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Is Google’s MUM A Search Ranking Factor?

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Is Google’s MUM A Search Ranking Factor?

At Google I/O earlier last year, Google announced that it’s exploring a new technology called MUM (Multitask Unified Model) internally to help its ranking systems better understand language.

Dubbed “a new AI milestone for understanding information,” MUM is designed to make it easier for Google to answer complex needs in search.

Google promised MUM is 1,000 times more powerful than its NLP transfer learning predecessor, BERT.

It uses a model called T5, the Text-To-Text Transfer Transformer, to reframe NLP tasks into a unified text-to-text format and develop a more comprehensive understanding of knowledge and information.

According to Google, MUM can be applied to document summarization, question answering, and classification tasks such as sentiment analysis.

Clearly, MUM is a major priority inside the Googleplex – and something that important to the search team had better on the SEO industry’s radar, as well.

But is it a ranking factor in Google’s search algorithms?

The Claim: MUM As A Ranking Factor

Many who read the news about MUM when it was first revealed naturally wondered how it might impact search rankings (especially their own).

Google makes thousands of updates to its ranking algorithms each year and while the vast majority go unnoticed, some are impactful.

BERT is one such example.

Rolled out worldwide in 2019, it was hailed the most important update in five years by Google itself.

And sure enough, BERT impacted about 10% of search queries.

RankBrain, rolled out in the spring of 2015, is another example of an algorithmic update that had a substantial impact on the SERPs.

Now that Google is talking about MUM, it’s clear that SEO professionals and the clients they serve should take note.

Roger Montti recently wrote about a patent he believes could provide more insight into MUM’s inner workings.

That makes for an interesting read if you want to take a peek at what may be under the hood.

For now, let’s just consider whether MUM is a ranking factor.

The Evidence For MUM As A Ranking Factor

When RankBrain rolled out, it wasn’t announced until some six months afterward. And most updates aren’t announced or confirmed at all.

However, Google has gotten better at sharing impactful updates before they happen.

For example, BERT was first announced in November 2018, rolled out for English-language queries in October 2019, and rolled out worldwide later that year, in December.

We had even more time to prepare for the Page Experience signal and Core Web Vitals, which were announced over a year ahead of the eventual rollout in June 2021.

Google has already said MUM is coming and it’s going to be a big deal.

But could MUM be responsible for a rankings drop many sites experienced in the spring and summer of 2021?

The Evidence Against MUM As A Ranking Factor

In his May 2021 introduction to MUM, Pandu Nayak, Google Fellow and Vice President of Search, made it clear that technology isn’t in play. Not yet, anyway:

“Today’s search engines aren’t quite sophisticated enough to answer the way an expert would. But with a new technology called Multitask Unified Model, or MUM, we’re getting closer to helping you with these types of complex needs. So in the future, you’ll need fewer searches to get things done.”

The timeline given then as to when MUM-powered features and updates would go live was “in the coming months and years.”

When asked whether the industry would get a heads up when MUM goes live in search, Google Search Liaison Danny Sullivan said yes.

More recently, Nayak explained how Google is using AI in Search and wrote,

“While we’re still in the early days of tapping into MUM’s potential, we’ve already used it to improve searches for COVID-19 vaccine information, and we’ll offer more intuitive ways to search using a combination of both text and images in Google Lens in the coming months.

These are very specialized applications — so MUM is not currently used to help rank and improve the quality of search results like RankBrain, neural matching and BERT systems do.”

He also added that any future applications of MUM will be subjected to a rigorous evaluation process including paying special attention to the responsible usage of AI.

MUM As A Ranking Factor: Our Verdict

Bottom line: Google doesn’t use MUM as a search ranking signal. It’s a language AI model built on Google’s open source neural network architecture, Transformer.

Google will train MUM as it did BERT on large datasets, then fine-tune it for specific applications on smaller datasets. This is what it’s testing with MUM’s use for improving vaccine search results.

Google has mentioned specific ways in which it may be used in the (near) future, including:

  • Surfacing insights based on its deep knowledge of the world.
  • Surfacing helpful subtopics for deeper exploration.
  • Breaking down language barriers by transferring knowledge across languages.
  • Simultaneously understanding information from different formats like webpages, pictures and more.

How will you optimize for MUM?

That remains to be seen.

What is for sure: Google search’s intelligence is growing by leaps and bounds.

As Google’s search algorithms become more sophisticated and better able to determine the intent and nuance of language, attempts at trickery and manipulation will be less and less effective (and likely easier to detect).

With an NLP technology 1000x more powerful than RankBrain on the horizon, optimizing for human experience is more important than ever.

If you want to get ahead of MUM, focus on what the content you’re creating means for the people whose needs it is intended to meet.

The machines are inching ever closer to fully and completely experiencing that content as your intended reader/viewer does.


Featured Image: Paulo Bobita/Search Engine Journal




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Google Cautions On Blocking GoogleOther Bot

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Google cautions about blocking and opting out of getting crawled by the GoogleOther crawler

Google’s Gary Illyes answered a question about the non-search features that the GoogleOther crawler supports, then added a caution about the consequences of blocking GoogleOther.

What Is GoogleOther?

GoogleOther is a generic crawler created by Google for the various purposes that fall outside of those of bots that specialize for Search, Ads, Video, Images, News, Desktop and Mobile. It can be used by internal teams at Google for research and development in relation to various products.

The official description of GoogleOther is:

“GoogleOther is the generic crawler that may be used by various product teams for fetching publicly accessible content from sites. For example, it may be used for one-off crawls for internal research and development.”

Something that may be surprising is that there are actually three kinds of GoogleOther crawlers.

Three Kinds Of GoogleOther Crawlers

  1. GoogleOther
    Generic crawler for public URLs
  2. GoogleOther-Image
    Optimized to crawl public image URLs
  3. GoogleOther-Video
    Optimized to crawl public video URLs

All three GoogleOther crawlers can be used for research and development purposes. That’s just one purpose that Google publicly acknowledges that all three versions of GoogleOther could be used for.

What Non-Search Features Does GoogleOther Support?

Google doesn’t say what specific non-search features GoogleOther supports, probably because it doesn’t really “support” a specific feature. It exists for research and development crawling which could be in support of a new product or an improvement in a current product, it’s a highly open and generic purpose.

This is the question asked that Gary narrated:

“What non-search features does GoogleOther crawling support?”

Gary Illyes answered:

“This is a very topical question, and I think it is a very good question. Besides what’s in the public I don’t have more to share.

GoogleOther is the generic crawler that may be used by various product teams for fetching publicly accessible content from sites. For example, it may be used for one-off crawls for internal research and development.

Historically Googlebot was used for this, but that kind of makes things murky and less transparent, so we launched GoogleOther so you have better controls over what your site is crawled for.

That said GoogleOther is not tied to a single product, so opting out of GoogleOther crawling might affect a wide range of things across the Google universe; alas, not Search, search is only Googlebot.”

It Might Affect A Wide Range Of Things

Gary is clear that blocking GoogleOther wouldn’t have an affect on Google Search because Googlebot is the crawler used for indexing content. So if blocking any of the three versions of GoogleOther is something a site owner wants to do, then it should be okay to do that without a negative effect on search rankings.

But Gary also cautioned about the outcome that blocking GoogleOther, saying that it would have an effect on other products and services across Google. He didn’t state which other products it could affect nor did he elaborate on the pros or cons of blocking GoogleOther.

Pros And Cons Of Blocking GoogleOther

Whether or not to block GoogleOther doesn’t necessarily have a straightforward answer. There are several considerations to whether doing that makes sense.

Pros

Inclusion in research for a future Google product that’s related to search (maps, shopping, images, a new feature in search) could be useful. It might be helpful to have a site included in that kind of research because it might be used for testing something good for a site and be one of the few sites chosen to test a feature that could increase earnings for a site.

Another consideration is that blocking GoogleOther to save on server resources is not necessarily a valid reason because GoogleOther doesn’t seem to crawl so often that it makes a noticeable impact.

If blocking Google from using site content for AI is a concern then blocking GoogleOther will have no impact on that at all. GoogleOther has nothing to do with crawling for Google Gemini apps or Vertex AI, including any future products that will be used for training associated language models. The bot for that specific use case is Google-Extended.

Cons

On the other hand it might not be helpful to allow GoogleOther if it’s being used to test something related to fighting spam and there’s something the site has to hide.

It’s possible that a site owner might not want to participate if GoogleOther comes crawling for market research or for training machine learning models (for internal purposes) that are unrelated to public-facing products like Gemini and Vertex.

Allowing GoogleOther to crawl a site for unknown purposes is like giving Google a blank check to use your site data in any way they see fit outside of training public-facing LLMs or purposes related to named bots like GoogleBot.

Takeaway

Should you block GoogleOther? It’s a coin toss. There are possible potential benefits but in general there isn’t enough information to make an informed decision.

Listen to the Google SEO Office Hours podcast at the 1:30 minute mark:

Featured Image by Shutterstock/Cast Of Thousands

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AI Search Boosts User Satisfaction

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AI chat robot on search engine bar. Artificial intelligence bot innovation technology answer question with smart solution. 3D vector created from graphic software.

A new study finds that despite concerns about AI in online services, users are more satisfied with search engines and social media platforms than before.

The American Customer Satisfaction Index (ACSI) conducted its annual survey of search and social media users, finding that satisfaction has either held steady or improved.

This comes at a time when major tech companies are heavily investing in AI to enhance their services.

Search Engine Satisfaction Holds Strong

Google, Bing, and other search engines have rapidly integrated AI features into their platforms over the past year. While critics have raised concerns about potential negative impacts, the ACSI study suggests users are responding positively.

Google maintains its position as the most satisfying search engine with an ACSI score of 81, up 1% from last year. Users particularly appreciate its AI-powered features.

Interestingly, Bing and Yahoo! have seen notable improvements in user satisfaction, notching 3% gains to reach scores of 77 and 76, respectively. These are their highest ACSI scores in over a decade, likely due to their AI enhancements launched in 2023.

The study hints at the potential of new AI-enabled search functionality to drive further improvements in the customer experience. Bing has seen its market share improve by small but notable margins, rising from 6.35% in the first quarter of 2023 to 7.87% in Q1 2024.

Customer Experience Improvements

The ACSI study shows improvements across nearly all benchmarks of the customer experience for search engines. Notable areas of improvement include:

  • Ease of navigation
  • Ease of using the site on different devices
  • Loading speed performance and reliability
  • Variety of services and information
  • Freshness of content

These improvements suggest that AI enhancements positively impact various aspects of the search experience.

Social Media Sees Modest Gains

For the third year in a row, user satisfaction with social media platforms is on the rise, increasing 1% to an ACSI score of 74.

TikTok has emerged as the new industry leader among major sites, edging past YouTube with a score of 78. This underscores the platform’s effective use of AI-driven content recommendations.

Meta’s Facebook and Instagram have also seen significant improvements in user satisfaction, showing 3-point gains. While Facebook remains near the bottom of the industry at 69, Instagram’s score of 76 puts it within striking distance of the leaders.

Challenges Remain

Despite improvements, the study highlights ongoing privacy and advertising challenges for search engines and social media platforms. Privacy ratings for search engines remain relatively low but steady at 79, while social media platforms score even lower at 73.

Advertising experiences emerge as a key differentiator between higher- and lower-satisfaction brands, particularly in social media. New ACSI benchmarks reveal user concerns about advertising content’s trustworthiness and personal relevance.

Why This Matters For SEO Professionals

This study provides an independent perspective on how users are responding to the AI push in online services. For SEO professionals, these findings suggest that:

  1. AI-enhanced search features resonate with users, potentially changing search behavior and expectations.
  2. The improving satisfaction with alternative search engines like Bing may lead to a more diverse search landscape.
  3. The continued importance of factors like content freshness and site performance in user satisfaction aligns with long-standing SEO best practices.

As AI becomes more integrated into our online experiences, SEO strategies may need to adapt to changing user preferences.


Featured Image: kate3155/Shutterstock

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Google To Upgrade All Retailers To New Merchant Center By September

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Google To Upgrade All Retailers To New Merchant Center By September

Google has announced plans to transition all retailers to its updated Merchant Center platform by September.

This move will affect e-commerce businesses globally and comes ahead of the holiday shopping season.

The Merchant Center is a tool for online retailers to manage how their products appear across Google’s shopping services.

Key Changes & Features

The new Merchant Center includes several significant updates.

Product Studio

An AI-powered tool for content creation. Google reports that 80% of current users view it as improving efficiency.

This feature allows retailers to generate tailored product assets, animate still images, and modify existing product images to match brand aesthetics.

It also simplifies tasks like background removal and image resolution enhancement.

Centralized Analytics

A new tab consolidating various business insights, including pricing data and competitive analysis tools.

Retailers can access pricing recommendations, competitive visibility reports, and retail-specific search trends, enabling them to make data-driven decisions and capitalize on popular product categories.

Redesigned Navigation

Google claims the new interface is more intuitive and cites increased setup success rates for new merchants.

The platform now offers simplified website verification processes and can pre-populate product information during setup.

Initial User Response

According to Google, early adopters have shown increased engagement with the platform.

The company reports a 25% increase in omnichannel merchants adding product offers in the new system. However, these figures have yet to be independently verified.

Jeff Harrell, Google’s Senior Director of Merchant Shopping, states in an announcement:

“We’ve seen a significant increase in retention and engagement among existing online merchants who have moved to the new Merchant Center.”

Potential Challenges and Support

While Google emphasizes the upgrade’s benefits, some retailers, particularly those comfortable with the current version, may face challenges adapting to the new system.

The upgrade’s mandatory nature could raise concerns among users who prefer the existing interface or have integrated workflows based on the current system.

To address these concerns, Google has stated that it will provide resources and support to help with the transition. This includes tutorial videos, detailed documentation, and access to customer support teams for troubleshooting.

Industry Context

This update comes as e-commerce platforms evolve, with major players like Amazon and Shopify enhancing their seller tools. Google’s move is part of broader efforts to maintain competitiveness in the e-commerce services sector.

The upgrade could impact consumers by improving product listings and providing more accurate information across Google’s shopping services.

For the e-commerce industry as a whole, it signals a continued push towards AI-driven tools and data-centric decision-making.

Transition Timeline

Google states that retailers will be automatically upgraded by September if they still need to transition.

The company advises users to familiarize themselves with the new features before the busy holiday shopping period.


Featured Image: BestForBest/Shutterstock

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