InLinks is an SEO software that launched back in 2019. Co-founded by Dixon Jones (CEO) and Fred Laurent (CTO), it has gained recognition as one of the few leading SAAS software specialising in Entity SEO.

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As search engines are moving from strings to things to better understand and rank content, Entity-based SEO is a relatively new approach starting to get noticed by those offering their services in the SEO industry.

InLinks provides various features all geared towards helping a website reach better rankings and stay ranked for longer; the following are the main features of the tool:

  1. Internal linking automation
  2. About & FAQ schema automation
  3. Content optimization for Entity SEO
  4. Keyword research tool with topic clustering
  5. Content planner
  6. Topical maps

Let’s see how each of these features is implemented inside of InLinks.

Internal Linking Automation

Based on a study conducted by InLinks, 82% of internal linking opportunities are missed! When Google confirms that internal links are a ranking factor, it’s surprising to see they are often overlooked.

Creating internal links on a site with hundreds or perhaps thousands of pages is a time-consuming process, one of the main reasons they’re underused.

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InLinks provides a feature to automate internal links on your site simply by associating your pages to their corresponding entities (topics).

Targeting pages with entities results in the placement of internal links with anchor text variation (combining exact matches and synonyms for anchors), the internal links are implemented automatically on a website through a simple JavaScript code.

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From the project’s dashboard, you can control the internal links created by the tool by either changing the anchors or removing the internal links.

Internal linking automation provided by InLinks can save hundreds of hours of implementation time if a project contains thousands of pages.

About & FAQ schema markup automation

InLinks automates two types of schema markup on a website via JavaScript code.

The first type of schema is named ‘About’ & ‘Mentions’; it’s a schema of a type ‘Webpagewhich matches the most critical topics talked about on a page with their corresponding Wikipedia links.

By breaking down the most essential topics of a page and linking them with authoritative sources on Wikipedia inside of this schema markup, Google has a better understanding of the content and can better disambiguate the primary entities.

The second type of schema markup automated by InLinks is FAQ schema:

If InLinks detects that you use questions in the H tag followed by a paragraph, it will automatically use an FAQ schema markup for the page. FAQ schema allows to display of the questions and answers on the ‘people also ask’ section in Serps.

This schema markup is also automated and will be live on your site as soon as you make the JS code live.

Content optimization for Entity SEO

Writing content for SEO in the past revolved around keyword usage and keyword density, while keywords still hold importance in ranking pages Google and other major search engines have evolved to a point where they can understand the overall context for the aim of improving results for search queries.

Read a guide to understand the use of Entities in SEO

InLinks provides features to optimize existing content or create new content optimized for Entities in several languages (English, French, Spanish, Italian, Polish and German) (more languages will be included in the future).

Upon launching an audit or content brief on InLinks starting with a seed keyword, the InLinks NLP will run through the top 10 pages in Google’s SERPs and display the most prominent entities.

From inside a built-in editor, a writer can update an existing page or create new content while at the same time seeing which topic ideas (entities) need to be covered. The InLinks content editor comes with a metric called ‘Content Score’, which is updated in real-time as the topics are included in the editor.

Keyword research tool with topic clustering

InLinks has launched a revolutionary keyword research tool which organizes your keyword research as topic clusters; this feature pilots keyword variations and questions directly from Google Suggest and measure their relevance for the seed keyword.

You can export all of this data, ranked for relevance and organised into topics, into a CSV format. This is the equivalent of a few weeks’ worths of keyword research, more accurate than before and in a tiny fraction of the time!

The User Intent feature differs from other keyword research tools that mark keyword variations as commercial or informational. InLinks looks at the verb commonly used on keyword variations to identify the user intent.

Fascinated by linguistics and its position in SEO, CTO Fred Laurent has put forward this method as the essence of user intent. Verbs denote what people want from a query, so organising your keyword research this way makes much more sense.

Content Planner

The content planner reads all the content you have loaded into inLinks and reduces it to a list of entities behind the scenes. It then uses its world-class knowledge graph to analyse semantically related content missing from your site. It will then give you an in-depth look into the most relevant keywords surrounding these new concepts.

Not only this, but you will be able to see these in terms of priority and create content briefs from the most useful keywords in the list. This platform will allow you to dive deeply into your projects, ensuring your intended audience gets the publications they expect.

InLinks uses the power of entities to know what Google expects to see on a website about your niche. By filling all these opportunities, you are setting your website up as a topically authoritative, helpful site that Google will favour.  

Adding this to your content queue can send it to a new content editor. This will then perform even more keyword research on top of this query to double down on semantic relevance and authority.

With this method, you can start bulking your website quickly and accurately.

Topical Maps

On InLinks you can create your website’s topical map to check which entities you’ve been covering in your content. In addition, InLinks topical maps display the entities recognized by Google’s NLP.


Inlinks don’t just work in English. It can also lift French, Spanish, Polish, Italian, and German entities. The developers listen to language demand, too. You can suggest the following language to be launched on their language roadmap.

The Knowledge Graph used to perform the NLP is slightly less proficient in languages other than English and French, but the tool still works well.

You can manage one website in multiple languages with a slightly modified JS code, accessible through the InLinks team. Just reach out!

InLinks Pricing

InLinks works on a freemium model, meaning you can get all the features for free on a limited number of pages. After that, plans start at $49 monthly, which gets you 100 credits.

Credits are then used to add pages and create briefs/audits. This means it can stay affordable for those who want to maintain their own smaller sites and scalable for agencies.

The enterprise plan gives you your own server and excellent customer service and setup support. You get 250,000 credits per month, with an option to increase this anytime.

InLinks main takeaways:

Overall, InLinks is a crucial, state-of-the-art tool that can help the smallest to the largest of organisations with time-consuming SEO chores. With just one line of JavaScript, which can even be managed through GTM, you can immediately make essential additions to your client’s website based on entities.

These features are making a difference, too. There are a good set of case studies to look at, all of which show significant improvements in rankings, session duration, ranking keywords and more within at least the first 3 months of making the tool live.

InLinks is doing something new and paving the way for Entity SEO tools. It has a wide range of tools which can give you quick wins and help with long-term ranking security. Even if you just use the keyword research tool alone, you will have hundreds of contextually relevant, topically clustered keywords to start writing around in under 5 minutes, so it can help you save time and money.

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Last Updated in 2023-10-20T07:51:18+00:00 by Lukasz Zelezny