Keyword Density Matters in SEO

Understanding Google’s methods for organizing search results is the first step in optimizing a page’s visibility. Of Google’s roughly 130,000 ranking factors, keyword density is a long-debated metric that resurfaced with the recent algorithm document leak.

The leak suggests that keyword density is likely fundamental to ranking a page on Google’s SERPs.

But first, a word on fundamentals and why they’re important. Reliable, consistent search engine optimization applies the key factors likely to result in higher rankings. Focusing on the fundamentals is both efficient and effective.

In SEO circles, keyword density is called “term frequency.” Some call it “keyword stuffing.” Regardless, the goal is to increase the on-page frequency of the keyword you want to rank for.

Leaked Google algorithm documents name “term frequency” as a ranking factor. Source: “Google Ranking Signals” at DixonJones.com.

‘Skincare’

Consider a highly competitive term such as “skincare.” Here are the top five ranking domains for “skincare” and the number of times that word appears in the HTML (in Chrome, go to “View” > “Developer” > “View Source”):

  1. Sephora.com – 762
  2. TheOutset.com – 165
  3. Fresh.com – 607
  4. CreamySkincare.com – 182
  5. Skinbetter.com – 596

The Outset and Creamy Skincare achieved top-five rankings despite relatively fewer keyword mentions, confirming the many ways to rank a page. The other three suggest a linear relationship between keyword density and rankings.

According to Search Engine Journal in 2019, when asked if keyword density is a ranking factor, Google spokesperson John Mueller said, “…this is a fairly old metric, and things have evolved quite a bit over the years…there are lots of other metrics as well.”

While confirming alternative metrics, Mueller does not deny that keyword density is a fundamental ranking factor.

Google may use factor diversity to spot and disqualify attempts to manipulate its search algorithms. In other words, keyword stuffing alone doesn’t work on, say, an ecommerce product page. But keyword stuffing in combination with other factors does.

Top Factors

Google’s top 200 ranking metrics are reported daily on Top SEO Factors, developed by Ted Kubaitis, who also makes an SEO analytics tool called Cora.

As of June 17, 2024, Kubaitis’s top three factors are:

  1. Number of unique latent semantic keywords used [i.e., words related to the target],
  2. Number of distinct entities used [i.e., an identifiable thing in a database],
  3. Domain is .com, .net. or .org.

The top two are likely fundamentals, whereas number three is presumably owing to the number of top-level domains using .com, .net, or .org.

“Term frequency” is number 33 on the list — down 18 positions over the last 30 days — but that’s 33 out of 130,000.

The recently leaked Google documents contain many references to “term frequency.” Read it for yourself on a page created by Dixon Jones, a developer who created a tool for researching entities related to target keywords.

The Google leak is documentation only, not source code. Many notes are old with undefined words, ratios, and calculations. Thus the only certainty is Google uses, used, or considered the factors at some point.

Nevertheless, based on the shared testing and knowledge of the SEO community, the leaks reinforce many practices already in place.

For example, searching “term frequency” on Dixon’s site returns six results referencing “Tf,” which the documents define as “term frequency.” These references suggest that keyword density is fundamental to search engine optimization, particularly at the beginning of a document, although “beginning” is undefined.

Moreover, the leak suggests that Google considers the ratio of your keyword to all the other pages on the web that use it. But that is seemingly prohibitively expensive to compute for every search. Keyword density for a single page, however, is not.

It seems difficult, if not impossible, for an algorithm to determine the topical relevance of a page without at least considering keyword density. What’s the alternative for a term such as “computer” without using that term or a synonym a certain number of times?

Wikipedia, which ranks number one for “computer,” includes that word 1,354 times in the page’s HTML, which, again, anyone can see.

Remember, keyword density is one of many factors. Overusing it will not likely increase rankings. But combined with other top factors, it’s likely to increase page rankings, including for ecommerce products.

How AI Improves Keyword Research

Artificial intelligence can reveal content gaps and opportunities to improve organic search rankings. It is also helpful for keyword research.

Traditional keyword tools extend core terms with long-tail phrases. AI tools discover new terms by identifying related queries with the same search intent but not necessarily the same words.

What follows are AI tools for keyword discovery. Push these suggestions through traditional keyword research tools to discover long-tail opportunities and additional insights such as search volume and keyword difficulty.

I tested each tool with the same core phrase: “take text from image.”

SEO.ai

SEO.ai offers a free AI-powered tool to generate keyword suggestions. For “take text from image,” it produced the following variations.

  • text from image services
  • image to text conversion
  • OCR services
  • image transcription services
  • document digitization services
  • scanned documents to text
  • photo to text service
  • handwriting to text conversion
  • image processing text extraction
  • OCR text recognition
  • convert image to editable text
  • image text analysis
  • image to word conversion

Junia

Junia provides free AI-powered research and complementary data from Google Ads’ Keyword Planner on competition, monthly search volume, and cost-per-click. Junia’s suggestions were the most relevant to my initial phrase. I’ve reproduced them for this article.

Optimo

Optimo’s keyword research tool identified helpful phrases beyond my core term.

  • Text recognition
  • OCR (Optical Character Recognition)
  • Image to text conversion
  • Text extraction
  • Image processing
  • Text conversion software
  • Character recognition
  • Image analysis
  • Text extraction tool
  • Text recognition technology
  • Image text recognition
  • Document scanning
  • Text capturing
  • Image data extraction
  • Text identification

Ryan Robinson

Ryan Robinson is a content and SEO consultant. His AI keyword research tool offers helpful suggestions. The “Explore” tab lists keywords based on a core term, as well as search volume and organic search competition, which he calls “difficulty” (without explaining its calculation).

  • image to text
  • text from image
  • image to text converter
  • convert image to text
  • text extractor from image
  • text from picture

Clicking the light bulb icon next to any suggestion generates long-tail variations:

  • image to text converter free
  • image to text converter google
  • image to text converter free online
  • image to text converter extension
  • image to text converter app
  • image to text converter reddit
  • image to text converter adobe
  • image to text converter python
  • image to text converter mac

VidIQ

VidIQ offers an AI-powered YouTube keyword research tool. Each suggestion includes search volume on YouTube, without, again, an explanation. Still, the ideas were helpful.

  • OCR software tutorial
  • extract text from image
  • image to text converter
  • text recognition app review
  • easy text extraction tool
  • best image OCR technology
  • convert handwritten text to digital
  • text recognition software comparison
  • improve text extraction accuracy
  • automated text extraction demo

LowDifficulty.ai

Low Difficulty’s Free Keyword Generator lists ideas based on the (undefined) ranking difficulty. The tool also provides cost-per-click and, confusingly, monthly “Search volume” and “Global volume.”

Here’s what it offered for “take text from image.”

Consult Several

The AI tools suggested mostly original keyword ideas, although some overlapped. Consult several when researching.