In 2024, we
introduced our site reputation policy
to stop a practice where third-party content is published on a trusted website just to exploit that
site’s good reputation to rank higher in Search. This practice hurts search quality, and creates a
bad experience for users.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2021/12/web-design-creative-services.jpg?fit=1500%2C600&ssl=16001500Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-08-28 00:00:002026-08-28 00:00:00Update to the Site Reputation Policy
For most of search marketing’s history, action items stayed close to what SEO and website teams owned: technical issues, content, links, authority, and related work. Fixes often required developers, writers, or subject-matter experts, but SEO and website teams could usually diagnose the problems and influence the outcome on their own.
AI visibility doesn’t fit as neatly into that SEO box.
A company can have a technically sound website that AI crawlers can access and understand, including what the company sells and who it serves. AI may even mention and cite the brand regularly in informational responses.
Yet when a buyer asks what to purchase, those same brands can be left out. That’s because AI uses a different set of criteria when it shifts from providing information to making recommendations. As a result, AI visibility plans require action from teams across the organization, far beyond SEO and AI search.
This is why I believe AI visibility now has two jobs:
Optimize what SEO and development control.
Mobilize the organization for everything else.
Mobilizing teams across the organization will become one of the most important capabilities for in-house teams responsible for AI visibility.
Being visible and being recommended aren’t the same problem
Much of the industry’s GEO conversation today focuses on getting found and mentioned:
Can AI crawlers access our content?
Are we mentioned?
Are we cited?
Which sources influence AI responses?
How often do we appear compared with competitors?
This is a job in itself.
However, when a buyer asks:
“I need a compressed air system for a food manufacturing facility that maintains consistent pressure during variable production demand without introducing oil contamination into the process. What should I consider?”
This isn’t simply a request for information about compressed air systems. The buyer has provided a specific set of requirements and asked AI to help make a decision. AI shifts from providing information to giving advice.
To answer well, AI must determine which solutions are appropriate for food manufacturing, which can handle variable demand, which address contamination concerns, what tradeoffs the buyer should consider, and more.
The AI system compares products using documentation, technical specifications, customer experiences, third-party sources, and its understanding of manufacturers and the buyers they serve. It also applies its own understanding of what matters most in that buying scenario to its evaluation.
Once AI moves into advising, it’s no longer simply retrieving information. It’s making recommendations, and that’s when being understood and citable is no longer the same as being recommendable.
That significantly expands the role of the SEO and AI Search (GEO) team.
Sometimes AI understands your product perfectly and that’s why you’re omitted
Consider a manufacturer with strong domain authority, extensive content, and technically sound product pages. Its products consistently appear when buyers ask informational questions about the category.
Now imagine a buyer asks:
“What equipment should I use for this application if minimizing downtime is more important than initial cost?”
The manufacturer disappears from the recommendations.
Why?
Most search teams would look for a content opportunity. Maybe the website doesn’t explain the product in the context of that application. Maybe its operational advantages aren’t documented. Maybe the information exists but isn’t easy to retrieve.
Those are fixable search and content problems.
But our analysis of leading brands is uncovering issues far beyond what SEO and AI Search (GEO) teams typically consider. We’re seeing reasons such as:
Higher maintenance requirements than competing products
Missing capabilities that matter for the buyer’s specific application
Consistent customer reports of difficult support experiences for complex issues
A component with a reputation for frequent failure
Cloud connectivity that’s reported to drop frequently
These aren’t hypothetical examples. We’ve uncovered issues like these while investigating why large, sophisticated brands with strong products are omitted from AI recommendations.
In these cases, AI wasn’t failing to find the company or its products. It understood them extremely well — in fact, too well.
AI accurately recognized the products’ limitations, what could go wrong, and where buyers were likely to face risk, frustration, higher total cost of ownership, more downtime, longer repair times, and other tradeoffs.
The gaps we’re finding come down to buyer scenarios. Specific prompts surface evidence within AI’s context window that it uses to decide whether a company is a good recommendation for that buyer.
This is a fundamentally different visibility problem than SEO or getting found by AI. It’s a recommendation problem.
When recommendations are the issue, the work extends beyond the SEO and AI search (GEO) team and into cross-functional teams across the organization. In many cases, winning in AI search requires mobilizing far more teams than SEO ever did.
Getting AI to recommend a product often exposes problems outside SEO’s jurisdiction
Now consider a SaaS company that’s a true leader in its niche but consistently loses recommendations when buyers want a native integration with a particular enterprise platform. Its leading competitors offer one. This company doesn’t.
The website could clearly explain the available workaround. It could publish implementation documentation and customer examples showing the alternative works. That may improve the company’s visibility and AI’s perception. But content can’t turn a workaround into a native integration. If that capability matters to the buyer, AI sees the product as a poorer fit or a higher-risk choice.
We saw an even more striking example while researching a complex manufacturing machine. AI understood that one component was made from a different material than its competitors, recognized the performance implications of that design choice, and surfaced both the component and its material when throughput became important to the buyer later in the conversation.
The product’s design itself becomes a factor in recommendations.
Let that sink in for a moment.
Product design has rarely influenced marketing channels beyond reviews, listicles, and ecommerce filters.
This is where AI visibility moves beyond the traditional boundaries of SEO. The SEO or AI Search (GEO) team can identify the pattern, measure how often it affects important buyer scenarios, and diagnose why the product loses recommendations. But it can’t change the material used in a product, add a native integration, or rewrite a company’s warranty policy.
SEO needs to know when and how to mobilize other teams to execute AI visibility solutions.
AI visibility creates a different kind of cross-functional challenge than SEO. Analysis may uncover recommendation problems whose solutions don’t belong to SEO at all.
If AI repeatedly excludes a product because buyers need a capability it doesn’t have, the next conversation belongs with Product.
If customer evidence causes the company to lose recommendations because of poor support for complex issues, that conversation belongs with Technical Support leadership.
If the return policy or refund timeline is blocking recommendations, that conversation belongs with Finance leadership.
The SEO and AI search (GEO) team’s expanded role is to bring cross-functional teams a business problem they may not even know exists:
“When buyers ask AI about this requirement, we lose. Here’s why. Here’s how often it happens. Here’s which products or revenue opportunities it affects. How do we fix it?”
From there, the business can decide whether anything should change.
Sometimes the answer is to change the product, policy, or process. Sometimes the answer is, “We can’t change,” and the team must rely on better positioning, stronger evidence, or clearer content to improve AI’s perception. And sometimes the company decides the buyer scenario simply isn’t important enough to justify action.
Pacesetter AI visibility programs will own the program while mobilizing cross-functional teams to own the solution. That creates two layers of ownership, unlike SEO, where responsibility typically rests with the SEO team.
The SEO and AI search (GEO) team may own monitoring recommendations, investigating losses, and diagnosing their causes. But when the cause lies in the product, customer experience, operations, finance, or another function, that team must be mobilized to own the solution.
The pacesetters in AI visibility won’t be the teams that learn to optimize everything they find. They’ll be the teams that know what SEO can fix, what it can’t, and how to mobilize the organization when the answer lies elsewhere.
Join me Oct. 5 for my all-new AI Brand Visibility SMX Master Class and discover what it really takes to earn recommendations in the AI era. This isn’t another tactical SEO workshop. It’s a strategic roadmap for understanding how AI is changing discovery, and how your organization can adapt before your competitors do.
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Google is bringing Gemini Omni into Asset Studio in Google Ads, allowing advertisers to turn creative briefs, brand guidelines and existing assets into multi-format videos that can be deployed directly into campaigns.
The new capabilities are aimed at reducing the work required to produce creative variations for Demand Gen, Performance Max and other Google and YouTube campaigns.
What’s new. Starting today, Google DeepMind’s Gemini Omni model powers new multimodal video creation tools directly within Asset Studio.
Advertisers can provide their brand guidelines and website URL, enter a creative brief or select existing static assets, and use Gemini Omni to generate video storyboards and motion scenes.
How it works. Google has built the workflow around four stages: establish the brand, generate concepts, refine the creative and deploy the finished assets.
After importing brand guidelines and a URL, advertisers can generate initial concepts from prompts or existing creative. They can then use additional prompts to adjust individual scenes, voiceovers, pacing and aspect ratios before exporting the assets directly into campaigns.
Prompt-based editing. Advertisers can refine generated videos using natural language rather than rebuilding creative from scratch.
Gemini Omni can make changes to scenes, backgrounds and styling while retaining context from previous instructions, allowing advertisers to iteratively develop the creative through a conversation-like workflow.
Brand controls. Google says Gemini Omni uses reasoning during scene generation to help AI-generated assets remain consistent with an advertiser’s visual identity and tone.
Rather than only generating realistic-looking scenes, Google says the model reasons about what should happen next while attempting to maintain the brand standards supplied by the advertiser.
Multi-format creative. One of the main goals is to make it easier to produce the creative variety needed across Google’s different advertising surfaces.
Gemini Omni can generate horizontal 16:9 and vertical 9:16 versions of video creative, reducing the need for advertisers to separately produce variations for different placements across Google and YouTube.
From creation to campaigns. Finished assets can be exported from Asset Studio directly into Demand Gen, Performance Max and other YouTube or Google campaigns.
That creates a more integrated workflow where advertisers can move from a brief to generated creative and then into campaign deployment without relying on separate video production tools for each stage.
Why we care. Producing enough video variations for Google’s increasingly creative-heavy campaign types can be expensive and time-consuming, particularly when advertisers need multiple formats. Putting generation and editing directly inside Google Ads could dramatically shorten that process. But advertisers will still need to scrutinize whether AI-generated videos genuinely meet their brand standards rather than relying solely on Gemini Omni’s interpretation of their guidelines.
Bottom line. Google is turning Asset Studio into a more complete AI video production environment, using Gemini Omni to take advertisers from creative brief to brand-aware, multi-format video assets that can be deployed directly into campaigns.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/08/Google-AI-creative-avxsZN.png?fit=1672%2C941&ssl=19411672Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-08-25 18:23:122026-08-25 18:23:12Google brings Gemini Omni video creation to Google Ads
Google is significantly expanding booking capabilities for Local Services Ads (LSAs), increasing support from around 20 Reserve with Google booking partners to more than 500.
The expansion means substantially more LSA advertisers can let potential customers book directly from their ads on Google Search and Maps, according to Google Ads Liaison Ginny Marvin.
What’s new. Starting now, advertisers whose Google Business Profile already has an active partner booking link will automatically have that booking capability enabled for their Local Services Ads.
There’s no additional manual linking required. Eligible customers can move directly from seeing the LSA to making a booking through the advertiser’s existing booking partner.
A big expansion. Google says Local Services Ads now support more than 500 Reserve with Google booking partners, up from just 20.
That dramatically increases the number of businesses that could potentially use direct booking through their ads without adopting a different scheduling provider.
Bookings become paid leads. Direct bookings generated through LSAs aren’t simply an additional interaction with the ad. Google says they will flow into LSA lead reporting as paid leads.
Advertisers can continue viewing and managing those booking leads from within their Local Services Ads profile.
Advertisers still have controls. Businesses that don’t want to use a particular booking provider can adjust their preferences.
Booking settings and individual partner links can be managed under Profile & Budget > Settings within the LSA dashboard, including the ability to disable a specific partner link.
Marvin said advertisers’ booking preferences will carry over as part of that migration, helping preserve existing configurations through the transition.
Why we care. Direct booking reduces the number of steps between seeing an LSA and becoming a lead. Expanding support from 20 to more than 500 booking partners could make that experience available to significantly more advertisers. But because those bookings are treated as paid leads, businesses should also monitor booking quality and costs rather than viewing the feature simply as a free conversion improvement.
Bottom line. Google is turning direct booking into a much more widely available Local Services Ads feature, automatically connecting existing eligible Business Profile booking links and letting customers go from an ad on Search or Maps directly to making an appointment.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2026/08/LSA-booking-integration-76hGfs.png?fit=1672%2C941&ssl=19411672Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-08-25 17:55:442026-08-25 17:55:44Google expands direct booking for Local Services Ads
Google is updating its Local Services Ads lead charge policy, changing how and when advertisers are charged for calls generated by their ads.
Starting Oct. 1st, certain missed calls and subsequent calls that meet Google’s valid lead criteria will become chargeable.
What’s changing. Missed calls during business hours will now be charged as valid leads when a user stays on the line for more than 20 seconds, with some exceptions.
That means advertisers could be charged for a call even if nobody at the business actually answers it.
Subsequent calls. If an initial call doesn’t qualify as a charged lead, Google says subsequent follow-up calls between the business and the user will be charged if they meet its valid lead criteria.
Call routing exceptions. Google is introducing an exception for businesses whose call-receiving setup requires customers to press a key to reach the appropriate department.
In these cases, the 20-second timer won’t begin until the customer presses the key. Businesses won’t be charged if the customer doesn’t press a key and therefore isn’t routed.
Spam protections. Google says it is introducing new safeguards intended to limit robot calls and address spam call abuse as part of the change.
The announcement doesn’t provide further details about how those protections will work.
Why Google is making the change. Google says Local Services Ads customers often have immediate needs and expect to connect quickly with a trusted local professional.
The company says the policy change is intended to help the platform meet those customer expectations while rewarding businesses that provide “excellent responsiveness.”
Why we care. The change puts more importance on advertisers’ ability to answer calls during business hours. Businesses could now pay for missed calls that last longer than 20 seconds, making call responsiveness and routing setup more directly connected to LSA costs.
Bottom line. Starting Oct. 1, Google will broaden what can qualify as a charged Local Services Ads call lead, including missed calls lasting more than 20 seconds during business hours and qualifying subsequent calls.
First spotted. This updated was spotted by a digital marketer on X.
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Your SEOroadmap needs to be more than a list of activities.
Every line in the list could be worth doing, but they should also tell you why it matters, what it’s supposed to accomplish, or what happens if it slips a quarter. A roadmap should answer “so what” for everything on it. Otherwise, you’ve built a backlog.
It’s important to note the difference because roadmaps and backlogs serve different purposes, even though they’re sometimes mistaken for interchangeable.
SEO backlogs vs. roadmaps
A backlog is where ideas, patches, or nice-to-haves sit and wait their turn, while a roadmap is where you show measurable outcomes tied to initiatives when tasked with answering what SEO will actually deliver within a set time frame and why it deserves to be continuously funded compared to other growth levers.
Treating the two as the same is how teams end up defending activity instead of outcomes, and often, where roadmaps fail.
A backlog says:
Fix this set of canonical errors.
Add schema to a template.
Update category pages.
A roadmap says:
Why this matters.
What business outcome it supports.
Who owns it.
What has to happen first, if anything.
Expected impact, direct or indirect.
What it costs in time and resources.
How you’ll know it worked by measurement.
Everything that can clear those questions should be scored and sequenced on your roadmap. Everything that can’t should stay in the backlog until it can.
Your list is the first step. A framework for building the roadmap is the qualifying layer.
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Using SCOPE for SEO roadmapping
A helpful framework to categorize between roadmap and backlog is SCOPE. It’s similar in method to other acronymic frameworks, like RICE in product or RACI in operations.
SCOPE stands for:
Strategic alignment: Does the initiative tie to business goals the executives care about?
Confidence in delivery: Will the initiative get shipped in the way it’s intended, without being derailed by dependencies?
Ownership of execution: Who will actually do the work, and what’s their capacity?
Potential impact: What’s the value of the initiative? Can you measure it honestly?
Effort and elapsed time: What does the initiative cost, and how long will it take?
Take your list of initiatives and run them through the matrix (hypotheticals within):
Initiative
Strategic alignment
Confidence in delivery
Ownership of execution
Potential impact
Effort and elapsed time
Fix canonical tag errors on product pages
High. Protects existing rankings from splitting equity.
High. No dependencies.
SEO team
Medium. Recovers lost equity but no new demand.
Low effort. 2 weeks.
Add schema to top commercial pages
Medium. Supports visibility and CTR.
High. No dependencies.
SEO team + content
Medium. Incremental changes.
Low effort. 3 weeks.
Consolidate thin category pages
Medium. Cleans up cannibalization.
Medium. Needs stakeholder alignment.
SEO team
Medium. But potentially avoids further issues later.
Medium effort. 6 weeks.
Rebuild internal linking architecture
High. Impact across the entire website.
Medium. Needs CMS support for dynamic linking.
SEO team + dev
High. Lifts authority flow across entire site.
Medium effort. 1 quarter for data-driven analysis.
While placing the initiatives across your matrix tells you what matters most, sequencing tells you what happens when.
Doing so is beneficial because some initiatives are cheap and fast, while others are expensive and slow to pay off.
If you’re reporting on quarterly or half-year targets, your roadmap should include a mix of both. Otherwise, all of your wins will hit a wall in outcomes by month ~four, while long-horizon bets won’t show up until the next cycle, making it harder to justify the roadmap.
Here are some examples of quick wins:
Fix canonical errors: Low effort, ships in two weeks, fine outcome.
Add schema to top commercial pages: Low effort, ships in three weeks, fine outcome.
Here are some examples of long bets:
Rebuilding the internal linking architecture: Blocks a quarter of work before compounding effects become visible.
Building a pSEO directory off the product database: Has the highest upside to net-new traffic, but requires the most effort and time.
Good sequencing usually means quick wins that are low-effort and high-confidence, generating results while the slower initiatives run in parallel in the background.
That way, by the time quick wins are exhausted, you’ll start reaping the rewards of the bigger bets that have phased through their dependencies and are beginning to gain traction.
So you have the list, you have the qualifying layer, and now you’re sequencing appropriately. But what about limitations?
Build the SEO roadmap around realistic implementation
Roadmaps only work if you’re honest about what you can do.
Programmatic SEO (pSEO) is a clean example of an initiative that could slow your progress. This isn’t about spammy implementation, as some websites have produced thousands of thin pages and been hit by spam updates. It’s about building rich, unique content into database pages with structure and value for users.
Think of a large database-driven directory, for example. These initiatives can look fantastic in a strategy deck, but querying a database to spin up well-done pages with widgets across each will typically require engineering time. Meanwhile, engineering has its own roadmap and backlog that doesn’t focus on organic traffic.
The same logic applies to factors such as CMS limitations and other technical considerations. Your SEO initiatives aren’t just competing with each other on a SCOPE matrix and sequencing. They’re competing with product and dev roadmaps.
SEOFomo’s 2026 survey found that implementation bottlenecks and development constraints were the most commonly reported reasons SEO projects didn’t meet their expectations. This includes dev backlogs, limited engineering capacity, and complex architecture.
Although it can be underwhelming to accept and label initiatives as just not practical to get completed, it’s important to set realistic expectations so your roadmap remains aligned with what you can actually deliver.
Any advances in AI tooling may lower the barrier to implementation, but they won’t eliminate dependencies overnight. Complex architecture, governance, and deployment to production, especially in regulated industries, will probably still require coordination beyond the SEO team.
Measurement is table stakes and baked into defining the potential impact of initiatives on your SEO roadmap. Revenue is usually the strongest outcome.
But SEO isn’t always cleanly attributable to revenue, as some initiatives support things like brand visibility, paid acquisition efficiency in multi-touch buyer journeys, or lifecycle enablement. Or, generally speaking, SEO can reduce blended customer acquisition costs.
And the initiatives that support that contribution, although not direct, may still deserve to be on the roadmap because indirect value is still value.
Whether it’s via blended CAC efficiency demonstrated through holdouts, direct revenue tied to first-touch attribution, or a mix, there needs to be an honest plan to measure it.
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Treat the roadmap like a real operating plan
SEO roadmaps that work typically qualify their initiatives in comparison to others, are considerate of cross-functional dependencies, sequence based on capacity and expected timelines, are honest about what’s measurable, and are revisited on a regular cadence.
Once there’s early traction and a clear business impact, that’s leverage to go back and ask for increased capacity for larger bets.
In the meantime, your roadmap should be built like someone is going to ask you to defend it. Do that well enough, and no one has to.
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Is your 2026 SEO strategy actually ready for the next wave of AI search updates?
Between AI-driven search overhauls and constant algorithm tweaks, keeping your site visible can be challenging.
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 and AI changes and trends
Need help refining or validating your SEO strategy
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One of their repeated benefits is that their undershirt stays tucked all day.
That exact phrasing appears consistently across their site and off it. In reviews, roundups, and community mentions.
And when I asked Google AI Mode about shirts that stay tucked all day, UnderFit appeared in the results.
Those repeated mentions everywhere made the benefit easy for the AI to associate with the brand.
Ready to build your brand messaging document?
Start by finding out what AI is already saying about you so you can reinforce it or fix it.
Open any LLM and ask the same questions your prospects are asking, such as:
What is “YOUR BRAND”?
What are the pros and cons of “YOUR PRODUCT?”
Is “YOUR BRAND” legit?
What you’ll see is your current AI narrative.
Now, evaluate it:
Is this the category you want to own?
Are these the benefits you want to emphasize?
Is anything inaccurate, outdated, or missing?
Once you know where you stand, you’ll know what to address.
Top tip: A quicker way is to use the Semrush AI Visibility Toolkit. You get the full picture at a glance, rather than piecing it together from multiple tools one by one.
Like this:
Structure Your Website for Easy Reading and Parsing
Showing up well across the internet is one part of the job.
But you must pair that with a website that’s easy for humans and LLMs to interpret.
We create tutorials and explainers to demonstrate expertise.
Compare that to an ecommerce brand like Vat19.
Their content is highly visual and product-focused. That’s because their goal is to sell their products.
One important point:
Don’t leave YouTube in a silo.
Your videos should link back to your site and direct viewers to pages that align with the video topic.
You can do this by referencing the links in the video itself.
Or adding relevant links in the descriptions.
The way food channel Pick Up Limes does it.
Side note: For affiliate or niche publishers, this is especially important. With search traffic declining, YouTube can act as a discovery engine. It can send qualified viewers directly to targeted pages on your niche website. Or straight to the publisher’s site, when appropriate.
Want to take action now?
If you don’t have a channel yet, start with competitor research.
Go Incognito and search for topics in your niche on YouTube.
There, analyze:
Which videos get the most views relative to subscriber size
Which topics are repeated across competitors
What formats perform best (tutorial, opinion, comparison, breakdown)
What the comments reveal about audience confusion or unmet demand
This gives you two things: signal and gap.
Signals show you what people care about.
Gaps show you where you can differentiate.
From there, you’ll have a clearer picture of the kind of YouTube content that makes sense for your brand.
Plus, how it should support your website strategy.
And when you’re ready to go deeper, we have YouTube guides covering everything from channel positioning to keyword research and content planning.
Reinforce Familiarity with Short Form Videos
Short-form videos build familiarity through repetition.
These are the clips on TikTok, Instagram Reels, YouTube Shorts, and LinkedIn.
Start with one platform.
Instagram Reels, YouTube Shorts, and TikTok are the most practical entry points.
All you need are your phone camera and the in-app editor.
Ignore the advanced setups for now.
In the beginning, momentum matters more than production.
Now the question in everyone’s mind:
What should I talk about?
Start by answering real customer questions.
Get them from sales calls, support emails, search queries, and recurring objections.
Or even better.
Jot down every question you hear about your product or service over the next week.
By the end of seven days, you’ll have a list of topics to talk about.
Not just any topic. But valuable topics that your buyers are genuinely interested in.
Google Discover is Google’s personalized content feed. The cards you see when you open the Google app on your phone.
Curated by Google, it often feels more like editorially crafted content than a traditional search result.
It’s worth optimizing for because it can send serious traffic spikes.
Like when Backlinko had two articles in Discover in a single month.
Create Google Discover-Focused Content
Google Discover shows content based on your interests and browsing behavior.
So the articles that appear usually match topics you’ve recently searched for or engaged with.
For example, if you’ve been searching for home workouts lately, Google might recommend an article like:
“The 15-Minute Routine That Replaced My Gym Membership”
So, how do you get your content picked up?
The good news: As long as your page is indexed, it can appear in Discover.
But getting your content picked up usually comes down to a few specific criteria:
High-quality images at 1200px minimum
Enabling max-image-preview:large in your meta tags
Content that’s timely or tied to high-interest topics
(From what I’ve seen, Discover also tends to favor established sites with strong domain authority and publishing track records.)
To get started with Discover, add a dedicated “Discover lane” to your content calendar.
This is content for interest-based discovery.
These topics typically:
Tie into something happening now
Respond to a recent update or shift
Address a debate gaining traction in your niche
Connect to a rising interest in your category
When writing for Discover, the content needs a clear angle with stakes.
It should also feel timely. Not necessarily breaking news, but connected to something current.
Like a new regulation hitting your industry, a brewing controversy, or a trend your audience is already tracking.
That sense of “why this matters now” aligns with how Discover picks content.
This doesn’t have to mean creating content from scratch.
Often, this is about reframing.
Say you have content on “Email Marketing for Ecommerce.”
You could reposition that into:
“How Apple’s Privacy Updates Are Changing Email Marketing for Ecommerce.”
Here’s something you can do right now:
Open your recent posts and upcoming content calendar.
Pick one article and assess whether you can tie it to a recent change or development.
Then run it through the checklist below to evaluate its Discover potential.
Step
Ask
If Yes
If No
1. Timeliness
Can this be tied to something happening now
Move it into your Discover lane and emphasize the “why now”
Keep it in your search-focused lane. Don’t force it.
2. Headline
Does the headline communicate stakes or tension?
Tighten for feed appeal
Rewrite with clearer stakes. If none exist, it’s not a Discover piece.
3. Image
Do you have a strong 1200px+ featured image?
Confirm max-image-preview:large is enabled
Upgrade or create a better image before publishing
4. Hook
Does the first screen deliver momentum?
Lead with your strongest insight
Add a sharper opening or data point
5. Mobile
Is it easy to skim on a phone?
You’re Discover-ready.
Break up paragraphs and add subheads
Package Your Content for a Click in the Feed
In Discover, packaging decides everything.
Your featured image and headline determine whether anyone ever reaches your article.
That’s because when users scroll through the Discover feed, you’re competing for attention in a fast-moving, visual environment.
If your packaging doesn’t stop the scroll, the brilliance of your content is irrelevant. Discover traffic will not reach your page.
So when creating content for Discover, here’s what to do:
Package every Discover-targeted piece of content with a headline that conveys tension, stakes, or newness.
And pair it with a high-quality featured image with a clear focal point
Think of it like an ad.
After all, you’re not just competing with your usual competitors.
You’re competing with everything that person cares about: tech, health, finance, celebrity news, sport, and politics.
From experience, what makes me click often feels like news.
For example, I recently clicked on a Forbes article in my feed because the headline triggered a bit of FOMO.
And the image was something I hadn’t seen before.
If you want to develop a feel for this now, try this:
Open your Google Discover feed and scroll for five minutes.
Notice what makes you stop.
Look at:
The structure of the headlines
The clarity and composition of the images
The tone (urgent, explanatory, surprising, contrarian)
Then, look at one of your recent articles.
Is it packaged to compete?
Would the headline hold its own in that feed?
Would the image stop your scroll?
That’s the editorial eye your Discover content needs if you want more chances to be curated by Google.
4. Optimize for Conversions in a Zero-Click World
“Zero-click” means users get answers directly from other places without visiting your website.
This was already the case with featured snippets. Those boxed answers that appear at the top of Google results
But it’s now more pronounced with people getting answers directly from large language models.
That’s why conversion rate is even more critical for website marketing in 2026.
The people who arrive at your site are already pre-educated and further along in their decision-making process.
You want to make sure that every visitor who does arrive has every reason to act.
Prioritize Revenue per Visitor
With your visitor already pre-educated, they don’t need to browse through many pages before making a decision.
That means the moment they land, your job is to get them to the action.
Whether that’s booking a demo, talking to sales, or completing a purchase.
And the good news?
Conversion rate is something you can improve directly. Starting today.
The first step is to audit your site for barriers between interest and purchase.
The most impactful way to start is by reducing friction and anxiety.
Friction makes the process harder, like slow page speed or confusing navigation.
Anxiety makes the visitor hesitate, like a lack of trust signals or unclear pricing.
That’s where the audit comes in. Here’s how to run a quick one right now.
First, clarify your primary conversion goal.
Is it demo bookings? Trial sign-ups? Or product purchases?
Then, audit your site around that goal.
If your main objective is demo bookings, check:
Is the demo link visible across your site?
Is it clearly differentiated from other CTAs?
Does the demo page explain what happens next?
Now, if you operate in a category with skeptical buyers like finance, anxiety is naturally higher.
That means you need stronger assurance signals, such as security certifications, compliance documentation, and a clear process.
Whenever I audit sites, I always start with the pages closest to the sale.
That’s because these are the pages where the decision is already forming.
Plus, where friction or anxiety does the most damage.
For most ecommerce sites, that’s typically product pages and the cart.
For B2B SaaS, that could include the pricing, demo, and about page.
Use Email to Reinforce Buying Decisions
A buyer’s website experience shouldn’t end when they leave your site.
Keep that “conversation” going using email.
You do that through behavioral targeting.
That means triggering emails based on what someone did on your site.
Viewed a pricing page? Send a product comparison email with social proof
Browsed a product multiple times? Send a reminder with a limited-time offer
Started a trial? Send onboarding tips tied to the features they’ve used
In short:
You follow up while their intent is still warm.
That increases relevance and improves the likelihood that interest turns into action.
Here’s how to put this in motion.
First, check whether your email provider supports behavioral triggers tied to site activity.
Many major email platforms support this natively, including:
Klaviyo
ActiveCampaign
HubSpot
Once connected, you can trigger emails based on actions like product views, pricing page visits, trial signups, or post-purchase behavior.
For example, I bought something from Currys (a UK electronics retailer) in December.
In January, I received an email offering £10 off a future purchase.
That’s post-purchase behavioral targeting, tied to something I actually did.
It felt…personal.
And that’s not just a nice feeling. Psychologists call it reciprocity:
When a brand gives you something of value (like a personalized discount), you’re subtly more inclined to return the favor.
If behavioral targeting is new territory for you, start with one trigger.
Pick a high-intent action — say, a pricing page visit — and create a follow-up email tied to that behavior.
Keep it simple. Like a short message featuring a relevant case study or addressing a common objection.
Get that one working and expand from there.
5. Lead with Humans Behind Your Brand
The internet is awash with AI content.
Which means there’s a human premium right now, and you can claim it.
Put a recognizable voice, face, and personality behind your brand, and you stop being a stranger.
That familiarity reduces perceived risk. And reduced risk makes decisions easier.
Which means by the time someone reaches your website, the balance may already be tilting your way.
Publish Thought Leadership Content
Thought leadership content shows your brand’s clear point of view on how things should be done in your category.
(And it can also add original viewpoints that AI systems may reference.)
That often includes:
Named frameworks
Category-defining opinions
A distinctive point of view
This content can live under your company name in blog posts, reports, and social threads.
But it becomes more powerful when expressed through a visible human.
They might post on LinkedIn, front your YouTube channel, or represent your company on podcasts and panels.
In doing so, they scale the human side of your brand.
To get this rolling today, start by identifying who will represent your brand publicly.
Often, it’s the founder or CEO.
Richard Branson is The Virgin Group. Noah Kagan is AppSumo. Brian Dean was closely linked with his company Backlinko, before (and after) its acquisition.
But it doesn’t have to be the founder.
Any employee can be a brand advocate if they:
Have strong domain knowledge
Can communicate clearly
Are willing to be visible
For example, Leigh McKenzie, Director of Online Visibility at Semrush, is the public face of Backlinko today.
He shows up on LinkedIn with Backlinko content, appears on the YouTube channel, and signs the newsletter.
One more important point:
Make sure there’s an obvious association between the individual and your company.
For example, their podcast appearances should reference their role. Or their LinkedIn bio should mention your brand.
Rita Cidre’s LinkedIn profile does this well.
It clearly shows her role as Semrush’s Head of Customer Education & Community..
6. Build Visibility on Third-Party Sites
Most of the trust that brings someone to your website was built somewhere else.
In a forum thread, a Reddit discussion, or a review platform.
The same is true for AI systems.
The confidence it requires to mention your brand is shaped by what they find in those spaces.
Which means website marketing in 2026 isn’t just about your turf.
It’s also showing up on other people’s.
Because if the conversation about you happens elsewhere — and it does — you want to be part of it.
The post that generates the strongest responses becomes a newsletter.
That newsletter evolves into YouTube videos and other content assets.
Now, finding the right idea is only half of it.
The other half is platform focus.
Choose two to four primary platforms.
For some teams, that might be:
Blog + LinkedIn
YouTube + Email
Shorts + Long-form video + Email
At Backlinko, we often start with long-form blog content.
Then we selectively expand strong topics into YouTube, LinkedIn, and email.
Once you know what to expand and where to take it, use AI to accelerate execution.
Claude Artifacts is particularly useful.
For example, you can upload an article and get it to turn the article into a 10-slide carousel.
From there, your options open up.
Take one slide and turn it into an image for a LinkedIn post
Edit the full set into an Instagram carousel
Or pull individual frames as talking points for a short-form video script
You’ll still need to customize it to your brand and make it your own. But it’s a great way to get you off a blank page fast.
Automate Your Website Marketing
This is the reality of website marketing in 2026:
Some of your most valuable visibility and trust-building work happens on third-party sites.
The trust you build on those platforms can highly influence how your website performs. Design your strategy around that, and you’ll see stronger results.
The good news is you don’t have to do all of this manually.
Our AI automation guide shows you which marketing workflows to automate and how you can set them up.
You can have an impressive website, great content, and a seamless user experience.
But you might still be invisible to search engines and AI tools.
That’s because Google and ChatGPT don’t just look at your website. They also look at what other credible sources say about your brand to understand who you are and whether they should rank or recommend you.
Every time a trusted publication, community, or expert mentions your brand, it builds credibility for your business.
In this guide, I’ll cover why brand mentions matter in more detail, and I’ll give you four ways to earn more high-value mentions to boost your visibility.
I’ll also show how to track these mentions and report ROI to leadership.
What Are Brand Mentions?
A brand mention is any reference to your brand by a third party. It could be in an article, a community thread, a YouTube video, a podcast, or anywhere else online.
You can build two main kinds of brand mentions: linked and unlinked mentions.
Linked mentions include a clickable link to your website along with your brand name. For example, this article mentions Fitbit and links out to the brand’s product page.
Unlinked mentions refer to your brand without any links. For example, this Reddit user mentions Fitbit but doesn’t add any links to the brand’s website.
The key difference: Linked mentions can pass authority and referral traffic to your domain. Unlinked mentions help establish brand context for search engines and AI systems, without the direct traffic benefit. Both are useful.
Web vs. LLM Brand Mentions
Brand mentions on the web aren’t the same as getting brand mentions in AI search. Like when ChatGPT mentions your brand in its response to a user’s question.
For starters, LLM mentions vary for individual users based on their personal context, browsing history, and other factors. And they don’t exist outside of those conversations — nobody else sees those specific mentions.
In contrast, a web mention is static and shows up the same way to potentially thousands of users.
Getting mentions in AI responses is more like the goal, while getting brand mentions across the web is one of the ways you can reach that goal. Since the more consistently you appear in trusted, relevant sources, the more likely you are to show up in AI search results.
So in this guide, we’re focusing on web brand mentions. For more on getting mentions in LLMs specifically, check out this article on building AI mentions.
Why Brand Mentions Matter Now More Than Ever
Brand mentions have always played a part in gaining online visibility. But here’s why they matter even more right now:
They Signal Authority to Search Engines
Search engines evaluate your brand in part based on what the wider web says about you.
They consider who mentions you, in what context, and whether those mentions are consistent.
For example, Google recognizes brands as distinct entities in its Knowledge Graph, a database that maps relationships between people, companies, topics, and concepts.
Brand mentions are one of the primary ways Google builds and refines that entity-level understanding of your brand.
They Expand Your Visibility to New Audiences
When a website, podcast, or community thread references your brand, you become visible to a whole new audience.
That’s how brand mentions can help you reach people who aren’t actively looking for you.
Take this video by The Budget Dermatologist as an example.
The video recommends better-value alternatives to a well-known skincare product. It mentions a brand called Timeless and explains why it’s a good alternative.
In the comments, people share how they purchased Timeless after discovering the brand through this video.
In this example, the brand mentions in the video can provide useful signals for search engines and LLMs, while also influencing purchases from an audience the brand might not be directly targeting.
They Help LLMs Understand and Feature Your Brand
When LLMs recommend your brand, they’re largely drawing on language from trusted sources where your brand is mentioned across the web.
Here’s proof of this in action:
An article on the Six Minute Mile website describes the Adidas Adizero Evo SL with wording like “elite-level performance in a lightweight, no-frills package” and saying they’re ideal for “workouts and long runs.”
When Claude talks about the same shoe, the LLMs describe it in almost identical terms.
So, brand mentions on websites can be repeated almost word for word by AI tools in their responses to users.
What Makes a Good Brand Mention?
Three factors determine the quality of a brand mention: authority, relevance, and specificity.
Authority
Authority refers to the credibility of the source where you’re mentioned.
Being mentioned in highly credible sources matters because:
It shows up in places your customers are likely to be looking
AI systems and search engines may put more weight on mentions from these sources
A feature in a trusted industry publication sends a stronger signal than a vague reference on a low-traffic blog with no topical relevance.
Let’s look at two good examples of high-authority mentions for SteelSeries, a gaming accessories brand.
This brand was mentioned in:
Wirecutter article: Highly credible website with in-depth reviews
IGN’s YouTube video: Popular channel with high topical relevance
Relevance
Relevance for brand mentions works on two levels:
Context: Are you mentioned in the relevant topical context?
Source: Is the source that’s mentioning you also connected to your industry?
If you’re mentioned in an article covering a theme you want to be known for, it strengthens your topical authority.
It’s also important that the source where you’re mentioned is also relevant to your industry.
Reformation, a fashion brand, represents a great example of this.
The brand is mentioned in articles on outfit ideas and sustainable fashion — themes that align with its positioning. Both these mentions also come from fashion-centric publications.
Specificity
Specificity is the third critical aspect for the quality of brand mentions.
A genuinely helpful mention shares specific insights like:
Who you are
What you do best
Why customers should choose you over others
That’s exactly what this Reddit post does for Descript, a video editing tool:
The post discusses the tool’s standout features and specific use cases.
As a result, search engines and AI systems get clear, usable signals about what Descript does and what it’s best for. These kinds of brand mentions help them understand when and where to rank or recommend Descript to users.
4 Tactics to Earn Valuable Brand Mentions
Now that we know how brand mentions can benefit your business, let’s turn to the bigger question: How do you earn brand mentions consistently to reap all these rewards?
Here are four tactics for building brand mentions regardless of where you’re starting from.
1. Create Data-Driven, Citable Content
Original research is one of the most reliable ways to earn brand mentions. And it keeps working long after you hit publish.
When you present original research around a question your industry is actively debating, mentioning your brand becomes the only way to cite that data.
SparkToro research, in partnership with Datos, presents a great case study here.
The research answered a question that is hotly debated in the SEO community right now: what share of searches happens on Google compared to other platforms?
The key finding was that Google still accounts for just under 74% of searches, while ChatGPT has less than 3% share. This counterintuitive finding gave SEOs and marketers evidence to anchor their arguments.
As a result, practitioners cited this study and mentioned Sparktoro across multiple platforms, including news articles and Reddit threads.
(A bonus of this method is that you also often pick up quality backlinks, too.)
How to Do This for Your Brand
First, go where your audience actively discusses their concerns and queries. This could be Reddit threads, industry Slack groups, and even your own sales calls.
Look for the questions that keep coming up in these conversations, but for which there’s no evidence-backed answer. This is the question you’re going to answer with your research.
You can conduct research in a few different ways:
Run a survey: Works best when you have an existing audience or customer base to poll
Build an index: Works best when you have proprietary platform or product data that others can’t access
Conduct a controlled experiment: Works best when you can isolate a single variable and document it repeatably
Synthesize third-party datasets: Works best when public data exists but hasn’t been combined or reframed in a useful way
Before you hit publish, work backward and think about what would make your research asset easy for anyone to reference.
Asana’s State of AI at Work report is a great example of packaging original research well for citations.
Let’s break down why it’s so easy to cite:
Standalone headline: Find one specific insight or data point that summarizes your research. Asana leads with a striking one: Organizations aren’t fixing broken work; they are automating the chaos.
Section-level findings: Each chapter or section should have its own quotable claims. Asana’s report has five chapters, each focused on one theme with key insights around it.
Clear methodology: Your approach and sample size tell people how to attribute your research, like, “according to a survey of 300 B2B marketers.”
Thanks to this structure, Asana’s research data is easy to reference.
As a result, it has earned brand mentions from news outlets, industry publications, and LinkedIn users.
The report also gained 87 linked mentions from domains ranging from trade press to high-authority industry blogs.
Pro tip: Make your visuals easy to share. If your data is easy to screenshot, people can organically share the research and mention your brand.
2. Partner With Complementary Brands on Co-Created Assets
When two or more brands build a campaign together, every conversation about it mentions the brands involved in the same context.
AEO Conf 2026, co-hosted by Graphite, AirOps, and Webflow, shows how this plays out in practice.
This campaign brought together three complementary brands in the AI and web publishing space. Each brand serves a different slice of the same target audience.
Before the event, promotional posts from speakers and brand profiles generated mentions and visibility among each other’s audiences.
That meant that people who followed only one of these brands discovered the other two.
After the event, attendees posted recaps sharing their key takeaways from the conference. And each of these posts mentioned Graphite, AirOps, and Webflow together.
When the same brands are repeatedly mentioned together across independent sources, like in this case, LLMs start to associate them with the same topic.
This is called co-occurrence, and it’s one of the ways web mentions translate into LLM visibility.
How to Do This for Your Brand
Aside from hosting in-person events, you can also create co-branded giveaway campaigns.
They generate a high volume of brand mentions quickly in two ways:
Audience participation
Press coverage
Plus, a strategic PR push can generate more authoritative brand mentions beyond social media.
Poppi’s partnership with PopUp Bagels shows how this is done. The two brands co-created a limited-edition cream cheese flavor.
Creators and customers then posted about it on social media, tagging both brands.
The brands also ran PR around the launch. News outlets covered this campaign directly, creating high-quality mentions for each brand.
3. Feature Other Brands and Experts in Your Content
When you feature an expert or a brand in your content, they have a reason to share it with their audience. That earns you a brand mention and visibility in a community you didn’t originally show up in.
Slate, a platform designed for social media managers, nailed this through multiple interviews with Zaria Parvez, a leading voice in this space.
The brand first posted about a webinar highlighting Zaria’s insights.
Thanks to their long-term relationship, Zaria also shared a snippet of another interview she did with Slate. This post went out to her audience of 150,000+ LinkedIn followers, creating a high-value mention for the brand.
How to Do This for Your Brand
You can feature experts and brands in your content in a few different ways.
For starters, expert roundups are great for curating firsthand expertise from multiple contributors.
This piece features insights and advice from experienced marketing leaders for one specific question: how to choose a good marketing agency.
Benchmark reports are another good format for featuring experts.
Instead of just presenting data, invite experts to add their commentary and contextualize why the findings matter.
That context makes the report more useful. And it gives each contributor a reason to share it because their perspective is part of the story.
I found a great example of this in G2’s State of AI Sales Intelligence in Prospecting.
The report features experts from nine companies, including ZoomInfo, Cognism, and 6sense.
Each contributor shares practitioner-level insight to explain G2’s findings.
Interview series and podcasts work well because the format gives guests more room to demonstrate their expertise.
And when your content reflects someone’s expertise, they’re more likely to share it with their audience.
Klue, a competitive intelligence platform, takes this approach with their podcast “Coffee and Compete.”
Every episode is titled after the guest’s expertise.
For example, “Starting Your Win-Loss Program w/ Dylan D’Urso” is framed as an episode about Dylan’s expertise.
As a result, Dylan shares the premise of his episode and mentions Klue organically.
What matters across all these formats is how you feature each contributor.
A one-line quote buried in a list gives someone little reason to share your content. But a feature that genuinely puts the expert’s insight at the center of your piece makes it easier for them to want to share it.
Pro tip: Make it easy for contributors to share your content. Send them a ready-made asset, such as a pull-quote graphic or a short clip, that they can post directly on their socials.
4. Contribute Subject Matter Expertise Through Digital PR
Contributing your expertise to someone else’s platform is another great way to earn high-value brand mentions.
When a credible journalist quotes you or a creator interviews you and talks about your brand, your brand mention benefits from that outlet’s credibility.
An example of this comes from Kailey Bradt, CEO of Sonsie Skin, appearing on the Shopify Masters podcast.
Her brand was mentioned in the YouTube video description, chapter markers, show notes, and the Shopify blog. These are all useful potential sources for search engines and AI tools to pull from to understand what your brand does.
How to Do This for Your Brand
When pitching your expertise to any outlet, offer something genuinely useful to their audience, like:
A counterintuitive finding
A practitioner’s take on an emerging trend
A specific framework that challenges the status quo
For example, Ryan Anderson, CEO of Filevine, shared a specific practitioner playbook on the SaaStr podcast.
This brand mention comes from sharing what SaaStr’s audience wants to learn rather than what Filevine sells.
Remember that the outlet you pitch matters as much as your angle.
Chasing the biggest publications in your industry might not always be the right move.
A smaller, highly relevant outlet that your audience actively engages with can be just as effective (and sometimes more so).
Before pitching, map where your audience actually goes for information: whether that’s podcasts, publications, YouTube channels, or other similar channels.
Natalie Marcotullio, Head of Growth and Product Marketing at Navattic, provides a good example here.
She consistently shows up on specific channels that her audience (B2B SaaS marketers and PMMs) relies on, like:
In-person conferences like Above the Fold
YouTube channels like Product Marketing Adventures
Webinars and content assets with Navattic’s complementary brands
Each placement reached the same audience through a different context. And each one generated a high-value brand mention for Navattic.
How to Track and Report on Brand Mentions
To build a repeatable strategy for brand mentions that actually improve your online visibility, you need to know:
Which tactics are paying off
Where you’re losing ground against competitors
How your brand mentions lead to business outcomes
Let’s look at three methods for tracking brand mentions across the web and in AI search.
I’ll also show you how to report on each one to present meaningful findings to your leadership team.
Google Alerts and Manual Searches
Google Alerts is the simplest place to start — and it’s free.
Go to Google Alerts and set up alerts for your brand name, including common misspellings, your product names, executive names, and your top competitors.
Set the frequency to “At most once a day” so you get a single daily digest instead of a constant stream of emails.
An important note: Google Alerts can miss many mentions.
The tool may not reliably pick up community forums, subreddits, or niche industry publications.
So, supplement these daily reports with a weekly manual pass. Search your brand name across Google News, relevant subreddits, and YouTube to catch what slips through.
How to Report This
Use Google Alerts data to track how many mentions you’re picking up each week or month, and note which sources and contexts are driving them.
Keep a separate list of your highest-authority placements.
A simple monthly summary might read: “This month we earned [X] brand mentions across [channels]. The highest-authority placement was [source], which reaches an estimated [audience size] monthly readers.”
That gives stakeholders a consistent number to track over time.
Plus, it creates a story about where your brand is showing up rather than how often.
Social Listening Tools
If you want to understand where and how your brand is mentioned, you need a social media monitoring tool.
Tools like Semrush Brand Monitoring, Brandwatch, or Mention track conversations across social networks, forums, blogs, news sites, and review platforms.
They give you context like:
What people are saying about you
Whether the tone is positive or negative
How your presence compares to competitors
With the Semrush Brand Monitoring app, you can filter brand mentions by keywords, sentiments, source (blog, social media, etc.), language, and other criteria.
How to Report This
Use social listening data to build a monthly summary of core metrics such as mention volume, sentiment, and source breakdown.
Your report could present insights like: “This month we earned [X] brand mentions across [channels]. [Y%] of mentions carried positive sentiment, with the highest concentration coming from [blogs/forums/social].”
If you ran a campaign during the reporting period, flag whether mention volume spiked and whether sentiment shifted alongside it to show how your work contributed to those results.
Dive deeper: See how your brand’s mention volume compares with competitors over time by tracking your share of voice.
Backlink and Mention Monitoring Tools
Use a tool like Semrush to track when new pages link to your brand.
Semrush’s Backlinks tool shows which pages link to your site. But not all of these are brand mentions, since some links might use non-branded anchor text.
To find backlinks that are also brand mentions, filter the results by anchor text.
Click “Add filter,” select “Anchor,” and enter your brand name.
This will show you only the backlinks where your brand name is in the anchor text.
How to Report This
Focus on two things when reporting this data:
The authority of the sites mentioning you
The diversity of your mention sources
A mention from a single high-authority publication is valuable. But a pattern of mentions across many credible sites can have a stronger impact on your AI search visibility.
A useful way to frame this in reporting is something like: “This quarter, we earned [X] new mentions across [Y] unique domains, including [list two or three notable ones].”
Make Your Brand Impossible to Ignore with Strategic Mentions
Brand mentions have always been a signal of trust.
When you show up consistently in trusted publications, expert roundups, and community conversations, search engines and AI tools learn to recognize and recommend you in the right context.
But the optimization process doesn’t stop there. Our AI optimization guide shares more tactical advice on how to show up consistently in AI search.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-08-19 11:04:492026-08-19 11:04:49Brand Mentions in 2026: How to Earn and Track Them Across the Web
Google has released the August 2026 spam update and said this update will take a few days to roll out. This update applies globally and to all languages, Google added.
More details. Google posted about the update on its incident dashboard and wrote:
Released the August 2026 spam update, which applies globally and to all languages. The rollout may take a few days to complete.
Why we care. This is the third Google spam update announced in 2026, the last one was the June 2026 spam update. If your site was not impacted, then you are good to go – at least for now.
There will always be cases of sites not spamming Google that get hit by a spam update but hopefully that won’t be one of your sites.