SEO
12 AI Overviews From SGE

Google began rolling out the new Google Search Generative Experience (SGE) to people on the Search Labs waitlist.
SGE adds generative AI capabilities to Google Search results. Here’s a look inside the SGE on desktop and mobile and how SGE results compare to typical Google SERP features.
How To Get Access To Google SGE Via Search Labs
To access SGE and other experimental features, you must sign up for the Search Labs waitlist.
SGE features will be available in Google Chrome for desktop users and in the Google app for iOS and Android users.
Watch for an email from Google or a notification from the Google app welcoming you to Search Labs.
Once you receive your welcome, you can find SGE on the Search Labs page and other new experimental features like Code Tips and Add To Sheets.




Note that Add to Sheets is not available for mobile users in the Google app.
SGE For Desktop & Mobile Users
Here’s a look at Google with SGE enabled in Google Chrome on a desktop. You can see AI conversation prompts below the search bar.




SGE in the Google app on mobile offers a similar option, labeled Converse, below the search bar. This leads to a screen with prompts to start your SGE conversation.




Now, let’s look at Google SGE responses compared to standard Google SERP features.
1. SGE For SERPs With FAQ, People Also Ask, & Knowledge Panel Features
First, I tried a simple question: What is Google Bard?
Google SGE provided an answer using six sources to answer the question. Five of the six sources about Google Bard were from publishers, while one was an official Google Bard Help page.




You can toggle the viewing option at the top right of the AI result to see which sources are used to craft the summary.




Beneath the generative AI response, you can see the standard Google search results appear with organic search results, people also ask, and a knowledge panel.
While you may have access to the Add to Sheets feature in Search Labs, it only appears on organic search results – not the AI-powered answer.




Add to Sheets simply adds the search result to an existing or new Google Sheet.
In the Google app with SGE, you can see a variation of the generative AI response, followed by the knowledge panel, people also ask, and organic search results.




In this example, you can see that the sources chosen by SGE do not always match the top organic search results.
2. SGE For SERPs With The Local Pack Feature
Next, I asked about the top Italian restaurants in Phoenix,
Google SGE provided an answer similar to the local pack.




The top three restaurants the generative AI chose slightly differed from those shown in the local pack on the desktop browser.




The generative AI response on mobile provided the same restaurants as the local pack, followed by the usual local pack and organic search results.




3. SGE For SERPs With Sitelinks
For this one, I searched for Semrush, which usually includes sitelinks, people also ask, and a knowledge panel.
In this instance, Google asked if I wanted to “Get an AI-powered overview for this search?”




SGE provided the following answer using third-party sources about Semrush after I clicked on Generate.




The generative AI provided a similar response in the Google app after asking if I wanted the AI results.




4. SGE For SERPs With Shopping & Reviews
Are you looking for a 4k camcorder under $500? Here are the shopping results with reviews provided by SGE, which include advice on what to look for in a camcorder.




Standard SERPs only show where to buy a camcorder that fits your search query, followed by shopping results with reviews.




On mobile, SGE generates advice and a lot of suggestions on what camcorders to purchase before showing organic search results.




5. SGE For SERPs With Product Details & Store Listings
When inquiring about a specific feature of a product, SGE can give you precise details, followed by reviews and the best purchasing options.




Typical search results would focus on content from the brand, followed by people also ask and organic search results.




The mobile SGE response also includes a list of stores before returning to the official website in organic search results.




6. SGE For SERPs With Sponsored Ads & Featured Snippets
For a broad search on link building, SGE offers a definition based on six sources about the topic.




Google SERPs would typically show several sponsored results from Google advertisers, followed by a featured snippet, people also ask, and organic search results.




The generative AI response from the Google app was similar, although it used eight sources instead of just six.




7. SGE For News And Top Stories
When searching for the latest AI news, SGE pulls from the five most recent news sources.




Google SERPs, on the other hand, typically display seven of the top headlines related to the search query.




On mobile, SGE serves up six of the most recent new sources, followed by a different selection from the news and top stories results.




8. SGE For SERPs With Images
If you want a new pack of social media logos for your website, you must be more specific about SGE. Its response is the definition of social media logos from articles around the web.




Standard Google search results begin with image results from websites that offer social media logo packs and the ability to filter image results by criteria such as a transparent background.




The generative AI provides a similar definition and guidelines for using social media logos on mobile, followed by images, people also ask, and organic search results.




9. SGE For SERPs With Video
Do you need to fix a broken pair of glasses? SGE offers advice from three sources.




Without SGE, Google offers several videos with key moments to choose from based on the part of the repair you need assistance with, followed by people also ask, more YouTube videos, and organic search results.
The Google app offers AI-powered advice, followed by a featured snippet, people also ask, organic search results, and videos.




10. SGE For SERPs With Events
Want to see what events are coming up in your area? This SGE response for upcoming events in San Francisco offers a long list of suggestions from five sources.




Google search results commonly provide the following list of events in calendar format.




The SGE experience on mobile offers a similar list of events with more sources, followed by the events list calendar and organic search results.




11. SGE With Code Tips
Some queries, such as this for a Python SEO function, will result in a response from Code Tips if enabled in Search Labs.




Generative AI offers an immediate solution. Typical Google search results would give you links to find similar solutions.




The Google app will also provide Code Tips for mobile users, followed by people also ask and organic search results.




12. SGE For Unavailable Queries
Some search queries will (ironically) result in the message, “An AI-powered overview is not available for this search.”




Initial Observations About The Search Labs Preview Of Google SGE
Google seems to be placing publishers first in its new generative AI search experience.
Most AI-powered overviews included information from three to five publisher websites instead of the official website or social profiles for the topic at hand. While this could help increase traffic for publishers, it may decrease traffic for brand-owned properties.
When a generative AI response appears in search results on a desktop or mobile device, it pushes SERP features like featured snippets, images, videos, people also ask, knowledge panels, and organic search results below the fold.
While some SGE answers seemed to provide less value than typical SERP features, it’s important to remember that this is just the beginning of the future of AI search.
Featured image: 13_Phunkod/Shutterstock
SEO
Google Enhances Bard’s Reasoning Skills


Google’s language model, Bard, is receiving a significant update today that aims to improve its logic and reasoning capabilities.
Jack Krawczyk, the Product Lead for Bard, and Amarnag Subramanya, the Vice President of Engineering for Bard, announced in a blog post.
A Leap Forward In Reasoning & Math
These updates aim to improve Bard’s ability to tackle mathematical tasks, answer coding questions, and handle string manipulation prompts.
To achieve this, the developers incorporate “implicit code execution.” This new method allows Bard to detect computational prompts and run code in the background, enabling it to respond more accurately to complex tasks.
“As a result, it can respond more accurately to mathematical tasks, coding questions and string manipulation prompts,” the Google team shared in the announcement.
System 1 and System 2 Thinking: A Blend of Intuition and Logic
The approach used in the update takes inspiration from the well-studied dichotomy in human intelligence, as covered in Daniel Kahneman’s book, “Thinking, Fast and Slow.”
The concept of “System 1” and “System 2” thinking is central to Bard’s improved capabilities.
System 1 is fast, intuitive, and effortless, akin to a jazz musician improvising on the spot.
System 2, however, is slow, deliberate, and effortful, comparable to carrying out long division or learning to play an instrument.
Large Language Models (LLMs), such as Bard, have typically operated under System 1, generating text quickly but without deep thought.
Traditional computation aligns more with System 2, being formulaic and inflexible yet capable of producing impressive results when correctly executed.
“LLMs can be thought of as operating purely under System 1 — producing text quickly but without deep thought,” according to the blog post. However, “with this latest update, we’ve combined the capabilities of both LLMs (System 1) and traditional code (System 2) to help improve accuracy in Bard’s responses.”
A Step Closer To Improved AI Capabilities
The new updates represent a significant step forward in the AI language model field, enhancing Bard’s capabilities to provide more accurate responses.
However, the team acknowledges that there’s still room for improvement:
“Even with these improvements, Bard won’t always get it right… this improved ability to respond with structured, logic-driven capabilities is an important step toward making Bard even more helpful.”
While the improvements are noteworthy, they present potential limitations and challenges.
It’s plausible that Bard may not always generate the correct code or include the executed code in its response.
There could also be scenarios where Bard might not generate code at all. Further, the effectiveness of the “implicit code execution” could depend on the complexity of the task.
In Summary
As Bard integrates more advanced reasoning capabilities, users can look forward to more accurate, helpful, and intuitive AI assistance.
However, all AI technology has limitations and drawbacks.
As with any tool, consider approaching it with a balanced perspective, understanding the capabilities and challenges.
Featured Image: Amir Sajjad/Shutterstock
SEO
Microsoft Advertising Boosts Analytics & Global Reach In June Update


Microsoft Advertising details several important updates and expansions in its June product roundup.
The new tools and features aim to enhance website performance analytics, improve cross-device conversion tracking, expand into new global markets, and integrate more seamlessly with other platforms.
Introducing Universal Event Tracking Insights
This month’s standout news is the introduction of Universal Event Tracking (UET) insights, a feature that gives advertisers a deeper understanding of their website’s performance.
The new feature requires no additional coding and will enhance the capabilities of existing UET tags.
“We’re introducing UET insights, a valuable new feature that we’ll add to your existing UET tags with no additional coding required from you. You’ll get a deeper understanding of your website’s performance and also enable Microsoft Advertising to optimize your ad performance more effectively via improved targeting, fraud detection, and reduced conversion loss.”
The new insights tool will roll out automatically starting July 3.
Cross-Device Conversion Attribution Update
Microsoft Advertising is introducing a cross-device attribution model later this month.
This update will enable advertisers to track and connect customers’ conversion journeys across multiple devices and sessions.
Microsoft explains the new feature in a blog article: “For example, if a user clicks on an ad using their laptop but converts on their phone, we’ll now credit that conversion to the initial ad click on the laptop.”
While the update doesn’t introduce new features or settings, advertisers may notice a slight increase in the number of conversions due to improved accuracy.
Expanding to New Markets
In line with its expansion push throughout 2022, Microsoft Advertising announces it’s expanding its advertising reach to 23 new markets.
The new additions include diverse locations ranging from Antigua and Barbuda to Wallis and Futuna.
This expansion allows advertisers to reach their audiences in more parts of the world.
Seamless Integration With Pinterest & Dynamic Remarketing
Microsoft Advertising is releasing Pinterest Import in all markets via the Microsoft Audience Network (MSAN), allowing advertisers to import campaigns from Pinterest Ads.
Further, Dynamic remarketing on MSAN for Autos, Events & Travel is now available in the US, Canada, and the UK.
The remarketing tool enables advertisers to use their feeds to create rich ad experiences on the Microsoft Audience Network and match their target audience with items in their feed where they’ve shown interest.
In Summary
Key takeaways from the June product roundup include the automatic rollout of UET Insights starting July 3, introducing a new cross-device attribution model, expanding into 23 new global markets, and enhanced integration with Pinterest via the Microsoft Audience Network.
These developments collectively offer advertisers increased insight into campaign performance, improved accuracy in conversion tracking, and more opportunities to reach audiences worldwide.
Source: Microsoft
Featured Image: PixieMe/Shutterstock
SEO
Apple Safari 17’s Hidden Gems: JPEG XL & Font-Size-Adjust


Apple’s recently announced Safari 17 brings several key updates that promise to enhance user experience and web page loading times.
Unveiled at the annual Worldwide Developers Conference (WWDC23), two new features of Safari 17 worth paying attention to are JPEG XL support and expanded capabilities of font-size-adjust.
As Safari continues to evolve, these updates highlight the ever-changing landscape of web development and the importance of adaptability.
JPEG XL: A Game Changer For Page Speed Optimization
One of the most noteworthy features of Safari 17 is its support for JPEG XL, a new image format that balances image quality and file size.
JPEG XL allows for the recompression of existing JPEG files without any data loss while significantly reducing their size—by up to 60%.
Page loading speed is a crucial factor that search engines consider when ranking websites. With JPEG XL, publishers can drastically reduce the file size of images on their sites, potentially leading to faster page loads.
Additionally, the support for progressive loading in JPEG XL means users can start viewing images before the entire file is downloaded, improving the user experience on slower connections.
This benefits websites targeting regions with slower internet speeds, enhancing user experience and potentially reducing bounce rates.
Font Size Adjust: Improving User Experience & Consistency
Safari 17 expands the capabilities of font-size-adjust
, a CSS property that ensures the visual size of different fonts remains consistent across all possible combinations of fallback fonts.
By allowing developers to pull the sizing metric from the main font and apply it to all fonts, the from-font
value can help websites maintain a consistent visual aesthetic, which is critical for user experience.
Conversely, the two-value syntax provides more flexibility in adjusting different font metrics, supporting a broader range of languages and design choices.
Websites with consistent and clear text display, irrespective of the font in use, will likely provide a better user experience. A better experience could lead to longer visits and higher engagement.
Reimagining SEO Strategies With Safari 17
Given these developments, SEO professionals may need to adjust their strategies to leverage the capabilities of Safari 17 fully.
This could involve:
- Image Optimization: With support for JPEG XL, SEO professionals might need to consider reformatting their website images to this new format.
- Website Design: The expanded capabilities of
font-size-adjust
could require rethinking design strategies. Consistent font sizes across different languages and devices can improve CLS, one of Google’s core web vitals. - Performance Tracking: SEO professionals will need to closely monitor the impact of these changes on website performance metrics once the new version of Safari rolls out.
In Summary
Apple’s Safari 17 brings new features that provide opportunities to improve several website performance factors crucial for SEO.
Detailed documentation on these Safari 17 updates is available on the official WebKit blog for those interested in delving deeper into these features.
Featured Image: PixieMe/Shutterstock
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