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Twitter’s Title Replaced in Google Search Results

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Google mysteriously began showing the wrong result for Twitter on Thursday December 6, 2018. Multiple theories on why immediately popped up. The real reason turned out to be surprising and also led to even more questions.

Google Shows Wrong Title for Twitter

Screenshot of Google's search result for the phrase, Twitter.Google shows the wrong title for Twitter. It is showing the title for a Twitter account that does not belong to Twitter.

I discovered this earlier in the day and didn’t think about it until I saw a tweet by Bill Hartzer (@bhartzer) about it on Twitter, where he asked,

“Why is Google showing a random Twitter account in the SERPS for Twitter?”

  • The most immediate suspect was that a rogue hacker had hijacked Twitter and was redirecting it.
  • Another theory pointed the finger at Google, that it was Google’s fault.

Google’s become so complex, it wasn’t entirely unreasonable to assume that Google was the culprit. Google accidentally removed an entire website from the index just a few days ago.

When you searched for the ReallySlowMotion Twitter account, here is what Google showed:

Screenshot of a Google's search resultsA search for the music related Twitter account showed Twitter’s home page as the URL

Who was to blame?

Ex-Googler Pedro Dias (@pedrodias) suggested the culprit might be canonicals. In the world of SEO, canonicals are like the butlers in those mystery novels who always seem suspicious.

Pedro tweeted,

“Probably, for some reason Google chose that url as canonical for Twitter root URL.”

Cache Adds to the Mystery

Then another clue made the whole mystery clear as mud.

When you clicked to view Google’s cache in the rogue search result for Twitter, an entirely different Twitter account showed up.

Screenshot of Google's cache for Twitter

Then Martin MacDonald (@searchmartin) stepped in. He managed to view a version of Twitter without JavaScript enabled, a version that Google may have seen.

I’m not sure how he did it because Twitter tried to redirect me to a legacy version of Twitter when I tried to view Twitter with JavaScript disabled.

Here’s what Martin tweeted:

“The canonical, on the non JS enabled version of the desktop twitter homepage (that took a while to actually get to) points at the wrong page for some reason.”

And there you have it! The answer may be that Twitter is showing the wrong canonical.

But does that solve the mystery? Seems like that answer leads to more questions!

  • How did that wrong canonical end up on Twitter’s home page?
  • Was Twitter hacked?
  • Was it an innocent mistake?

What has been suggested is that Twitter’s canonical tag is incorrect.  How that happened is a mystery.

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Google Search Console unparsable structured data report data issue

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Google has informed us that you may see a spike in errors in the unparsable structured data report within Google Search Console. This is a bug in the reporting system and you do not need to worry. The issue happened between January 13, 2020 and January 16, 2020.

The bug. Google wrote on the data anomalies page “Some users may see a spike in unparsable structured data errors. This was due to an internal misconfiguration that will be fixed soon, and can be ignored.” This was dated January 13, 2020 through January 16, 2020.

To be fixed. Google said they will fix the issue with the internal misconfiguration. It is, however, unclear if the data will be fixed or if you will see a spike in those errors between those date ranges.

Unparsable structured data report. The unparsable structured data report is accessible within Google Search Console by clicking here. The report aggregates structured data syntax errors. It puts all the parsing issues, including structured data syntax errors, that specifically prevented Google from identifying the feature type.

Why we care. The main thing here is that if you see a spike in errors in that report between January 13th and 16th, do not worry. It is a bug with the report and not an issue with your web site. Go back to the report in a few days and make sure that you do not see errors occurring after the 17th of January to be sure you have no technical issues.


About The Author

Barry Schwartz a Contributing Editor to Search Engine Land and a member of the programming team for SMX events. He owns RustyBrick, a NY based web consulting firm. He also runs Search Engine Roundtable, a popular search blog on very advanced SEM topics. Barry’s personal blog is named Cartoon Barry and he can be followed on Twitter here.



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Google rolls out organic ‘Popular Products’ listings in mobile search results

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Several years ago now, Google made the significant move to turn product search listings into an entirely paid product. Shopping campaigns, as they’re now called, have accounted for an increasing share of retail search budgets ever since. More recently, however, Google has been augmenting organic search results with product listings. It’s in a product search battle with Amazon, after all. On Thursday, the company announced the official rollout of “Popular Products” for apparel, shoe and similar searches in mobile results.

Organic product listings. Google has been experimenting with ways to surface product listings in organic search results, including Popular Products, which has been spotted for several months now. The section is powered by those organic feeds. Google says it identifies popular products from merchants to show them in a single spot, allowing users to filter by style, department and size type. The listings link to the retailers’ websites.

Popular Products is now live in Google mobile search results.

Why we care. This is part of a broader effort by Google to enhance product search experiences as it faces increasing competition from Amazon and other marketplaces as well as social platforms. Earlier this week, Google announced it has acquired Pointy, a hardware solution for capturing product and inventory data from small local merchants that can then be used in search results (and ads).

In the past few years, Google has also prompted retailers to adopt product schema markup on their sites by adding support for it in Search and Image search results. Then last spring, Google opened up Merchant Center to all retailers, regardless if they were running Shopping campaigns. Any retailer can submit their feed in real-time to Google to make their products eligible in search results.

Ad revenue was certainly at the heart of the shift to paid product listings, but prior to the move, product search on Google was often a terrible user experience with search listings often not matching what was on the landing page, from availability to pricing to even the very product. The move to a paid solution imposed quality standards that forced merchants to clean up their product data and provide it to Google in a structured manner in the form of product feeds through Google Merchant Center.


About The Author

Ginny Marvin is Third Door Media’s Editor-in-Chief, running the day to day editorial operations across all publications and overseeing paid media coverage. Ginny Marvin writes about paid digital advertising and analytics news and trends for Search Engine Land, Marketing Land and MarTech Today. With more than 15 years of marketing experience, Ginny has held both in-house and agency management positions. She can be found on Twitter as @ginnymarvin.



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Google buys Pointy to bring SMB store inventory online

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Google is acquiring Irish startup Pointy, the companies announced Tuesday. Pointy has solved a problem that vexed startups for more than a decade: how to bring small, independent retailer inventory online.

The terms of the deal were not disclosed, but Pointy had raised less than $20 million so it probably wasn’t an expensive buy for Google. But it could have a significant impact for the future of product search.

Complements local inventory feeds. This acquisition will help Google offer more local inventory data in Google My Business (GMB) listings, knowledge panels and ads especially. It complements Google Shopping Campaigns’ local inventory ads, which are largely utilized by enterprise merchants and first launched in 2013.

Numerous companies over the last decade tried to solve the challenge of how to bring small business product inventory online. However, most failed because the majority of SMB retailers lack sophisticated inventory management systems that can generate product feeds and integrate with APIs.

Pointy POS hardware

Source: Pointy

How Pointy works. The company created a simple way to get local store inventory online and then showcase that inventory in organic search results or paid search ads. It utilizes a low-cost hardware device that attaches to a point-of-sale barcode scanner (see image above). It’s compatible with multiple other POS systems, including Square.

Once the device is installed, it captures every product sold by the merchant and then creates a digital record of products, which can be pushed out in paid or organic results. (The company also helps small retailers set up local inventory ads using the data.) Pointy also creates local inventory pages for each store and product, which are optimized and can rank for product searches.

Pointy doesn’t actually understand real-time inventory. Cleverly, however, it uses machine learning algorithms to estimate this by measuring product purchase frequency. The system assumes local retailers are going to stock frequently purchased items. That’s an oversimplification, but is essentially how it works.

Pointy said it a blog post that it “serve[s] local retailers in almost every city and every town in the U.S. and throughout Ireland.”

Why we care. The Pointy acquisition will likely help Google in at least three ways:

  • Provide more structured, local inventory data for consumers to find in Search.
  • Generate more advertising revenue over time from independent retailers.
  • Help Google more effectively compete with Amazon in product search.

Notwithstanding the fact that e-commerce outperformed traditional retail over the holidays, most people spend the bulk of their shopping budgets offline and prefer to shop locally. Indeed, Generation Z prefers to shop in stores, according to an A.T. Kearney survey.

One of the reasons that people shop at Amazon is because they can find products they’re looking for. They often don’t know where to find a particular product locally. But if more inventory data becomes available, the more people may opt to buy from local stores instead.


About The Author

Greg Sterling is a Contributing Editor at Search Engine Land. He writes about the connections between digital and offline commerce. He previously held leadership roles at LSA, The Kelsey Group and TechTV. Follow him Twitter or find him on LinkedIn.



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