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Google’s Interesting Finds SERP Feature Goes Missing From The Search Results

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Google's Interesting Finds SERP Feature Goes Missing From The Search Results

It seems that Google’s Interesting Finds feature has been removed from the mobile search results. I’m not sure when it was removed exactly, but the removal could have happened a while ago. I realized this while analyzing the SERPs for several clients that once had a number of listings ranking in the Interesting Finds feature. After noticing the removal of the module, it hit me that I haven’t seen Interesting Finds in some time…

To refresh your memory, Interesting Finds was a powerful mobile SERP feature that provided a three-pack of listings. You could also click to reveal up to twenty additional listings from the default Interesting Finds module. It could even sometimes rank number one in the mobile search results and could enable sites to double dip in the SERPs by yielding the same listing multiple times for a query (once in the module and once outside the module). I covered Interesting Finds heavily in my Search Engine Land post about the feature.

This is important to understand since it could be impacting traffic from Google for sites that used to rank well in Interesting Finds. Again, sites could double dip when a url ranked in the Interesting Finds module (ranking in the module and outside the module in the top 10). Just a heads-up to check your reporting for queries that yielded Interesting Finds to see the impact.

What Took Its Place?
While analyzing the SERPs for the queries that previously yielded Interesting Finds, I’m seeing several other SERP features instead. For example, Visual Stories (Web Stories), Short Videos, Google’s new grid layout (which combines linking to Google images and third-party sites), organic product listings, “Found on the web“, etc.

Here are some examples of what Interesting Finds looked like in the past and then some of the features I see now:

Before:

After Interesting Finds was removed:

Before:

After Interesting Finds was removed:

Before:

After Interesting Finds was removed:

I will ping Google to see if they can provide more information about why the feature isn’t showing up in the mobile SERPs anymore. I’ll update this post with any information I receive.

Forum discussion at Twitter.

This is a rare contributed article by Glenn Gabe, an SEO Consultant at G-Squared Interactive focused on major Google algorithm updates and other disturbances in the SEO force.



Source: www.seroundtable.com

SEARCHENGINES

Google Revamps The Canonicalization Search Help Documentation

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Google Cluster Grapes

Google has updated its search help documentation around canonicalization this morning. The Google Search Relations team split in three distinct sections and updated a lot of the content to provide clearer details around how Google Search and canonicalization works.

The three sections include:

All of this use to be on a single help page, which you can review on the Wayback Machine over here to compare.

With this, Gary Illyes from Google dropped another LinkedIn tip on the topic of canonicalization, he wrote:

Friday ramble: you can stack canonicalization signals to strengthen that hint.

You have a rel=canonical pointing from A to B, but A is HTTPS, it’s in your hreflang clusters, all your links are pointing to A, and A is included in your sitemaps instead of B. Which one should search engines pick as canonical, A or B?

If you just change the URLs from A to B in your sitemaps and hreflang clusters, combined with that rel=canonical it might already be enough to tip over canonicalization to B. Change the links also, and you have an even greater chance to convince search engines about your canonical preference.

Recently, Gary also mentioned to use absoluate URLs for rel-canonical.

So check out these new docs and learn a bit more on canonicalization and Google Search.

Forum discussion at LinkedIn.

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Microsoft Bing’s New BingBot Now Fully Live Today

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Bingbot

As a reminder, since April, Bing has been slowly testing a new BingBot user agent, slowly rolling it out to more percentages of crawls over the year. It should have rolled out to 100% of all crawls last month. But now Fabrice Canel said this week that it is near 100%, and an announcement is coming sometime today from Microsoft.

Fabrice Canel from Microsoft Bing wrote on Twitter, “We are near 100% and are proactively monitoring and rolling back any website having issues. Stay tuned for more communication Friday.”

Initially, Bing said it would be rolled out by Fall 2022, then January 2023. Maybe today is the day?

Here has been the rollout so far:

  • April 2022: Less than 5% of crawls
  • July 2022: 5% of all crawls
  • September 2022: 20% of all crawls
  • October 2022: 50% of all crawls
  • February 2023: New 100% of all crawls

Let’s see what Fabrice announces today.

Forum discussion at Twitter.

Update: Confirmed, it is fully live according to Fabrice on LinkedIn.



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Google’s CEO Sundar Pichai Confirms New Chat Based Search Feature

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Google mobile phone texting

Last night I reported on Search Engine Land, based on the Google earnings report and earnings call, that Google’s CEO Sundar Pichai has confirmed the search company will release a chat based search feature based on its own AI, LaMDA, in the coming weeks and months. Plus, there is a big new search event this Wednesday – so maybe we will hear about it there?

Yes, the other day we reported about Apprentice Bard, the reports of Google’s ChatGPT answer to OpenAI and Microsoft Bing.

Here is what Sundar said on the call:

Sundar Pichai said, “In the coming weeks and months, we’ll make these language models available, starting with LaMDA, so that people can engage directly with them. This will help us continue to get feedback, test, and safely improve them. These models are particularly amazing for composing, constructing, and summarizing. They will become even more useful for people as they provide up-to-date more factual information.”

Sundar Pichai said that he “first spoke about Google being an AI-first company” more than “six years ago.” “We have been preparing for this moment since early last year, and you’re going to see a lot from us in the coming few months across three big areas of opportunity; first, large models. We published extensively about LaMDA and PoN, the industry’s largest, most sophisticated model plus extensive work at DeepMind,” he continued to say.

During the question and answer period, Sundar added “We’ll be launching — we’ll — more as labs products in certain cases, beta features in certain cases and just slowly scaling up from there. Obviously, we need to make sure we’re iterating in public, these models will keep getting better, so the field is fast changing. The serving costs will need to be improved.”

“So I view it as very, very early days, but we are committed to putting our experiences, both in terms of new products and experiences, actually bringing direct LLM experiences in Search, making APIs available for developers and enterprises and learn from there and iterate like we’ve always done. So I’m looking forward to it,” he added.

Sundar goes on to add, “In terms of Search too, now that we can integrate more direct LLM type experiences in Search, I think it will help us expand and serve new types of use cases, generative use cases. And so I think I see this as a chance to rethink and re-imagine and drive Search to solve more use cases for our users as well. So again, early days, you will see us be bold, put things out, get feedback and iterate and make things better.”

Here is the event live stream on Wednesday:

Everyone is so ChatGPT crazed!

Forum discussion at Twitter.



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