July 2023 and introduced a completely redesigned interface. With hundreds of data points across dozens of Google Analytics reports, it’s hard to know which ones are worth your time.

    The good news? You don’t need to look at everything. 

    I’ve narrowed it down to the 12 best Google Analytics reports. These are the ones worth including in your metrics. I’ll also show you exactly where to find them in GA4 and how to put the data to good use.

    What to Look for in a Google Analytics Report

    GA4 organizes its reporting into two main categories: standard reports and explorations.

    • Standard reports are pre-built templates that live under the Reports section in the left-hand navigation menu. They simplify your performance analysis because they’re ready to use from the get-go and cover most of the user data you’d want to see, such as traffic and engagement.
    • Explorations live under Explore and are a separate section for more custom analysis. They go beyond standard reports, covering metrics like funnels and path analyses. They’re more powerful but require more setup. Think of standard reports as your regular dashboard and explorations as your analysis workspace.

    The best reports are tied to a specific question you’re trying to answer. Where are users coming from? Which pages drive engagement? Where do people drop off before converting?  

    If a report doesn’t connect to a decision you can make, it’s not worth prioritizing right now.

    GA4 left-hand navigation showing the Standard Reports section and the separate Explorations section

    The Best Google Analytics Reports for Marketers

    Here are the 12 reports worth having on your regular radar, along with where to find them in GA4 and how to act on what they show.

    1. User Acquisition Report

    The user acquisition report shows how new users find your website for the first time. It’s broken down by channel: organic search, paid, social, direct, and referral. It’s your clearest read on which marketing efforts are growing your audience.

    User acquisition tracks how users were first acquired, while the traffic acquisition report (which we’ll cover next) shows where sessions come from, including those from returning users. 

    If paid traffic looks strong in traffic acquisition but weak here, you’re likely good at re-engaging existing users but struggling to reach new ones. And that’s a different problem requiring a different fix.

    Where it lives: Reports > Acquisition > User Acquisition.

    GA4 User Acquisition Report showing channel breakdown for new users, including organic search, paid, and social

    2. Traffic Acquisition Report

    GA4’s traffic acquisition shows where each visit comes from, not just how someone first found you, making it a better tool for week-over-week trend monitoring. 

    As a Google Analytics SEO report, it’s useful for quick diagnostics. For instance, you might use it to compare a specific date to historical performance or conduct a channel-by-channel scan.

    A dip in organic traffic while other channels hold steady might point to a ranking change or technical SEO issue, not a site-wide problem. That distinction’s a big deal for deciding how to respond.

    Where it lives: Reports > Acquisition > Traffic Acquisition.

    GA4 Traffic Acquisition Report showing all sessions by channel with a period-over-period date comparison

    3. Pages and Screens Report

    Pages and screens reports break down page views, average engagement time, and other engagement metrics by individual page or screen (individual screens on a mobile app). 

    These are foundational content marketing analytics data points. They make a solid starting point for understanding which posts are pulling their weight and which aren’t. You can sort by views to find high-traffic pages, and then cross-reference the engagement rate.

    For example, a page driving strong traffic but showing low engagement might signal a mismatch between what users expected and what they found. That’s a page worth auditing before creating more content on the same topic.

    Where it lives: Reports > Engagement > Pages and Screens.

    GA4 Pages and Screens Report showing page views and engagement rate sorted by individual URL

    4. Landing Page Report

    Unlike the pages and screens report, which measures all page activity, the landing page report focuses on the first page a user lands on during a visit. Landing pages reveal which content is pulling traffic from sources like social or paid campaigns.

    A landing page with high sessions and a low engagement rate could be telling you the entry experience doesn’t match what brought users there. That can be where conversion problems start, and it’s the right place to diagnose them before testing other changes.

    Where it lives: Reports > Engagement > Landing Page.

    GA4 Landing Page Report showing sessions and engagement rate for each site entry URL

    5. Engagement Overview Report

    The engagement overview report gives you a quick pulse check on how actively people interact with your site. Use it to monitor engagement trends across your website and spot sudden changes before digging into individual pages or channels.

    GA4 emphasizes engagement rate over the old UA bounce rate model. It measures the percentage of sessions that last longer than 10 seconds, involve a key event, or have at least two page or screen views.

    According to Databox benchmark data, the median engagement rate across all industries sits at 56.23 percent. 

    That’s a helpful reference point, if not a universal target. A meaningful drop in one traffic channel can signal a content mismatch or a technical issue that’s cutting sessions short (like a slow-loading page).

    Where it lives: Reports > Engagement > Overview.

    GA4 Engagement Overview showing engagement rate, engaged sessions, and average engagement time across the site

    6. Events Report

    GA4 tracks user interactions as events, including page views, clicks, form submissions, and other actions you configure. 

    The events report shows what’s firing on your site and how often each action occurs. You’ll also be able to see the events you’ve marked as key events, aka conversions. 

    Use this report to check your conversion tracking before judging content performance. If a form submission or sign-up isn’t set up as a key event, for example, your content may look like it’s underperforming even when users are taking valuable actions. 

    Before you rewrite a page or change your strategy, make sure GA4 is tracking the outcome you care about.

    Where it lives: Reports > Engagement > Events.

    GA4 Events Report showing tracked events, event count, and Key Event flags

    7. Demographic Details Report

    Google’s demographic details report is great for seeing whether the people you’re reaching are genuinely your target audience. It breaks down your audience by details like age or interests. This pairs well with acquisition data if you’re monitoring Google Analytics for social media performance.

    If campaigns targeting 35- to 54-year-old professionals are generating traffic that skews heavily under 25, that demographic mismatch shows up here before it turns up in the conversion numbers. That gives you a chance to correct targeting before spending more.

    Where it lives: Reports > User Attributes > Demographic Details.

    GA4 Demographic Details showing age, gender, location, and interest breakdown of site visitors

    8. Tech Overview Report

    Mobile accounts for more than half of global web traffic, which means a mobile performance problem can quickly become a revenue problem. The tech overview report is where you look to find those problems.

    Sort by device category and compare conversion rates between mobile and desktop. A significant gap might indicate slow load times or a layout that doesn’t translate well to smaller screens. 

    Browser breakdown is worth checking, too, since compatibility issues often affect more users than you might expect.

    Where it lives: Reports > User > Tech > Tech Overview.

    GA4 Tech Overview Report showing user breakdown by device type, browser, and operating system

    9. Key Event Attribution (Conversion) Paths Report

    Key event attribution is one of the more revealing Google Analytics SEO report views in the platform, showing how organic search contributes across multi-touch journeys.

    Last-click attribution models give all the credit to the final channel a user touched before converting. The key event attribution paths report (formerly the conversions report) provides a fuller view, showing the touchpoints a user interacted with along the path to a conversion.

    If social or display advertising consistently appears early in conversion paths, those channels deserve budget even when they don’t earn last-click credit. 

    Where it lives: Advertising > Key Events > Key Event Attribution Paths

    GA4 Attribution Paths Report showing the sequence of channels users interact with before converting

    10. Search Console Report

    Once you link Google Search Console to GA4, you can view organic search data inside Analytics. Metrics like queries and clicks are all tied to the landing pages they lead to. 

    The Console-GA4 combination puts this among the most actionable Google Analytics SEO reports.

    You can see which queries drive traffic to specific pages and where impression numbers don’t match click-through rates. The report can also uncover which pages rank but don’t convert. 

    Each data point provides key context, enabling you to fix multiple tracking issues all in one place.

    Where it lives: Reports > Acquisition > Search Console (requires linking Google Search Console to GA4).

    GA4 Search Console Report showing organic search queries, impressions, clicks, and average position by landing page

    11. Realtime Pages Report

    This report shows which pages people are viewing right now and how many users are on each page. It’s less useful for strategic analysis than the others on this list, but it’s genuinely valuable as a QA tool. 

    Say you’ve just pushed a campaign live. You can confirm tracking is firing before you make future spending decisions. 

    Realtime can also help you confirm whether new posts or key event changes are working before standard reports catch up.

    Where it lives: Reports > Real-Time.

    GA4 Real-Time Report showing current active users, pages being viewed, and live event data

    12. Retention Overview Report

    Retention is where sustainable growth happens. The retention overview report shows whether users return to your site after their first visit and how engaged they are after they’re acquired. It’s broken down by cohort over time.

    Getting people to come back builds compounding authority and revenue. A declining retention curve can reveal gaps in content quality or user experience issues. 

    These trends are worth investigating before pushing harder on acquisition, because more traffic will only amplify these issues.

    Where it lives: Reports > Retention.

    GA4 Real-Time Report showing current active users, pages being viewed, and live event data

    When to Use a Google Analytics Report Template

    GA4 lets you customize reports and save them in your library. That way, you can reuse reports without rebuilding them each time. 

    If you or your team need to share performance data with clients or leadership, Data Studio (formerly Looker Studio) is usually the better option.

    Data Studio is Google’s free data visualization tool and connects directly to GA4. You can also use pre-built Google Analytics report templates from providers like Supermetrics and Porter Metrics. These ready-made dashboards cover key data, including traffic overviews and ecommerce performance. 

    Templates let you stand up a shareable, auto-refreshing dashboard without building from scratch, a real time-saver for anyone reporting to stakeholders who don’t log into GA4 directly.

    Example dashboard incorporating data from multiple ad platforms, including Google and other popular social media channels.

    FAQs

    How do I create reports in Google Analytics?

    GA4 includes pre-built reports in the left navigation under Reports. To build a custom report, go to Reports > Library and select “Create new report.” For deeper analysis, like funnel exploration, use the Explore section. This operates separately from standard reports and offers more flexible visualization options.

    How do I automate Google Analytics reports?

    GA4 doesn’t offer native scheduled report delivery, but Data Studio (formerly Looker Studio) handles this cleanly. Connect your GA4 property, build or copy a template, then use the scheduled email feature to send reports at your preferred cadence automatically. Tools like Porter Metrics and Supermetrics extend this further for agencies managing multiple properties or clients.

    Conclusion

    GA4 populates a ton of data points. It’s on marketers to sift through the noise and boil things down to the reports that move the business needle.

    A good place to start is picking two or three Google Analytics reports from this list that fit your current business goals. 

    If growing organic traffic is your focus, you might begin with the Search Console and traffic acquisition reports. If conversion rate is the priority, events and attribution paths can show you where the gaps are.

    Whatever reports resonate with your business case, build a review cadence and stick to it. The more consistent you are, the easier it is to spot patterns and make better calls.

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    Google Search Universal Cart, expands UCP and AP2

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    Google also announced some new agentic commerce features today in Google Search including Universal Cart, expanding Universal Commerce Protocol and Agent Payments Protocol (AP2).

    Plus, Google’s Shopping Graph now contains 60 billion product listings, which is up from 50 billion from earlier this year, announced Vidhya Srinivasan, VP/GM Ads & Commerce.

    Universal Cart. Google announced what it is calling the Universal Cart, where you can put products and items from multiple retailers into one single Google Universal Cart and check out on all those items with your Google Wallet with the click of a button.

    As you are on Google Search, you can add items directly to your Google Universal Cart without having to go to a specific retailer’s website. This will work across Google Search, Gemini, YouTube and Gmail, so just keep throwing items in your cart – across Google interface and retailer and the cart will maintain your list.

    Here is a screenshot of Universal Cart showing multiple retailers:

    Google will find the best prices and deals, including which retailer has it in stock and let you check out with your preferred retailer.

    Plus, Google said Universal Cart will “anticipate your needs and help solve problems before they.” Google’s example:

    “Say you’re building your first custom PC and add a few parts from several retailers to your cart. Your cart will proactively flag any product incompatibilities and suggest alternatives. Since the cart was built on Google Wallet, it understands your payment method perks, loyalty information and merchant offers to help you choose. This lets you quickly find opportunities for hidden savings or points without having to remember them yourself.”

    Merchants. Google listed a number of merchants that support this, including Nike, Sephora, Target, Ulta Beauty, Walmart, Wayfair, and Shopify merchants such as Fenty and Steve Madden.

    Availability. This is available in Google Search and the Gemini app in the U.S. starting this summer and with YouTube and Gmail later on.

    UCP and AP2. Google expanded the Universal Commerce Protocol on Google to Canada and Australia in the coming months and in the U.K. later on. UCP will also be coming to YouTube and more Google verticals including hotel booking and local food delivery.

    Agent Payments Protocol (AP2) helps agents make payments for you, securely and with accountability, Google said. “Just tell your agent the specific brands and products you want and how much it can spend, and the agent only makes the purchase when your criteria are met,” Google explained.

    Google will launch AP2 to Google products in the coming months, starting with Gemini Spark.

    Read more at Read More

    Google lets you build your own app within Google Search with agentic coding

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    Google is now letting searchers build their own apps directly into Google Search. This enables searchers to set up a search feature that delivers the information they need, in the format they want, from the sources they want.

    Liz Reid, the head of Google Search, announced at Google I/O, “Search can build the ideal response, in the right format for your question – completely on the fly. So you can get custom generative Ul, including visual tools and simulations, tailored precisely to your needs.”

    Examples. Here are a few examples of what you can code yourself into Google Search:

    (1) Whether you want to wrap your mind around astrophysics or visualize how your watch works, Search can design custom layouts, assembling components (like interactive visuals, tables, graphs or simulations) in real-time, Google wrote.

    (2) Ongoing tasks widgets, like planning a wedding or managing a home move. Search can go a step further, building you custom dashboards or trackers that you can continue to come back to and make progress on. You can think of these like mini apps for your own specific tasks, Liz Reid explained.

    (3) Fitness tracker in Search, where you can ask Google Search to build you a custom fitness tracker. Search will code it for you, tapping into fresh, real-time sources including reviews, live maps and local data like the weather, so you get a tracker that works for you, helping you stay on track week after week.

    What it looks like. Here are some examples of what this looks like in Google Seaerch.

    Generative UI example:

    Custom tracker example:

    Availability. The generative Ul capabilities will be available for everyone in Search this summer, free of charge.

    The custom experiences with Antigravity, like mini apps, right in Search in the coming months, starting first for Google Al Pro and Ultra subscribers in the U.S.

    Why we care. Google Search will not just answer your questions but you can code your own mini apps within Google Search to give you the answers you want, in the format and style you want.

    This is really a unique way for search and likely can only be done with generative-AI features and tooling.

    Read more at Read More