WordPress AI Engine Plugin Vulnerability Affects Up To 100,000 Websites via @sejournal, @martinibuster

A security advisory was issued for the AI Engine WordPress plugin, installed on over 100,000 websites, the fourth one this month. Rated 8.8, this vulnerability enables attackers with only subscriber-level authentication to upload malicious files when the REST API is enabled.

AI Engine Plugin: Fifth Vulnerability In 2025

This is the fourth vulnerability discovered in the AI Engine plugin in July, following the first one of the year discovered in June, making a total of five vulnerabilities discovered in the plugin so far in 2025. There were nine vulnerabilities discovered in 2024, one of which was rated 9.8 because it enabled unauthenticated attackers to upload malicious files, plus another rated 9.1 that also enabled arbitrary uploads.

Authenticated (Subscriber+) Arbitrary File Upload

The latest vulnerability enables authenticated file uploads. What makes this exploit more dangerous is that it requires only subscriber-level authentication for an attacker to take advantage of the security weakness. That isn’t as bad as a vulnerability that doesn’t require authentication, but it’s still rated 8.8 on a scale of 1 to 10.

Wordfence describes the vulnerability as being due to missing file type validation in a function related to the REST API in versions 2.9.3 and 2.9.4.

File type validation is a security measure typically used within WordPress to make sure that the content of a file matches the type of file being uploaded to the website.

According to Wordfence:

“This makes it possible for authenticated attackers, with Subscriber-level access and above, to upload arbitrary files on the affected site’s server when the REST API is enabled, which may make remote code execution possible.”

Users of the AI Engine plugin are recommended updating their plugin to the latest version, 2.9.5, or a newer version.

The plugin changelog for version 2.9.5 shares what was updated:

“Fix: Resolved a security issue related to SSRF by validating URL schemes in audio transcription and sanitizing REST API parameters to prevent API key misuse.

Fix: Corrected a critical security vulnerability that allowed unauthorized file uploads by adding strict file type validation to prevent PHP execution.”

Featured Image by Shutterstock/Jiri Hera

B2B Marketing Is Starting to Look a Lot Like B2C (And It’s Working) via @sejournal, @MattGSouthern

B2B marketers are taking a page from the B2C playbook and seeing real results.

According to LinkedIn’s B2B Marketing Benchmark Report, strategies once considered too informal for business audiences, like short-form video and influencer collabs, are now central to building trust and driving growth.

The study, based on responses from 1,500 senior marketers across six countries, found that 94% believe trust is the key to success in B2B.

But many brands are moving away from traditional lead-gen tactics and turning instead to emotionally resonant content and credible voices.

Lee Moskowitz, Growth Marketer and Podcast Host at Lee2B, is quoted in the report:

“We’re in an era of ‘AI slop,’ long sales cycles and growing buying committees. Brands need to build trust, prove their expertise and earn their place in the buying process.”

This shift toward more consumer-style tactics is evident in the adoption of video content across B2B teams.

B2B Video Marketing Hits a Tipping Point

Video is now foundational to B2B marketing, with 78% of marketers including it in their programs and over half planning to increase investments in the coming year.

Screenshot from: youtube.com/@LinkedInMktg, July 2025.

The most successful teams aren’t using video in isolation, they’re building multi-channel strategies that map to different funnel stages.

According to LinkedIn’s data, marketers with a video strategy are:

  • 2.2x more likely to say their brand is well trusted
  • 1.8x more likely to say their brand is well known

Popular formats include short-form social clips, brand storytelling, and customer testimonials. Content types long associated with B2C engagement are now proving effective in B2B.

Screenshot from: linkedin.com/business/marketing/blog/marketing-collective/2025-b2b-marketing-benchmar-the-video-influence-effect-starts-with-trust, July 2025.

AJ Wilcox, founder of B2Linked, states in the report:

“Capturing that major B2B deal requires trust, and nothing builds trust faster than personal video content. I feel more trusting of a brand after watching a 1-min clip of their founder talking than if I read five of their blog posts.”

B2B Influencer Marketing Moves Into the Mainstream

Fifty-five percent of marketers in the study said they now work with influencers. The top reasons include trust, authenticity, and credibility.

B2B influencers are typically subject matter experts, practitioners, or respected voices in their fields. And their impact appears to be tied to business outcomes: 84% of marketers using influencer marketing expect budget increases next year, compared to just 58% of non-users.

Brendan Gahan, CEO and Co-Founder of Creator Authority, states:

“This feels like a YouTube moment. LinkedIn is entering that same phase now. It already generates more weekly comments than Reddit. Its creator ecosystem is thriving and growing fast.”

Buyers trust people they relate to. Marketers are shifting their influencer strategies to reflect that, prioritizing alignment and authority over follower counts.

Screenshot from: linkedin.com/business/marketing/blog/marketing-collective/2025-b2b-marketing-benchmar-the-video-influence-effect-starts-with-trust, July 2025.

What This Means

Trust signals are becoming more important across the board, especially as search engines continue to emphasize expertise, authority, and trust (E-E-A-T). Relying on blog posts alone may no longer be enough to demonstrate what your brand stands for.

Video gives you a way to show expertise in a more personal, credible way. Whether it’s a founder explaining your product or a customer sharing their experience.

For long sales cycles and complex buying decisions, what’s working now looks a lot more human: authentic voices, visible experts, and content that’s easy to connect with.


Featured Image: Roman Samborskyi/Shutterstock

Research Shows Differences In ChatGPT And Google AIO Answers via @sejournal, @martinibuster

New research from enterprise search marketing platform BrightEdge discovered differences in how Google and ChatGPT surface content. These differences matter to digital marketers and content creators because they show how content is recommended by each system. Recognizing the split enables brands to adapt their content strategies to stay relevant across both platforms.

BrightEdge’s findings were surfaced through an analysis of B2B technology, education, healthcare, and finance queries. It’s possible to cautiously extrapolate the findings to other niches where there could be divergences in how Google and ChatGPT respond, but that’s highly speculative, so this article won’t do that.

Core Differences: Task Vs. Information Orientation

BrightEdge’s research discovered that ChatGPT and Google AI Overviews take two different approaches to helping users take action. ChatGPT is more likely to recommend tools and apps, behaving in the role of a guide for making immediate decisions. Google provides informational content that encourages users to read before acting. This difference matters for SEO because it enables content creators and online stores to understand how their content is processed and presented to users of each system.

BrightEdge explains:

“In task-oriented prompts, ChatGPT overwhelmingly suggests tools and apps directly, while Google continues to link to informational content. While Google thrives as a research assistant, ChatGPT acts like a trusted coach for decision making, and that difference shapes which tool users instinctively choose for different needs.”

Divergence On Action-Oriented Queries

ChatGPT and Google tend to show similar kinds of results when users are querying for comparisons, but the results begin to diverge when the user intent implies they want to act. BrightEdge found that prompts about credit card comparisons or learning platforms generated similar kinds of results.

Questions with an action intent, like “how to create a budget” or “learn Python,” lead to different answers. ChatGPT appears to treat action intent prompts as requiring a response with tools, while Google treats them as requiring information.

BrightEdge notes that Healthcare has the highest rate of divergence:

“At 62% divergence, healthcare demonstrates the most significant split between platforms.

  • When prompts pertain to symptoms or medical information, both ChatGPT and Google will mention the CDC and The Mayo Clinic.
  • However, when prompted to help with things like “How to find a doctor,” ChatGPT pushes users towards Zocdoc, while Google points to hospital directories.”

B2B Technology niche has the second highest level of divergence:

“With 47% divergence, B2B tech shows substantial platform differences.

  • When comparing technology, such as cloud platforms, both suggest AWS and Azure.
  • When asked “How to deploy things (such as specific apps),” ChatGPT relies on tools like Kubernetes and the AWS CLI, while Google offers tutorials and Stack Overflow.”

Education follows closely behind B2B technology:

“At 45% divergence, education follows the same trend.

  • When comparing “Best online learning platforms,” both platforms surface Coursera, EdX, and LinkedIn Learning.
  • When a user’s prompt pertains to learning a skill such as “How to learn Python,” ChatGPT recommends Udemy, whereas Google directs users to user-generated content hubs like GitHub and Medium.”

Finance shows the lowest levels of divergence, at 39%.

BrightEdge concludes that this represents a “fundamental shift” in how AI platforms interpret intent, which means that marketers need to examine the intent behind the search results for each platform and make content strategy decisions based on that research.

Tools Versus Topics

BrightEdge uses the example of the prompt “What are some resources to help plan for retirement?” to show how Google and ChatGPT differ. ChatGPT offers calculators and tools that users can act on, while Google suggests topics for further reading.

Screenshot Of ChatGPT Responding With Financial Tools

There’s a clear difference in the search experience for users. Marketers, SEOs, and publishers should consider how to meet both types of expectations: practical, action-based responses from ChatGPT and informational content from Google.

Takeaways

  • Split In User Intent Interpretation:
    Google interprets queries as requests for information, while ChatGPT tends to interpret many of the same queries as a call for action that’s solved by tools.
  • Platform Roles:
    ChatGPT behaves like a decision-making coach, while Google acts as a research assistant.
  • Domain-Specific Differences:
    Healthcare has the highest divergence (62%), especially in task-based queries like finding a doctor.
    B2B Technology (47%) and Education (45%) also show significant splits in how guidance is delivered.
    Finance shows the least divergence (39%) in how results are presented.
  • Tools vs. Topics:
    ChatGPT recommends actionable resources; Google links to authoritative explainer content.
  • SEO Insight:
    Content strategies must reflect each platform’s interpretation of intent. For example, creating actionable responses for ChatGPT and comprehensive informational content for Google. This may even mean creating and promoting a useful tool that can surface in ChatGPT.

BrightEdge’s research shows that, for some queries, Google and ChatGPT interpret the same user intent in profoundly different ways. While Google treats action-oriented queries as a prompt to deliver informational content, ChatGPT responds by recommending tools and services users can immediately act on. This divergence calls attention to the need to understand when ChatGPT is delivering actionable responses in order for marketers and content creators to create platform-specific content and web experiences.

Read the original research:

Brand Visibility: ChatGPT and Google AI Approaches by Industry

Featured Image by Shutterstock/wenich_mit

Microsoft Adds Copilot Mode To Edge With Multi-Tab AI Analysis via @sejournal, @MattGSouthern

Microsoft launches Copilot Mode in Edge, introducing multi-tab AI analysis, voice navigation, and more features in development.

  • Copilot Mode brings AI tools to Microsoft’s Edge browser
  • Available tools include multi-tab content analysis, voice navigation, and a unified search/chat interface.
  • Features in development include task execution, topic-based organization, and a persistent AI assistant.
OpenAI Study Mode Brings Guided Learning to ChatGPT via @sejournal, @MattGSouthern

OpenAI has launched a new feature in ChatGPT called Study Mode, offering a step-by-step learning experience designed to guide users through complex topics.

While aimed at students, Study Mode reflects a broader trend in how people use AI tools for information and adapt their search habits.

As more people start using conversational AI tools to seek information, Study Mode could represent the next step of AI-assisted discovery.

A Shift Toward Guided Learning

Activate Study Mode by selecting “Study and learn” from the tools in ChatGPT and ask a question.

Screenshot from: openai.com/index/chatgpt-study-mode/, July 2025.

Instead of giving direct answers, this feature promotes deeper engagement by asking questions, providing hints, and tailoring explanations to meet user needs.

Screenshot from: openai.com/index/chatgpt-study-mode/, July 2025.

Study Mode runs on custom instructions developed with input from teachers and learning experts. The feature incorporates research-based strategies, including:

  • Encouraging people to take part actively
  • Helping manage how much information people can handle
  • Supporting self-awareness and a desire to learn
  • Giving helpful and practical feedback.

Robbie Torney, Senior Director of AI Programs at Common Sense Media, explains:

“Instead of doing the work for them, study mode encourages students to think critically about their learning. Features like these are a positive step toward effective AI use for learning. Even in the AI era, the best learning still happens when students are excited about and actively engaging with the lesson material.”

How It Works

Study Mode adjusts responses based on a user’s skill level and context from prior chats.

Key features include:

  • Interactive Prompts: Socratic questioning and self-reflection prompts promote critical thinking.
  • Scaffolded Responses: Content is broken into manageable segments to maintain clarity.
  • Knowledge Checks: Quizzes and open-ended questions help reinforce understanding.
  • Toggle Functionality: Users can turn Study Mode on or off as needed during a conversation.

Early testers describe it as an on-demand tutor, useful for unpacking dense material or revisiting difficult subjects.

Looking Ahead

Study Mode is now available to logged-in users across Free, Plus, Pro, and Team plans, with ChatGPT Edu support expected in the coming weeks.

OpenAI plans to integrate Study Mode behavior directly into its models after gathering feedback. Future updates may include visual aids, goal tracking, and more personalized support.


Featured Image: Roman Samborskyi/Shutterstock

Google AI Mode Update: File Uploads, Live Video Search, More via @sejournal, @MattGSouthern

Google is expanding AI Mode in Search with new tools that include PDF uploads, persistent planning documents, and real-time video assistance.

The updates begin rolling out today, with the AI Mode button now appearing on the Google homepage for desktop users.

PDF Uploads Now Supported On Desktop

Desktop users can now upload images directly into search queries, a feature previously available only on mobile.

Support for PDFs is coming in the weeks ahead, allowing you to ask questions about uploaded files and receive AI-generated responses based on both document content and relevant web results.

For example, a student could upload lecture slides and use AI Mode to get help understanding the material. Responses include suggested links for deeper exploration.

Image Credit: Google

Google plans to support additional file types and integrate with Google Drive “in the months ahead.”

Canvas: A Tool For Multi-Session Planning

A new AI Mode feature called Canvas can help you stay organized across multiple search sessions.

When you ask AI Mode for help with planning or creating something, you’ll see an option to “Create Canvas.” This opens a dynamic side panel that saves and updates as queries evolve.

Use cases include building study guides, travel itineraries, or task checklists.

Image Credit: Google

Canvas is launching for desktop users in the U.S. enrolled in the AI Mode Labs experiment.

Real-Time Assistance With Search Live

Search Live with video input also launches this week on mobile. This allows you to utilize AI Mode while pointing your phone camera at real-world objects or scenes.

The feature builds on Project Astra and is available through Google Lens. Start by tapping the ‘Live’ icon in the Google app, then engage in back-and-forth conversations with AI Mode using live video as visual context.

Image Credit: Google

Chrome Adds Contextual AI Answers

Lens is getting expanded desktop functionality within Chrome. Soon, you’ll see a “Ask Google about this page” option in the address bar.

When selected, it opens a panel where you can highlight parts of a page, like a diagram or snippet of text, and receive an AI Overview.

This update also allows follow-up questions via AI Mode from within the Lens experience, either through a button labeled “Dive deeper” or by selecting AI Mode directly.

Looking Ahead

These updates reflect Google’s vision of search as a multi-modal, interactive experience rather than a one-off text query.

While most of these tools are limited to U.S.-based Labs users for now, they point to a future where AI Mode becomes central to how searchers explore, learn, and plan.

Rollout timelines vary by feature. So keep a close eye on how these capabilities add to the search experience and consider how to adapt your content strategies accordingly.

Google Explains The Process Of Indexing The Main Content via @sejournal, @martinibuster

Google’s Gary Illyes discussed the concept of “centerpiece content,” how they go about identifying it, and why soft 404s are the most critical error that gets in the way of indexing content. The context of the discussion was the recent Google Search Central Deep Dive event in Asia, as summarized by Kenichi Suzuki.

Main Body Content

According to Gary Illyes, Google goes to great lengths to identify the main content of a web page. The phrase “main content” will be familiar to those who have read Google’s Search Quality Rater Guidelines. The concept of “main content” is first introduced in Part 1 of the guidelines, in a section that teaches how to identify main content, which is followed by a description of main content quality.

The quality guidelines define main content (aka MC) as:

“Main Content is any part of the page that directly helps the page achieve its purpose. MC can be text, images, videos, page features (e.g., calculators, games), and it can be content created by website users, such as videos, reviews, articles, comments posted by users, etc. Tabs on some pages lead to even more information (e.g., customer reviews) and can sometimes be considered part of the MC.

The MC also includes the title at the top of the page (example). Descriptive MC titles allow users to make informed decisions about what pages to visit. Helpful titles summarize the MC on the page.”

Google’s Illyes referred to main content as the centerpiece content, saying that it is used for “ranking and retrieval.” The content in this section of a web page has greater weight than the content in the footer, header, and navigation areas (including sidebar navigation).

Suzuki summarized what Illyes said:

“Google’s systems heavily prioritize the “main content” (which he also calls the “centerpiece”) of a page for ranking and retrieval. Words and phrases located in this area carry significantly more weight than those in headers, footers, or navigation sidebars. To rank for important terms, you must ensure they are featured prominently within the main body of your page.”

Content Location Analysis To Identify Main Content

This part of Illyes’ presentation is important to get right. Gary Illyes said that Google analyzes the rendered web page to located the content so that it can assign the appropriate amount of weight to the words located in the main content.

This isn’t about the identifying the position of keywords in the page. It’s just about identifying the content within a web page.

Here’s what Suzuki transcribed:

“Google performs positional analysis on the rendered page to understand where content is located. It then uses this data to assign an importance score to the words (tokens) on the page. Moving a term from a low-importance area (like a sidebar) to the main content area will directly increase its weight and potential to rank.”

Insight: Semantic HTML is an excellent way to help Google identify the main content and the less important areas. Semantic HTML makes web pages less ambiguous because it uses HTML elements to identify the different areas of a web page, like the top header section, navigational areas, footers, and even to identify advertising and navigational elements that may be embedded within the main content area. This technical SEO process of making a web page less ambiguous is called disambiguation.

3. Tokenization Is Foundation Of Google’s Index

Because of the prevalence of AI technologies today, many SEOs are aware of the concept of tokenization. Google also uses tokenization to convert words and phrases into a machine-readable format for indexing. What gets stored in Google’s index isn’t the original HTML; it’s the tokenized representation of the content.

4. “Soft 404s Are A Critical Error

This part is important because it frames soft 404s as a critical error. Soft 404s are pages that should return a 404 response but instead return a 200 OK response. This can happen when an SEO or publisher redirects a missing web page to the home page in order to conserve their PageRank. Sometimes a missing web page will redirect to an error page that returns a 200 OK response, which is also incorrect.

Many SEOs mistakenly believe that the 404 response code is an error that needs fixing. A 404 is something that needs fixing only if the URL is broken and is supposed to point to a different URL that is live with actual content.

But in the case of a URL for a web page that is gone and is likely never returning because it has not been replaced by other content, a 404 response is the correct one. If the content has been replaced or superseded by another web page, then it’s proper in that case to redirect the old URL to the URL where the replacement content exists.

The point of all this is that, to Google, a soft 404 is a critical error. That means that SEOs who try to fix a non-error event like a 404 response by redirecting the URL to the home page are actually creating a critical error by doing so.

Suzuki noted what Illyes said:

“A page that returns a 200 OK status code but displays an error message or has very thin/empty main content is considered a “soft 404.” Google actively identifies and de-prioritizes these pages as they waste crawl budget and provide a poor user experience. Illyes shared that for years, Google’s own documentation page about soft 404s was flagged as a soft 404 by its own systems and couldn’t be indexed.”

Takeaways

  • Main Content
    Google gives priority to the main content portion of a given web page. Although Gary Illyes didn’t mention it, it may be helpful to use semantic HTML to clearly outline what parts of the page are the main content and which parts are not.
  • Google Tokenizes Content For Indexing
    Google’s use of tokenization enables semantic understanding of queries and content. The importance for SEO is that Google no longer relies heavily on exact-match keywords, which frees publishers and SEOs to focus on writing about topics (not keywords) from the point of view of how they are helpful to users.
  • Soft 404s Are A Critical Error
    Soft 404s are commonly thought of as something to avoid, but they’re not generally understood as a critical error that can negatively impact the crawl budget. This elevates the importance of avoiding soft 404s.

Featured Image by Shutterstock/Krakenimages.com

Google’s Mueller Advises Testing Ecommerce Sites For Agentic AI via @sejournal, @martinibuster

Google’s John Mueller re-posted the results of an experiment that tested if ecommerce sites were accessible by AI Agents, commenting that it may be useful to check if your ecommerce site works for AI agents that are shopping on behalf of actual customers.

AI Agent Experiment On Ecommerce Sites

Malte Polzin posted commentary on LinkedIn on an experiment he did to test if the top 50 Swiss ecommerce sites were open for business for users who are shopping online with ChatGPT agents.

They reported that most of the ecommerce stores were accessible to ChatGPT’s AI agent but he also found some stores were not for a few reasons.

Reasons Why ChatGPT’s AI Agent Couldn’t Shop

  • CAPTCHA prevented ChatGPT’s AI agent from shopping
  • Blocked by Cloudflare’s Turnstile tool that’s a CAPTCHA alternative.
  • Store blocked access with a maintenance page
  • Bot defense blocked access

Google’s John Mueller Offers Advice

Google’s John Mueller recommended checking if your ecommerce store is open for business to shoppers who use AI agents. It may become more commonplace that users employ agentic search for online shopping.

He wrote:

“Pro tip: check your ecommerce site to see if it works for shoppers using the common agents. (Or, if you’d prefer they go elsewhere because you have too much business, maybe don’t.)

Bot-detection sometimes triggers on users with agents, and it can be annoying for them to get through. (Insert philosophical discussion on whether agents are more like bots or more like users, and whether it makes more sense to differentiate by actions rather than user-agent.)”

Should SEOs Add Agentic AI Testing To Site Audits?

SEOs want to consider adding Agentic AI accessibility to their site audits for ecommerce sites. There may be other use cases where an AI agent may need access to filling out forms, for example on a local services website.

Which Marketing Jobs Are Most Affected by AI? via @sejournal, @MattGSouthern

New research from Microsoft reveals that marketing and sales professionals are among the most affected by generative AI, based on an analysis of 200,000 real workplace conversations with Bing Copilot.

The research examined nine months of anonymized data from January to September 2024, offering a large-scale look at how professionals use AI in their daily tasks.

AI’s Role In Marketing & Sales Work

Microsoft calculated an “AI applicability score” to measure how often AI is used to complete or assist with job-related tasks and how effectively it performs those tasks.

Sales representatives received one of the highest scores (0.46), followed closely by customer service representatives (0.44), writers and authors (0.45), and other marketing roles like:

  • Technical Writers (0.38)
  • Public Relations Specialists (0.36)
  • Advertising Sales Agents (0.36)
  • Market Research Analysts (0.35)

Overall, “Sales and Related” occupations ranked highest in AI impact across all major job categories, followed by computing and administrative roles.

As Microsoft researchers note:

“The current capabilities of generative AI align most strongly with knowledge work and communication occupations.”

Tasks Where AI Performs Well

The study found AI is particularly effective at:

  • Gathering information
  • Writing and editing content
  • Communicating information to others
  • Supporting ongoing learning in a specific field

These tasks often show high success and satisfaction rates among users.

However, the study also uncovered that in 40% of conversations, the AI performed tasks different from what the user initially requested. For example, when someone asks for help with research, the AI might instead explain research methods rather than deliver information.

This reflects AI’s role as more of a helper than a replacement. As the researchers put it:

“The AI often acts in a service role to the human as a coach, advisor, or teacher.”

Areas Where Human Strength Excels

Some marketing tasks still show resistance to AI. These include:

  • Visual design and creative work
  • Strategic data analysis
  • Roles that require physical presence or in-person interaction, such as event marketing or client-based sales

These activities consistently scored lower for AI satisfaction and task completion.

Education, Wages & Job Security

The study found a weak correlation between AI impact and wages. The correlation coefficient was 0.07, indicating that AI is reshaping tasks across income levels, not just automating low-paying jobs.

For roles requiring a Bachelor’s degree, the average AI applicability score was slightly higher (0.27), compared to 0.19 for jobs with lower education requirements. This suggests knowledge work may see more AI involvement, but not necessarily replacement.

The researchers caution against assuming automation leads to job loss:

“This would be a mistake, as our data do not include the downstream business impacts of new technology, which are very hard to predict and often counterintuitive.”

What You Can Do

The data supports a clear takeaway: AI is here to stay, but it’s not taking over every aspect of marketing work.

Digital anthropologist Giles Crouch, quoted in coverage of the study, said:

“The conversation has gone from this fear of massive job loss to: How can we get real benefit from these tools? How will it make our work better?”

There are a few ways marketing professionals can adapt, such as:

  • Sharpening skills in areas where AI falls short, such as visual creativity and strategic interpretation
  • Using AI as a productivity booster for content creation and information gathering
  • Positioning themselves as AI collaborators rather than competitors

Looking Ahead

AI is reshaping marketing by changing how work gets done, not by eliminating roles.

As with past technological changes, those who adapt and integrate these tools into their workflow may find themselves better positioned for long-term success.

The full report includes a detailed breakdown of occupations and task types across the U.S. workforce.


Featured Image: Roman Samborskyi/Shutterstock

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