Aug 29 2025
Why WooCommerce Slows Down (& How to Fix It With the Right Server Stack)

This post was sponsored by Cloudways. The opinions expressed in this article are the sponsor’s own.

Wondering why your rankings may be declining?

Just discovered your WooCommerce site has slow load times?

A slow WooCommerce site doesn’t just cost you conversions. It affects search visibility, backend performance, and customer trust.

Whether you’re a developer running your own stack or an agency managing dozens of client stores, understanding how WooCommerce performance scales under load is now considered table stakes.

Today, many WordPress sites are far more dynamic, meaning many things are happening at the same time:

  • Stores run real-time sales.
  • LMS platforms track user progress.
  • Membership sites deliver highly personalized content.

Every action a user takes, from logging in, updating a cart, or initiating checkout, relies on live data from the server. These requests cannot be cached.

Tools like Varnish or CDNs can help with public pages such as the homepage or product listings. But once someone logs in to their account or interacts with their session, caching no longer helps. Each request must be processed in real time.

This article breaks down why that happens and what kind of server setup is helping stores stay fast, stable, and ready to grow.

Why Do WooCommerce Stores Slow Down?

WooCommerce often performs well on the surface. But as traffic grows and users start interacting with the site, speed issues begin to show. These are the most common reasons why stores slow down under pressure:

1. PHP: It Struggles With High User Activity

WooCommerce depends on PHP to process dynamic actions such as cart updates, coupon logic, and checkout steps. Traditional stacks using Apache for PHP handling are slower and less efficient.

Modern environments use PHP-FPM, which improves execution speed and handles more users at once without delays.

2. A Full Database: It Becomes A Bottleneck

Order creation, cart activity, and user actions generate a high number of database writes. During busy times like flash sales, new merchandise arrivals, or course launches, the database struggles to keep up.

Platforms that support optimized query execution and better indexing handle these spikes more smoothly.

3. Caching Issues: Object Caching Is Missing Or Poorly Configured

Without proper object caching, WooCommerce queries the database repeatedly for the same information. That includes product data, imagery, cart contents, and user sessions.

Solutions that include built-in Redis support help move this data to memory, reducing server load and improving site speed.

4. Concurrency Limits Affect Performance During Spikes

Most hosting stacks today, including Apache-based ones, perform well for a wide range of WordPress and WooCommerce sites. They handle typical traffic reliably and have powered many successful stores.

As traffic increases and more users log in and interact with the site at the same time, the load on the server begins to grow. Architecture starts to play a bigger role at that point.

Stacks built on NGINX with event-driven processing can manage higher concurrency more efficiently, especially during unanticipated traffic spikes.

Rather than replacing what already works, this approach extends the performance ceiling for stores that are becoming more dynamic and need consistent responsiveness under heavier load.

5. Your WordPress Admin Slows Down During Sales Seasons

During busy periods like seasonal sales campaigns or new stock availability, stores can often slow down for the team managing the site, too. The WordPress dashboard takes longer to load, which means publishing products, managing orders, or editing pages also becomes slower.

This slowdown happens because both shoppers and staff are using the site’s resources at the same time, and the server has to handle all those requests at once.

Modern stacks reduce this friction by balancing frontend and backend resources more effectively.

How To Architect A Scalable WordPress Setup For Dynamic Workloads?

WooCommerce stores today are built for more than stable traffic. Customers are logging in, updating their carts, taking actions to manage their subscription profile, and as a result, are interacting with your backend in real time.

The traditional WordPress setup, which is primarily designed for static content, cannot handle that kind of demand.

Here’s how a typical setup compares to one built for performance and scale:

Component Basic Setup         Scalable Setup
Web Server Apache NGINX
PHP Handler mod_php or CGI PHP-FPM
Object Caching None or database transients Redis with Object Cache Pro
Scheduled Tasks WP-Cron System cron job
Caching CDN or full-page caching only Layered caching, including object cache
.htaccess Handling Built-in with Apache Manual rewrite rules in NGINX config
Concurrency Handling Limited Event-based, memory-efficient server

How To Manually Setup A Performance-Ready & Scalable WooCommerce Stack

Don’t have bandwidth? Try the easy way.

If you’re setting up your own server or tuning an existing one, are the most important components to get right:

1) Use NGINX For Static File Performance

NGINX is often used as a high-performance web server for handling static files and managing concurrent requests efficiently. It is well suited for stores expecting high traffic or looking to fine-tune their infrastructure for speed.

Unlike Apache, NGINX does not use .htaccess files. Rewrite rules, such as permalinks, redirects, and trailing slashes, need to be added manually to the server block. For WordPress, these rules are well-documented and only need to be set once during setup.

This approach gives more control at the server level and can be helpful for teams building out their own environment or optimizing for scale.

2) Enable PHP-FPM For Faster Request Handling

PHP-FPM separates PHP processing from the web server. It gives you more control over memory and CPU usage. Tune values like pm.max_children and pm.max_requests based on your server size to prevent overload during high activity.

3) Install Redis With Object Cache Pro

Redis allows WooCommerce to store frequently used data in memory. This includes cart contents, user sessions, and product metadata.

Pair this with Object Cache Pro to compress cache objects, reduce database load, and improve site responsiveness under load.

4) Replace WP-Cron With A System-Level Cron Job

By default, WordPress checks for scheduled tasks whenever someone visits your site. That includes sending emails, clearing inventory, and syncing data. If you have steady traffic, it works. If not, things get delayed.

You can avoid that by turning off WP-Cron. Just add define(‘DISABLE_WP_CRON’, true); to your wp-config.php file. Then, set up a real cron job at the server level to run wp-cron.php every minute. This keeps those tasks running on time without depending on visitors.

5) Add Rewrite Rules Manually For NGINX

NGINX doesn’t use .htaccess. That means you’ll need to define URL rules directly in the server block.

This includes things like permalinks, redirects, and static file handling. It’s a one-time setup, and most of the rules you need are already available from trusted WordPress documentation. Once you add them, everything works just like it would on Apache.

A Few Tradeoffs To Keep In Mind

This kind of setup brings a real speed boost. But there are some technical changes to keep in mind.

  • NGINX won’t read .htaccess. All rewrites and redirects need to be added manually.
  • WordPress Multisite may need extra tweaks, especially if you’re using subdirectory mode.
  • Security settings like IP bans or rate limits should be handled at the server level, not through plugins.

Most developers won’t find these issues difficult to work with. But if you’re using a modern platform, much of it is already taken care of.

You don’t need overly complex infrastructure to make WooCommerce fast; just a stack that aligns with how modern, dynamic stores operate today.

Next, we’ll look at how that kind of stack performs under traffic, with benchmarks that show what actually changes when the server is built for dynamic sites.

What Happens When You Switch To An Optimized Stack?

Not all performance challenges come from code or plugins. As stores grow and user interactions increase, the type of workload becomes more important, especially when handling live sessions from logged-in users.

To better understand how different environments respond to this kind of activity, Koddr.io ran an independent benchmark comparing two common production setups:

  • A hybrid stack using Apache and NGINX.
  • A stack built on NGINX with PHP-FPM, Redis, and object caching.

Both setups were fully optimized and included tuned components like PHP-FPM and Redis. The purpose of the benchmark was to observe how each performs under specific, real-world conditions.

The tests focused on uncached activity from WooCommerce and LearnDash, where logged-in users trigger dynamic server responses.

In these scenarios, the optimized stack showed higher throughput and consistency during peak loads. This highlights the value of having infrastructure tailored for dynamic, high-concurrency traffic, depending on the use case.

WooCommerce Runs Faster Under Load

One test simulated 80 users checking out at the same time. The difference was clear:

Scenario Hybrid Stack Optimized Stack Gain
WooCommerce Checkout 3,035 actions 4,809 actions +58%
Screenshot from Koddr.io, August 2025

LMS Platforms Benefit Even More

For LearnDash course browsing—a write-heavy and uncached task, the optimized stack completed 85% more requests:

Scenario Hybrid Stack Optimized Stack Gain
LearnDash Course List View 13,459 actions 25,031 actions +85%

This shows how optimized stacks handle personalized or dynamic content more efficiently. These types of requests can’t be cached, so the server’s raw efficiency becomes critical.

Screenshot from Koddr.io, August 2025

Backend Speed Improves, Too

The optimized stack wasn’t just faster for customers. It also made the WordPress admin area more responsive:

  • WordPress login times improved by up to 31%.
  • Publish actions ran 20% faster, even with high traffic.

This means your team can concurrently manage products, update pages, and respond to sales in real time, without delays or timeouts.

It Handles More Without Relying On Caching

When Koddr turned off Varnish, the hybrid stack experienced a 71% drop in performance. This shows how effectively it handles cached traffic. The optimized stack dropped just 7%, which highlights its ability to maintain speed even during uncached, logged-in sessions.

Both setups have their strengths, but for stores with real-time user activity, reducing reliance on caching can make a measurable difference.

Stack Type With Caching Without Caching Drop
Hybrid Stack 654,000 actions 184,000 actions -7%
Optimized Stack 619,000 actions 572,000 actions -7%
Screenshot from Koddr.io, August 2025

Why This Matters?

Static pages are easy to optimize. But WooCommerce stores deal with real-time traffic. Cart updates, login sessions, and checkouts all require live processing. Caching cannot help once a user has signed in.

The Koddr.io results show how an optimized server stack:

  • Reduces CPU spikes during traffic surges.
  • Keeps the backend responsive for your team.
  • Delivers more stable speed for logged-in users.
  • Helps scale without complex performance workarounds.

These are the kinds of changes that power newer stacks purpose-built for dynamic workloads like Cloudways Lightning, built for real WooCommerce workloads.

Core Web Vitals Aren’t Just About The Frontend

You can optimize every image. Minify every line of code. Switch to a faster theme. But your Core Web Vitals score will still suffer if the server can’t respond quickly.

That’s what happens when logged-in users interact with WooCommerce or LMS sites.

When a customer hits “Add to Cart,” caching is out of the picture. The server has to process the request live. That’s where TTFB (Time to First Byte) becomes a real problem.

Slow server response means Google waits longer to start rendering the page. And that delay directly affects your Largest Contentful Paint and Interaction to Next Paint metrics.

Frontend tuning gets you part of the way. But if the backend is slow, your scores won’t improve. Especially for logged-in experiences.

Real optimization starts at the server.

How Agencies Are Skipping The Manual Work

Every developer has a checklist for WooCommerce performance. Use NGINX. Set up Redis. Replace WP-Cron. Add a WAF. Test under load. Keep tuning.

But not every team has the bandwidth to maintain all of it.

That’s why more agencies are using pre-optimized stacks that include these upgrades by default. Cloudways Lightning, a managed stack based on NGINX + PHP-FPM, designed for dynamic workloads is a good example of that.

It’s not just about speed. It’s also about backend stability during high traffic. Admin logins stay fast. Product updates don’t hang. Orders keep flowing.

Joe Lackner, founder of Celsius LLC, shared what changed for them:

“Moving our WordPress workloads to the new Cloudways stack has been a game-changer. The console admin experience is snappier, page load times have improved by +20%, and once again Cloudways has proven to be way ahead of the game in terms of reliability and cost-to-performance value at this price point.”

This is what agencies are looking for. A way to scale without getting dragged into infrastructure management every time traffic picks up.

Final Takeaway

WooCommerce performance is no longer just about homepage load speed.

Your site handles real-time activity from both customers and your team. Once a user logs in or reaches checkout, caching no longer applies. Each action hits the server directly.

If the infrastructure isn’t optimized, site speed drops, sales suffer, and backend work slows down.

The foundations matter. A stack that’s built for high concurrency and uncached traffic keeps things fast across the board. That includes cart updates, admin changes, and product publishing.

For teams who don’t want to manage server tuning manually, options like Cloudways Lightning deliver a faster, simpler path to performance at scale.

Use promo code “SUMMER305” and get 30% off for 5 months + 15 free migrations. Signup Now!

⚡ Power Up My WooCommerce Store

Image Credits

Featured Image: Image by Cloudways. Used with permission.

In-Post Images: Images by Cloudways. Used with permission.

Ecommerce MGMT 0 Comments
Aug 21 2025
Google: Why Lazy Loading Can Delay Largest Contentful Paint (LCP) via @sejournal, @MattGSouthern

In a recent episode of Google’s Search Off the Record podcast, Martin Splitt and John Mueller discussed when lazy loading helps and when it can slow pages.

Splitt used a real-world example on developers.google.com to illustrate a common pattern: making every image lazy by default can delay Largest Contentful Paint (LCP) if it includes above-the-fold visuals.

Splitt said:

“The content management system that we are using for developers.google.com … defaults all images to lazy loading, which is not great.”

Splitt used the example to explain why lazy-loading hero images is risky: you tell the browser to wait on the most visible element, which can push back LCP and cause layout shifts if dimensions aren’t set.

Splitt said:

“If you are using lazy loading on an image that is immediately visible, that is most likely going to have an impact on your largest contentful paint. It’s like almost guaranteed.”

How Lazy Loading Delays LCP

LCP measures the moment the largest text or image in the initial viewport is painted.

Normally, the browser’s preload scanner finds that hero image early and fetches it with high priority so it can paint fast.

When you add loading="lazy" to that same hero, you change the browser’s scheduling:

  • The image is treated as lower priority, so other resources start first.
  • The browser waits until layout and other work progress before it requests the hero image.
  • The hero then competes for bandwidth after scripts, styles, and other assets have already queued.

That delay shifts the paint time of the largest element later, which increases your LCP.

On slow networks or CPU-limited devices, the effect is more noticeable. If width and height are missing, the late image can also nudge layout and feel “jarring.”

SEO Risk With Some Libraries

Browsers now support a built-in loading attribute for images and iframes, which removes the need for heavy JavaScript in standard scenarios. WordPress adopted native lazy loading by default, helping it spread.

Splitt said:

“Browsers got a native attribute for images and iframes, the loading attribute … which makes the browser take care of the lazy loading for you.”

Older or custom lazy-loading libraries can hide image URLs in nonstandard attributes. If the real URL never lands in src or srcset in the HTML Google renders, images may not get picked up for indexing.

Splitt said:

“We’ve seen multiple lazy loading libraries … that use some sort of data-source attribute rather than the source attribute… If it’s not in the source attribute, we won’t pick it up if it’s in some custom attribute.”

How To Check Your Pages

Use Search Console’s URL Inspection to review the rendered HTML and confirm that above-the-fold images and lazy-loaded modules resolve to standard attributes. Avoid relying on the screenshot.

Splitt advised:

“If the rendered HTML looks like it contains all the image URLs in the source attribute of an image tag … then you will be fine.”

Ranking Impact

Splitt framed ranking effects as modest. Core Web Vitals contribute to ranking, but he called it “a tiny minute factor in most cases.”

What You Should Do Next

  • Keep hero and other above-the-fold images eager with width and height set.
  • Use native loading="lazy" for below-the-fold images and iframes.
  • If you rely on a library for previews, videos, or dynamic sections, make sure the final markup exposes real URLs in standard attributes, and confirm in rendered HTML.

Looking Ahead

Lazy loading is useful when applied selectively. Treat it as an opt-in for noncritical content.

Verify your implementation with rendered HTML, and watch how your LCP trends over time.

Featured Image: Screenshot from YouTube.com/GoogleSearchCentral, August 2025. 

Ecommerce MGMT 0 Comments
Aug 12 2025
LLM SEO Optimization Techniques: (including llms.txt)

Table of Contents

  1. How to Make Your Content Visible in the Age of AI Search
  2. What Are LLMs and Why Should You Care?
  3. The New Way of Searching
  4. SEO vs. GEO vs. AEO vs. LLMO: Are We Just Rebranding SEO?
  5. Key LLM SEO Optimization Techniques
  6. Bonus Strategies for LLM Optimization
  7. The Role of llms.txt: Giving AI Search All the Right Signals
  8. LLM Optimization vs. Traditional SEO
  9. Common Mistakes to Avoid
  10. Tools and Resources to Get Started
  11. Conclusion

How to make your content visible in the age of AI search 

So, what exactly is LLM Optimization? Well, the answer to that question depends on who you ask. For example, if you ask a machine learning engineer, they’ll tell you it’s all about tweaking prompts and token limits to get better performance from a large language model. In fact, Iguazio actually defines LLM optimization as improving the way models respond, which means smarter, faster, and with more contextual recognition.    

If, on the other hand, you are a content strategist or SEO enthusiast, LLM optimization will mean something completely different to you and that is making sure that your content shows up in AI-generated search results. And, that needs to be true no matter whether you’re talking to ChatGPT, searching with Perplexity, or scanning Google’s new AI Mode for answers. Some call this ChatGPT SEO or Generative Engine Optimization. 

So, if you fall into the latter of those two groups, ie: the people who want their content and product pages to be seen and clicked, then this article is for you. And, if you’d like to read on, we’ll show you why LLM optimization in an AI-search landscape isn’t some sort of luxury option; it’s an absolute necessity. 

What are LLMs and why should you care? 

AI engineers train Large Language models on huge amounts of text and data to generate answers, summaries, code, and human-like language. They’ve read everything (not just the Classics) and that includes blogs, news articles and your website.   

The reason that’s important is that LLMs don’t crawl your website in real time like Search Engines do. What they do is read it, learn from it and when someone asks them a question, they try to recall what they saw and rephrase it into an answer. If your site shows up as the answer, “Great” but if not, you’ve got a visibility problem. 

The new way of searching 

Search is not just about Google anymore. Also, it’s not as if just one other thing has come to dominate which means we’re left with a rather messy mix of Perplexity answers, Chat GPT chats, Gemini summaries and voice assistants reading out answers while we try to do two tasks at once. 

In short, people aren’t just searching, they’re conversing and if your content can’t hold its own in this environment then you’re missing out on visibility, traffic, and the ability to build trust.  We’ll walk you through exactly how to fix that.   

Read more: How to optimize content for AI LLM comprehension using Yoast’s tools 

SEO vs. GEO vs. AEO vs. LLMO: Are we just rebranding SEO? 

If you’ve been wondering whether you now need four different strategies for SEO (Search Engine Optimization), GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), and LLMO (Large Language Model Optimization), relax, it’s not as big a deal as you might think. You see, despite all the buzzwords, the core of optimization hasn’t changed much. 

All four terms point to the same central goal: making your content more findable, quotable, and credible in machine-generated output regardless of whether that comes from Google’s AI Overviews, ChatGPT, or an answer box on Bing. 

So, should you overhaul your entire content strategy to ‘do LLMO’? 

Not really. At least, not yet. 

Most of what boosts your presence in LLMs is already what SEO professionals have been doing for years. Structured content, semantic clarity, topical authority, entity association, clean internal linking, it’s all classic SEO.  

Where they slightly diverge: 

SEO (Search Engine Optimization)  Relies on backlinks and site architecture to establish authority 
GEO (Generative Engine Optimization  Puts extra emphasis on unlinked brand mentions and semantic association 
AEO (Answer Engine Optimization)  Focuses on being the single best, most concise, and sourceable response to a specific query 
LLMO (Large Language Model Optimization)  Leans into optimizing content not just for people or search crawlers but for LLMs reading in chunks, skipping JavaScript, and relying on embeddings and grounding datasets  

But the thing is: you don’t need four different playbooks. All you need is one solid SEO foundation. In fact, this point is backed up by Google’s Gary Illyes who confirmed that AI Search does not require specialized optimization, saying that “AI SEO” is not necessary and that standard SEO is all that is needed for both AI Overviews and AI Mode. 

  • Focus more on entity mentions, not just links 
  • Treat your core site pages (home, pricing, about) and PDFs as important LLM fuel.
  • Remember that AI crawlers don’t render JavaScript, so client-side content might be invisible   
  • Think about how LLMs process structure (chunking, context, citations), not just how humans skim it 

So, if you’ve already been investing in foundational SEO, you’re already doing most of what GEO, AEO, and LLMO ae all about. That’s why not every new acronym needs you to have a whole rethink on your efforts. Sometimes, it’s just like SEO. 

Key LLM SEO optimization techniques 

Now that we know LLMs aren’t crawling our site but are understanding it, we need to think a little differently about how we create and construct content and for more on this, you may find this article extremely insightful. This is not about cramming in keywords or trying to play the algorithm, it’s about clarity, structure and credibility because these are the things LLMs care about when deciding what to quote, summarize or ignore. Below are some techniques that will help your content stay visible now that people are using generative search.   

The bar has been raised on the quality of content  

LLMs love clarity. The more natural and specific your language is, the easier it is for them to understand and reuse your content. That means not using jargon, avoiding ambiguity and instead, focusing on writing like you’re explaining something to a colleague. 

To give an exact example: 

Don’t Say: 

“Our innovative tool revolutionizes the digital landscape for modern businesses.” 

Instead Say: 

“The Yoast SEO plugin for WordPress helps businesses to improve their website’s visibility and appear inn search results 

Use Structure, Chunked Formatting

Chunked formatting means breaking your content into small pieces (chunks) of informatin that are easy to understand and remember. LLMs tend to prioritize the most easily digestible content construction – which means your headings, bullet points, and clearly defined sections must do a lot of heavy lifting. Not only does organizing your content like this help people to skim read, but it also helps machines understand what each section is about.  

Structuring your content like this will help: 

  • Write clear, descriptive H2s and 3s 
  • Use bullet points that can provide standalone value 
  • Include summaries and tables to give quick overviews 

Be Factual, Transparent, and Authoritative 

Just like Google, LLMs need to trust that your content is reliable before they start taking you seriously. This means you need to show your working out, quote sources, reveal authors, and follow the principles of E-E-A-T. Experience, Expertise, Authority, and Trust. 

Follow these E-E-A-T principles 

To do this: 

  • Include an author bio and credentials if possible (include a link to actual author bios and social profiles) 
  • Name your sources when you use claims or statistics 
  • Share real experiences if possible “As a small business owner…” 

The more real, relatable and trustworthy your content looks, the more AI will like it.  

Optimize for Summarization 

LLMs won’t quote your entire blog post; they’ll only use snippets. Your job is to make those snippets irresistible. Start with strong lead sentences so that each paragraph begins with a clear point followed by context. Also, it’s a good idea to front-load your content. Don’t save your best bits for the end.  

As a reminder: 

  • Start each section with what you want the key takeaway to be 
  • Keep paragraphs short and self-contained 
  • Create standalone summary paragraphs as these often get quoted in AI generated answers 

Use Schema 

Behind every great summary is a structured content model. That’s where Schema markup comes in and to help the AI understand your content, you need to speak in a certain way.   

Read more about schema markup 

To make things clear, use: 

  • Article for blog content 
  • FAQPage for questions and answers 
  • HowTo for instructions 
  • Author and Person for writer’s bio
  • WebPage for generic content 

Bonus strategies for LLM optimization

Once you’ve got the basics completed, like clear writing, structure and trust signals, there’s still more you can do to give your content the best shot at visibility. These bonus strategies focus on how to make your site even more AI-friendly by anticipating how LLMs interpret and reuse information. 

Use Explicit Context and Clear language 

Humans have an incredible ability to be able to ‘fill in the blanks’ and still ‘get the message’ even if the information they got was vague or unclear. One of the biggest differences between humans and LLMs? Humans can infer meaning from vague references. LLMs on the other hand… well, let’s just say that it doesn’t come naturally to them. 

In any case, the point is that if your article mentions “this tool” or “our product” without any context, an LLM might miss the connection entirely. The result? You’re left out of the answer, even if you’re the best source. 

So, to give your content the clarity it deserves: 

  • Use the full product or brand name, like “Yoast SEO plugin for WordPress,” not just “Yoast” 
  • Define technical or niche terms before using them 
  • Avoid vague language (“this page,” “the above section,” “click here”) 

You don’t need to be repetitive, but you do need to be explicit rather than implicit.  

Leverage FAQs and Conversational Formats 

LLMs love FAQs because they’re direct, predictable, and easy to quote. They closely match real user intent and provide high-value snippets that tools like Perplexity and Gemini can pull from without much guesswork. 

How to use the FAQ block in WordPress 

That said, there’s an important limitation to keep in mind if you’re using the Yoast SEO FAQ block in Gutenberg: 

You cannot use H2 or H3 heading tags inside the FAQ block. 
The block creates its own question-answer formatting using custom HTML, which is great for structured data (FAQ Page schema), but it doesn’t support native heading tags which limits your ability to optimize AI readability and skimmability. 

So, if your goal is to appear in AI-generated summaries or answer boxes, where headings like “What is LLM SEO?” make it easy for AI to quote your content, you might be better off using manual formatting. 

Here’s how to get the best of both worlds: 

  • STEP 1: Use H2 or H3 tags for each question (e.g., “What is llms.txt?”) and write a clear, short answer beneath it. This improves LLM visibility but doesn’t generate structured FAQ schema. 
  • Step 2: Use the Yoast FAQ block for schema support but know that it won’t give you a proper heading structure. 

 Ultimately, the more your FAQs resemble natural, searchable questions — and are structured in a way that both humans and AI can easily parse — the more likely they are to be featured in answers. 

Enhance Trust with Freshness Signals  

Just like search engines, some LLMs give preference to newer content, but remember that we need to talk to them in a certain way to get the best out of them. 

Older content can be overlooked. Worse, it can be quoted incorrectly if something has changed since you last hit publish. 

Make sure your pages include: 

  • A clear “last updated” timestamp (can we get a picture of what one would look like for clarification?) 
  • Regular reviews for accuracy 
  • Changelogs or update notes if applicable (especially for software or plugin content) 

It doesn’t have to be complicated, even a simple “Last updated: June 2025” can help both readers and AI systems trust that your content is current.  

How to keep content fresh 

Prioritize Author Visibility and Credibility 

Today, we’re entering a phase where who wrote your content is just as important as what it says. That means you need to highlight author visibility and put effort into signaling real-world experience. 

Here’s how: 

  • Include author bios in WordPress with credentials and links to their professional profiles 
  • Use Person schema to formally associate the content with a specific individual 
  • Weave in relevant experience (“As an SEO consultant who works with SaaS brands…”) 

Remember, LLMs are more likely to trust, quote, and amplify expert-authored content. 

Use Internal Linking Strategically 

Think of internal linking as your site’s nervous system. It helps both humans and LLMs understand what’s important, how topics relate, and where to go next. 

But internal linking isn’t just about SEO hygiene anymore — it’s also a way to establish topic authority and help LLMs build a map of your expertise. 

Do: 

  • Cluster related articles together (e.g., link from “LLM Optimization” to “Schema Markup for SEO”) 
  • Use descriptive anchor text like “read our full guide to Schema markup,” not just “click here” 
  • Ensure every piece of content supports a broader narrative 

Our internal linking feature is available for free with a Yoast SEO Premium plugin. 

The role of llms.txt. Giving AI search all the right signals 

Now let’s talk about one of the most recent developments in LLM visibility; a little file called llms.txt. 

Think of it as a sibling to robots.txt, but instead of guiding search engines, it tells AI tools how they’re allowed to interact with your content. Note: llms.txt is still an evolving standard, and support across AI tools may vary, but it’s a smart step toward asserting control 

With llms.txt, you can: 

  • Define how your content may be reused or summarized 
  • Set clear expectations around attribution, licensing 

It’s not just about protection, it’s about being proactive as AI usage accelerates. 

Even better: Yoast now offers llms.txt integration right inside the plugin, so you don’t need to mess around with code or server settings. If you want to future-proof your site’s visibility (and your IP), this is where you start. 

The llms.txt feature is available for both free and premium customers.   

LLM Optimization vs Traditional SEO: 

LLM Optimization and SEO are part of the same family, but they serve different functions and require slightly different thinking. 

Let’s compare: 

Traditional SEO  LLM Optimization 
Crawled and ranked by bots  Read, remembered, and reused by AIs 
Emphasizes keywords  Emphasizes context and clarity 
   
Optimizes for SERPs  Optimizes for AI-generated summaries and answers 

The takeaway? You can’t ignore either. One brings traffic; the other boosts brand visibility within AI responses. 

And considering that 42% of users now start their research with an LLM (not Google), you’ll want to be found in both places. 

Common Mistakes to Avoid 

Even well-meaning content creators fall into holes. So, take a look at the tips below to avoid any mishaps that could damage your LLM visibility: 

  • Writing like a robot or allowing a robot to write for you (ironically, not appreciated by robots) 
  • Leaving your content undated and unchanged for years 
  • Publishing posts without any author information or editorial standards 
  • Ignoring internal links or leaving orphaned pages 
  • Using vague headings or anchor text like “read more” or “this article” 

If your content looks generic, outdated, or anonymous, it won’t earn any trust. And, without trust, it won’t get quoted. 

 Tools and Resources to Get Started 

Search used to be about visibility within SERPs. But now, it’s also about being seen in summaries, answers, snippets, and chats. LLMs aren’t just shaping the future of search; they’re shaping how your brand is perceived to both humans and robots alike. 

To stand out: 

  • Write with clarity and context 
  • Structure for humans and machines 
  • Cite your expertise and show your authors 
  • Use tools like Yoast and llms.txt to signal your intent 

Future-proof your visibility with Yoast SEO. From llms.txt integration to schema support, Yoast gives you all the tools you need to speak AI’s language and dominate both generative answers and search engines. Get started with Yoast SEO Premium now and make it easy for AI to say something accurate, useful, and… ideally, about you. 

Brendan Reid

Brendan is a seasoned writer with a particular interest in SMEs. What he really enjoys is being able to provide real, actionable steps that can be taken today to start making business better for everyone.

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Aug 6 2025
The Great Reversal: Why Agencies Are Replacing PPC With Predictable SEO via @sejournal, @mktbrew

This post was sponsored by Market Brew. The opinions expressed in this article are the sponsor’s own.

What if your client’s PPC budget could fund long-term organic growth instead?

Why do organic results dominate user clicks, but get sidelined in budget discussions?

Organic Drives 5x More Traffic Than PPC. Can We Prove It?

The Short Answer: Yes!

Over the past decade, digital marketers have witnessed a dramatic shift in how search budgets are allocated.

In the past decade, companies were funding SEO teams alongside PPC teams. However, a shift towards PPC-first has dominated the inbound marketing space.

Where Have SEO Budgets Gone?

Today, more than $150 billion is spent annually on paid search in the United States alone, while only $50 billion is invested in SEO.

That’s a 3-to-1 ratio, even though 90% of search clicks go to organic results, and only 10% to ads.

It’s not because paid search is more effective. Paid search is just easier to measure.

But that’s changing with the return of attribution within predictive SEO.

What Is Attribution?

Attribution in marketing is the process of identifying which touchpoints or channels contributed to a conversion or sale.

It helps us understand the customer journey so we can allocate budget more effectively and optimize campaigns for higher ROI.

As Google’s algorithms evolved, the cause-and-effect between SEO efforts and business outcomes became harder to prove.

Ranking fluctuations seemed random. Timelines stretched.

Clients became impatient.

Trackable Digital Marketing Has Destroyed SEO

With Google Ads, every dollar has a direct, reportable outcome:

  • Impressions.
  • Clicks.
  • Conversions.

SEO, by contrast, has long been:

  • A black box.

As a result, agencies and the clients that hire them followed the money, even when SEO’s results were higher.

PPC’s Direct Attribution Makes PPC Look More Important, But SEO Still Dominates

Hard facts:

  • SEO drives 5x more traffic than PPC.
  • Companies pay 3x more on PPC than SEO.
Image created by MarketBrew, August 2025

You Can Now Trace ROI Back To SEO

As a result, many SEO professionals and agencies want a way back to organic. Now, there is one, and it’s powered by attribution.

Attribution Is the Key to Measurable SEO Performance

Instead of sitting on the edge of the search engine’s black box, guessing what might happen, we can now go inside the SEO black box, to simulate how the algorithms behave, factor by factor, and observe exactly how rankings react to each change.

This is SEO with attribution.

Image created by MarketBrew, August 2025

With this model in place, you are no longer stuck saying “trust us.”

You can say, “Here’s what we changed. Here’s how rankings moved. Here’s the value of that movement.” Whether the change was a new internal link structure or a content improvement, it’s now visible, measurable, and attributable.

For the first time, SEO teams have a way to communicate performance in terms executives understand: cause, effect, and value.

This transparency is changing the way agencies operate. It turns SEO into a predictable system, not a gamble. And it arms client-facing teams with the evidence they need to justify the budget, or win it back.

How Agencies Are Replacing PPC With Measurable Organic SEO

For agencies, attribution opens the door to something much bigger than better reporting; it enables a completely new kind of offering: performance-based SEO.

Traditionally, SEO services have been sold as retainers or hourly engagements. Clients pay for effort, not outcomes. With attribution, agencies can now flip that model and say: You only pay when results happen.

Enter Market Brew’s AdShifted feature to model this value and success as shown here:

Screenshot from a video by MarketBrew, August 2025

The AdShift tool starts by entering a keyword to discover up to 4* competitive URLs for the Keyword’s Top Clustered Similarities. (*including your own website plus 4 top-ranking competitors)

Screenshot of PPC vs. MarketBrew comparison dashboard by Marketbrew, August 2025

AdShift averages CPC and search volume across all keywords and URLs, giving you a reliable market-wide estimate and details for your brand towards a monthly PPC investment to rank #1.

The dashboard of a business dashboard.
Screenshot of a dashboard by Marketbrew, August 2025

AdShift then calculates YOUR percentage of replacement for PPC to fund SEO.

This allows you to model your own Performance Plan with variable discounts available to the Market Brew license fees with an always less than 50% of PPC Fee for clicks replaced by new SEO traffic.

The dashboard for a business account.
Screenshot of a dashboard by Marketbrew, August 2025

AdShift simulates a PPC replacement plan option selected based on its keywords footprint to instantly see savings from the associated Performance Plans.

That’s the heart of the PPC replacement plan: a strategy you can use to gradually shift a  clients’ paid search budgets into measurable performance-based SEO.

What Is A PPC Replacement Plan? Trackable SEO.

A PPC replacement plan is a strategy in which agencies gradually shift their clients’ paid search budgets into organic investments, with measurable outcomes and shared performance incentives.

Here’s how it works:

  1. Benchmark Paid Spend: Identify the current Google Ads budget, i.e., $10,000 per month or $120,000 per year.
  2. Forecast Organic Value: Use search engine modeling to predict the lift in organic traffic from specific SEO tasks.
  3. Execute & Attribute: Complete tasks and monitor real-time changes in rankings and traffic.
  4. Charge on Impact: Instead of billing for time, bill for results, often at a fraction of the client’s former ad spend.

This is not about replacing all paid spend.

Branded queries and some high-value targets may remain in PPC. But for the large, expensive middle of the keyword funnel, agencies can now offer a smarter path: predictable, attributable organic results, at a lower cost-per-click, with better margins.

And most importantly, instead of lining Google’s pockets with PPC revenue, your investments begin to fuel both organic and LLM searches!

Real-World Proof That SEO Attribution Works

Agencies exploring this new attribution-powered model aren’t just intrigued … they’re energized. For many, it’s the first time in years that SEO feels like a strategic growth engine, not just a checklist of deliverables.

“We’ve pitched performance SEO to three clients this month alone,” said one digital strategy lead. “The ability to tie ranking improvements to specific tasks changed the entire conversation.”

– Sean Myers, CEO, ThreeTech

Another partner shared,

“Instead of walking into meetings looking to justify an SEO retainer, we enter with a blueprint representing a SEO/GEO/AEO Search Engine’s ‘digital twin’ with the AI-driven tasks that show exactly what needs to be changed and the rankings it produces. Clients don’t question the value … they ask what’s next.”

– Stephen Heitz, Chief Innovation Officer, LAVIDGE

Several agencies report that new business wins are increasing simply because they offer something different. While competitors stick to vague SEO promises or expensive PPC management, partners leveraging attribution offer clarity, accountability, and control.

And when the client sees that they’re paying less and getting more, it’s not a hard sell, it’s a long-term relationship.

A Smarter, More Profitable Model for Agencies and SEOs

The traditional agency model in search has become a maze of expectations.

Managing paid search may deliver short-term wins, but it comes to a bidding war with only those with the biggest budgets winning. SEO, meanwhile, has often felt like a thankless task … necessary but underappreciated, valuable but difficult to prove.

Attribution changes that.

For agencies, this is a path back to profitability and positioning. With attribution, you’re not just selling effort … you’re selling outcomes. And because the work is modeled and measured in advance, you can confidently offer performance plans that are both client-friendly and agency-profitable.

For SEOs, this is about getting the credit they deserve. Attribution allows practitioners to demonstrate their impact in concrete terms. Rankings don’t just move, … they move because of you. Traffic increases aren’t vague, … they’re connected to your specific strategies.

Now, you can show this.

Most importantly, this approach rebuilds trust.

Clients no longer have to guess what’s working. They see it. In dashboards, in forecasts, in side-by-side comparisons of where they were and where they are now. It restores SEO to a place of clarity and control where value is obvious, and investment is earned.

The industry has been waiting for this. And now, it’s here.

From PPC Dependence to Organic Dominance — Now Backed by Data

Search budgets have long been upside down, pouring billions into paid clicks that capture a mere fraction of user attention, while underfunding the organic channel that delivers lasting value.

Why? Because SEO lacked attribution.

That’s no longer the case.

Today, agencies and SEO professionals have the tools to prove what works, forecast what’s next, and get paid for the real value they deliver. It’s a shift that empowers agencies to move beyond bidding-war PPC management and into a lower cost & higher ROAS, performance-based SEO.

This isn’t just a new service mode it’s a rebalancing of power in search.

Organic is back. It’s measurable. It’s profitable. And it’s ready to take center stage again.

The only question is: will you be the agency or brand that leads the shift or watch as others do it first?

Citations

Get Your Predictable SEO Plan

Image Credits

Featured Image: Image by Market Brew. Used with permission.

In-Post Image: Images by Market Brew. Used with permission.

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Jul 31 2025
Bing Recommends lastmod Tags For AI Search Indexing via @sejournal, @MattGSouthern

Bing has updated its sitemap guidance with a renewed focus on the lastmod tag, highlighting its role in AI-powered search to determine which pages need to be recrawled.

While real-time tools like IndexNow offer faster updates, Bing says accurate lastmod values help keep content discoverable, especially on frequently updated or large-scale sites.

Bing Prioritizes lastmod For Recrawling

Bing says the lastmod field in your sitemap is a top signal for AI-driven indexing. It helps determine whether a page needs to be recrawled or can be skipped.

To make it work effectively, use ISO 8601 format with both date and time (e.g. 2004-10-01T18:23:17+00:00). That level of precision helps Bing prioritize crawl activity based on actual content changes.

Avoid setting lastmod to the time your sitemap was generated, unless the page was truly updated.

Bing also confirmed that changefreq and priority tags are ignored and no longer affect crawling or ranking.

Submission & Verification Tips

Bing recommends submitting your sitemap in one of two ways:

  • Reference it in your robots.txt file
  • Submit it via Bing Webmaster Tools

Once submitted, Bing fetches the sitemap immediately and rechecks it daily.

You can verify whether it’s working by checking the submission status, last read date, and any processing errors in Bing Webmaster Tools.

Combine With IndexNow For Better Coverage

To increase the chances of timely indexing, Bing suggests combining sitemaps with IndexNow.

While sitemaps give Bing a full picture of your site, IndexNow allows real-time URL-level updates—useful when content changes frequently.

The Bing team states:

“By combining sitemaps for comprehensive site coverage with IndexNow for fast, URL-level submission, you provide the strongest foundation for keeping your content fresh, discoverable, and visible.”

Sitemaps at Massive Scale

If you manage a large website, Bing’s sitemap capacity limits are worth your attention:

  • Up to 50,000 URLs per sitemap
  • 50,000 sitemaps per index file
  • 2.5 billion URLs per index
  • Multiple index files support indexing up to 2.5 trillion URLs

That makes the standard sitemap protocol scalable enough even for enterprise-level ecommerce or publishing platforms.

Fabrice Canel and Krishna Madhavan of Microsoft AI, Bing, noted that using these limits to their full extent helps ensure content remains discoverable in AI search.

Why This Matters

As search becomes more AI-driven, accurate crawl signals matter more.

Bing’s reliance on sitemaps, especially the lastmod field, shows that basic technical SEO practices still matter, even as AI reshapes how content is surfaced.

For large sites, Bing’s support for trillions of URLs offers scalability. For everyone else, the message is simpler: keep your sitemaps clean, accurate, and updated in real-time. This gives your content the best shot at visibility in AI search.

Featured Image: PJ McDonnell/Shutterstock

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Jul 30 2025
How To Win In Generative Engine Optimization (GEO) via @sejournal, @maltelandwehr

This post was sponsored by Peec.ai. The opinions expressed in this article are the sponsor’s own.

The first step of any good GEO campaign is creating something that LLM-driven answer machines actually want to link out to or reference.

GEO Strategy Components

Think of experiences you wouldn’t reasonably expect to find directly in ChatGPT or similar systems:

  • Engaging content like a 3D tour of the Louvre or a virtual reality concert.
  • Live data like prices, flight delays, available hotel rooms, etc. While LLMs can integrate this data via APIs, I see the opportunity to capture some of this traffic for the time being.
  • Topics that require EEAT (experience, expertise, authoritativeness, trustworthiness).

LLMs cannot have first-hand experience. But users want it. LLMs are incentivized to reference sources that provide first-hand experience. That’s just one of the things to keep in mind, but what else?

We need to differentiate between two approaches: influencing foundational models versus influencing LLM answers through grounding. The first is largely out of reach for most creators, while the second offers real opportunities.

Influencing Foundational Models

Foundational models are trained on fixed datasets and can’t learn new information after training. For current models like GPT-4, it is too late – they’ve already been trained.

But this matters for the future: imagine a smart fridge stuck with o4-mini from 2025 that might – hypothetically – favor Coke over Pepsi. That bias could influence purchasing decisions for years!

Optimizing For RAG/Grounding

When LLMs can’t answer from their training data alone, they use retrieval augmented generation (RAG) – pulling in current information to help generate answers. AI Overviews and ChatGPT’s web search work this way.

As SEO professionals, we want three things:

  1. Our content gets selected as a source.
  2. Our content gets quoted most within those sources.
  3. Other selected sources support our desired outcome.

Concrete Steps To Succeed With GEO

Don’t worry, it doesn’t take rocket science to optimize your content and brand mentions for LLMs. Actually, plenty of traditional SEO methods still apply, with a few new SEO tactics you can incorporate into your workflow.

Step 1: Be Crawlable

Sounds simple but it is actually an important first step. If you aim for maximum visibility in LLMs, you need to allow them to crawl your website. There are many different LLM crawlers from OpenAI, Anthropic & Co.

Some of them behave so badly that they can trigger scraping and DDoS preventions. If you are automatically blocking aggressive bots, check in with your IT team and find a way to not block LLMs you care about.

If you use a CDN, like Fastly or Cloudflare, make sure LLM crawlers are not blocked by default settings.

Step 2: Continue Gaining Traditional Rankings

The most important GEO tactic is as simple as it sounds. Do traditional SEO. Rank well in Google (for Gemini and AI Overviews), Bing (for ChatGPT and Copilot), Brave (for Claude), and Baidu (for DeepSeek).

Step 3: Target the Query Fanout

The current generation of LLMs actually does a little more than simple RAG. They generate multiple queries. This is called query fanout.

For example, when I recently asked ChatGPT “What is the latest Google patent discussed by SEOs?”, it performed two web searches for “latest Google patent discussed by SEOs patent 2025 SEO forum” and “latest Google patent SEOs 2025 discussed”.

Advice: Check the typical query fanouts for your prompts and try to rank for those keywords as well.

Typical fanout-patterns I see in ChatGPT are appending the term “forums” when I ask what people are discussing and appending “interview” when I ask questions related to a person. The current year (2025) is often added as well.

Beware: fanout patterns differ between LLMs and can change over time. Patterns we see today may not be relevant anymore in 12 months.

Step 4: Keep Consistency Across Your Brand Mentions

This is something simple everyone should do – both as a person and an enterprise. Make sure you are consistently described online. On X, LinkedIn, your own website, Crunchbase, Github – always describe yourself the same way.

If your X and LinkedIn profiles say you are a “GEO consultant for small businesses”, don’t change it to “AIO expert” on Github and “LLMO Freelancer” in your press releases.

I have seen people achieve positive results within a few days on ChatGPT and Google AI Overviews by simply having a consistent self description across the web. This also applies to PR coverage – the more and better coverage you can obtain for your brand, the more likely LLMs are to parrot it back to users.

Step 5: Avoid JavaScript

As an SEO, I always ask for as little JavaScript usage as possible. As a GEO, I demand it!

Most LLM crawlers cannot render JavaScript. If your main content is hidden behind JavaScript, you are out.

Step 6: Embrace Social Media & UGC

Unsurprisingly, LLMs seem to rely on reddit and Wikipedia a lot. Both platforms offer user-generated-content on virtually every topic. And thanks to multiple layers of community-driven moderation, a lot of junk and spam is already filtered out.

While both can be gamed, the average reliability of their content is still far better than on the internet as a whole. Both are also regularly updated.

reddit also provides LLM labs with data into how people discuss topics online, what language they use to describe different concepts, and knowledge on obscure niche topics.

We can reasonably assume that moderated UGC found on platforms like reddit, Wikipedia, Quora, and Stackoverflow will stay relevant for LLMs.

I do not advocate spamming these platforms. However, if you can influence how you and competitors show up there, you might want to do so.

Step 7: Create For Machine-Readability & Quotability

Write content that LLMs understand and want to cite. No one has figured this one out perfectly yet, but here’s what seems to work:

  • Use declarative and factual language. Instead of writing “We are kinda sure this shoe is good for our customers”, write “96% of buyers have self-reported to be happy with this shoe.”
  • Add schema. It has been debated many times. Recently, Fabrice Canel (Principal Product Manager at Bing) confirmed that schema markup helps LLMs to understand your content.
  • If you want to be quoted in an already existing AI Overview, have content with similar length to what is already there. While you should not just copy the current AI Overview, having high cosine similarly helps. And for the nerds: yes, given normalization, you can of course use the dot product instead of cosine similarity.
  • If you use technical terms in your content, explain them. Ideally in a simple sentence.
  • Add summaries of long text paragraphs, lists of reviews, tables, videos, and other types of difficult-to-cite content formats.

Step 8: Optimize your Content

Start of the paper GEO: Generative Engine Optimization (arXiv:2311.09735)The original GEO paper

If we look at GEO: Generative Engine Optimization (arXiv:2311.09735) , What Evidence Do Language Models Find Convincing? (arXiv:2402.11782v1), and similar scientific studies, the answer is clear. It depends!

To be cited for some topics in some LLMs, it helps to:

  • Add unique words.
  • Have pro/cons.
  • Gather user reviews.
  • Quote experts.
  • Include quantitative data and name your sources.
  • Use easy to understand language.
  • Write with positive sentiment.
  • Add product text with low perplexity (predictable and well-structured).
  • Include more lists (like this one!).

However, for other combinations of topics and LLMs, these measures can be counterproductive.

Until broadly accepted best practices evolve, the only advice I can give is do what is good for users and run experiments.

Step 9: Stick to the Facts

For over a decade, algorithms have extracted knowledge from text as triples like (Subject, Predicate, Object) — e.g., (Lady Liberty, Location, New York). A text that contradicts known facts may seem untrustworthy. A text that aligns with consensus but adds unique facts is ideal for LLMs and knowledge graphs.

So stick to the established facts. And add unique information.

Step 10: Invest in Digital PR

Everything discussed here is not just true for your own website. It is also true for content on other websites. The best way to influence it? Digital PR!

The more and better coverage you can obtain for your brand, the more likely LLMs are to parrot it back to users.

I have even seen cases where advertorials were used as sources!

Concrete GEO Workflows To Try

Before I joined Peec AI, I was a customer. Here is how I used the tool – and how I advise our customers to use it.

Learn Who Your Competitors Are

Just like with traditional SEO, using a good GEO tool will often reveal unexpected competitors. Regularly look at a list of automatically identified competitors. For those who surprise you, check in which prompts they are mentioned. Then check the sources that led to their inclusion. Are you represented properly in these sources? If not, act!

Is a competitor referenced because of their PeerSpot profile but you have zero reviews there? Ask customers for a review.

Was your competitor’s CEO interviewed by a Youtuber? Try to get on that show as well. Or publish your own videos targeting similar keywords.

Is your competitor regularly featured on top 10 lists where you never make it to the top 5? Offer the publisher who created the list an affiliate deal they cannot decline. With the next content update, you’re almost guaranteed to be the new number one.

Understand the Sources

When performing search grounding, LLMs rely on sources.

Typical LLM Sources: Reddit & Wikipedia

Look at the top sources for a large set of relevant prompts. Ignore your own website and your competitors for a second. You might find some of these:

  • A community like Reddit or X. Become part of the community and join the discussion. X is your best bet to influence results on Grok.
  • An influencer-driven website like YouTube or TikTok. Hire influencers to create videos. Make sure to instruct them to target the right keywords.
  • An affiliate publisher. Buy your way to the top with higher commissions.
  • A news and media publisher. Buy an advertorial and/or target them with your PR efforts. In certain cases, you might want to contact their commercial content department.

You can also check out this in-depth guide on how to deal with different kinds of source domains.

Target Query Fanout

Once you have observed which searches are triggered by query fanout for your most relevant prompts, create content to target them.

On your own website. With posts on Medium and LinkedIn. With press releases. Or simply by paying for article placements. If it ranks well in search engines, it has a chance to be cited by LLM-based answer engines.

Position Yourself for AI-Discoverability

Generative Engine Optimization is no longer optional – it’s the new frontline of organic growth. At Peec AI, we’re building the tools to track, influence, and win in this new ecosystem.

Generative Engine Optimization is no longer optional – it’s the new frontline of organic growth. We currently see clients growing their LLM traffic by 100% every 2 to 3 months. Sometimes with up to 20x the conversation rate of typical SEO traffic!

Whether you’re shaping AI answers, monitoring brand mentions, or pushing for source visibility, now is the time to act. The LLMs consumers will trust tomorrow are being trained today.

Try Peec AI

Image Credits

Featured Image: Image by Peec.ai Used with permission.

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Jul 28 2025
Google Warns: CSS Background Images Aren’t Indexed via @sejournal, @MattGSouthern

In a recent Search Off the Record podcast, Google’s Search Relations team cautioned developers against using CSS for all website images.

While CSS background images can enhance visual design, they’re invisible to Google Image Search. This could lead to missed opportunities in image indexing and search visibility.

Here’s what Google’s Search Advocates advise.

The CSS Image Problem

During the episode, John Mueller shared a recurring issue:

“I had someone ping me I think last week or a week before on social media: “It looks like my developer has decided to use CSS for all of the images because they believe it’s better.” Does this work?”

According to the Google team, this approach stems from a misunderstanding of how search engines interpret images.

When visuals are added via CSS background properties instead of standard HTML image tags, they may not appear in the page’s DOM, and therefore can’t be indexed.

As Martin Splitt explained:

“If you have a content image, if the image is part of the content… you want an img, an image tag or a picture tag that actually has the actual image as part of the DOM because you want us to see like ah so this page has this image that is not just decoration. It is part of the content and then image search can pick it up.”

Content vs. Decoration

The difference between a content image and a decorative image is whether it adds meaning or is purely cosmetic.

Decorative images, such as patterned backgrounds, atmospheric effects, or animations, can be safely implemented using CSS.

When the image conveys meaning or is referenced in the content, CSS is a poor fit.

Splitt offered the following example:

“If I have a blog post about this specific landscape and I want to like tell people like look at this amazing panoramic view of the landscape here and then it’s a background image… the problem is the content specifically references this image, but it doesn’t have the image as part of the content.”

In such cases, placing the image in HTML using the img or picture tag ensures it’s understood as part of the page’s content and eligible for indexing in Google Image Search.

What Makes CSS Images Invisible?

Splitt explained why this happens:

“For a user looking at the browser, what are you talking about, Martin? The image is right there. But if you look at the DOM, it absolutely isn’t there. It is just a CSS thing that has been loaded to style the page.”

Because Google parses the DOM to determine content structure, images styled purely through CSS are often overlooked, especially if they aren’t included as actual HTML elements.

This distinction reflects a broader web development principle.

Splitt adds:

“There is ideally a separation between the way the site looks and what the content is.”

What About Stock Photos?

The team addressed the use of stock photos, which are sometimes added for visual appeal rather than original content.

Splitt says:

“The meaning is still like this image is not mine. It’s a stock image that we bought or licensed but it is still part of the content,” the team noted.

While these images may not rank highly due to duplication, implementing them in HTML still helps ensure proper indexing and improves accessibility.

Why This Matters

The team highlighted several examples where improper implementation could reduce visibility:

  • Real estate listings: Home photos used as background images won’t show up in relevant image search queries.
  • News articles: Charts or infographics added via CSS can’t be indexed, weakening discoverability.
  • E-commerce sites: Product images embedded in background styles may not appear in shopping-related searches.

What To Do Next

Google’s comments indicate that you should follow these best practices:

  • Use HTML (img or picture) tags for any image that conveys content or is referenced on the page.
  • Reserve CSS backgrounds for decorative visuals that don’t carry meaning.
  • If users might expect to find an image via search, it should be in the HTML.
  • Proper implementation helps not only with SEO, but also with accessibility tools and screen readers.

Looking Ahead

Publishers should be mindful of how images are implemented.

While CSS is a powerful tool for design, using it to deliver content-related images may conflict with best practices for indexing, accessibility, and long-term SEO strategy.

Listen to the full podcast episode below:

Featured Image: Roman Samborskyi/Shutterstock

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Jul 25 2025
Google Confirms CSS Class Names Don’t Influence SEO via @sejournal, @MattGSouthern

In a recent episode of Google’s Search Off the Record podcast, Martin Splitt and John Mueller clarified how CSS affects SEO.

While some aspects of CSS have no bearing on SEO, others can directly influence how search engines interpret and rank content.

Here’s what matters and what doesn’t.

Class Names Don’t Matter For Rankings

One of the clearest takeaways from the episode is that CSS class names have no impact on Google Search.

Splitt stated:

“I don’t think it does. I don’t think we care because the CSS class names are just that. They’re just assigning a specific somewhat identifiable bit of stylesheet rules to elements and that’s it. That’s all. You could name them all “blurb.” It would not make a difference from an SEO perspective.”

Class names, they explained, are used only for applying visual styling. They’re not considered part of the page’s content. So they’re ignored by Googlebot and other HTML parsers when extracting meaningful information.

Even if you’re feeding HTML into a language model or a basic crawler, class names won’t factor in unless your system is explicitly designed to read those attributes.

Why Content In Pseudo Elements Is A Problem

While class names are harmless, the team warned about placing meaningful content in CSS pseudo elements like :before and :after.

Splitt stated:

“The idea again—the original idea—is to separate presentation from content. So content is in the HTML, and how it is presented is in the CSS. So with before and after, if you add decorative elements like a little triangle or a little dot or a little light bulb or like a little unicorn—whatever—I think that is fine because it’s decorative. It doesn’t have meaning in the sense of the content. Without it, it would still be fine.”

Adding visual flourishes is acceptable, but inserting headlines, paragraphs, or any user-facing content into pseudo elements breaks the core principle of web development.

That content becomes invisible to search engines, screen readers, and any other tools that rely on parsing the HTML directly.

Mueller shared a real-world example of how this can go wrong:

“There was once an escalation from the indexing team that said we should contact the site and tell them to stop using before and after… They were using the before pseudo class to add a number sign to everything that they considered hashtags. And our indexing system was like, it would be so nice if we could recognize these hashtags on the page because maybe they’re useful for something.”

Because the hashtag symbols were added via CSS, they were never seen by Google’s systems.

Splitt tested it live during the recording and confirmed:

“It’s not in the DOM… so it doesn’t get picked up by rendering.”

Oversized CSS Can Hurt Performance

The episode also touched on performance issues related to bloated stylesheets.

According to data from the HTTP Archive’s 2022 Web Almanac, the median size of a CSS file had grown to around 68 KB for mobile and 72 KB for desktop.

Mueller stated:

“The Web Almanac says every year we see CSS grow in size, and in 2022 the median stylesheet size was 68 kilobytes or 72 kilobytes. … They also mentioned the largest one that they found was 78 megabytes. … These are text files.”

That kind of bloat can negatively impact Core Web Vitals and overall user experience, which are two areas that do influence rankings. Frameworks and prebuilt libraries are often the cause.

While developers can mitigate this with minification and unused rule pruning, not everyone does. This makes CSS optimization a worthwhile item on your technical SEO checklist.

Keep CSS Crawlable

Despite CSS’s limited role in ranking, Google still recommends making CSS files crawlable.

Mueller joked:

“Google’s guidelines say you should make your CSS files crawlable. So there must be some kind of magic in there, right?”

The real reason is more technical than magical. Googlebot uses CSS files to render pages the way users would see them.

Blocking CSS can affect how your pages are interpreted, especially for layout, mobile-friendliness, or elements like hidden content.

Practical Tips For SEO Pros

Here’s what this episode means for your SEO practices:

  • Stop optimizing class names: Keywords in CSS classes won’t help your rankings.
  • Check pseudo elements: Any real content, like text meant to be read, should live in HTML, not in :before or :after.
  • Audit stylesheet size: Large CSS files can hurt page speed and Core Web Vitals. Trim what you can.
  • Ensure CSS is crawlable: Blocking stylesheets may disrupt rendering and impact how Google understands your page.

The team also emphasized the importance of using proper HTML tags for meaningful images:

“If the image is part of the content and you’re like, ‘Look at this house that I just bought,’ then you want an img, an image tag or a picture tag that actually has the actual image as part of the DOM because you want us to see like, ah, so this page has this image that is not just decoration.”

Use CSS for styling and HTML for meaning. This separation helps both users and search engines.

Listen to the full podcast episode below:

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