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Content coverageLesson 2 of 4

Content coverage, Class 1: related keywords, Google Autocomplete and programmatic SEO

The start of the Content Coverage module, turning one niche keyword into the related keywords a whole website is built on, with Google Autocomplete, an LLM prompt, entity combinations and programmatic SEO templates.

human reviewedAhmed Raza2 min

This whole document is from Class 1 of Content Coverage in the SEO module, taught by Sir Tanveer Nandla.

Where ideas come from

Students often ask where ideas will come from. The best way is to train the algorithm of one of your social media platforms on AI updates and innovation. The best ideas come from there.1

Some ideas for agentic AI:

  • Consultation with AI
  • Government centralized system1

From one keyword to a whole website

  • So far we have a niche, one keyword.
  • Now we need related keywords that together make up a whole website.
  • For example, if the niche is "USA Scholarships", it gives many related keywords: usa scholarship for Pakistan, usa scholarships application, usa scholarships for science, and so on.
  • Collect all these related keywords in one place, then write content on them.
  • The related keywords come from keyword research.1

Keyword research with Google Autocomplete

Google Instant / Google Autocomplete uses Google's live, up-to-date data, so it is more authentic and actionable. It is the best method of keyword research:1

  1. Write your niche on Google and just press space. The suggestions that come up are related keywords.
  2. Expand the research with the words you have taken out.
  3. Then write the alphabet one letter at a time and copy the suggestions.
  4. Then put a space at the start of the keyword, and copy and save the suggestions.1

Important

If two related keywords have the same intent, meaning their SERPs are almost the same, treat them as one keyword.1

A new idea: ask an LLM

Tell ChatGPT or any LLM that you are going to work on this niche, that you do not know content coverage, and ask it for valuable strategies. It gives you multiple related keywords and a lot of ideas.1

Automation with AI agents

  • Prompt an LLM: you have taken out 100 content pages or keywords. Can it find keyword combinations that can be built through programmatic SEO?
  • These combinations give you an edge over others doing SEO.
  • You can also take out many keywords by combining multiple entities. If one entity is PSL, another is a plate's name and another is a season, combining them gives many combinations.1

Programmatic SEO

  • What you do not do manually, you make a template for, such as [City] Weather.
  • Agentic AI writes every city in place of City, builds a page for each and writes the content.
  • Another template: [Player] Salary. Agentic AI builds Babar Azam Salary, Shaheen Afridi Salary, and so on.
  • The LLM builds these combinations itself.
  • So now we do not do only normal SEO but programmatic SEO, covering every single thing in depth.
  • When manual SEO gets the touch of programmatic SEO, nobody will come close.1

Class infographic

Class infographicTap the image to zoomInfographic: Content coverage, Class 1: related keywords, Google Autocomplete and programmatic SEOContent coverage, Class 1: related keywords, Google Autocomplete and programmatic SEOOpen full size

Footnotes

  1. iSkills SEO Content Coverage Class 1 notes, taught by Sir Tanveer Nandla. ↩ ↩2 ↩3 ↩4 ↩5 ↩6 ↩7 ↩8 ↩9

More in this chapter3

  1. LessonContent coverage: the 200-volume benchmark methodHow to fully cover a topic's sub-questions, group keywords without stuffing, and decide which of them earn a dedicated article.Read lesson
  2. LessonContent coverage vs keyword coverage: ideas vs wordsSir Tanveer Nandla's lesson on the difference between content coverage (answering every question a reader has) and keyword coverage (using the phrases people actually search), with worked examples, a practice exercise, and how NicheSpark helps find the phrases.Read lesson
  3. LessonContent coverage, Class 2: competitor keywords via Ahrefs, keyword grouping and Google AlertsSir Tanveer Nandla's Content Coverage Class 2: avoiding thin content and cannibalisation, the fourth content coverage source (competitors via Ahrefs), turning thousands of keywords into article topics, more keyword sources, and Google Alerts.Read lesson

Content coverage: the 200-volume benchmark method

How to fully cover a topic's sub-questions, group keywords without stuffing, and decide which of them earn a dedicated article.

Content coverage vs keyword coverage: ideas vs words

Sir Tanveer Nandla's lesson on the difference between content coverage (answering every question a reader has) and keyword coverage (using the phrases people actually search), with worked examples, a practice exercise, and how NicheSpark helps find the phrases.