Software [ai] CrawlSpider Internal Links Builder for WordPress - LifeTime License

njbox

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Revolutionary Internal Link Building
Smart and Effortless Link Building for WordPress
Automate and Grow your search rankings​

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LifeTime Deal
30% OFF
CRAWLBUSO30OFF
Original Price: $129
Discounted Price: $90
That is $40 instant savings
Get lifetime updates​

Benefits
  • Hands Off Link Building​
  • Save Time​
  • Save Manual Labor​
  • Fix orphaned pages​
  • Enhanced SEO performance​

Features
  • Full Link Audits​
  • Complete Anchor Text Audits​
  • Long Tail Anchor Text link suggestions​
  • Automatic link rule engine​
  • Data Visualization​
  • Continuous Broken Link Checker​
  • Autopilot Link discovery for new and modified pages​

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Tutorials

- Use Coupon : CRAWLBUSO30OFF at CrawlSpider checkout
https://www.crawlspider.com/product/internal-link-builder-wordpress-plugin-lifetime/
- License details will be emailed after the purchase
ReviewsFrequently asked questions
https://www.crawlspider.com/internal-link-builder-reviews-and-feedback/https://www.crawlspider.com/docs/internal-link-builder-wordpress/faq/

Why is it revolutionary?
Check out each of the video walkthrough
Interactive Data Visualization​

Buy Once, Get lifetime updates!​

LifeTime Deal
30% OFF
CRAWLBUSO30OFF
Original Price: $129
Discounted Price: $90
That is $40 instant savings​

 
Last edited:
Some questions:

1. Auto linking tab - is this similar to LinkWhisper except that instead of a set anchor, the AI will also consider other similar anchors - so we don't need to set all possible anchors?

2. Link Discovery - this is the most interesting one for me and probably what I'd only use. It reads the content of all pages, analyses it with AI, gets keywords and its topic. Then it analyses all other pages, their phrases and suggests contextually relevant links?

3. Which GPT version is being used?
 
Hello Darth,

1. Auto linking Tab: This is an advancement on many auto linking features. You are correct that it will consider all similar anchor text for the words you provided. You also control how long your anchor text should be. For e.g Create a spintax-like syntax, for example, using “dashboard + report” to find anchor texts containing both. https://www.crawlspider.com/docs/internal-link-builder-wordpress/automated-linking/

2. Link Discovery: You got this correct as well. The crawler collects and tokenizes each page. Think of this as a seo audit crawler where it scans for title, h1, etc but in this case CrawlSpider's crawler goes further and breaks down the text into NLP tokens. During discovery, it tries to find the best match for the target or orphan pages.

What do you think of the data visualization? https://www.crawlspider.com/docs/internal-link-builder-wordpress/data-visualization/

It is not using GPT or any third party apis. There is a plan to incorporate them in future releases.
 
I did a quick read and yes it is kind of similar. If you look at the keyword mapping section that is what I resonated with. Crawlspider breaks down each page, extracts the keyword tokens and ranks them. In the future release, the plan is to keep the internal algorithm and also see how openai or claude performs.

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Keyword Mapping​

The keyword-to-keyword and keyword-to-page relationships are the most important aspects we can directly impact as content creators and SEOs. Optimizing pages to improve their keyword targeting through copy adjustments and linking strategies is best reinforced through a determination of what page owns what keywords. In some cases, due to the array of ranking factors, you’ll find that what ranks for the keyword is not the best page on your site. To remedy that at scale, you can loop through your keyword vector embeddings and perform nearest neighbor searches on your document SCaNN index. Wherever the highest ranking URL does not match the current landing page, that’s a linking opportunity for optimization.
To do that we perform the search, add the URL to the dataframe and an indication of whether it’s a match. Very quickly we have an understanding of how where we need to improve our keyword targeting.
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