Google is testing a zoom effect when you place your mouse cursor over the images in the search result snippets. Normally, these images do not move but in this test, Google is using this zoom feature to give the results a bit more dimension.

This was spotted by Sachin Patel who posted a couple of screen videos of this in action on X – here is a GIF of one of those in action:

Here are more videos:

Noticing a new change in Google Images 👇
Now when you hover over an image, it zooms in slightly — this wasn’t happening earlier. @rustybrick @brodieseo @gaganghotra_ pic.twitter.com/q4VorVYQHY

— Sachin Patel (@SachuPatel53124) June 18, 2025

I cannot replicate this.

Forum discussion at X.

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Google Search Console now includes a dedicated search appearance filter for discussion forum content, giving publishers new visibility into how user-generated discussions perform in search.

The update applies to pages that use either the DiscussionForumPosting or SocialMediaPostingstructured data types.

What’s New?

In a brief announcement, Google stated:

“Starting today, Search Console will show Discussion Forum rich results as a search appearance in the Performance reports.”

Until now, this type of content was lumped into broader appearance categories like “Rich results” or “Web,” making it difficult to isolate the impact of forum-style markup.

The new filter allows you to track impressions, clicks, and search position metrics specifically tied to discussion content.

This update isn’t about new search capabilities, it’s about measurement. Structured data for forums has been supported for some time, but publishers now have a way to monitor how well that content performs.

Structured Data Types That Qualify

The eligible schema types, DiscussionForumPosting and SocialMediaPosting, are designed for pages where people share perspectives, typically in the form of original posts and replies.

Google considers these formats appropriate for traditional forums and community platforms where conversations evolve over time. Pages built around user-generated content with visible discussion threads are the intended use case.

Both schema types share the same structured data requirements, including:

• Author name
• Date published (in ISO 8601 format)
• At least one content element (text, image, or video)

Additional details such as like counts, view stats, or reply structures can also be included. For forums with threaded replies, Google recommends nesting comments under the original post to preserve conversational context.

Implementation & Eligibility Requirements

To qualify for the new search appearance, forum content must follow Google’s structured data guidelines closely.

Google explicitly warns against using this markup for content written by the site owner or their agents. That includes blog posts, product reviews, and Q&A-style content.

If the site’s structure is centered around questions and answers, publishers are expected to use the QAPage schema instead.

Another nuance in the documentation is the recommendation to use Microdata or RDFa rather than JSON-LD. While JSON-LD is still supported, Microdata formats help reduce duplication when large blocks of text are involved.

Why This Matters

This update provides a clearer understanding of how forums contribute to search visibility. With the new search appearance filter in place, it’s now possible to:

• Measure the performance of user discussions independently from other content types
• Identify which categories or threads attract search traffic
• Optimize forum structure based on real user engagement data

Looking Ahead

Google’s decision to break out discussion forum results in Search Console highlights the growing role of user conversations in search. It’s a signal that this type of content deserves focused attention and ongoing optimization.

For publishers running forums or discussion platforms, now’s the time to ensure structured data is implemented correctly and monitor how your community content performs.

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Back in November 2021, it began sending some searchers to translated versions of webpages through the search results. Google then in May 2022 started to report on how often this happened within Search Console. So when I saw a Google representative say they are looking into an “issue” around this and “currently investigating it” I raised my eyebrows.

A thread on Reddit complains about this behavior – the person who posted wrote:

When Google’s display language is set to Vietnamese, upon clicking on some English results they will be redirected to Google Translate instead. I didn’t turn on this feature nor there is a way to turn it off. I didn’t ask for this. Also please return the traffic to the original websites. They did the hard work, not you Google.

He also shared a video of this happening:

From what I understand, this is normal behavior but a Google support representative responded:

Thank you for bringing this to our attention. We’re aware of the issue you’ve described and want to assure you that our team is currently investigating it.

Dwayne Cubbins who reported on this first and notified me of this on X shared that there has been an increase in this Google behavior.

He cited Metehan Yesilyurt who posted details of this weeks ago on X:

1️⃣ In countries where local-language content is thin, Google is now injecting translated English pages (via Google Translate) directly into AI Overviews (AIOs).

These links don’t go to the original site. They route through Google’s https://t.co/x4YV4y8hLz domain — a proxy layer. pic.twitter.com/cfQFLsADcy

— Metehan Yesilyurt (@metehan777) May 27, 2025

Metehan shared it with me then and I had it in my newsletter, I just thought this was normal behavior. You can see his full write up over here.

So maybe Google is now looking into this as an issue or maybe the Googler who replied didn’t know this is not a bug but a feature?

I am not sure.

Forum discussion at Reddit.

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Google has confirmed an ongoing disruption that is preventing some results from appearing in Google Lens, Discover, and Voice Search.

According to the company’s Search Status Dashboard, the incident began on June 12 at 1:00 p.m. Pacific Time. A follow-up entry posted at 1:16 p.m. states:

“There’s an ongoing issue with serving Google Lens, Discover, and Voice Search results that’s affecting some users. We’re working on identifying the root cause. The next update will be within 12 hours.”

At press time, the disruption is still marked as “Incident affecting Serving,” meaning the underlying services remain online but are not consistently delivering results.

Why This Matters

Google Lens, the Discover feed, and Voice Search collectively drive significant traffic to publishers, ecommerce catalogs, and local businesses.

When any of these surfaces go dark or return incomplete results, sites that rely on them can experience abrupt drops in impressions and clicks.

What To Do Next

Check for sudden drops in Discover, image, or voice traffic starting around 1:00 p.m. PT. If you see a temporary decline that matches the time on Google’s dashboard, this is likely due to the outage, not a ranking change.

Share Google’s official dashboard notice with website stakeholders. Mention that there will be another update from Google in 12 hours and explain that performance should return to normal once the service is back up.

When Will Service Be Restored?

Google hasn’t offered an estimated time of full resolution, committing only to provide another status update within 12 hours of the 1:16 p.m. post.

Historically, incidents affecting a limited number of users have been fixed within hours, although larger issues can take longer to resolve.

Until Google publishes its next update, the safest assumption is that Lens, Discover, and Voice Search services will remain unpredictable.

The core web search experience is currently listed as “Available,” so blue-link ranking checks and traditional query troubleshooting can proceed as usual.

Featured Image: Roman Samborskyi/Shutterstock

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Google retires seven structured data features including Book Actions, Course Info, and Claim Review to streamline search results. Rankings unaffected.

• Google is removing seven structured data features from search results.
• This change will not affecting rankings.
• There’s no immediate action needed.

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Google is testing a new label on its search ads within the Google Search results that says “Learn more about Sponsored results.” This label is on the bottom right of the ad and neatly tucked under the listing in the gray background style.

This was spotted by Brodie Clark who posted about this on X and SERP Alerts – he wrote, “Google is testing out a ‘learn more about sponsored results’ section on mobile at the bottom of the ads unit. This test is connected to the existing sponsored results test.”

Here is his screenshot:

The learn more link takes you to the how ads work on Google Search page.

I kind of like this label, how about you?

Forum discussion at X.

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You may remember the page includes search result snippet in Google Search. Well, now Google is testing making those clickable links that go to more search results. As a reminder, this reminds me of the tags we saw on the search result snippets in 2021, 2019 and 2017 – but I am not sure if they are the same.

This was spotted by Sachin Patel who posted screenshots on X – here is one of those examples:

The previous time we saw this, those were not hyperlinked.

Here are more examples:

Here is the mobile version pic.twitter.com/MyHnXgc6yL

— Sachin Patel (@SachuPatel53124) June 1, 2025

Forum discussion at X.

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Google co-founder Sergey Brin says AI is transforming search from a process of retrieving links to one of synthesizing answers by analyzing thousands of results and conducting follow-up research. He explains that this shift enables AI to perform research tasks that would take a human days or weeks, changing how people interact with information online.

Machine Learning Models Are Converging

For those who are interested in how search works, another interesting insight he shared was that algorithms are converging into a single model. In the past, Googlers have described a search engine as multiple engines, multiple algorithms, thousands of little machines working together on different parts of search.

What Brin shared is that machine learning algorithms are converging into models that can do it all, where the learnings from specialist models are integrated into the more general model.

Brin explained:

“You know, things have been more converging. And, this is sort of broadly through across machine learning. I mean, you used to have all kinds of different kinds of models and whatever, convolutional networks for vision things. And you know, you had… RNN’s for text and speech and stuff. And, you know, all of this has shifted to Transformers basically.

And increasingly, it’s also just becoming one model.”

Google Integrates Specialized Model Learnings Into General Models

His answer continued, shifting to explaining how it’s the usual thing that Google does, integrating learnings from specialized models into more general ones.

Brin continued his answer:

“Now we do get a lot of oomph occasionally, we do specialized models. And it’s it’s definitely scientifically a good way to iterate when you have a particular target, you don’t have to, like, do everything in every language, handle whatever both images and video and audio in one go. But we are generally able to. After we do that, take those learnings and basically put that capability into a general model.”

Future Interfaces: Multimodal Interaction

Google has recently filed multiple patents around a new kind of visual and audio interface where Google’s AI can take what a user is seeing as input and provide answers about it. Brin admitted that their first attempt at doing that with Google Glasses was premature, that the technology for supporting that wasn’t mature. He says that they’ve made progress with that kind of searching but that they’re still working on battery life.

Brin shared:

“Yeah, I kind of messed that up. I’ll be honest. Got the timing totally wrong on that.

There are a bunch of things I wish I’d done differently, but honestly, it was just like the technology wasn’t ready for Google Glass.

But nowadays these things I think are more sensible. I mean, there’s still battery life issues, I think, that you know we and others need to overcome, but I think that’s a cool form factor.”

Predicting The Future Of AI Is Difficult

Sergey Brin declined to predict what the future will be like because technology is moving so fast.

He explained:

“I mean when you say 10 years though, you know a lot of people are saying, hey, the singularity is like, right, five years away. So your ability to see through that into the future, I mean, it’s very hard”

See also: Google’s CEO On What Search Will Be Like In 10 Years

Improved Response Time and Voice Input Are Changing Habits

He agreed with the interviewers that improved response time to voice input are changing user habits, making real-time verbal interaction more viable. But he also said that voice mode isn’t always the best way to interface with AI and used the example of a person talking to a computer at work as a socially awkward application of voice input. This is interesting because we think of the Star Trek Computer voice method of interacting with a computer but what it would get quite loud and distracting if everyone in an office were interacting audibly with an AI.

He shared:

“Everything is getting better and faster and so for you know, smaller models are more capable. There are better ways to do inference on them that are faster.

We have the big open shared offices. So during work I can’t really use voice mode too much. I usually use it on the drive.

I don’t feel like I could, I mean, I would get its output in my headphones, but if I want to speak to it, then everybody’s listening to me. So I just think that would be socially awkward. …I do chat to the AI, but then it’s like audio in and audio out. Yeah, but I feel like I honestly, maybe it’s a good argument for a private office.”

AI Deep Research Can Synthesize Top 1,000 Search Results

Brin explained how AI’s ability to conduct deep research, such as analyzing massive amounts of search results and conducting follow-up research changes what it means to do search. He described a shift in search that changes the fundamental nature of search from retrieval (here are some links, look at them) to generating insights from the data (here’s a summary of what it all means, I did the work for you).

Brin contrasted what he can do manually with regular search and what AI can do at scale.

He said:

“To me, the exciting thing about AI, especially these days, I mean, it’s not like quite AGI yet as people are seeking or it’s not superhuman intelligence, but it’s pretty damn smart and can definitely surprise you.

So I think of the superpower is when it can do things in the volume that I cannot. So you know by default when you use some of our AI systems, you know, it’ll suck down whatever top ten search results and kind of pull out what you need out of them, something like that. But I could do that myself, to be honest, you know, maybe take me a little bit more time.

But if it sucks down the top, you know thousand results and then does follow-on searches for each of those and reads them deeply, like that’s, you know, a week of work for me like I can’t do that.”

See also: Google’s Ex-CEO on AI: What SEOs Should Pay Attention To

AI With Advertising

Sergey Brin expressed enthusiasm for advertising within the context of the free tier of AI but his answer skipped over that, giving the indication that this wasn’t something they were planning for. He instead promoted the concept of providing a previous generation model for free while reserving the latest generation model for the paid tiers.

Sergey explained:

“Well, OK, it’s free today without ads on the side. You just got a certain number of the Top Model. I think we likely are going to have always now like sort of top models that we can’t supply infinitely to everyone right off the bat. But you know, wait three months and then the next generation.

I’m all for, you know, really good AI advertising. I don’t think we’re going to like necessarily… our latest and greatest models, which are you, know, take a lot of computation, I don’t think, we’re going to just be free to everybody right off the bat, but as we go to the next generation, you know, it’s like every time we’ve gone forward a generation, then the sort of the new free tier is usually as good as the previous pro tier and sometimes better.”

Watch the interview here:

Sergey Brin, Google Co-Founder | All-In Live from Miami

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You’ve finally cracked the first page of Google for your target keywords, but your sales numbers aren’t budging.

Sound familiar? As marketers, we’ve all been there. That disconnect between impressive rankings and disappointing revenue is one of the most frustrating puzzles in SEO.

Rankings don’t pay the bills. Real SEO success happens when your efforts drive revenue and business growth, not just when you hit that coveted No. 1 spot.

Having a top Google ranking is like securing prime retail space on Main Street. People might walk by your storefront all day, but if they don’t come in and purchase something, what’s the point of paying that premium rent?

In this article, I’ll show you exactly how to transform your SEO strategy from a traffic generator into a revenue engine.

We’ll bridge that gap between rankings and results with actionable frameworks you can implement.

Understanding The True Purpose Of SEO

Look, rankings are great, but at the end of the day, your boss cares a lot more about what those rankings do for the business.

Sure, hitting No. 1 for a competitive keyword deserves a high-five, but what really gets leadership excited? Revenue, growth, and market share.

SEO isn’t just about technical optimizations and keyword research. It’s a strategic pathway connecting what people are searching for to your actual business results.

When you strip away all the jargon, good SEO creates a direct line from someone’s search query to money in your company’s bank account.

When we align our SEO efforts with concrete business metrics, we transform abstract rankings into tangible results.

Here’s how SEO directly connects to key business outcomes:

• Revenue Tracking: Monitor the correlation between organic search traffic and sales data to identify which keywords drive purchases.
• Lead Quality: Track conversion rates from organic search visitors compared to other marketing channels.
• Customer Acquisition: Measure the cost per lead from SEO versus paid advertising channels.
• Market Share: Compare organic search visibility against competitors in your target market segments.

The data speaks for itself:

The key metrics that truly connect SEO with business outcomes include:

1. Revenue per Keyword: Track sales generated from specific search terms.
2. Lead Value: Calculate the average value of leads from organic search.
3. Customer Journey: Map how organic search visitors move through your sales funnel.
4. Market Penetration: Monitor rankings for commercial-intent keywords in your industry.

When you align SEO efforts with business goals, you’ll produce measurable return on investment (ROI) through increased qualified traffic, improved lead generation, and trackable revenue growth.

SEO Metrics And Their Business Impact

Let’s focus on the real impact of SEO metrics on business results. While fancy dashboards can look impressive, the true importance lies in how these figures influence your bottom line.

Core SEO Metrics Explained

Here are the metrics that actually matter when connecting SEO to business outcomes:

• Organic Traffic Volume: Shows how many visitors are coming through search. Great, but traffic alone doesn’t pay the bills.
• Click-Through Rate (CTR): This shows how many people actually click when they see you in search results. A high CTR means your titles and descriptions are doing their job, convincing people to click.
• Bounce Rate: Tells you how many visitors take one look at your page and run for the hills. High bounce rates usually mean there’s a disconnect between what people expected to find and what they actually got.
• Keyword Rankings: Show where you stand in search results. But remember, ranking No. 1 for a keyword nobody searches or cares about isn’t helping anyone.
• Page Load Speed: Matters more than most marketers realize. We’re all impatient these days, and every second of delay costs you real money.

Turning SEO Metrics Into Business KPIs

Here’s how to connect your SEO work directly to business outcomes that leadership actually cares about:

• Lead Generation: Track form submissions, phone calls, and email signups from organic search traffic. These are the first steps in your revenue pipeline.
• Revenue Attribution: Connect organic search traffic to actual sales and revenue numbers. This is where the rubber meets the road for SEO ROI.
• Customer Acquisition Cost: Compare what it costs to acquire a customer through organic search versus paid channels. SEO typically delivers more sustainable, lower-cost acquisition.
• Market Share: Monitor your search visibility compared to competitors for key business terms. Growing your share of voice often correlates with growing market share.
• Local Presence: Track local search rankings and Google Business Profile metrics for physical locations. For local businesses, this direct connection to foot traffic is essential.

Practical Strategies To Connect Rankings To Results

Now, let’s dive into the important part: How can you convert those rankings into revenue? Here’s what works.

Keyword Targeting With Business Outcomes In Mind

Not all keywords are created equal. While “office chairs” might attract window shoppers, “buy ergonomic office chair with lumbar support under $300” will attract people with credit cards.

Focus your keyword research on:

• Keywords that signal buying intent. These people aren’t just browsing.
• Location terms that matter for your business. “Near me” is gold if you’re local.
• Use industry jargon that resonates with your qualified buyers. Speak their language.
• Questions that reveal customer pain points. These convert like crazy.

I’ve worked with clients who completely transformed their businesses just by shifting focus from high-volume generic terms to lower-volume terms with serious purchase intent.

Content Optimization For Conversion

Attracting visitors to your site is just the first step. Your content must effectively convert them once they arrive. Here’s what works:

• Put the good stuff up top. Nobody scrolls unless you give them a reason. You’ve got about eight seconds before they bounce.
• Be transparent about pricing. Nothing undermines conversions more than hiding the cost until the last possible moment.
• Show off your wins. Customer testimonials and case studies provide the social proof people need to make a purchasing decision.
• Write meta descriptions that sell. They should practically beg people to click through.
• Build landing pages for specific problems, not generic products. Nobody cares about your “industry-leading solution”; they care about fixing their specific problem.

In my experience, quality landing pages that actually address customer pain points convert dramatically better than generic product pages. I’ve seen it happen time and again.

Technical SEO To Maximize Conversions

The technical foundation of your site directly impacts whether visitors convert or bounce. Here’s what moves the needle:

• Speed it up: Aim for under three-second load times. Even small improvements in load time can positively affect conversion rates.
• Think mobile-first: Over 60% of web traffic now comes from mobile devices. If your site looks terrible on phones, you’re losing most of your potential customers.
• Create logical pathways: Your site architecture should naturally guide visitors toward conversion points. No one should ever wonder, “What do I do next?”
• Fix the broken stuff: Dead links and 404 errors are conversion blockers. They literally interrupt the customer journey and send people running to your competitors.
• Secure your site: HTTPS isn’t optional anymore. People simply don’t trust sites without that little padlock icon, especially when making purchases.
• Use structured data: Rich snippets help you stand out in search results and pre-qualify visitors before they even click through.

Conversion Tracking And Attribution

If you’re not tracking conversions properly, you’re flying blind.

Conversion tracking measures the direct business impact of SEO efforts by monitoring specific user actions that lead to revenue generation.

Implementing Effective Conversion Tracking

Start by identifying key actions that indicate business success:

• Set up goal tracking in Google Analytics to monitor form submissions, lead captures, and sales completions. Make sure every important action has a corresponding goal.
• Install tracking codes on conversion confirmation pages to measure successful transactions. This creates a direct line between SEO efforts and revenue.
• Track micro-conversions like newsletter signups, PDF downloads, and video views. These indicate engagement and help build your attribution model.
• Monitor phone calls through dynamic number insertion tracking codes. For many businesses, especially local ones, phone calls are high-value conversions.
• Measure form fill rates across landing pages optimized for specific keywords. This connects keyword strategy directly to lead generation.

Attribution Models: Connecting SEO Efforts To Revenue

Understanding how different touchpoints contribute to conversions helps you properly value your SEO work. Here’s what each model tells you:

• First-click attribution: Credits the initial organic search interaction. Perfect for understanding which channels are best for brand discovery.
• Last-click attribution: Focuses on the final converting search. This shows which terms actually close the deal.
• Linear attribution: Distributes credit equally across all organic touchpoints. This gives a balanced view of your entire SEO strategy’s contribution.
• Time-decay attribution: Gives more weight to recent organic interactions. Essential for understanding what drives decisions in longer sales cycles.
• Position-based attribution: Emphasizes first and last organic touchpoints. This balances discovery and decision metrics for complex customer journeys.

When you implement proper attribution, you connect SEO investments directly to business growth through accurate conversion tracking metrics.

Enhancing SEO Strategy Through Business Insights

The most successful SEO strategies leverage business data to drive decision-making.

According to recent studies, 50% of marketing professionals report an important positive impact from SEO on their marketing performance goals.

Leveraging Sales And Marketing Data

For B2B companies, search traffic generates a majority of website visits, with organic search being the largest contributor.

To create truly data-driven SEO strategies, you need to:

• Track revenue attribution: Connect your customer relationship management (CRM) and analytics platforms to see which keywords actually drive revenue, not just traffic.
• Monitor lead quality scores: Not all leads are created equal. Figure out which search terms bring your best prospects, not just the most prospects.
• Analyze sales pipeline velocity: I’ve consistently noticed that educated search visitors move through sales pipelines faster than cold leads.
• Measure acquisition costs by channel: This demonstrates SEO’s efficiency compared to other marketing efforts.
• Evaluate conversion rates by landing page: Identify your most effective content formats and topics so you can create more of what works.

Continuous Improvement: From Data To Action

Creating a feedback loop between SEO performance and business outcomes drives ongoing optimization:

• Review weekly traffic patterns: Look for shifts in geographic distribution, device preferences, and entry/exit pages.
• Track engagement metrics: Measure time on page, scroll depth, and click behavior. These reveal content effectiveness before conversions happen.
• Monitor conversion indicators: Watch form submissions, call tracking, email signups, and purchase rates. These directly connect to revenue.
• Optimize based on findings: Update your content strategy, refine keyword targeting, enhance user experience, and improve site performance based on what the data tells you.

Common Pitfalls And How To Avoid Them

I’ve seen smart marketers make these mistakes over and over. Here’s how to make sure you don’t fall into the same traps.

Misalignment Between SEO And Business Goals

This one’s a classic. The SEO team celebrates ranking improvements while the sales team wonders where all the qualified leads are.

Start tracking metrics that actually matter to your bottom line: conversion rates, lead quality, and sales pipeline velocity.

Set up specific goals in Google Analytics that track how search visitors engage with money-making actions on your site.

Without this alignment, you’re just optimizing for stuff nobody in leadership actually cares about.

Focusing On Vanity Metrics

I’ve worked with clients who were ranking No. 1 for dozens of keywords but generating exactly zero leads from all that traffic. Painful lesson learned.

Instead of obsessing over rankings, traffic, and impressions, focus on what matters:

• How many search visitors actually convert into leads or customers?
• How much revenue can you attribute to organic search?
• What does it cost you to acquire a customer through SEO versus other channels?
• How qualified are your SEO leads compared to other sources?
• How quickly SEO leads move through your sales pipeline?

Poor Or Incomplete Attribution Setup

The most common technical mistake I see is improper attribution configuration. Here’s how to fix it:

• Install conversion tracking codes: Put these on thank-you pages to connect search terms directly to completed actions.
• Set up multi-channel attribution: This shows how SEO works alongside your other marketing efforts to drive conversions.
• Track micro-conversions: Things like newsletter signups capture early-stage engagement that leads to eventual sales.
• Monitor lead scoring across sources: This helps evaluate quality, not just quantity, of your traffic sources.
• Connect CRM data: This lets you analyze the complete customer journey from first search to final sale.

Making SEO Your Revenue Engine

SEO isn’t just about climbing Google’s rankings. It’s about turning those rankings into real business results.

Your success boils down to connecting your SEO work with actual business metrics and obsessing over conversion optimization.

Remember that high rankings alone won’t pay the bills. You need to track metrics that matter, align your SEO strategy with business goals, and optimize for conversions at every step.

When done right, SEO becomes more than just a traffic generator. It transforms into a powerful revenue engine for your business. I’ve seen this transformation happen for companies across dozens of industries, from local service businesses to global ecommerce brands.

Take action now. Implement proper tracking, measure what actually matters, and continually optimize based on real data.

Before long, you’ll start seeing your SEO efforts directly contributing to your company’s bottom line.

More Resources:

Featured Image: New Africa/Shutterstock

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