I recently discovered that Google has made some updates to their JavaScript SEO basics documentation. This change has brought clarity to how Google’s crawler deals with noindex tags on pages utilizing JavaScript. The main takeaway? If you’re aiming to have your page indexed, definitely avoid including a noindex tag in the original page code.
What’s New: Google has adjusted this section to specify that when Google encounters a noindex tag, it may bypass rendering and executing JavaScript. Consequently, efforts to modify or remove the robots meta tag using JavaScript might not yield the desired results. So, if indexing is a goal, keep the noindex tag out of the original code.
Previously, the guidelines indicated a certain certainty: if a noindex tag was detected, Google skipped rendering and executing any JavaScript. This meant any attempts to counter this with JavaScript adjustments would simply not work. The advice stood firm—keep noindex tags out of the original code if there’s any chance you need the page indexed.
Reason for Change: Google clarified that while it can render pages employing JavaScript, this behavior is not consistently defined and is subject to change. If there’s any chance you want your page to show up in search, play it safe and leave out the noindex tag from the original code.
Why This Matters: It’s often safer to steer clear of JavaScript when setting crucial protocols, especially concerning the blocking of Googlebot or other crawlers. If you need a search engine not to rank a particular page, avoid using JavaScript to execute those directives.
In recent developments, I discovered that Google has announced updates to its AI Mode link features and expanded the Web Guide test to the ‘all’ tab on the search interface.
I noticed that Google is actively improving links within AI Mode to make searchers more inclined to click. They’ve now expanded the Web Guides labs test into the all tab, though participation still requires opting into the experiment.
Links in AI Mode. Robby Stein, Google’s VP of Product for Search, shared that they’re increasing the number of inline links in AI Mode and refining their design to enhance usability. Google has been experimenting with inline links and contextual links, and now some of these user experiences are officially rolling out. Stein had mentioned back in August that these features would see the light, and here they are.
Additionally, Google’s adding contextual introductions to the embedded links in AI Mode responses. These brief statements help you understand why a particular link could be beneficial to explore.
Here’s a visual representation:
Expanding Web Guide to all tab. Google first introduced its Web Guide within the ‘web’ tab for those participating in the experiment. Now, this feature is accessible through the ‘all’ tab of Google Search, still requiring experiment opt-in.
According to Google’s statement, “We’ve heard positive feedback from users and websites about Web Guide, as it helps in discovering new links and uses AI to organize these links into helpful topic groups.”
Google also says they’ve optimized Web Guide to be twice as fast, adding to its efficiency.
What is Web Guide. As per Google’s explanation, Web Guide groups web links in useful manners. This allows pages related to specific facets of your query to be compartmentalized effectively.
“Web Guide utilizes a custom version of Gemini to better interpret both search queries and web content, enhancing its ability to bring up pages you might not have found before,” Google explained to me.
Additionally, Web Guide employs a query fan-out technique, similar to AI Mode, which launches multiple related searches at once to deliver more relevant results.
Why it matters. The enhancement of link engagement through Google’s AI features like AI Mode and AI Overviews is a positive move. I hope this leads to boosted traffic for publishers and website owners.
Web Guide is also a feature that’s gaining appreciation in the search marketing realm. I’m hopeful that Google can eventually offer this experience without needing opt-ins via the Search Labs.
I just heard some exciting news from Google! They’re expanding their Preferred Sources feature globally, after previously rolling it out in the US and India. But that’s not all—Google has announced a new feature called Spotlighting subscriptions, which will emphasize links from my news subscriptions in Gemini, and eventually, it will be integrated into Google Search through AI Overviews and AI Mode.
When it comes to Preferred Sources, it allows me to star sources in Google Search’s Top Stories section. This means Google will prioritize showing me more stories from those sources I’ve starred. It was first in beta last June, launched in the US and India last August, and now it’s going global!
According to Robby Stein, VP of Product at Google Search, “We’re now launching this feature globally: in the coming days, it will be available for English-language users worldwide, and we’ll roll it out to all supported languages early next year.” He also mentioned that people like me have chosen nearly 90,000 unique sources, ranging from local blogs to global news outlets.
Google shared that when I select a preferred source, I tend to click on that site twice as often on average.
So how does it work? All I have to do is click the star icon next to the Top Stories header in search results. If the site has fresh content, I can then pick it as a preferred source. Google will then display more of the latest news from those sites directly in Top Stories. This happens when those sites have relevant new articles or posts related to what I’m searching for.
Next up, let’s talk about Spotlighting subscriptions. Google is making it easier for me to notice content from my trusted subscriptions by showcasing these links prominently. It’s designed to ensure I get more value from these subscriptions by prioritizing them in a special carousel format.
This feature will launch in Gemini first, with AI Overviews and AI Mode following soon after.
Why do I care about all of this? Preferred sources in Top Stories offer a great opportunity for driving traffic to publishers. If I can encourage my loyal readers to select my site as a preferred source, it could significantly bump up my site’s traffic.
In conclusion, these enhancements from Google could offer me and the publishing community more avenues for boosting traffic and potentially increasing revenue.
I’m thrilled about the latest update from Google Search Console, which now offers both weekly and monthly views in their performance reports. This change allows me to dive deeper into the data, providing a more detailed analysis beyond the usual 24-hour view.
What it looks like. At the recent Google Search Central event in Zurich, I snapped some photos of the announcement. It was a fantastic experience to see these changes unveiled in real-time.
Why we care. These updates, though small, are invaluable for SEOs, publishers, and site owners like me. The granular data now available helps me investigate changes in performance more effectively, whether it’s over a specific month, week, or day.
As I dive into articles on Google Discover, I’ve noticed Google encouraging the use of AI Mode. This isn’t just specific to articles on Discover; it applies to any webpage I’m viewing through the Google Android app.
I’ve observed that Google is integrating AI Mode features into Google Discover. These features allow me to summarize, ask follow-up questions, and explore more deeply into topics once I’ve started reading a story. It’s intriguing to see how Google is keen on directing users into this AI-driven environment.
Specifically, I’ve learned that this isn’t limited just to Google Discover. It’s also available on the Google App for Android, offering AI Mode options for any page I visit.
How it works. Once I click into an article from the Discover feed, there’s a menu with options after tapping the three dots at the top right corner. These include:
Summarize with AI Mode
Ask a follow-up with AI Mode
Dive deeper with AI Mode
Damien (adell) shared a video on X showcasing these features in action. Here’s a screenshot from the video, along with the embedded video itself:
AI Mode in Google Discover/Google App offers three options when visiting a URL via the Discover feed with Chrome.
Why we care. It’s clear that Google is determined to steer users towards Google Discover. It does so by leading them from various entry points like Google Search, AI Overviews, and more. After I’ve been directed to a site, Google then enables me to utilize AI Mode to access a sophisticated, AI-enhanced version of the article.
Lately, I’ve noticed an intriguing change on the Google homepage. You can now upload a file or an image directly into the search bar, and it thrusts you straight into AI Mode. It’s a fascinating shift from the usual image search results via Google Lens.
This development steers us away from traditional search experiences towards a more captivating AI-driven interaction. When you upload an item, you’re directly immersed in AI Mode rather than sifting through Google Search with mere image results.
What it looks like. Check out a brief video I created to illustrate the flow of using this feature:
More AI Mode. Google is clearly nudging us towards their AI Mode innovations. They’ve even started integrating AI Mode within the Chrome omnibox, and the tab is always strategically placed on the left. It feels inevitable that AI Mode might soon become the default Google search interface.
In the past, we speculated about Google’s transition to fully adopting AI Mode as the default experience. Although Google dismissed these claims initially, current trends suggest they’re moving in that direction.
Why we care. As users, adjusting to AI Mode is crucial for setting the right expectations. AI Mode offers a distinct experience compared to traditional search results, potentially impacting how frequently users click on search outcomes.
It’s essential to assess how well you’re positioned within AI Mode and prepare for its different interaction style compared to customary Google Search.
After only releasing in the U.S. a few weeks ago, I’m excited to share that Gemini 3 is now available in 120 countries worldwide for English searches.
Gemini 3 launched in AI Mode recently, and now it’s thrilling to see Google expanding it to numerous countries and territories. Robby Stein from Google mentioned, “Gemini 3 is now accessible in AI Mode, covering nearly 120 regions in English.”
Exploring AI Mode with Gemini 3. Google has introduced AI Mode in Search, which employs Gemini 3 to deliver new, dynamic UI experiences. Imagine immersive visual layouts and interactive tools generated instantly based on your search query!
With its capability for complex reasoning, Gemini 3 enhances Search by providing dynamic experiences designed to make our searches more intuitive and engaging.
Just last week, Google started automatically using Gemini 3 for selected AI Mode queries, marking a new era for search intelligence.
This expansion presently caters exclusively to Google AI Pro and Ultra subscribers, offering them a more interactive and enriched search experience.
Google explains, “With this expansion, it’s now simpler to pose any question and quickly gain a deeper, more useful understanding.”
Update on Nano Banana Pro. Google is also introducing the “latest generative imagery model, Nano Banana Pro, to AI Mode in additional English-speaking countries, making it available today for Google AI Pro and Ultra subscribers.”
Why This Matters. Google’s continuous updates, both in terms of visuals and user experience, aim to make AI Mode the search experience Google envisions. As Google’s efforts to entice users into AI Mode continue, it’s clear they’re committed to refining that experience to meet their high standards.
Recently, I’ve noticed that Google is testing new ways to push us from AI Overviews into their AI Mode interface on Search. When I click the “Show more” button in some AI Overviews, I’m automatically taken into AI Mode. It’s fascinating because I can continue to explore deeper into topics directly within this interface, enhancing my search experience.
Insight From Google. Robby Stein from Google recently announced that this testing is taking place on a global scale. As I use my mobile device, I can easily delve deeper into AI Mode without leaving the search results page. This seamless integration is designed to enhance how we interact with AI-driven search features.
There’s even a video that showcases how this works, sourced directly from Robby Stein’s announcement:
(2/2) This means you’ll continue to get an AI Overview as a helpful starting point, and now you can also ask conversational follow-up questions in AI Mode – right from where you are.
It’s one seamless experience: a quick snapshot when you need it, and deeper conversation when…
Previous trials. It’s intriguing to me that Google has been experimenting with this since October 2025. The frequent tests likely suggest they’re moving toward a full rollout. This makes me optimistic about how this feature might evolve over time.
The potential downside. I am concerned that fewer people might click through to external sites from Google Search AI Overviews. Instead of providing expanded links and resources, the “Show more” button directs users to a detailed AI response, potentially reducing the traffic to our websites.
Our focus. It’s crucial for us to stay informed about these tests and prepare for any potential impacts on our web traffic. This change might make it more challenging to generate visits from Google Search, affecting the overall visibility of our content and websites.
I’ve recently encountered an issue with Google Search Console that’s affecting many of us in the SEO community. The index coverage report, also known as the page indexing report, is experiencing delays of about two weeks. It’s important to note that while this impacts reporting, it doesn’t affect the actual crawling, indexing, or ranking of websites.
The page indexing report is crucial for me as it shows the pages Google can find and index on my site. It alerts me to any indexing problems encountered, and I can submit fixes to see if my resolutions are recognized by Google. Given the current delay, I won’t know if my fixes have worked until the report updates.
Here’s a screenshot of my report, last updated on November 17th, although some users are seeing updates as late as the 18th. You can check out the screenshot here.
In a statement on LinkedIn, Google confirmed the issue, saying:
“FYI – Page indexing report delays We’re currently experiencing longer than usual delays in the Search Console Index Coverage report. This only affects reporting, not crawling, indexing, or ranking of websites. We’ll update here once this issue is resolved. Thanks for your patience!”
This delay is particularly inconvenient as I prepare client reports at the beginning of each month. While I anticipate the report will catch up soon, it does mean delaying my own reporting to clients and stakeholders. Until then, it’s good to remember that this is just a reporting glitch.
If you’re curious about how search engines deliver precise information, let me introduce you to the Google Knowledge Graph. This technology, first introduced in 2012, has revolutionized the way we access data online. It transforms Google’s capability by turning its search engine into an interconnected web of knowledge, going beyond simple keyword matching. I want to take you on a journey to explore what the Knowledge Graph is, how it operates, and its vast impact on search and beyond.
The core of the Google Knowledge Graph is a colossal database mapping real-world entities and their relationships. Imagine a digital encyclopedia where information is not just archived as text but connected in a network of nodes. Each of these nodes represents entities like “Albert Einstein” or “Theory of Relativity,” while the edges define their relationships, such as “developed” or “born in.” This setup empowers Google to deliver more intuitive and context-aware search results.
For instance, when I search for “Leonardo da Vinci,” the Knowledge Graph presents a Knowledge Panel that summarizes key details about him, such as his birth, death, and iconic works like the Mona Lisa. This is because the Graph smartly links Leonardo to relevant entities like “Renaissance” and “Florence.”
The functioning of the Knowledge Graph hinges on a blend of data sources and complex algorithms. Google harnesses data from renowned sources like Wikipedia and Wikidata, alongside other licensed materials. It then employs natural language processing and machine learning to discern entities, their attributes, and relationships from unstructured web data.
Here’s how it works in three simple steps:
Entity Extraction: Identifying and classifying nouns such as people and places in the text.
Relationship Mapping: Understanding connections between entities, like “Barack Obama” being “President of” the “United States.”
Knowledge Integration: Continuously updating the Graph with new data to maintain accuracy.
This sophisticated structure enables direct answers to questions. If I type “Who founded Microsoft?”, it swiftly responds with “Bill Gates and Paul Allen,” thanks to the Graph’s linked entities.
The Knowledge Graph has truly transformed search, making it more user-focused and semantic. Before its existence, Google primarily relied on keyword matches, often resulting in irrelevant results when queries were vague. Now, I can see how it interprets user intent. So, whether I’m searching “jaguar” for an animal, car brand, or football team, the Knowledge Graph prioritizes results based on context clues like my location or previous searches.
Knowledge Panels are one of the most visible outcomes, providing concise information without necessitating multiple website visits. The Graph also facilitates features like “People Also Ask” and related suggestions, predicting follow-up queries. For businesses and individuals, appearing in the Knowledge Graph boosts authority and visibility.
Beyond mere search functionality, the Knowledge Graph extends its reach into Google Maps by linking locations to businesses, powers Google Assistant in answering voice queries, and even enhances YouTube by suggesting related content. Its ability to structure data is impactful in industries like e-commerce and healthcare, where understanding relationships can enhance recommendations and aid diagnostics, respectively.
As I look to the future, the Knowledge Graph’s sophistication is poised to grow with AI breakthroughs. Google’s continual improvements in processing complex queries and integrating real-time data promise even more personalized and predictive user experiences.
In conclusion, the Google Knowledge Graph forms the bedrock of modern search by enhancing how information is accessed. By understanding entities and their complex interconnections, it equips us with smarter, faster, and more relevant information. Whether you’re a curious individual or a business striving to optimize your presence online, the Knowledge Graph is an influential force shaping our digital interactions. Its evolution holds the promise of making our tech interactions more seamless and insightful.
Inspired by this post on AnswerEngineOptimization.blog.
