SEO Hero ( is a tool that will help you write content, by guiding you on the terms to use. This tool will help you compose your body, start a semantic analysis. It’s designed to chop SERPs to extract n-grams, and give you some indicators.

The method for forming a corpus for search enginesIn summary:

To be relevant to a set of keywords, a text must be in semantic alignment on these keywords.
To increase its relevance, it is necessary to reflect frequent terms of the thematic, and add few rare terms as well.
To form a corpus, we will:

  • Selecting websites
  • Scrapping the pages of these sites
  • Extract words from pages by cash
  • Calculate co-occurrences
  • Store the words in the database

Now that’s the practical theory, now let’s move on to practice. If you want to continue the peyronnet brothers method, you need to participate in ix-labs. Everything was well explained and scripts were given… but as is finished, you can catch up by coming to Qu Du Web (even though there will not necessarily be the same topics).
Otherwise you can use seo-hero. tech.

Seo-hero. tech, the tool to form a semantic corpus

The method of seo-hero. tech is slightly different it is a free tool, key in hand, so as much profit.
You put a keyword, or an expression and the tool is loading the first 100 results of Google, then scrapping each URL to extract the terms used and make some calculations.
The tool gradually advances the indicators as the scrap moves forward. This is sometimes disturbing, but the green bar tells you the progression. You will have 2 paintings. The first contains 1 gram (1 only word), the 2nd contains 2 and 3-grams.
LT: Long Tail Tail TailIt is the n-gram that contain the term. You will find this information in the “Longtail ideas” tab.

Txt: ContextThis gives you context, with examples of phrases where the term is used. a bit as linguee. By looking at the context, you can add the sentences in the editor or in a spin, history to rework texts, set them aside, etc.

HTML: distribution of the term in HTML elementsYou will have the list of urls where the term is present, and the number of cases per element (2 times in title, 1 times in H 1, etc.).

TF: term periodicityAverage word density, number of occurrences of word/Number of words on page
:: occurrenceNumber of occurrence of word, or number of times the word is repeated.

W: words Average number of words found on pages containing the word.

FD: regular documentThe term was found in X % of the pages analyzed, so the first 100 results of Google.
As a result, we also toured the tabs.

There is just the “Directives” tab, which lists co-occurrences in a few different ways, or the associated expressions.

SEO, ICA and SEO Hero are in a same boat!

No one has any certainty that Google uses the ASL to determine the relevance of content, but one thing is sure to do a little LSI can help publishing more relevant content and necessarily better positioning itself on Google. Personally my thing to me is backlinks, and I’m very interested in linkbuilding strategies. But I also give great importance to the quality of content. I see that the very good content rankent very well and as all the means are good for ranker… useless to make you a drawing.
Typical if you buy low cost content, an idea that can be expressed in 5 words, is expressed in 20 words is filling from the islands. However, the observation is clear on my side, better an article short and containing much information than the opposite.
Providing editors with specific terms to use in articles to write is the best solution for obtaining much more effective content in SERPs.
You have two solutions, take the time to document yourself to define yourself a list of interesting terms to add, or use a tool that will do that for you. No surprise I opted for the second solution with the Topic Explorer of SEO Hero.

To summarize

Nothing prevents us from launching additional searches with SEO Hero on “Google Algorithm”, “Web Spam”, “Google Update” to find concepts that are not dealt with in the reference corpus but which remain relevant on Google Panda’s request.