Finding niches, Method 3: AI tools and NLP categories

Taught by Sir Tanveer Nandla.

This method skips tools entirely and uses reasoning instead: an AI model to brainstorm candidate niches, and Google's own content taxonomy to check where the gaps in those categories sit. Both are free, and both are best used to generate a shortlist to verify in Ahrefs or SEMrush afterward, not as a final answer on their own.

1. Use ChatGPT / AI tools

Ask targeted questions to brainstorm ideas and surface lesser-known sub-niches. The AI needs to be told who you are and what you're doing before it can help. A bare "find me a niche" request does not work: a model with no role, no goal, and no constraint just returns generic, saturated suggestions, the same ones anyone else asking the same bare question would get.

Example prompt:

"Consider you're an SEO & Niche Blogging Expert. The goal is to find low competition, high search volume niches. Exclude saturated and high competition niches and help me find low competition niches. The sample niche that I want you to find is: AI background remover. You can find combinations of niches for me like AI [Keyword] remover. Remember, niches should be low competition. Low competition means low DA sites on the 1st SERP. I understand you can't check DA directly, but somehow, if you can give an idea. And only list those niches, without description."

Or, working from keywords you already have:

"I have few combinations of niches, I am using Keyword Explorer of Ahrefs, so can you suggest keywords same like menu prices, [paste your keywords here]"

Then keep asking follow-up questions (for low-competition niches, for a reference website, or anything else narrowing your criteria) and analyze whatever keywords or content the AI generates rather than using it directly.

Other combinations to try

• AI [Keyword] Finder: "AI product finder", "AI job finder"
• AI [Keyword] Generator: "AI content generator", "AI quiz generator"

The aim is specific subtopics that big players have not heavily targeted.

A separate, reliable category of tool niche: ask ChatGPT directly for calculator, generator, and convertor tool ideas: these three tool types are a dependable source of low-competition keyword niches on their own, independent of the AI-branded combinations above. For a tool niche specifically, Tier 1 countries only need 15,000+ monthly search volume to be worth pursuing, the same threshold as an informational/blog niche (see Niche research: tools, metrics, and selection criteria).

2. Use NLP categories

Where the AI-prompting method above generates ideas by reasoning, this one generates them by browsing a fixed structure: Google Cloud's own Natural Language content taxonomy is the same hierarchy Google's classifier uses to file content into topics, so walking it directly shows which subcategories exist and, by extension, which of them nobody has built a dedicated site around yet.

Steps:

1. Open the Google Cloud Natural Language Categories page.
2. Review the hierarchical categories: most have several layers of subcategory nested under a broad top-level topic.
3. Match your topic to the closest relevant category, and read the subcategories sitting beside it.
4. Use those category keywords in your content and SEO strategy.

This helps search engines (and Google's own NLP) accurately identify and rank your content, which improves visibility. Content that maps cleanly onto a category Google already recognizes has an easier time being correctly classified than content that reads as belonging to no clear topic at all.

Worked low-competition examples

1. Study grants & scholarships in Australia: many people search scholarships broadly, but narrowing to one country narrows the field. Sub-niches: postgraduate scholarships in Australia, women-specific grants in Australia.
2. Simulation games: gaming overall is saturated, but sub-genres like farming sims or city-building sims surface low-competition keywords. Sub-topics: mobile simulation game reviews, PC simulation game tips.