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Long-tail vs. Short-tail Keywords: What’s the Difference?

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Long-tail vs. Short-tail Keywords: What's the Difference?

The difference between long-tail and short-tail keywords comes down to popularity. Many people search for short-tail keywords, while few search for long-tail keywords.

Long-tail vs. short-tail keywords

Because of that, long-tail keywords are generally easier to rank for and tend to attract searchers with more specific intent. This has made targeting them a widely adopted SEO tactic. 

So should you follow suit and prioritize long-tail keywords at all times? 

But first, why are they called that?

It’s not about how many words they contain or how specific they are. 

Short- and long-tail keywords got their respective names from the position on the “search demand” curve. 

If we take all search queries that people have performed in Google in the course of a month and order them by their search volumes, it’ll look somewhat like this:

The search demand curve.

As you can see, long-tail keywords are literally in the “long tail” of this graph. It’s because they are less popular (but not “worse”) variations of the short-tail keywords/head terms on the “fat head” of the curve. 

By the way, there are two types of long-tail keywords you should know.

Supporting long-tail keywords

Supporting long-tail keywords are less popular variations of more popular search queries. They are basically broader topics in disguise. 

To illustrate, while some people will search for “bedroom furniture chests”… 

Supporting long-tail keyword example.

… the majority of people will look for the same thing using simply “dressers”:

Topical long-tail keyword example.

As you can see, despite having dramatically different search volumes, those keywords have virtually the same Keyword Difficulty (KD) scores. That’s one of the main reasons why using supporting long-tail keywords as primary keywords may not be the best idea. 

So in most cases, you should probably avoid supporting long-tail keywords and focus instead on the other type: topical long-tail keywords. 

Topical long-tail keywords 

Topical long-tail keywords are the most popular way to look for a given topic. In other words, they are topics in themselves and not some other topics in disguise.

To tell if you’re dealing with topical or supporting long-tail keywords, you can do two things:

  • Google the term and see what the top-ranking pages talk about
  • Use the Parent Topic feature in Ahrefs’ Keywords Explorer – If the keyword is the same as the Parent Topic, you’re dealing with a topical keyword. Technically, the Parent Topic is the most popular keyword that the top-ranking page ranks for. 
Keyword matching the parent topic
The keyword is the same as the Parent Topic = the keyword is topical.

It’s good to know whether your keyword is topical. Because if you manage to rank for it, you’ll likely rank for the less popular supporting long-tail. 

SERP comparison in Ahrefs.
If we compare “apartment living room furniture” (supporting) with “apartment furniture” (topical), we’ll see seven common results in the SERP.
Topical vs. supporting long-tail keywords

Learn more: Long-tail Keywords: What They Are and How to Get Search Traffic From Them 

Which are better: long-tail or short-tail keywords?

Both keyword types have their pros and cons. 

Short-tail keywords will have a lot of competition, but it’s not impossible to outrank pages in the top 10. 

It may take years (yes) of fine-tuning your content and years of building links. 

But once you finally get there:

  • You’ll get serious traffic from the head term and relevant long-tail keywords.
  • Chances are you’ve amassed some good backlinks if you’re ranking high for these keywords. You can then use internal links from that page to boost other pages.
Ranking #1 for head term makes content rank for relevant short-tail keywords too.
Our article ranking #1 for “seo tools” ranks in the top 10 for 240 other keywords.

As for long-tail keywords, they’re great for other reasons. In most cases:

  • They’re less competitive. 
  • There are lots of them.
  • They are usually specific; you can attract visitors with specific intent.

On the flip side, you will need to rank for a lot of them to get a large volume of traffic. But as long as these keywords are good for your business, that traffic may be very valuable. 

Case in point: left-handed nail scissors. Not many searches overall. But if you’re a shop for left-handed people like Lefty’s, customers will surely expect that product. 

Bottom line? I’d say if you want to be the go-to resource for your topic, you may want to target both short- and long-tail keywords (see also: topical authority). Try to target topical long-tail keywords instead of supporting long-tail keywords, though. 

How to find short-tail keywords

If you take a keyword research tool like Ahrefs’ Keywords Explorer, type in something broad like “electric cars,” and sort the results by volume, you’ll get a list of keywords. The results at the top will be your short-tail keywords. 

How to find short tail keywords.

That’s it. If you don’t know what words to type in the tool, try:

  • Looking at the topics people talk about on social media
  • Taking some online industry magazines and look at often-featured topics
  • Analyzing your competitors’ keywords (more on this in the next section)
  • Using a research audience tool like SparkToro  

How to find long-tail keywords

Keyword research and competitive analysis tools can help you find long-tail keywords, too. You just need to set some filters. Let’s look at a couple of ways to do it.

Use a keyword research tool 

In Keywords Explorer:

  1. Enter a broad topic
  2. Go to the Matching terms report
  3. Set the Volume and Traffic Potential filters to a maximum of 300
  4. Click Show results
Finding long-tail keywords in Ahrefs.

Sidenote.

If you don’t see great results with these settings, set the volume and TP filters a bit higher. I don’t recommend going above a few hundred, though, as the results won’t be long-tails at that stage.

From there, refining your initial keyword list is a good idea. You can do that using the remaining filters inside the tool. 

For example, you can use Keyword Difficulty (KD) to get only low-competition keywords, such as: 

Long-tail keywords examples.

Or you can use modifier keywords, such as “for,” to let some niches emerge. 

Using modifier wordsto find specific long-tail keywords.

Some examples: 

Long-tail keywords containing modifier words.

Of course, you can mix and match. Below is a filter that finds long-tail keywords posed as questions with low difficulty and minimum search volumes. 

Example of using various filters to find long-tail keywords.

Examples: 

Long-tail keywords with low keyword difficulty and minimum traffic potential.

Analyze competitors’ keywords 

You can use a similar process to find good long-tail keywords among your competitors. 

For this, use a tool like Ahrefs’ Site Explorer. You can:

  1. Enter any URL.
  2. Go to the Organic keywords report.
  3. Set the Volume to max 300 (Traffic Potential filter is unavailable here).
  4. Click Show results.
Using Ahrefs to find long-tail keyword ideas on other websites.

Sidenote.

If you don’t see great results with these settings, set the volume and TP filters a bit higher. I don’t recommend going above a few hundred, though, as the results won’t be long-tails at that stage.

Looking up the popular cooking website loveandlemons.com, we’ll get keywords such as: 

Long-tail keyword examples sources form another website.

Final thoughts  

Probably the most important takeaway here is not to target keywords only because they belong to the long-tail or short-tail camp. 

Instead, try this four-step process for finding keywords (we use it ourselves at Ahrefs): 

  1. Find keywords with search traffic potential
  2. Make sure you create content that aligns with search intent
  3. Make sure the keyword has “business potential”
  4. Make sure you can rank for the keyword

Read all about the process in How to Choose the Right Keywords for SEO.

Got questions? Ping me on Twitter.  



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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.


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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.


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