SearchCap: Report Google autocompletes, Bing iOS app and weather results
Below is what happened in search today, as reported on Search Engine Land and from other places across the web.
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Please visit Searc…
Bing refreshes weather search results with interactive slider to see forecasts throughout the day
Snowbirds can also get quick results for snow conditions at U.S. ski resorts.
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Google is testing a new way to report offensive Autocomplete suggestions
Feedback tool is currently in limited testing, but company hopes to launch it worldwide soon.
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Update: Brands saw bigger search lifts from releasing ads early online than actual Super Bowl ads
Game day ads drove incremental lifts in branded search for CPG, almost none for B2B brands, Quantcast data show.
The post Update: Brands saw bigger search lifts from releasing ads early online than actual Super Bowl ads appeared first on Search Engine…
Bing updates iOS search app with new ways to create video lists & find homes for sale
With the new 6.11 version of Bing’s iOS search app, results for a “homes for sale + zip code” query returns real estate listings for specified zip codes.
The post Bing updates iOS search app with new ways to create video lists & find homes for sale appeared first on Search Engine Land.
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Survey: Alexa the most frequently used assistant, Cortana seen as most accurate
Nearly 60 percent used voice because it was faster or easier than typing.
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Google Expanding Carousel Layout for “Best” Keywords
Over the past year we’ve seen Google expanding their carousel layout and experimenting with new UI for SERPs (see Dr Pete’s helpful mega-guide to the SERP layout), last week we saw some new layouts around filtering and today we’re noticing an expanded rollout across some commercial keywords that will dramatically impact user behaviour.
Cool tricks to explore Google’s Knowledge Graph results, featuring Donald Trump
Whether you want to gain some insight into how Google’s Knowledge Graph works or just want to prank your friends, columnist Tony Edward shows some cool tricks for changing up the SERP display with URL modifiers.
The post Cool tricks to explore Google’s Knowledge Graph results, featuring…
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Local SEO in 2017: 5 simple ways to dominate local search
New to local search? Wondering where to start? Columnist Sherry Bonelli offers five tactics to help you kick off your local SEO campaign.
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Google AdWords Retiring Converted Clicks In March
In July, we reported that converted clicks is retiring on September 21, 2016 but Google extended that to next month. Google posted a reminder on Google+ saying converted clicks is being retired next month, in March 2017…
Don’t Email Gary Illyes For Google Search Support
Gary Illyes from Google, one of the webmaster trends analysts that is incredibly helpful to webmasters and SEO, said on Twitter this morning that it is best not to email him for advice or help. Why…
Google Data Studio Integrates With Google Search Console
Google announced on the Google Analytics blog that Google Data Studio, Google’s free toolset to build custom reports, now has a connector with Google Search Console.
Google added a new “Data Studio connector for Search Console…
Google Lists Top Websites In Carousel User Interface
Last week we reported on a new user interface rollout by Google showing a top carousel filter to help you expand or diversify your search query.
Well…
AdWords Converted Clicks sunsets for good in March
The old metric will vanish completely as Conversions measurement fully takes over.
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What’s been going on with Google’s mobile indexing?
Back in October, Google announced the impending rollout of a mobile-first search index which has had SEOs scrambling to prepare their businesses. Some strange behaviour over the past few days indicates that we may be approaching a launch.
Is my website over-optimized?
Optimizing sites for search engines is something we do every day. Of course, we practice what we preach! But, now and then, we encounter websites that have gone a little bit overboard in their optimization strategies. What is the difference between SEO and over-optimization? And, how do you recognize an over-optimized website? In this post, […]
A Guide to JSON-LD for Beginners
Posted by alexis-sanders
What is JSON-LD?
JSON-LD stands for JavaScript Object Notation for Linked Data, which consists of multi-dimensional arrays (think: list of attribute-value pairs).
It is an implementation format for structuring data analogous to Microdata and RDFa. Typically, in terms of SEO, JSON-LD is implemented leveraging the Schema.org vocabulary, a joint effort by Google, Bing, Yahoo!, and Yandex in 2011 to create a unified structured data vocabulary for the web. (However, Bing and other search engines have not officially stated their support of JSON-LD implementations of Schema.org.)
JSON-LD is considered to be simpler to implement, due to the ability to simply paste the markup within the HTML document, versus having to wrap the markup around HTML elements (as one would do with Microdata).
What does JSON-LD do?
JSON-LD annotates elements on a page, structuring the data, which can then be used by search engines to disambiguate elements and establish facts surrounding entities, which is then associated with creating a more organized, better web overall.

Figure 1 – A conceptual visualization of JSON-LD taking the unstructured content on the web, annotating, and structuring the content to create an organized, structured result.
Where in the HTML (for a webpage) does JSON-LD live?
Google recommends adding JSON-LD to the <head> section of the HTML document; however, it’s okay if the JSON-LD is within the <body> section. Google can also grasp dynamically generated tags in the DOM.
JSON-LD breakdown
The immutable tags (Think: You don’t need to memorize these, just copy/paste)
<script type=”application/ld+json”> {
When you see JSON-LD, the first think you should always see is a <script> tag. The <script> tag with a type attribute says, “Hey browser, I’m calling the JavaScript that contains JSON-LD.”
![]() |
Pro Tip: Close every tag you open when you open it. Think: The salt goes with the pepper, and opening braces come with a closing brace. |
Note: If your JSON-LD isn’t in the curly braces, it isn’t being parsed (i.e., curl it up).

“@context”: “http://schema.org”,
The second element that retains a permanent place in JSON-LD markup is the @context with the value of http://schema.org. The @context says, “Hey browser, this is the vocabulary I’m referencing. You can find it at http://schema.org.” The benefit for an SEO is that we get to use any of the item types and item properties that Schema.org defines.

Additionally, you’re probably noticing that cute, eyelash-like comma at the end of the statement. Commas mean “There’s more. Don’t stop parsing the data.”
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Pro Tip: Mind your commas (and always check in Google’s Structured Data Testing Tool). Commas are a traditional sore-spot for many programmers and JSON-LD offers no solace here. Missed commas mean invalid markup. |
“@Type”: “…”,
The final element in the JSON-LD Schema copy/paste squad is the @type specification (after the colon, it becomes all data annotation). @type specifies the item type being marked up. You can find a comprehensive list of all item types at: https://schema.org/docs/full.html.
In the example below, the @type says, “Hey, I’m using the Person item type (You can find it at http://schema.org/Person).” Indeed, if you type the URL into the browser, the item type’s documentation and technical specifications should appear, including any item properties (and often some example use cases).

@type for nesting: When you use a nested item type, you’re going to need to nest another @type (this is particularly important to understanding product and breadcrumb markups).
Attribute-value pairs
The next step is to annotate information about the item type. You can find item properties within the item type’s Schema.org page.
In terms of the syntax of JSON-LD, there are two important elements for each item property:
- Item Property – This comes from the Schema.org vocabulary and should always be in double straight quotation marks (it may sound pedantic here, but for real the curly and single quotation marks are different and will interfere with validation), and must belong to the properties allowed within the item type (as specified within Schema.org).
- Value – You insert your value here for the property. It’s vital the value aligns with the property and is singular (i.e., each value must be annotated separately. In the situation of multiple values for an item property, use square brackets). Strings (characters) and URLs need the “double straight quotation marks.” Numbers, integers, floats, or doubles (for the programming inclined) alone don’t need quotation marks, but it’s also okay to put them into quotations (this just means they’ll be considered a string data type).

Square brackets
Square brackets exist for situations where there are multiple values for an item property. A common use is leveraging the sameAs item property as using [square brackets] for listing multiple social media platforms.
The square brackets below are saying, “There are multiple values for this item type; Jason Derulo has two given names.”


Note: There is no comma after the last element in the square brackets. This indicates that there is no more information within the square brackets.
Nesting
Nesting is defined as where information is organized in layers, or where objects contain other objects. The image of a nesting doll is a common analogy, where large dolls contain smaller dolls within them, as a relational data organization visual.

Figure 2 – Image source
Nest is a vital aspect for accurately marking up Schema.org JSON-LD, because you’re going to have certain item properties that belong to item types that do not belong to others. For example, below we can see the item property “name” can refer to the event name, the name of the performer, and the name of the venue. The name of the performer and venue are both nested.
Match the correct name item properties to the appropriate item type:

Nesting in JSON-LD starts with the item property. Within the first item type (ex. Movie) you must first use the item property (ex. actor, director, image). That item property is identified and then we must open curly brackets with the new item type (as indicated by the “@type”:) and attribute/value data.
JSON-LD nesting checklist:
- Must use the item property (specific to the item type)
- The value lives in curly braces
- You MUST identify the item type of that property
- Attribute/value properties must be included (typically there are requirements for what needs to be included)
- No comma before the closing curly bracket
- Comma after closing curly bracket if there are more item properties (if not, it’ll be followed by a curly brace)
![]() |
Pro Tip: Indent nested elements for readability. |
Common use: Within the Product item type markup, Price is nested within an Offer item type and ratings are also nested!

Pitfalls
If your markup isn’t validating in Google’s Structured Data Testing Tool and you’re unsure of what’s going on, check this list. Below are some major pitfalls in creating JSON-LD structured data markup.
- Syntax
- “” are not the same as “” (curly versus straight; the struggle is real)
- Mind your commas
- Especially note the Structured Data Testing Tool’s little red “x” on the left-hand rail. Oftentimes the “x” will appear below a missing or extraneous comma
- Vocabulary
- Pay attention to required/allowed properties within each Schema.org’s item type specification page
- Always check in Google’s Structured Data Testing Tool
- Policy Violation
- All annotated information must be on the page; adding information that is not on the page will likely not show in search results and is against Google guidelines
- It is also against the rules to engage in manipulative practices (not a pitfall I’m worried about for you!)
- Check/review Google’s Structured Data Policies
- Microsoft (sorry Bill, I’m still a huge fan!)
- Copy/paste from Word/Excel can create issues (added quotation marks, added style formatting)
- Microsoft switches “” to “”
- Solution: use an HTML editor
Process of adding JSON-LD to site
The process of creating JSON-LD structured data markup is dependent on one’s comfort with the Schema.org vocabulary and the JSON-LD syntax. Below outlines a process for a person newer to JSON-LD and Schema.org to create markups, while developing a deeper understanding of the vocabulary.
- Mentally answer:
- What do you want to mark up?
- Goal: Determine that you can mark up the content with the Schema.org vocabulary. Some things may make sense conceptually, but are not available within the vocabulary.
- Why do you want to mark it up?
- Goal: Determine whether there is a business case, or perhaps you’re looking to experiment. You don’t want to mark content up just for the sake of marking them up; you want to mark up content that will help search engines understand the most vital information on your page and maximize your ability to demonstrate that you are the best resource for users.
- Look for resources on markups Google is supporting, how they are using them, and examples.
- What do you want to mark up?
- If you’re using a markup that Google is explicitly using (i.e., resources on Google), open the specific documentation page and any relevant examples
- Don’t feel like you have to create JSON-LD markup from scratch. Use Google’s examples to reverse-engineer your markups. (This isn’t to take away from your understanding of JSON-LD and the Schema.org vocabulary; however, no need to reinvent the wheel! #efficiency ☺).
- Open up the Schema.org item type page
- Especially when you’re starting off with Schema.org, skimming the Schema.org technical documentation page to get a gist of what the item type entails, how many sites are using this markup, and its various properties can facilitate a better understanding as you continue along your structured data journey. After a while, this step might become necessary only when attempting a new markup or looking for a corner case.
- Copy/paste the immutable elements (i.e., from <script to “@type”:)
- Save yourself time and mental energy. Another possibility here is to reverse-engineer an existing example, in which case these element should be present.
- Occasionally in Google’s examples they’ll leave out the <script> tags, but please note that they are vital for the content within the HTML document. JavaScript can’t be parsed without <script> tags.
- Add desired item type you’re interested in marking up as the value of @type:
- List item properties and values
- This step doesn’t require syntax and is more of a mental organization exercise. Concentrate on what you want to markup — don’t worry about the nitty-gritty yet. Basically, you want to get out your thoughts before you start diving into the “how.”
- Often times you may have ideas about what you want to mark up, but may not necessarily know if it’s possible within the vocabulary or how it’s nested.
- Add JSON-LD syntax, nesting where required/appropriate
- The nitty-gritty step where you put everything into the syntax, nest it, and put markup together.
- Test with the Structured Data Testing Tool
- Confirm that the structured data is validating and that all item properties are listed and accurate.
- Determine strategy for adding to the webpage
- You can simply paste one markup into the <head> section or if a more dynamic/templated solution is applicable. Work with your dev team to get information on the page.
- Consider whether reference IDs can help supplement your markup (here’s a great Moz article on great Moz article on ItemID and ItemRef here and great Moz article on ItemID and ItemRef here here)
What have your experiences been so far with JSON-LD? Please share your questions and thoughts in the comments!
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[Webinar] Creative is Complicated: Tips for better brand/agency collaboration
We all know the creative process is challenging. Its non-linear nature often causes frustration, delays, unplanned expenses and burned-out creative teams. Join brand expert Lesya Lysyj and Hightail’s Chief Operating Officer Mike Trigg as they explore the hidden costs of a broken creative process…
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Google Data Studio now connects to Search Console
Build more flexible reports and combine Search Console data with other data sources.
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