The World's First Intelligent Machine Learning
Technology-Based SEO Paas

Get smart recommendations to improve your content relevancy against search intent by relevant keyword and content composition that you need to rank

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We can help you overcome the hassle of which research tool and keyword to use and outrank your competitors one by one, till it reaches the #1 rank in SERP.

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Convert Data into Quality Leads

Insert Seed Keyword, Preferred Location & URL For Overall Analysis


Benchmark Your Content Against TOP 10 Search Results


Compare Your Keywords with Competitors


Optimize Your Content Relevancy


Gain Quality Conversion With NexODN

What NexODN Can Do For You

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Be independent to rank your own competitive keywords

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Gain more quality traffic and leads

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Achieve insightful overview of SEO performance

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Optimize your highly relevant and profitable content creation

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A platform that allow you to test simulation to your website

to see how it benfits you in

   Organic Search,Ranking & Conversion Rate


Frequent Ask Questions

Other general keyword research tools provide related keywords together with the keyword data such as Search Volume, asked questions and related keywords.

Powered by the Natural Language Processing, NexODN is the first ever Machine Learning SEO Platform that will enable users to include the best term composition in their content, which is focused on outranking the top competitors in a particular niche.

The trained  NEXODN AI model also has the ability to understand minor differences and nuances between similar words. It can understand unintentional or deliberate misspellings, duplicates, stop words, entities, word placement swapping, and multiple fields of different types. This falls in line to how modern search engines like Google understands a web page semantically.

Concept-based HTML Tags

Titles, Meta, headings, and URLS are more important than ever. Because machine learning allows for significantly higher levels of conceptual understanding for Google’s systems, your tags and meta data will help Google decide what kind of concepts your pages deliver, and whether or not those concepts are relevant to a given search.

Keyword stuffing has been ineffective for many years, but keywords themselves will actually become less important in the traditional sense. Google’s conceptually driven algorithm means that a page that contains 0 instances of a search keyword could rank higher than a page with many instances of that same search keyword. That’s if Google learns that the second page isn’t satisfying the searcher’s true intent. NexODN is all in one tool to help you keep on the same page as Google and always will be.

Back in the old days of Google, programmers in dark rooms with carbonated sodas had to manually piece together the spam links and non-authoritative follows. 

But now, Google’s algorithms can use that data to make predictions about the legitimacy and helpfulness of other links, significantly improving its ability to understand and interpret the quality of links with greater efficiency, increasing the importance of authoritative backlinks.

The bottom line is this: with machine learning, Google’s search system is far more dynamic than ever before, and requires good content and consistent website scaling to keep up with competitive search space.

Google has more data than you. Their search algorithms will update faster than you can update your content or SEO strategies.

Remember that you aren’t trying to beat Google, you’re trying to win with Google. If Google is trying to satisfy searcher queries faster and more efficiently than ever before, then the future of marketing is also satisfying searcher queries faster and more efficiently than ever before.

Ranking for “new phones” might require a website that delivers news updates, how-to videos, and a marketplace to buy phones, all with an authoritative and recognizable brand that users trust. 

Width of content also means creating web spaces that have all types of content that a searcher might have wanted–text, images, graphics, videos, products, lists, links elsewhere–in a way that feels genuine and organic.

  1. Discover the competitive Term/keywords you want to rank - and RANK them for yourself!

  2. Reach the right prospects with the right message at the right time(relevance & intent) - get more Qualified TRAFFIC & lEADS!

  3. Reveal highly relevant & profitable TOPIC (KEYWORDS AND TERMS), include them in your content - optimize your CONTENT creation!

  4. Monitor your SEO performance with comprehensive  real time rank tracking - get INSIGHTFUL overview of your progress!

Another great way to improve your site's traffic with SEO testing is to test alternative titles to gauge impact on overall traffic. There are often variations of your core keywords that a page might rank in the top 100 for that do not yet drive traffic. Using our 'Missing Keywords' feature you can discover synonyms, modifiers and other topics that your pages rank for, but don't currently target. NexODN crawler scans your site's urls and compares the keywords you are ranking for in multiple locations and gives you the most profitable terms to rank for. By identifying the keywords or phrases that are missing from your original page and adding them where appropriate - whether to your title, sub headings or just as part of your article body - you can quickly improve your relevance for those phrases and synonyms and thus rank for a wider range of keywords and modifiers.

Machine learning is a great buzzword, and you may be itching to unleash some of its power into your marketing strategy. Remember that machine learning will only be as good as your data, and your data will only be as good as your goal.

The types of machine learning that you’ll have access to will probably not go toe-to-toe with Google RankBrain. That’s why the bulk of this article is about optimizing content to work with Rank Brain instead of using machine learning to make adjustments to your SEO strategy.

This very ubiquity can make it a challenging concept to grasp, however. In fact, Eric Schmidt at Google has gone so far as to say, “The core thing Google is working on is basically machine learning.” It is helpful to break this down into the steps that comprise a typical machine learning project, in order to see how we might apply this to everyday SEO tasks.