SERP Analysis Tools For SEO and Ranking?

SERP Analysis Tools For SEO and Ranking?

Relatively new types of tools analyze search engine result pages (SERPs) and provide recommendations based on statistical analysis of commonalities shared between top ranked sites. But some in the search community are skeptical about the utility of such a tool.

SERP correlation analysis and the lack of reason

Such analysis is called Search Engine Results Page (SERP) correlation analysis. SERP analysis is research that analyzes Google search results to identify factors in ranked web pages.

The SEO community has found startling correlations in the past by studying search results.

An analysis found that the top ranked sites liked Facebook pages a lot.

Of course, those top ranked sites did not have the top rankings due to their liking for Facebook.

Just because the top ranked sites do not share certain features, it does not mean that they got better rank due to those features.

And lack of real The reason in between Factor in common And Real reason Why those sites are ranked in the top can be seen as a problem


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Just because web pages ranked in search results share a word count, a keyword density, or keywords in general, it does not mean that those words count, keyword density, and keywords cause those pages to rank Have been.

SERPs are not long ten blue links

Another problem with analyzing the top ten of search results is that search results are no longer a list of ten ranked web pages, ten blue links.

Bill Slavsky (@bill_slawski) Of GoFishDigital relied less on correlation analysis of search results.

He said,

“The data from correlation studies can be cleaned up so that forest boxes and featured snippets do not appear within them, but it is a long time since we lived in the world of the Ten Blue Links.”

Misleading analysis?

I asked the AI-based content optimization company (@MarketMuseCo) About the SERP analysis tool.

he replied:

“Content optimization tools that scrape SERPs and use term frequency calculations to tell you what is best confusing.

Most of these tools will scour content from the top 10-30 search results, extract common terms, and evaluate their relevance using Google AdWords Keyword Planner from Google’s public API.

Adding words to your content with these types of tools will never yield comprehensive, expertly written content that, over time, becomes competitive for your business. “


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SERP AnalysisTools and LSI Keywords

Some of these SERP analysis tools promote old concepts such as LSI keywords as being important for ranking in Google.

This is a concept known to have little relevance for ranking in Google’s search results.

User Review of SERP Analysis Tool

Nigel Mordant, Director in Charlotte, NC Search Consultancy, Status Digital Group ()@StatusCLT), Told me that they tried SERP analysis tools and were not satisfied with the results.

He offered his opinion of these devices based on his hands-on experience:

“The use of those tools does not promote reader satisfaction, which I think is the core of on-page SEO. This promotes a more content copying style that mimics 1,000 other sites within your niche. “

Jeff Ferguson (@CountXero), A marketer with 20 years of experience, head / head of production, digital@AmplitudeAgency) And Assistant Professor, UCLA gave their opinion based on their experience with these types of tools.

Jeff commented:

“I’ve played with some of these before, and I can see the appeal; However, all too often, their reasoning for doing certain things is based on SEO myths, outdated information, or just flat outs.

Most of them are great at doing a word count of content for a given keyword, but the word count is not a ranking factor. Others are pushing things like “LSI keywords”, which don’t really exist in the Google universe.

More data does not give you better results

Some of these tools will analyze more than the top ten of search results. They can analyze the top 30 and higher.

But more data does not translate into better analysis. The idea that more data would give a better analysis is a common misconception.

According to data science consultant Michael Grogan, at

“If you are trying to make predictions, then more data is not better than irrelevant to that data. Even machine learning models can be misleading if the training set is not representative of reality.

… is the inclusion of some data relevant to the problem it is trying to solve? … it should not be assumed that presenting more data visually in a model would improve its accuracy. “


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Wikipedia has an entry about accuracy and precision, where accuracy is about how close an experiment is to truth or analysis, and accuracy is about how true the results are, yet how the results can be.

“For example, if a systematic error occurs in an experiment, increasing the sample size generally increases accuracy, but does not improve accuracy. The result will be a consistent yet inaccurate string of results from a flawed experiment . “

Accuracy is a problem with SERP analysis in that the typical analysis is not responsible for all the variables that are responsible for ranking a web page in search results.

The reason they are not for all variables is because no one outside of Google knows what those variables are.

Analyzing the search result yields results

Search results analysis has consistently yielded questionable results. One can analyze the result and manipulate something like a possible search intent.

But to claim to identify the factors that are responsible for ranking a site is questionable.


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I mentioned to Bill Slavsky that I was writing about the SERP analysis tool and he quipped:

“I cut off my head after reading the website. Word count has never been a ranking signal on Google. Neither is keyword density. “

Everyone has their own opinion about such a tool. Some people may find value in it.

It is up to you to research and determine whether such a tool is useful to you.