For each niche, we determine rankings of all relevant keywords and from this determine 20 domains with highest estimated visits across whole niche.

Then we calculate for each keyword, how much of the search volume is taken by these top 20 niche domains.

It is often smarter to target keywords where top 20 players are not importantly present in rankings than going in competition with them.

Example for Electric Scooter field:

For all keywords we calculate fuzzy match between words of keywords and titles, descriptions, h1 and h2 elements of ranked pages.

Thus we obtain for each keyword an estimate of on-page optimization strength of pages that rank for keyword.

All equal, keywords with very weak on-page optimization strength offer a quicker and less demanding road to high rankings.

Example for Electric Scooter field:

For each keyword we determine content length of ranked pages and from this calculate average content length of each keyword.

If you do not like to write content or pay for its production, such keywords with thin content pages ranking high are often low hanging fruit worth pursuing.

Example for Electric Scooter field:

All individual ratings lead to a final rating so we can list keywords that score highest when all categories are considered together.

Keywords with most stars are those where 1) ranked pages have low domain ages, 2) top players are not dominant in rankings, 3) ranked pages have weak on-page optimization and 4) have thin content.

Example for Electric Scooter field:

For each domain you can see a chart which shows you which subpages/homepage contribute to total search visits and how much.

And for each subpage you can see from which keywords and in what amount come the search visits.

We calculate these visits from rankings of domains for keywords and from search volumes of keywords.

See in one chart how visits from search engines flow over subpages and keywords.

Example for domain towardsdatascience.com:

We determine rankings for relevant keywords of niche and from this determine estimated total visits for all domains from these niche keywords.

We produce a list of (usually thousands) domains ranked in terms of estimated visits from niche keywords, showing you top domains of niche.

Example top 20 domains for Drones niche:

For each domain, you can easily see which subpages and keywords contribute how much to estimated search engine visits for domain.

You can also see rankings of domains and explore interactive charts for quicker access to information.

Example for domain towardsdatascience.com:

We filter out domains with top estimated visits and domain age under 1,2,3 or 4 years.

Some of these "young stars" are often employing innovative tactics to rank high despite their young age.

Analyze young upstarts and learn from their methods.

Example of young stars and their statistics for Drones Niche:

We provide you with tools to statistically analyse content on level of individual keywords.

You can instantly see which words are most used by your competitors in their titles, descriptions, h1 and h2 elements for any keyword you choose.

We also list the top visited content excluding homepages and with additional filters to list just the type of content that works in your niche.

Example chart from platform showing most used words in titles of highest ranked websites for keyword 'bluetooth speaker':

Our platform has several growth hack tools for efficiently growing your traffic.

Based on their rankings - we determine top quora pages of the niche and rank them according to their estimated visits so you can start contributing there for free traffic.

We also combine top keywords with queries like "guest post", "write post for us", etc. to find 300-400 guest post accepting sites for each niche.

Example of top quora pages for Machine Learning niche:

Why sentiment analysis of pages? Because we conducted research, calculating sentiment of over 10 million sentences for over 200,000 ranked pages using machine learning. Results showed a positive correlation between sentiment and rankings (see picture below).

You can find more about our sentiment research on our blog here.

We do not know the inner workings of google algorithm in this regard and the correlation may be due to indirect effects (e.g. positive sentiment pages could have lower bounce rates and via this channel higher rankings) and not causative.

However we built a tool where you can check sentiment of your texts. On request we can also scan your entire site and send you the sentiments of all your pages.

OpenAI GPT-2 AI system for generating content has produced remarkable quality of AI produced texts.

We believe that AI will in near future be able to produce texts of quality that will be usable in combination with some proof editing.

We are actively working in this field to make the AI models available to our users once we are satisfied with the quality of generated texts.