Posts

The psychology of scannable content and bullet points

Your content has 15 seconds. That’s it. In those precious moments, your reader’s brain makes a critical decision: scan or abandon. The statistics are sobering. Users read only 20-28% of webpage content, spending an average of 15 seconds on a page before deciding whether to stay or leave. Yet many content creators still write as if their audience will consume every carefully crafted sentence from start to finish.  

Key takeaways

  • Readers scan content in 15 seconds, favoring scannable formats like bullet points for quick comprehension.
  • Research shows that effective scannable content enhances cognitive processing and engages readers better.
  • Key factors like motivation, task type, and focus determine how deeply someone will read your content.
  • Mobile usage has reshaped reading habits, increasing demand for short, structured, and scannable content.
  • To create scannable content, writers should respect cognitive patterns and optimize content structure with clear visuals.

The reality? Your readers aren’t reading; they are scanning, which is why scannable content becomes important. This isn’t a failure of modern attention spans or a sign that people don’t value quality content. It’s neuroscience in action. The human brain has evolved sophisticated pattern recognition systems that help us quickly identify relevant information while filtering out the noise. And do you know what the most potent triggers for this system are? The humble bullet point.  

When readers encounter well-structured bullet points in your blog piece, their brains release small hits of dopamine, the same neurotransmitter associated with completing tasks and achieving goals. This is a biological reward system that makes scannable content easier to process and pleasurable to consume.  

Understanding the cognitive psychology behind how people process information isn’t just academic curiosity.  It’s also the key to creating content that converts, engages, and serves your audience’s actual reading behaviors. Tools like Yoast’s AI Summarize feature recognize this reality, helping content creators quickly identify and restructure their essential points into the scannable formats readers crave. 

The scanning habits of our brain  

The myth of linear reading 

If you believe your readers start at the top of your content and methodically work their way through each paragraph, you’re operating under a dangerous misconception. Eye-tracking research from the Nielsen Norman Group reveals that people don’t read online content, they scan it in predictable patterns.  

  • F-shape scanning pattern: It is one of the most common reading patterns, where readers scan horizontally across the top, make a second horizontal scan partway down, then scan vertically down the left side.
  • Layer cake pattern: This includes scanning headings and subheadings.  
  • Spotted pattern: Jumping to specific words or phrases that catch attention.  
F-shape reading pattern of the brain

This isn’t laziness, it’s cognitive efficiency at its best. Our brains are wired to seek the path of least resistance when processing information. In a world where we’re bombarded with more content than we could ever consume, scanning helps us quickly identify what deserves our full attention. 

Cognitive load theory explains why this happens. Our working memory can only hold about 5 to 9 pieces of information at once. When content is presented in dense paragraphs, our brains work harder to extract meaning, creating mental fatigue that leads to abandonment.  

Factors that determine reading depth 

Not all scanning is created equal. Four key factors determine whether someone will scan briefly or dive deeper into your content:  

  • Level of motivation: When readers desperately need specific information, like troubleshooting a technical problem, they’ll invest more cognitive resources in careful reading. But for general browsing, they’ll skim for signals of value.   
  • Type of task: Fact-finding missions (like researching product features) create different reading behaviors than exploratory browsing. Task-oriented readers scan for specific data points, while browsers scan for interesting concepts.   
  • Level of focus: A reader juggling multiple browser tabs while checking their phone will scan differently than someone in a quiet environment dedicated to learning. Multitasking reduces the cognitive resources available for deep processing.  
  • Personal characteristics: Some people are naturally deep readers who prefer narrative content, while others are chronic scanners who gravitate toward lists and summaries. Age, education, and cultural background all influence these preferences.  

The impact of mobile evolution on content consumption 

Smartphone usage hasn’t just changed where we consume content, it’s rewired how we process information. The average smartphone user checks their device 96 times daily, creating a constant state of partial attention that makes scanning the dominant reading mode.  

Mobile screens compress information into narrow columns, overwhelming traditional paragraph structures. This physical constraint has trained our brains to prefer “thumb-friendly” content architecture: short paragraphs, frequent subheadings, and plenty of white space.

The impact transcends mobile devices. Desktop readers now expect the same scannable formats they’ve grown accustomed to on their phones. Content that doesn’t accommodate these evolved reading behaviors feels dated and inaccessible.  

The psychology behind bullet points

Understanding why bullet points work so effectively requires a quick look at how your brain processes information. When you encounter a wall of text, your mind has to work overtime to extract the key points, organize the information, and remember what matters. Bullet points do this heavy lifting for you, turning complex information into digestible chunks that your brain can process with minimal effort.

1. The mental burden relief of cognitive load reduction 

Bullet points aren’t just visually appealing, but also easy to scan. They’re cognitive performance enhancers. When information is presented in bullet format, our working memory can process it more efficiently because each point operates as a discrete unit.  

Research in cognitive psychology shows that structured information reduces the mental effort required for comprehension. This creates what researchers call “cognitive ease”, a state where information feels more trustworthy and credible simply because it’s easier to process.  

The famous 7±2 rule (also known as Miller’s Law) explains why bullet points work so well. Our working memory can comfortably hold 5-9 items at once. Well-crafted bullet lists respect this limitation by chunking information into digestible pieces that our brains can easily manipulate and remember.  

When content flows smoothly through our mental processing systems, we unconsciously associate that ease with quality and authority. This is why bullet points improve comprehension and credibility.  

2. Pattern recognition and predictability  

Human brains are pattern-recognition machines, constantly seeking familiar structures that help us predict what will happen next. Bullet points, through their predictable format, provide precisely this kind of psychological comfort.  

Visual hierarchy serves as a roadmap for our attention. When readers see a bullet list, they instantly understand the structure: each point will present a discrete piece of information, all points are roughly equivalent in importance, and the data can be consumed in any order.  

Gestalt principles explain why this works so well. Our brains use proximity (related items grouped), similarity (consistent formatting signals related content), and continuation (visual flow guides attention) to organize information efficiently. Bullet points leverage all three principles simultaneously.  

This predictability reduces cognitive anxiety. Readers don’t need to invest mental energy figuring out how information is organized, they can focus entirely on processing the content.  

3. The psychology of completion  

Perhaps the most fascinating aspect of bullet point psychology is how it triggers our brain’s reward system. Each bullet point creates a micro-task that can be “completed” simply by reading. This completion triggers a small dopamine release; the same neurotransmitter associated with crossing items off a to-do list.  

The Zeigarnik effect demonstrates why this matters. Our brains create psychological tension around incomplete tasks, making them more memorable than completed ones. Bullet points cleverly exploit this by creating multiple small completion opportunities within a single piece of content.  

This neurological reward system explains why people find lists inherently satisfying. We’re not just consuming information; we’re experiencing a series of small accomplishments that make reading feel productive and rewarding.  

4. Visual breathing room

White space isn’t space; it’s cognitive breathing room. Dense paragraphs create visual clutter that triggers stress responses in our brains, making content feel overwhelming before we even begin reading.  

Bullet points introduce strategic white space that gives our visual processing system room to operate. This breathing room prevents cognitive overload and makes content more approachable and manageable.  

Eye movement research shows that readers’ gaze patterns follow predictable paths through well-spaced content. White space guides attention naturally, creating a visual rhythm that supports comprehension rather than fighting against it.  

The science of information processing  

Working memory and executive function  

Working memory is the temporary storage system where we manipulate information while processing it. Unlike long-term memory, which has virtually unlimited capacity, working memory can only handle a few items simultaneously.  

Bullet points support working memory by presenting information in pre-chunked units. Instead of extracting key points from dense paragraphs, a task that requires executive function resources, readers can directly process the distilled information.  

Research comparing narrative versus expository text comprehension shows structured formats consistently outperform traditional paragraphs for information retention and comprehension speed. The brain’s executive functions can focus on understanding content rather than organizing it.  

This is particularly important for complex or technical information. When cognitive resources are allocated efficiently, readers can engage with more sophisticated concepts without experiencing mental fatigue.  

The discrete thought advantage  

Each bullet point functions as a self-contained information unit, allowing for what cognitive scientists call “discrete processing.” Unlike paragraphs, where ideas build upon each other sequentially, bullet points can be processed independently.  

This creates a “mental reset” opportunity between points. Readers can fully process one concept before moving to the next, preventing cognitive overload when multiple ideas compete for working memory space.  

The difference is like comparing building a tower (paragraphs) versus collecting individual blocks (bullet points). Building requires awareness of the entire structure, while collecting allows focus on each piece.  

Speed vs. comprehension 

Critics often argue that scannable content sacrifices depth for speed, but research suggests a more nuanced reality. Studies show that bullet formats can improve comprehension for certain types of information while dramatically increasing processing speed.  

The key matches the format of the content type. Bullet points excel for factual information, feature lists, and step-by-step processes. They’re less effective for narrative content, complex arguments, and emotional storytelling.  

In research studies, retention rates for structured information consistently outperform unstructured text. The sweet spot appears to be content that balances scanning speed with information density, exactly what effective bullet points achieve.  

This is where AI-powered tools like Yoast’s AI Summarize feature become invaluable. They can analyze dense content and identify the key points that would benefit from bullet formatting, helping writers optimize speed and comprehension without sacrificing essential nuances.  

Transform long content into scannable takeaways

Instantly highlight your core insights with AI Summarize, in Yoast SEO Premium. Generate editable summaries in seconds.

Get Yoast SEO Premium Only $118.80 / year (ex VAT)

The hierarchy of scannable elements  

The content ecosystem  

Bullet points are not isolated components; they’re part of a broader ecosystem of scannable elements that work together to create user-friendly content. An effective scannable design incorporates multiple layers of visual hierarchy.  

Headings and subheadings serve as navigation anchors, allowing readers to identify relevant sections quickly. They’re the highway signs of content, helping people find their destination without reading every word.  

Numbers and statistics act as attention magnets, drawing the eye with their specificity and authority. Our brains are wired to notice numerical information, making stats powerful tools for engagement.  

Bold text and formatting provide visual cues that guide attention to key concepts. Strategic emphasis helps readers identify the most important information without overwhelming the overall design.  

White space ties everything together, preventing visual overcrowding and giving each element room to breathe. The silence between notes makes music coherent.  

Choosing from Lists and other formats  

Different content types call for different scannable formats. Understanding when to use each format prevents the monotony of bullet point overuse while optimizing for specific communication goals.  

  1. Bullet points: They excel for features, benefits, and key takeaways where order doesn’t matter. They’re perfect for highlighting multiple advantages or listing unranked options. 
  1. Numbered lists: These lists work best for processes, rankings, and sequential information. They provide clear progression and help readers track their position within the content.
  1. Tables: Ideal for comparisons and data-heavy content. They allow readers to scan vertically and horizontally, facilitating quick comparisons across multiple variables.
  1. Paragraphs: An essential storytelling instrument, context-building, and complex arguments requiring narrative development. The key is using them strategically rather than defaulting to them automatically.  

The mobile-first psychology

Mobile usage hasn’t just changed screen sizes, it’s fundamentally altered how we consume content. Thumb-scrolling creates different engagement patterns than mouse-based navigation, favoring content that works with natural thumb movements.  

The “thumb-friendly” hierarchy prioritizes easily tappable elements and accommodates one-handed usage. This means shorter sections, more frequent headings, and content designed for vertical scrolling rather than horizontal scanning.  

Responsive design psychology goes beyond technical implementation. It requires understanding how reading behaviors change across devices and optimizing content structure for each context.  

Implementing psychology-driven content

Knowing the science behind scannable content is one thing—putting it into practice is another. The good news? You don’t need a psychology degree to create content that respects how your readers’ brains work. With a few strategic adjustments to your writing process, you can transform dense, intimidating content into clear, engaging material that people actually read and act on. Here’s how to make the psychology work for you.

The content creator’s checklist  

  • Pre-writing considerations: Analyze your audience’s attention constraints and reading context. Are they researching solutions under pressure, browsing casually, or seeking deep understanding? This determines your optimal scannable structure. 
  • During writing: Identify natural breaking points during writing where concepts shift or new ideas emerge. These transition moments are perfect for bullet points, subheadings, or formatting changes supporting scanning behaviors. 
  • Post-writing optimization: Simulate scanning behavior by reading only headings, first sentences, and formatted elements. Does the content still make sense and provide value? If not, restructure to serve better scanning readers.  

Tools and techniques  

  1. Readability analyzers: They provide objective metrics for content accessibility, but understanding their psychological basis helps interpret results more meaningfully. High readability scores often correlate with scannable structure.
  1. Heat mapping tools: One of the most potent tools for revealing reader attention patterns, showing where scannable elements succeed or fail. This data helps optimize formatting for real usage rather than theoretical best practices.
  1. User testing methodologies: A one of the kind testing methods that is used for content structures and can also include card sorting exercises, first impression tests, and task-based evaluations. They reveal how well your formatting serves actual reader goals. 

Respecting your reader’s brain  

Understanding the psychology of scannable content isn’t about manipulating readers, but about respecting how their brains process information. Everyone wins when we create content that works with cognitive patterns rather than against them.  

Readers get information they can consume efficiently without sacrificing comprehension. Content creators build trust and engagement by serving their audience’s genuine needs rather than forcing outdated consumption models.  

The competitive advantage goes to those recognizing that effective content serves the reader’s brain, not the creator’s ego. Attention is the scarcest resource, so content that respects cognitive limitations while delivering genuine value will consistently outperform material that ignores psychological realities.  

Ready to implement these insights with Yoast SEO? Start by auditing your existing content through a psychological lens. Look for opportunities to break up dense paragraphs, add scannable elements, and create the visual breathing room that modern readers crave. Your audience’s brains and content performance will thank you.

Give your readers instant clarity, every time!

Make every post easier to read, scan, and share. Use AI Summarize to create key takeaways and boost engagement.

Get Yoast SEO Premium Only $118.80 / year (ex VAT)

The post The psychology of scannable content and bullet points appeared first on Yoast.

Read more at Read More

How Tag Sequencing Is Affecting Website Data Quality When Utilizing Consent Management

Have you noticed that your site analytics feel a little, well, off lately? It’s not just your imagination. We’ve found a subtle growing issue popping up across multiple clients, and it might be hitting your site, too.

It comes down to GTM tag priority and how these tags fire in relation to consent management. If tags load out of order or before the user gives proper consent, your tracking can break. This means lost sessions, broken attribution, and inaccurate conversion data.

We’ve seen this firsthand, but we’ve taken steps to fix it. Let’s break down what tag sequencing is and why it matters. In addition, we’ll give you some tips to help make sure your data stays clean and compliant without sacrificing its usefulness.

Key Takeaways

  • Poor tag sequencing can lead to missing data, inflated conversion rates, and inaccurate attribution.
  • Tag priority matters, especially when consent management platforms are in play.
  • We’ve seen clients lose up to 20% of reported traffic due to sequencing issues.
  • Fixes include loading the consent script first, mapping tags to categories, and blocking tags until consent is confirmed.
  • Regular audits are non-negotiable. One misstep in your CMP or tag manager setup can break your entire funnel.

What is Tag Sequencing And Why Is It Important?

Tag sequencing is the order in which tracking tags, like analytics, advertising, or personalization, fire on your website. While it sounds simple, it plays a big role in the accuracy of your data.

When you use a consent management platform (CMP), sequencing these tags becomes even more important. Some tags aren’t allowed to fire if users don’t give specific consent. Others rely on earlier tags to work correctly. If the order’s off or a critical tag doesn’t fire, your tracking capabilities break down, and so does your reporting. CMP triggers or blocks tags in the right sequence so only authorized data collection occurs. This preserves regulatory compliance and performance accuracy.

Done right, sequencing ensures:

  • Only approved tags fire (keeping you compliant)
  • Tags load in the right area (keeping your data clean)
  • Your campaigns see proper attribution (keeping your ROI real)

If you ignore tag sequencing, you risk bad data. Even worse, you can lose conversions and break your customer insights.

An infographic on how cookie consent works.

The Impact of Tag Sequencing on Data Quality (and the bottom line)

When you fail to set your GTM tag priority correctly, it can distort your data (sometimes massively). We’ve seen this across major brands in finance, hospitality, and automotive industries. In each case, the same issue kept popping up: the first page of a user’s visit wasn’t being tracked.

That doesn’t sound like a big deal, but it is. That one misstep led to a massive ripple effect:

  • Traffic was underreported by as much as 10 to 20 percent.
  • Site-wide conversation rates looked artificially inflated.
  • Channel attribution didn’t match reality.
  • Content performance data became unreliable.

Here’s why that’s a problem: broken data could also lead to broken strategies. You could be pulling budget from channels that are working or double down on content that doesn’t actually convert. Either way, your decisions are off base.

The scary part is that this isn’t always obvious unless someone digs into the tags and sequencing logic; if you’re not actively spending time in the sequence, you may not notice an issue.

The Causes Behind Tag Sequencing Issues We’ve Found

Most tag sequencing issues come down to one of five things, which are often more common than you’d expect. If you’ve noticed attribution issues, you might have the following issues:

  1. Consent misconfiguration. Tags aren’t properly mapped to categories like analytics, marketing, or performance. Even if a user opts in, the right tags may not fire.
  2. Network latency. If your consent platform loads too slowly, it could delay or block tags entirely.
  3. Script placement. Tags placed above the consent script in the site header will run before user choices are processed.
  4. Direct-to-page scripts. It’s important to note that not all scripts necessarily sit in GTM, for a variety of reasons. If the consent banner configuration on the site doesn’t fire before these scripts and the GTM tags, it will cause issues. This applies whether you implement tags directly in GTM or the site itself.

When these problems stack up, you can often get missing data or broken attribution. This skews performance and could impact your decisions surrounding future resource allocation.

Consent Mode in Google Tag Manager.

Source

How To Fix Your Tag Sequencing Before It Impacts Data Quality

Fixing tag sequencing isn’t complicated, but it is important. We’ve helped our clients clean up their setup and reclaim accurate tracking with the following best practices:

  • Load your consent script first. This should be the very first script in your header. Put it before any analytics, marketing, or tracker tags. 
  • Use your CMP to block everything else until the user’s choice is known. See below for an example of how to use OneTrust CMP to create active group triggers.
  • Assign consent categories to every tag. These categories ensure your platform knows what to load and when.
  • Audit your tags regularly. Site updates, script changes, and even CMP updates can reset sequencing logic without any warning. These screenshots are from our partner, ObservePoint, that we utilize for scaled audits. This tool can help scale up consent audits and can help us validate user consent selections. The below example shows what categories of tags fire when a user opts in vs. opts out and can be a quick way to determine whether further investigation is needed – for example, if we expect zero analytics tags to fire when consent is not given, and we see analytics tags firing on 4% of pages scanned that are opt out, that would flag to us that there is an issue with configuration. 
Scaled audits on ObservePoint.
Scaled audits on ObservePoint.

How does this work in action? Take a look at the below examples to show how we utilize OneTrust CMP and create groupings based on cookie types: ( Performance, Marketing, Analytics, etc.). Mapping cookie types to their corresponding cookie groups and then assigning them to appropriate tags within GTM so the users cookie choices map with what tags fire once consent is given.

Creating group types based on cookie types in OneTrust CMP.

Below, by assigning that active group trigger as an And statement to an existing tag, this ensures both values are present before the tag fires, avoiding the issue we’ve been seeing.

Creating group types based on cookie types in OneTrust CMP.

Failure to fix tag sequencing means you break your compliance and your data, which will inevitably trickle into every marketing decision you make.

FAQs

What is tag sequencing in GTM?

<h3></h3>

It’s the order in which tags are triggered on your site. When using consent management, this sequence determines which tags fire—and when—based on user permissions.

How can bad tag sequencing affect my data?

If tags fire too early (or not at all), you’ll miss sessions, inflate conversion rates, and get unreliable channel attribution.

Can I manage tag sequencing without a developer?

Yes—tools like Google Tag Manager and modern CMPs make it easy to handle sequencing logic without code, as long as they’re set up properly. 

How often should I check my tag sequencing setup?

Audit it quarterly, or anytime you update your website, CMP, or launch a new campaign. One misplaced script can throw off everything.

Conclusion

Tag sequencing may seem like a simple technical skill, but it’s so much more than that. It creates a backbone for reliable data that underpins many of your marketing decisions. Tags that fire out of order can break tracking, skew analytics, and cause you to miss valuable opportunities.

But it’s a fixable issue, and a few key adjustments to your GTM setup and consent platform can get things back on track and keep them there.

If you want to dive deeper into clean data, consider performing a technical SEO audit and explore how your site’s structure can impact your results. But if you’re still unsure whether your tag setup costs you conversions, let’s talk. Fixing it now can save you wasted spend (and effort) down the line.

Read more at Read More

Semrush AI SEO: How to Audit Your AI Search Visibility

AI answers are taking over search. More people are turning to Google AI Overviews, ChatGPT, and Perplexity for recommendations.

And if your brand isn’t showing up in those AI answers? You’re missing out on a huge (and growing) slice of your market.

That’s why Semrush built the AI SEO Toolkit. It’s a major unlock for marketers trying to understand how AI is impacting their
business.

Today, I’m going to show you how to use it — step by step — with a real example.

TL;DR: Measure Your AI Search Visibility

Here’s what you need to know about Semrush’s AI SEO Toolkit:

What it does:

  • Tracks how your brand appears across ChatGPT, Google AI Overviews, Google AI Mode, and Perplexity — showing which prompts include you and where you’re missing
  • Provides prompt tracking, content audits, and competitor comparisons

What it costs:

  • $99/month per domain (no trial)

Step 0: Start With a Brand

Before we analyze anything, let’s pick a brand to make this walkthrough concrete.

I went to Exploding Topics, browsed the ecommerce category, and picked Petlibro — a trending startup that sells smart pet feeders and water fountains.

I have zero affiliation with Petlibro. This isn’t sponsored. I just wanted a brand that’s growing fast and has enough search demand to make this example interesting.

Exploding Topics – Petlibro – Trending Startups

Step 1: Get Your Search Baseline

Before we look at AI, we want to know how Petlibro is doing in traditional search. It’s super valuable context that will help us understand how they’re performing in LLMs.

To understand their current search baseline, head to Semrush’s Domain Overview.

Enter the brand’s domain name and look at the last 18 months. Looking at petlibro.com, they’ve been growing a TON.

Domain Overview – Petlibro – Overview

They get most of their traffic from the U.S., rank for more than 25,000 keywords, and have a domain Authority Score of 43 with backlinks from 2.8K referring domains.

And they rank well in traditional SERPs for a bunch of highly relevant category and product keywords.

Organic Research – Petlibro – Positions

So they’re a real brand that’s already doing a good job with SEO. And good search engine optimization often correlates with good AI optimization.

If your brand has so far neglected SEO, now is the ideal time to tackle that with a solid AI SEO strategy (which this audit will help you form).

Step 2: Check Your AI Visibility

Now for the fun part.

Back in the Semrush dashboard, look for AI SEO in the sidebar.

Semrush – AI SEO – Brand Performance – Analyze

Enter petlibro.com, and a few minutes later, your Brand Performance dashboard will be ready for review.

Semrush – AI SEO – Brand Performance – Petlibro

On the right side, you can see the Share of Voice versus Sentiment Score.

The most interesting thing I noticed right away is that Petlibro has relatively low Share of Voice (6%) in regular ChatGPT, without Search.

Semrush – AI SEO – Brand Performance – Petlibro – Share of Voice

That’s because ChatGPT 5 without search enabled has a training data cutoff of September 30, 2024.

And as we saw in traditional search, Petlibro has been growing a LOT in the last year.

Domain Overview – Petlibro – Organic Traffic

Fortunately, they’re performing much better in SearchGPT, Google AI Mode, and Perplexity. All three of which use live search to generate their answers. For example, Petlibro’s Share of Voice in Google AI Mode is 27.8%:

Semrush AI SEO – Petlibro – Share of Voice – Google AI Mode

Pro tip: Keep this in mind when analyzing your own brand too. These tools might not have your newest content in their training data. This can affect your apparent visibility, so be sure to check your visibility when search is enabled (as search-powered experiences are becoming more common).


This tab gives you a broad overview of your brand’s visibility. The next step will help you get more granular.

Step 3. Gauge Visibility at the Prompt Level

You can get prompt-level details by heading to the Visibility Overview tab.

Semrush – AI SEO – Petlibro – Visibility Overview

Note: Things are evolving fast in the AI SEO space. This tool is brand new at the time of writing, so there isn’t much in the way of historical data right now. But tracking your visibility here over time will help you understand how well optimized your site is for an increasingly AI-based search landscape.


Scroll down and you’ll be able to quickly understand:

  • Your top-performing topics
  • Opportunities to improve your brand’s visibility
  • Popular sources for prompts relevant to your industry
  • Where your competitors are being cited that you’re not
  • Where you are being cited as a source

Semrush – AI SEO – Petlibro – Topics & Sources

Click on any of the topics (or select Prompts) to see exact prompts and the AI response that you appear as part of.

Semrush – AI SEO – Petlibro – Your Performing Topics – Prompts

To get more data on the prompts your rivals are appearing for that you’re not, head to the Narrative Drivers tab. First, you’ll see your brand’s Share of Voice by platform.

Semrush – AI SEO – Petlibro – Share of Voice by Platform

This gives you an overview of where your rivals are winning on each AI platform. But we want to scroll down to Share of Voice and switch to the Average Position view.

Semrush AI SEO – Petlibro – Average Position – Google AI Mode

You can then toggle each competitor individually to get a better idea of how you perform against key rivals over time.

This view essentially gives you a snapshot of your brand’s visibility for key prompts.

To understand which prompts you are and are not appearing for compared to your rivals, you want to scroll down to the Breakdown by Question section.

You’ll see your position, which is where you show up in the answer snippet compared to your competitors.

Semrush – AI SEO – Petlibro – Breakdown by Question

You can see which ones your rivals appear for that you don’t by using the filters:

Semrush – AI SEO – Petlibro – Breakdown by Question – Filters

For example, Petlibro isn’t appearing for a few prompts that multiple competitors are mentioned in:

Semrush – AI SEO – Petlibro – Breakdown by Question – Not present filter

Identify the most relevant queries you want to start appearing for, and do this for each AI tool (using the toggle at the top left).

Semrush – AI SEO – Toggle at top left

Note these down somewhere, as these will help frame your AI optimization strategy. Think of this part like the keyword research stage in a traditional SEO campaign.

Step 4. Review Your Brand’s Trust Factors

Next, you want to understand where your brand is doing a good job of appearing trustworthy to both your users and the LLMs themselves.

To do this, head back to the Brand Performance tab and scroll down to Key Business Drivers.

This essentially shows where your brand is strong compared to your competitors in various areas that help convey trust to users.

Key Business Drivers by Frequency

It might look overwhelming at first.

But basically:

The numbers illustrate how often key business drivers (i.e., trust factors) appear in answers where your brand is also mentioned. The bigger the number, the better.

(Look for the trophy icon to see where you’re currently ahead of your competitors.)

For example:

Searchers may value smart home integration when selecting a smart pet feeder.

When AI tools mention PetSafe, they also sometimes mention the fact it has these features.

Business Drivers – PetSafe vs. Petlibro

This makes the brand more likely to appear in AI search responses when a user is looking for smart pet feeders with features like smart home integrations.

If Petlibro offers this, the brand needs to do a better job of conveying that in their content, or they’re going to struggle to appear in AI responses for relevant prompts.

Meanwhile, PetSafe is being mentioned for this kind of user prompt:

Semrush – AI SEO – Narrative Drivers – Petlibro

Go through this tab and identify trust factors you want to appear for.

If you spot areas competitors are strong but you’re not being picked up, make sure you:

  • Include trust factors and unique selling points on your website homepage
  • Add mentions of relevant features to product pages
  • Write helpful FAQ questions on product pages and blog posts that cater to these trust factors

Step 5. Audit Brand Sentiment in AI Tools

The next step involves diving deeper into how AI tools (and by proxy your users) perceive your brand.

To do this, we’ll head to the Perception report and scroll to the Key Sentiment Drivers section.

This will show you Brand Strength Factors and Areas for Improvement.

This is a great snapshot to see where you’re already doing well. And where you might need to focus new efforts on improving your brand’s perception in AI responses.

Semrush – AI SEO – Perception – Key Sentiment Drivers

Brand strength factors are essentially areas where the AI tools talk positively about your brand.

In Petlibro’s case, these are factors like app connectivity, mechanical jams, and customer support.

Pro tip: Look for anything that’s not accurate here. You don’t want AI tools to be recommending your brand for things you don’t offer — this will just lead to disappointed customers.


The areas for improvement are areas where you might want to:

  • Create optimized content to make it clear to customers what you offer
  • Optimize your existing product pages to better reflect their strengths
  • Improve your products or services to better meet your customers’ needs

That final point is worth emphasizing. Semrush’s AI SEO tools don’t just give you content ideas.

You can use the insights you gain here and the prompts real users are inputting into AI tools to understand where you can improve and expand your products/services.

The future of marketing is truly collaborative across departments. And these kinds of insights can help align both your SEO/content teams and your product and marketing divisions.

This can lead to a better user experience on your site, a better product for your customers, and increased business growth.

Pro tip: At the bottom of most of these tabs, you’ll also find “AI Strategic Insights.” These are AI-powered suggestions you can use immediately to boost your AI visibility.

Semrush – AI SEO – AI Strategic Opportunities


Step 6. Identify More Content Ideas

Step 6 is to find more ideas for creating new content and optimizing your existing pages.

First, head to the Questions tab and scroll down to the Query Topics section.

Semrush – AI SEO – Query Topics

Answer these questions with new content or in your existing content.

For example, Petlibro could create a blog post titled “How to Stop Your Cat Shaking Food Out of Its Feeder.”

They could also update their product pages to highlight that their feeders support different portion sizes for morning and evening meals, and add an FAQ section answering common branded questions.

To understand what content you might want to create (and which prompts are actually worth optimizing for), enter the relevant ones into tools like ChatGPT. (Make sure you enable web search.)

The example below returns a lot of scientific papers, so it would likely be a tough one for Petlibro to appear for.

But there is a Reddit thread in there too. Which means a Reddit marketing strategy could be worth exploring to boost visibility for these kinds of prompts.

ChatGPT – Reddit thread

This next one is a more likely candidate, and we can see PetSafe (a competitor) gets cited as a source. (And Reddit appears again too.)

ChatGPT – Reddit & PetSafe

There is also a product carousel with links further down — none of which are from Petlibro.

ChatGPT – Product carousel with links

So this would definitely be worth digging into to see why PetSafe (and the other products) are being recommended:

  • Do the product pages do a better job of conveying trust signals?
  • Are they more descriptive?
  • Do they have FAQ sections that answer the prompt’s question?

Bottom line:

You need to look closer than simply the prompts themselves to understand why other brands are being recommended ahead of yours.

But once again, if you scroll to the bottom, you’ll find AI-powered insights that can give you a head start.

Semrush – AI SEO – Petlibro – AI Strategic Opportunities

Turn Your AI SEO Audit Insights Into Action

An AI SEO audit is a vital first step to make your brand AI ready. And Semrush’s AI SEO Toolkit gives you everything you need to get started.

But the audit is just the first step. Use these resources to turn what you learn from the tool into action for your brand:

The post Semrush AI SEO: How to Audit Your AI Search Visibility appeared first on Backlinko.

Read more at Read More

Still not ready for Black Friday 2025? Here is your last minute rescue plan

Heads up! Black Friday is almost here, and if you still haven’t prepared, it’s time to act fast. The clock is ticking, but you can still make meaningful updates that count. This article covers practical and straightforward last minute Black Friday tips to help you make quick, effective changes to your eCommerce store. Even with just a few days left, there’s still room to attract customers and make the most of the biggest shopping event of the year.

Key takeaways

  • Act quickly to implement last minute Black Friday tips for maximizing eCommerce sales
  • Focus on essentials such as clear offers, optimized checkout processes, and engaging email campaigns to boost conversions
  • Leverage social media to build anticipation, share customer stories, and create urgency with time-sensitive posts
  • Consider quick SEO fixes to enhance visibility, like updating meta titles and refreshing content for Black Friday
  • Utilize tools like Yoast SEO for enhanced performance and structured data to ensure your deals stand out in search results

Did you know?

Numbers show that Black Friday 2024 broke all records, as U.S. shoppers spent a staggering $ 10.8 billion online, representing a 10.2 percent increase from 2023. These numbers prove one thing: it is never too late to take action and grab your share of the Black Friday rush.

The must-dos (essentials you can’t miss)

The fastest way to put your Black Friday campaign on pilot mode is by focusing on a few essentials that make an immediate difference. These must-do, last minute Black Friday tips are your quick wins, helping you cover the basics, build momentum, and set up the foundation for a successful marketing campaign.

Make your offers crystal clear

When shoppers land on your website, your Black Friday deals should be impossible to miss. Highlight your best offers right on the homepage or add a static banner so visitors see them immediately. The clearer your offers are, the easier it is for customers to take action.

One of the most innovative ways to increase engagement is by using countdown timers. They build urgency, encourage faster decisions, and make shoppers feel like they’re part of something time-sensitive. The Diamond Store saw this in action when they added a live countdown clock to their 24-hour Black Friday email campaign. The result? A 400% higher conversion rate compared to their previous emails.

Forever 21 shows all the offers clearly on the homepage

For WordPress users, OptinMonster is a quick way to get started. It lets you create dynamic floating bars and banners with countdowns, all through a simple drag-and-drop builder.

If you’re using Shopify, the Essential Countdown Timer Bar app works perfectly for creating announcement bars or cart countdowns to drive urgency and prevent cart abandonment.

Check your checkout

Did you know a long or confusing checkout process is one of the biggest reasons shoppers abandon their carts, especially during high-traffic days like Black Friday? That’s the last thing you want when every second counts.

Before the rush begins, take a few minutes to go through your own checkout process on both desktop and mobile. Place a test order just like a customer would. Verify that your discount codes are applied correctly, your payment options load smoothly, and the overall flow feels quick and effortless.

Read more: Boost your checkout page UX: Vital tips for online stores

Ask a few friends, family members, or even teammates to try it too. Fresh eyes often spot friction points you might miss, such as unclear buttons, confusing forms, or slow-loading pages.

Trust also plays a huge role. Ensure your checkout page displays secure payment badges and recognizable gateways, such as PayPal, Apple Pay, or Stripe. When shoppers feel confident their payment is safe, they’re far more likely to hit “Buy now.”

And one last tip: keep it simple. The fewer distractions and clicks, the smoother the path to purchase. That’s precisely what drives conversions during a last minute Black Friday rush.

Send a simple email to your list

Black Friday emails have been shown to generate 33 percent higher conversion rates than regular marketing messages. That alone makes it one of the smartest last minute Black Friday tips to focus on. When time is short, your existing customer base is your best asset. They already trust your brand and are far more likely to act quickly on your offers.

Keep your email focused and straightforward. Start with a subject line that clearly highlights your best deal or most significant discount. For example, in the screenshot below, you can see how the key offer or discount is prominently displayed in the subject line, while the body reinforces the offer with a clear call to action.

Inside the email, make your main offer impossible to miss. Emphasize the key benefits of your product or service, and include a direct call to action that takes users straight to your Black Friday sale page. Make it visually engaging by adding a countdown timer or a short GIF that brings energy and urgency to the message.

Remember, this isn’t about crafting a perfect campaign. It’s about getting the right message to the right people at the right time. A simple, well-timed email can make a real difference in your Black Friday sales.

Promote on social media channels

Social media continues to play a significant role in Black Friday success. It has seen a 7 percent year-over-year increase in traffic, now driving around 10 percent of all global mobile traffic referrals during the holiday season. Your audience is already scrolling, searching, and shopping, so this is your opportunity to be where they are.

In these last few days, your social media strategy should focus on building anticipation and trust. If you have customer review videos, testimonials, or any user-generated content, start sharing them now. Boosting these posts or running quick ad campaigns featuring real customer stories can help you build credibility fast. People are far more likely to buy when they see genuine experiences from others.

You can also collaborate with a micro-influencer or a brand advocate who already has a connection with your target audience. Even a brief post, story, or reel from them can draw attention to your sale and help you gain visibility.

If you are short on time, focus only on your most active platform, whether that is Instagram, Facebook, TikTok, or LinkedIn. Post your best offer as a pinned post or a story highlight and use countdown stickers or short video snippets to create a sense of urgency.

Lastly, remember to engage. Reply to comments, answer questions, and reshare posts from happy customers. Small interactions can make your brand feel more approachable and help you stand out during the Black Friday rush.

Must read: How to handle comments on your blog

Quick SEO fixes for better Black Friday reach

If you haven’t touched your SEO yet, don’t worry. There’s still time to make a few quick updates that can help your store appear in the search results. These last minute Black Friday SEO tweaks can enhance visibility, attract the right audience, and might give your deals a competitive edge.

Start with your meta titles and meta descriptions. Add words like Black Friday 2025, sale, or deal to your titles so searchers know what to expect. For example, instead of ‘Women’s handbags – Classic collection,’ you can try ‘Black Friday 2025 deals on women’s handbags.’ Keep it relevant, natural, and clear.

Next, check your product and landing pages. Make sure they’re up to date with current pricing, stock status, and offers. Highlight the discounts in your product descriptions, and, if possible, include keywords that shoppers might search for, such as ‘best Black Friday deals’ or ‘holiday gift offers.’

Another smart move is to reuse your existing content. If you already have an older Black Friday or holiday gift guide, simply refresh it for 2025 by updating the year, offers, and internal links. It’s a fast way to keep your content relevant without having to start from scratch.

Lastly, take a minute to review your page experience. A fast, mobile-friendly site can make or break your Black Friday sales. Run a quick check using Google’s PageSpeed Insights and fix anything that’s slowing your pages down. Even minor improvements can help increase conversions.

These quick wins may not replace a comprehensive Black Friday SEO strategy. However, they can still make your website more discoverable and help you capture traffic from shoppers actively seeking deals.

The nice-to-dos (if you have a little more time)

Okay, so the must-dos can help you frame a solid last minute marketing campaign. But if you’ve managed to check those off quickly and still have a little time on your hands, don’t stop there. The following few ideas may seem optional, but they can give your campaign the extra boost it needs to capture more attention, convert hesitant shoppers, and capitalize on the Black Friday rush.

Run simple retargeting ads

Don’t let potential buyers slip away after visiting your store. Retargeting ads help remind them of products they viewed or added to their carts, increasing the chances of conversion. Even a short, time-bound campaign with strong visuals and clear CTAs can make a difference during the Black Friday rush.

Bundle products or create quick gift sets

Shoppers love convenience, especially during the holidays. Bundling complementary products or creating quick gift sets can simplify decision-making and increase your average order value. Highlight these as limited-time deals to develop a sense of urgency and drive faster sales.

Add live chat or quick support options

Many customers abandon their carts when questions go unanswered. Adding a live chat feature helps resolve last minute queries instantly and keeps buyers engaged throughout the checkout process. Tools like Tidio and LiveChat integrate seamlessly with both WordPress and Shopify, making setup quick and easy.

Make your Black Friday deals shine with Yoast SEO for free!

Getting your offers in front of the right people starts with how your website appears and performs in search results. That’s where Yoast SEO can be a real game-changer during the Black Friday rush.

Here’s how:

Write SEO-friendly content

With Yoast SEO, you can create content that both readers and search engines understand. With Yoast SEO’s real-time feedback:

  • Get instant insights on keyword use, density, and placement
  • Optimize your product titles and descriptions to highlight key offers
  • Ensure your content maintains the right balance between keywords and readability

Improve readability

Shoppers move fast during Black Friday. Keep them engaged with content that is easy to read and skim. Yoast helps you:

  • Simplify long sentences and paragraphs
  • Use better transitions for a smoother flow
  • Maintain a consistent tone and structure throughout your content

Help search engines crawl your site efficiently

Visibility depends on how easily search engines can crawl and index your site. With Yoast SEO, you can:

  • Automatically generate XML sitemaps to guide crawlers
  • Use SEO-friendly breadcrumbs to create a clear site structure
  • Ensure your most important Black Friday pages are indexed correctly

Prepare your website for the future of search

AI-powered search is transforming the way people discover brands and deals online. The llms.txt feature in Yoast SEO helps you:

  • Communicate directly with AI systems, such as ChatGPT
  • Control how your content is accessed and cited by large language models
  • Enhance the likelihood of your offers being accurately represented in AI-driven summaries and recommendations

Install Yoast SEO now

Bonus: Automate structured data for rich results

Want your Black Friday products to stand out in search with details like price, stock status, and ratings? That’s where structured data comes in. It helps search engines understand your products better and display them as rich results.

With the Yoast WooCommerce SEO plugin, this process becomes effortless. It automatically adds product-specific structured data to your pages, so your deals are clearer and more clickable in search results. This gives your listings the best chance to shine when shoppers are scanning for quick, trustworthy deals during the Black Friday rush.

Buy WooCommerce SEO now!

Unlock powerful features and much more for your online store with Yoast WooCommerce SEO!

Get Yoast WooCommerce SEO Only $178.80 / year (ex VAT)

Final thoughts: simple moves, big impact

As the countdown begins, remember that success isn’t about doing more but doing what matters most. It’s easy to get caught up in ambitious plans, such as redesigning your website, launching new products, or building influencer partnerships, but those time-intensive ideas rarely deliver quick results when the clock is ticking.

Instead, focus on achievable actions that create immediate impact. Refresh your existing content, refine your offers, and utilize tools like Yoast SEO to optimize your pages efficiently. A few smart tweaks to your product descriptions, meta titles, or site speed can often drive better conversions than a full-scale overhaul.

The key to winning Black Friday isn’t scale, it’s strategy. Work with what you already have, double down on proven tactics, and use every minute wisely. That’s how you turn last minute prep into lasting results.

The post Still not ready for Black Friday 2025? Here is your last minute rescue plan appeared first on Yoast.

Read more at Read More

Google Performance Max adds support for vertical 9:16 image ads

5 ways to get the most from Performance Max in 2025

Google’s Performance Max (PMax) campaigns now support vertical 9:16 image ads, bringing the popular mobile-friendly format to the platform’s most automated campaign type.

What’s new. Google Ads specialist Thomas Eccel spotted the update, noting that vertical “Story Image Ads” – first seen in Demand Gen campaigns earlier this year – are now available in PMax.

Specs at a glance:

  • Minimum size: 600×1067 (recommended: 1080×1920)
  • Maximum file size: 5MB
  • Google hasn’t officially confirmed where these will serve, though in Demand Gen, they appear in YouTube Shorts Image placements.

Why we care. Vertical 9:16 images let PMax campaigns fit naturally into mobile-first environments like YouTube Shorts, where user attention is highest. Experts say this update goes beyond creative specs. As Phil Byrne, founder of Positive Sparks Marketing LTD, noted, it’s about “meeting users where they naturally consume content.”

With Shorts, Reels, and TikTok dominating mobile engagement, vertical formats are key to maintaining attention and relevance.

The bigger picture. Mike Ryan, head of ecommerce insights at Smarter Ecommerce, added that PMax is already monetizing YouTube Shorts through “GMC Image Shorts,” which display multiple product images for remarketing and personalization – a sign that Google is leaning deeper into short-form, shoppable media.

Read more at Read More

Google Discover gets AI summaries; Search gets ‘What’s new’ sports feed

Google introduced two AI-powered features: AI summaries in Discover and a Sports feed in Search.

Google Discover. Users will now see AI-generated previews of trending topics they follow. The summaries cite multiple publishers and can be expanded to view more details and linked articles.

  • The feature is available in the U.S., South Korea, and India, after earlier testing in the U.S. this summer.
  • A Google spokesperson seemed to confirm the Discover AI summaries “officially” launched in the U.S. in July. At that time, the Discover AI summaries appeared on iOS and Android for trending lifestyle topics (e.g., sports, entertainment). TechCrunch reported this, but there was no official announcement from Google.

What’s new. In Search, a new What’s new button will soon appear when users look up teams or players on mobile.

  • This feature opens a feed of trending updates and articles about the topic.
  • This is rolling out in the U.S. over the coming weeks.

Why we care. Discover has been a reliable traffic source for many publishers. Google says the new tools help people explore more of the web, not less, but publishers should watch whether this shift to AI-generated summaries reduces the need for users to click through to read stories. This could result in a similar negative impact on traffic as AI Overviews have had for many websites in Google Search.

Dig deeper. Google traffic to news publishers is steady, but it isn’t traditional Search

Google’s announcement. New AI-powered features help you connect with web content in Search and Discover.

Read more at Read More

Tracking AI search citations: Who’s winning across 11 industries

AI search citations concept

Citations in AI search assistants reveal how authority is evolving online.

Analyzing results across 11 major sectors shows which domains are most often referenced and what that says about credibility in an AI-driven landscape.

As assistants condense answers and surface fewer links, being cited has become a powerful signal of trust and influence.

Based on Semrush data from more than 800 websites, the findings highlight how AI reshapes visibility across industries.

AI citation trends across industries

The analysis surfaced several clear patterns in how authority is distributed across industries.

Universal authorities

Some domains appeared in the top 50 cited URLs across nearly all 11 sectors, with four domains appearing in every one:

  • reddit.com (~66,000 AI mentions across 11 sectors)
  • en.wikipedia.org (~25,000, 11 sectors)
  • youtube.com (~19,000, 11 sectors)
  • forbes.com (~10,000, 11 sectors)
  • linkedin.com (~9,000, 10 sectors)
  • quora.com (~8,000, 10 sectors)

Other domains are sector-strong but globally influential: 

  • amazon.com (ecommerce and five other sectors).
  • nerdwallet.com (finance-focused).
  • pmc.ncbi.nlm.nih.gov (health and academic citations).

Concentration and diversity by sector

Citation concentration varies by sector.

  • Most concentrated: Computers and electronics, entertainment, education.
  • Most diverse: Telecom, food and beverage, healthcare, finance, travel and tourism.

This means some sectors rely on a handful of go-to sources, while others distribute authority across a broader field.

Relationships between visibility and SEO metrics

AI visibility and AI mentions are strongly correlated (0.87).

Organic keywords correlate more strongly with AI visibility (0.41) than backlinks (0.37).

Keywords and backlinks themselves correlate at 0.79.

By sector, the coupling between AI visibility and backlinks is strongest in computers and electronics, automotive, entertainment, finance, and education. 

In these sectors, the scale of authority clearly helps drive AI references.

Sector breakdowns

Finance

Media brands such as Forbes and Business Insider dominate citations, reflecting the importance of timely commentary and market analysis. 

However, NerdWallet shows that specialized finance experts can achieve high AI visibility by building deep evergreen guides and comparison content. 

This sector also shows one of the strongest correlations between AI visibility and backlink scale, suggesting that authority signals remain highly influential.

Healthcare

Academic and government domains are heavily cited. 

The dominance of PubMed Central (PMC), CDC, and national health portals underlines the central role of trusted peer-reviewed or official information. 

Wikipedia also appears consistently, often serving as a layperson-friendly entry point. 

Diversity is lower here compared with consumer-facing sectors, reflecting the need for evidence-based references.

Travel and tourism

Citations are spread across government advisories (for example, gov.uk travel advice), booking platforms, forums, and user-generated communities. 

This diversity reflects the mix of practical (visa, safety), inspirational (guides, blogs), and transactional (booking) content users need.

The sector’s Herfindahl-Hirschman Index (HHI) score is low, suggesting no single authority dominates, and visibility is earned by serving very specific user needs.

Entertainment

User-generated platforms dominate. 

Reddit, YouTube, and Quora all appear near the top of cited domains, alongside reference sources such as Wikipedia and IMDb. 

This highlights how conversational, community-driven content is central to how AI assistants explain and contextualize entertainment. 

In this space, backlink counts are less predictive than breadth of coverage.

Education

Citations concentrate around reference authorities including Wikipedia, university portals, and open-courseware providers. 

Specialist learning platforms and forums also feature, but the dominance of well-known academic sources creates a more concentrated citation environment. 

Here, AI assistants lean heavily on authoritative, structured content.

Computers and electronics

Technology news and review sites dominate, with CNET, The Verge, and Tom’s Guide appearing prominently. 

Wikipedia is again present, but the sector is notable for its concentration, with citations clustering around a few highly recognizable review hubs. 

This sector also shows one of the highest correlations between AI visibility and backlink scale, underlining the competitive role of authority signals.

Automotive

A mix of consumer guides (for example, Autotrader, AutoZone) and publisher content. 

Insurance and financing providers also receive citations, reflecting user queries that span from buying cars to managing ownership. 

Citations are somewhat more evenly distributed, but AI assistants lean on a balance of transactional and informational sources.

Beauty and cosmetics

Influencer-led platforms and community discussion spaces are frequently cited alongside brand websites and review hubs. 

The combination of user-generated content and brand authority makes this sector more diverse than average. 

Here, social-driven citations compete with established publishing brands.

Food and beverage

Recipe hubs, nutrition authorities, and community cooking sites dominate. 

Wikipedia also features, especially for ingredient-level explanations. 

The sector has one of the lowest HHI values, meaning a wide diversity of domains are being cited. 

Backlink totals are less correlated with visibility here. Instead, topical coverage breadth seems to matter more.

Telecoms

Citations are relatively diverse, ranging from provider help portals to tech media and consumer advocacy sites. 

Forums like Reddit often feature in troubleshooting contexts. 

The sector’s low HHI suggests no single authority dominates, but users’ practical questions drive AI systems to reference customer-support-style material.

Real estate

Cited domains include large listing platforms (for example, Zillow-type sites), financial services tied to mortgages, and government portals for regulation and housing data. 

While concentrated, the sector also pulls from news sources when market conditions are being explained.

Get the newsletter search marketers rely on.


Implications for brands and SEOs

The patterns in AI citations carry direct lessons for brands and SEOs, highlighting:

  • How authority is built.
  • What types of assets AI prefers to reference.
  • Why traditional SEO levers now interact differently with visibility.

Reference assets matter

Evergreen guides, standards, and explainers attract citations from both search engines and AI models. 

To compete with Wikipedia or government sites, brands need to publish authoritative, fact-checked material that others can comfortably reference.

Breadth of coverage drives visibility

Domains with a wide organic keyword footprint consistently show stronger AI visibility. 

This means that covering an entire topic area comprehensively – not just optimizing for a handful of high-volume keywords – positions a brand as a reliable reference source.

Sector rules differ

Each sector rewards different authority signals. In healthcare, peer-reviewed or government-backed resources dominate. 

In entertainment, community-driven and UGC platforms rise to the top. In finance, explainers and calculators from expert brands are frequently cited. 

Brands need to adapt their content strategy to the trust model of their sector.

Fewer links, higher stakes

AI assistants often cite only a handful of sources per response. 

Being included delivers disproportionate visibility. 

Conversely, being absent means competitors capture nearly all of the exposure. 

This concentration raises the bar for what counts as a reference-worthy asset.

Backlinks still matter, but less directly

While backlink scale correlates with AI visibility, the correlation is weaker than for organic keyword breadth. 

This suggests backlinks remain an authority signal, but the breadth and relevance of content may be more critical in an AI-driven environment.

User intent alignment

AI assistants pull from sources that best align with the specific intent behind a query. 

Brands that anticipate user needs – whether transactional, informational, or troubleshooting – stand a better chance of being cited.

Creating layered content (guides, FAQs, tools) that matches different intents strengthens visibility.

Becoming a referenced brand

Citations in AI search results reveal the trust networks that underpin the next wave of search. 

Wikipedia, Reddit, and YouTube are universal reference points, but sector-specific authorities also matter.

For brands, the lesson is clear: to win visibility in AI-driven search, you need to be the page that others cite. 

That means authoritative content, breadth of coverage, and assets designed to be referenced.

Analysis methodology

The analysis drew from AI citation data spanning 11 sectors and more than 800 domains, using responses from Google AI Mode, Perplexity, and ChatGPT search.

Two primary metrics were calculated:

  • AI visibility score: The average share of responses in which a domain was cited across Google AI Mode, Perplexity, and ChatGPT search.
  • AI mentions: The total number of times a domain was cited across those engines in a given sector.

These metrics were then enriched with:

  • Organic keywords (Semrush): The number of keywords for which a domain ranks in organic search.
  • Backlinks (Semrush): The total backlinks pointing to a domain.

Spearman correlation

To measure the degree of correlation between metrics, I used the Spearman correlation coefficient. 

Unlike Pearson correlation, which assumes linear relationships, Spearman looks at whether the ranking of one metric moves in step with another. 

Spearman correlation

In simple terms, if domains with higher keyword counts also tend to rank higher for AI visibility, the Spearman value will be high even if the relationship is not a perfectly straight line. 

A value near +1 means the two rise together consistently, near -1 means one rises as the other falls, and near 0 means no clear pattern.

Concentration of the HHI

I then measured citation concentration using the Herfindahl-Hirschman Index, a metric borrowed from economics. 

It is calculated by summing the squares of market shares, in this case, each domain’s share of AI mentions in a sector. 

An HHI closer to 1 means a sector is dominated by just a few domains, while values closer to 0 indicate citations are spread more evenly. 

For example, an HHI of 0.05 suggests a concentrated landscape, whereas 0.02 points to greater diversity.

By combining AI visibility, citation counts, SEO scale (keywords and backlinks from Semrush), Spearman correlations, and HHI concentration, I built a cross-sector picture of who holds authority in AI-driven search.

Read more at Read More

How to know if your GEO is working

How to know if your GEO is working

Let’s get one thing straight before the industry turns “GEO” into yet another three-letter source of confusion.

Generative engine optimization isn’t SEO with a new hat and a LinkedIn carousel. It’s a fundamentally different game.

If you’re still debating whether to swap the “S” for a “G,” you’ve already missed the point.

At its core, GEO is brand marketing expressed through generative interfaces.

Treat it like a technical tweak, and you’ll get technical-tweak results: plenty of noise, very little growth.

CMOs, this is where you step in.

SEOs, this is where you either evolve or get automated into irrelevance.

The question isn’t what GEO is – that’s been done to death.

It’s how to tell if your GEO is actually working.

The North Star: Share of search (not ‘share of voice,’ not ‘topical authority’)

The primary metric for GEO is the same one that should already anchor any brand-led growth program: share of search.

Les Binet didn’t coin a vanity metric for dashboards. 

Share of search is a leading indicator of future market share because it reflects relative demand – your brand versus competitors.

If your share is rising, someone else’s is falling, and the future tilts your way. 

If it’s declining, you’re mortgaging tomorrow’s revenue. That’s the unglamorous magic of it.

It isn’t perfect. But across category after category, share of search predicts brand outcomes with a level of accuracy that should make “awards case studies” blush.

And yes, GEO affects it, often through PR. 

When an LLM recommends your brand (linked or not), some users still open a new tab and Google you. 

Recommendation sparks curiosity. Curiosity drives search. Search is the signal.

Expect branded search volume to rise as generative usage grows, because people back-check what they see in AI results. 

It’s messy human behavior, but it’s consistent.

Your first diagnostic: plot your brand’s share of search against your closest competitors. 

Use Google Trends or My Telescope for branded demand, and triangulate with Semrush. 

Watch the trend, not the weekly wobbles.

And do not confuse share of search with share of voice. 

Different metric. Different lineage. Different purpose.

Dig deeper: From search to answer engines: How to optimize for the next era of discovery

The two halves of the signal: Brand demand and buyer intent

Share of search has two practical layers for GEO diagnostics:

  • Brand search: The purest signal of salience. Are more people looking for you than last quarter, relative to the category? That’s how you know your brand availability is increasing inside generative engines and the culture around them.
  • Buyer-intent traffic: The money end. Of your non-branded search clicks, how much is clearly commercial or buyer-intent versus informational fluff? And how does your share of that buyer-intent traffic compare to competitors?

You won’t know a rival’s exact click-through rates – and you don’t need to.

Use Semrush to estimate non-branded commercial demand at the topic level for you and them, then compare proportions. 

Cross-reference with your own Google Search Console (GSC) data. 

Export everything and segment aggressively by intent. 

Where tool estimates diverge from your actuals, you’ll learn something about the noise in third-party data and the real shape of your market.

If your brand search is flat but buyer-intent share is rising, congratulations – you’re harvesting demand but not creating enough of it.

If brand search is rising but buyer-intent share isn’t, you have a conversion or content problem – your GEO is sparking curiosity, but your site and assets aren’t turning that into qualified traffic.

If both are up, pour fuel.

If both are down, stop fiddling with prompts and fix your positioning, advertising, and PR.

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

Competitors are winning in AI answers. Take back share of voice.

Benchmark your presence across LLMs, spot gaps, and get prioritized actions.

Compare share of voice and sentiment in seconds.

Category entry points: The prompts behind the prompts

GEO lives or dies on category entry points (CEPs) – Ehrenberg-Bass’ useful term for the situations, needs, and triggers that put buyers into the category.

CEPs are how real people think.

“I just left the gym and I’m thirsty.” That’s why there’s a Coke fridge by the exit.

“I’ve just come out of a show near Covent Garden and need food now.” That’s why certain restaurants cluster and advertise there.

These are not keywords. They’re human contexts that later materialize as words.

Translating that to GEO: your customers’ prompts in ChatGPT, Gemini, Perplexity, and AI Mode reflect their CEPs.

Newly appointed marketing manager under pressure to fix organic? That’s a CEP.

Fed up with a current tool because the price doubled and support disappeared? Another CEP.

Map the CEPs first, then outline the prompt families that those CEPs produce. 

The wording will vary, but the thematic spine stays consistent: a role, a pain, a job to be done, a timeframe.

Once you’ve mapped CEPs to prompt families, you can evaluate your prompt visibility – how often and in what context generative engines surface you as a credible option.

This is a brand job as much as a content job. 

LLMs don’t “decide” like humans. They triangulate across signals and citations to reduce uncertainty. 

Distinctive brand assets, third-party coverage (PR), credible reviews, and consistent evidence of capability all raise your odds of being recommended.

Notice I didn’t say “more blog posts.” We’ll come back to that.

Get the newsletter search marketers rely on.


Measure prompt visibility, then validate in GSC

Once you’ve outlined your prompt families, test visibility systematically.

Run qualitative checks in the major models. Log the sources they cite and the types of evidence they appear to weight.

Are you visible when the CEP is “newly promoted CMO, six-month plan to grow organic pipeline”?

Are you visible when it’s “VP of ecommerce losing non-brand traffic to marketplace competitors, needs an alternative”?

If you’re absent, don’t complain about model bias – earn your spot with PR, credible case studies, and assets that reinforce what the engines are trying to prove about you.

Next, switch to the quantitative side. 

In GSC, build regex filters for conversational queries – the long, natural-language strings (4 to 10 words, often more) that resemble prompts with the serial numbers filed off.

We don’t yet know how much of this traffic comes from bots, LLM scaffolding, or humans typing into AI-powered SERPs, but we do know it’s there.

Track impressions, clicks, and the proportion that are clearly buyer-intent versus informational. 

If your conversational query clicks are growing and skewing commercial, that’s a strong signal your GEO is turning curiosity into consideration.

The two-second rule: Why informational content won’t save you

Here’s a hard truth for the SEO content mills: informational traffic is about to become even less valuable.

Most AI citations offer only fleeting exposure. 

Brand recall takes more than a glance – in both lab and field data, you get roughly two seconds of attention to make anything stick. 

Most sidebar mentions and AI Overview snippets don’t deliver that, and the memory fades fast anyway.

If your GSC export shows that 70% or more of your clicks come from “how-to” mush with no buyer intent, your GEO isn’t working. 

It’s subsidizing the LLMs that will summarize you out of existence.

Fix the mix – shift your asset portfolio toward category entry points that actually precede purchase.

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

A simple GEO scoreboard for grown-ups

Here’s your weekly CMO/SEO standup. Four lines, no fluff.

1. Share of search (brand) 

Your brand’s share versus your top three competitors, trended over 13 weeks. 

Up is good. Flat is a warning. Down means it’s time to get comms and PR moving.

2. Share of buyer-intent traffic

Your estimated share of non-brand commercial clicks versus competitors (from tool triangulation), plus your actual buyer-intent clicks from GSC. 

The gap between the two is your reality check.

3. Prompt visibility index

For each priority CEP, how often are you recommended by major models, and with what supporting evidence? 

  • Track monthly. 
  • Celebrate gains. 
  • Fix absences with PR and proof.

4. Conversational query conversion

Impressions and clicks on 4–10+ word natural-language queries, segmented by intent. 

Are the commercial ones rising as a share of total? If not, your GEO is a content cost center, not a growth driver.

How to read the scoreboard

  • If those four lines are improving together, your GEO is working.
  • If only one is improving, you’re playing tactics without strategy.
  • If none are improving, stop thinking you can “Wikipedia” your way to growth with topical-authority fluff.

The levers that actually move GEO

What moves the dial? Not more “SEO content.” GEO responds to the levers of brand availability:

  • PR that builds credible third-party evidence: Reviews, analyst notes, earned features, and founder or expert commentary with substance. LLMs love corroboration.
  • Distinctive assets used consistently: Names, taglines, proof points, tone. Engines triangulate. Recognizable signals reduce ambiguity.
  • Customer-centered case studies: Framed around CEPs, not your product roadmap. “Marketing manager replaces X to cut acquisition costs in 90 days” beats “New feature launch.”
  • Tighter copy: Precise, functional language matched to CEPs and prompt families. Kill the poetry.
  • Experience signals: Your site must resolve buyer intent fast. The conversation from AI should land on pages that continue – not restart – the dialogue.

Content still matters, but only as support for these levers.

Most of your old blog inventory was never going to build memory or distinctiveness, and in an AI-summarized world, it certainly won’t. 

Scrap the vanity spreadsheets. Build assets that make both engines and humans more certain you’re the right choice in buying situations.

Yes, content marketing is back in a big way – but that’s another article.

GEO isn’t just SEO

When AI modes become the default interaction layer, and they will – whether through chat, answers, or blended SERPs – the game rewards brands that are easy for machines to recommend in buying moments. 

That is GEO’s beating heart: increasing AI availability. 

Think of it like free paid search. 

If you’re still obsessing over informational traffic and topical hamster wheels, you’ll be caught with the lights on and no clothes. Some of you already are.

SEOs who make the leap become organic-search strategists. 

You’ll speak CEPs, buyer intent, and brand effects. 

You’ll partner with PR, product marketing, and sales enablement. 

You’ll still use the tools – Semrush and GSC – but you’ll use them to evidence strategy, not to justify content churn.

The rest of you? You’ll be replaced by an agentic workflow that writes better filler faster than you ever could.

The humbling truth about GEO

Marketing rewards humility. 

You are not the consumer, and you are certainly not the model. 

Stop guessing. Measure the four lines. 

  • Map the category entry points. 
  • Build the assets that make you easy to recommend. 
  • Cross-reference tool estimates with your own data and let the differences teach you. 

GEO isn’t mystical – it’s brand marketing meeting machine mediation.

So, how do you know if your GEO is working?

  • Your share of search rises.
  • Your share of buyer-intent traffic rises.
  • Your prompt visibility expands across the CEPs that actually precede purchase.
  • Your conversational queries convert at a higher rate.

Everything else is noise. 

Ignore the noise, fix the fundamentals, and remember the only mantra that matters in this brave, generative world:

  • Be recommended by AI, when it matters and not when it doesn’t.

Dig deeper: SEO in the age of AI: Becoming the trusted answer

Read more at Read More

Google to expand ads in AI Overviews to more markets

6 steps to improve your Google Ads campaigns

Google will roll out ads within AI Overviews beyond the U.S. to select English-speaking markets by the end of 2025, the company confirmed during its Google Access event last week.

Why we care. As AI-generated answers become a central part of Search, this expansion could reshape how advertisers reach users – with ads appearing directly alongside AI summaries rather than traditional text results.

Catch up. Ads in AI Overviews were first unveiled at Google Marketing Live 2025, allowing brands to appear within generative responses when users ask complex, multi-part queries.

What’s next. Google’s gradual rollout will give advertisers and users time to adapt to new ad placements and formats – and could provide early insights into how generative AI changes ad visibility, performance, and measurement across Search.

Bottom line. For advertisers, AI Overviews represent both an opportunity and a challenge – blending paid placements into AI-generated answers could drive richer engagement but may also require rethinking how to optimize for discovery and intent in a more conversational search environment.

First seen. This update was shared on LinkedIn by CEO of Profitmetrics.io Frederik Boysen, after hearing it announced Google Access meeting he attended last week.

Read more at Read More

5 ways to drive action with your PPC report

PPC reports that drive action

Are you spending hours on client reporting every month, only for your stakeholders to skim it, dismiss the numbers, or ignore your recommendations?

When reports don’t drive action, you lose more than time. Budget approvals, strategic influence, and client trust are all compromised.

Here are five ways to make sure your PPC report doesn’t just get read, but actually moves your audience to take action.

1. Start with your audience, not the data

When building a report, it’s easy to get lost in the data – dozens of metrics, multiple platforms, endless ways to slice performance.

The instinct is to ask, “What data can I show?” 

But that approach creates reports that highlight numbers instead of driving decisions.

A better question is, “Who needs this, and what will they do with it?”

What does your reader need to understand or act on? 

To borrow from the Jobs-to-Be-Done framework – what is this report being “hired” to do?

  • What decisions are your stakeholders responsible for making?
  • What questions do they expect answered?
  • Which goals and KPIs do they need to monitor?
Identify and interview your audience

Once you understand the job your report is meant to do, you can reverse-engineer what belongs in it.

For example:

  • A CMO focused on connecting ad spend to revenue and competitive position will want to see ROAS, market share, and year-over-year growth.
  • An ecommerce manager focused on product mix will care more about category performance, inventory, and seasonal trends.

Off-the-shelf templates and automated reports can’t answer those questions for you – only direct conversations with stakeholders can. 

You don’t need to wait for a new client kickoff to do this. 

Check in with your current stakeholders to confirm your reports still reflect what matters most to them.

2. Establish the source of truth

If you manage platforms like Google Ads and Microsoft Ads, you’re likely reporting on engine numbers.

But engine numbers aren’t always the “source of truth.” 

Sometimes they’re only directionally accurate. Other times, they barely correlate with actual performance.

Here’s the risk when you don’t define that source upfront: you build and present a solid report, only to have it derailed by, “I don’t think these numbers are right.” 

A client questions whether Google Ads is inflating conversions, or a CFO insists revenue must come from the CRM. 

Suddenly, the discussion shifts from strategy to data defense.

Google Ads data doesn't match CRM data

When stakeholders don’t trust the numbers, your report loses its power. You can’t drive action on data that no one believes.

So before building a report, clarify the source of truth. 

A quick litmus test: if you said, “We generated $1 million in PPC revenue yesterday,” what system would leadership check to verify it? 

Whatever they name is your source of truth.

You may never reconcile every dataset perfectly, but alignment matters most. 

Pull numbers from that trusted system where possible, call out known gaps – like offline conversions lagging in Google Ads or modeled data in GA4 – and always identify data sources clearly. 

When your reporting reflects the system leadership trusts, you avoid endless debates about accuracy and keep the focus on decisions that move the business forward.

Dig deeper: How to deliver monthly PPC reports clients love

3. Build invisible CTAs into every section

A strong landing page drives action with a clear call to action

Without one, visitors don’t know what to do next – and conversions drop. 

Reports work the same way, only without a button to click.

That’s why I developed a framework I call “invisible CTAs.” 

An invisible CTA is the intended outcome for each section of your report – the “conversion” you want your audience to experience. 

It doesn’t appear in the report itself, but it guides how you build every chart, annotation, and insight.

Invisible CTAs examples

There are three types of invisible CTAs:

  • Do: The next step they should take based on the data – fix a landing page, approve budget reallocation, or adjust strategy to defend against a competitor.
  • Know: What happened and why, even when there’s no immediate action – a holiday promo drove a 15% spike that won’t sustain, Apple’s privacy updates reduced match rates, or a tracking glitch underreported conversions.
  • Feel: The emotional response that drives urgency or confidence – concern that a competitor is outspending you, encouragement that a new strategy is working, or worry that rankings are slipping.

Don’t shy away from negative emotions. 

When we hide problems to keep reports “positive,” stakeholders won’t commit the resources needed to fix them. 

Think of it this way: which battery icon motivates you to get off the couch and grab your charger? 

Not the full one.

Battery icon illustration

Before building any section, ask: 

  • What’s the one takeaway I want my audience to leave with? 

Then design everything – your charts, metrics, headlines, and comparisons – around that invisible CTA. 

When each section has a clear intent, your audience knows exactly what to do next, even without clicking a button.

Get the newsletter search marketers rely on.


4. Apply conversion principles to design and layout

Most PPC reports are still designed like data dumps, not decision tools.

Charts are crammed together, walls of numbers lack focus, and abbreviations or shorthand leave readers guessing.

Your audience shouldn’t have to work to understand what the data means. 

As Steve Krug explains in “Don’t Make Me Think,” good design removes friction and makes meaning obvious. 

The same principle applies to reporting.

Your reports should follow the same conversion optimization principles you’d use on a landing page: 

  • Hierarchy: Prioritize the key story. Bold the outcome. Move secondary data to callouts or appendices.
  • White space: Clutter kills comprehension. Give major insights room to breathe in their own sections or pages.
  • Contrast: Use color, weight, and position to highlight wins and risks.
  • Annotations: Mark charts with context (seasonality, tracking glitches, site changes). 

Look at how these conversion principles transform the very basic “Account Performance” chart into completely different data stories:

Conversion principles applied to design and layout

Every design choice should reduce friction, clarify meaning, and guide your audience toward the right conclusion.

5. Show results in context, not isolation

We often hope the numbers will speak for themselves – but they don’t.

“We drove $17,000 in revenue” means little unless your audience knows whether that’s above goal, below forecast, or right on target.

Without context, stakeholders don’t know how to react. 

They can’t celebrate a win if they don’t know it’s a win, and they won’t prioritize fixes if they don’t see the urgency.

Every metric in your PPC report needs a frame:

  • Benchmarks: Was performance above or below target?
  • Comparisons: How does it trend versus last month, last year, or competitors?
  • Explanations: What caused the change – seasonality, tracking issues, or market shifts?

For example, “$17,000 in revenue” becomes meaningful when you add context:

  • $17,000 is 35% above the goal of $12,600.
  • $17,000 is 11% higher than last October’s $15,300.
  • $17,000 represents nearly 25% of all-channel revenue ($70,000).

The more comparisons, percentages, and explanations you layer in, the easier it is for your audience to understand what’s really happening. 

Combine that context with conversion principles and invisible CTAs to create reporting that’s clear, credible, and built for action.

Show results in context, not isolation

Dig deeper: How to benchmark PPC competitors: The definitive guide

From data dump to decision driver

The purpose of PPC reporting is simple – to help your audience understand what happened and what to do next. 

If your reports don’t accomplish that, you’re not just wasting time. You’re leaving your readers without the clarity they need to act.

When you design reports around your audience’s needs, anchor them to a trusted source of truth, build invisible CTAs, apply conversion principles, and show results in context, you turn reporting into a decision-making tool.

Follow these steps, and your PPC report will stop being a monthly time-sink and start becoming a high-value asset that earns trust, drives action, and strengthens retention.

Read more at Read More