# Niche research: tools, metrics, and selection criteria (/docs/niche-research/overview) --- type: Document title: "Niche research: tools, metrics, and selection criteria" description: The tools, authority metrics, monetization models, and selection criteria used to pick a low-competition, profitable niche. status: stable order: 3 added: 2026-09-14T15:05:41Z generated: { by: human:ahmedraza, at: 2026-11-06T18:14:10Z } ksor: audience: [public] owner: human:ahmedraza approval: { by: human:ahmedraza, at: 2026-11-06T18:14:10Z } sources: - id: class-10-helping-material title: "Helping material, Class 10" resource: "Helping material, research links shared by Muhammad Ali after Class 10 (Niche Research with a New Angle)" verified: [{ by: human:ahmedraza, at: 2026-10-16T11:32:00Z }] trust_tier: human-reviewed build_id: sha256:401a1d4b5eead93b53bbfcc53b1ee4048e592b4be6f6059d848ed6ffaa614755 dirty: true ksor_version: 0.0.60 --- *Taught by Sir Tanveer Nandla, except "Supply and demand, the plain version" and "Niche finalization for beginners" below (Class 10, Muhammad Ali; see that section).* Niche research exists to find a real market gap or demand: a low-competition, profitable opportunity. The end product does not have to be a content site: it can just as easily be an app, a browser extension, or a piece of software solving one specific problem. Niche plays roughly a 70% role in whether a site succeeds or fails; get this step wrong and no amount of later SEO work fully compensates. ## Supply and demand, the plain version *This section, and "Niche finalization for beginners" below, are from Class 10, Niche Research with a New Angle, taught by Muhammad Ali.* Every "low competition, high search volume" niche criterion in this record is one instance of a simpler business idea: **supply** is competition, **demand** is search volume, and the niche worth taking is the one where supply is low and demand is high, the same rule any business is evaluated on, not something specific to SEO. ## The research workflow, in order 1. Start with seed keywords. 2. Check their search volume. 3. Expand into related keywords. 4. Confirm there is bigger total demand around the topic, not just one term. 5. Check KD and DR. 6. Open Google and analyze page 1 of the SERP. 7. Find the weak competitors on it. 8. Validate that monetization is realistic. 9. Validate scalability: room to grow beyond the seed keyword. ## Tools required - **SEO Quake**: Chrome extension for on-page SEO data. - **ChatGPT**: content ideas and keyword research. - **Moz Pro**: Keyword Difficulty analysis. - **SEMrush**: comprehensive SEO analysis. - **Ahrefs**: keyword research, DR, and traffic analysis. - **Moz Bar**: Chrome extension for SEO metrics. - **Keyword Everywhere**: search volume analysis. - **Similar Web**: website traffic insights. - **WHOIS** (whois.com/whois): checks a domain's registration age. - A dedicated niche/keyword scanner tool, where one is provided as part of the course, useful for a first pass before cross-checking in Ahrefs or SEMrush. This research used to be done manually; it is now done both manually and with automation. ## Metrics for SEO analysis - **DA (Domain Authority)**: Moz metric for site authority. - **PA (Page Authority)**: Moz metric for page-level authority. - **DR (Domain Rating)**: Ahrefs metric for backlink profile strength. - **RD (Referring Domains)**: how many unique domains link to a site; a low RD count on a competitor is a weakness signal. - **Search Volume**: from Keyword Everywhere. - **Keyword Difficulty (KD)**: checked via Moz or SEMrush. - **Trend Analysis**: via Google Trends. A trend score **above 30** is generally considered fine, whether the niche is seasonal (spikes for one month a year) or evergreen (steady across all 12). - **Indexed pages**: checked with `site:domain.com` in Google. No single metrics provider is treated as ground truth; always sanity-check a metric's authenticity against a second source before deciding on it. ## Monetization methods - Google AdSense (earn through ads) - Affiliate marketing (commissions on promoted products) - Sponsored/guest posts (charge for link placement) - Selling products/services (e-commerce, consulting, etc.) - Subscription model (charge for premium content), the default model for a SaaS or AI-tool niche specifically - APIs and developer tools (charge for programmatic access) - Selling a course - Lead generation (send a business qualified leads or calls for a fee) - Build and sell: grow a site, then sell it; every website you build is a flippable asset ## Niche selection criteria - Avoid single-word niches (e.g. Motivation, Beauty, Food, Samsung, Sports): they are too broad to own. - Focus on specific, problem-solving topics (e.g. "Tim Hortons Menu" rather than "Menus"). - Ensure at least 3 sites in the SERP have DA under 20. - Prefer micro or nano niches, and expand later; Google favours them over macro niches, and a nano niche is the easiest of the three to rank. - Ideal page count for an informational site: under 100 to 150 pages. - Analyze only the first page of the SERP when judging competition. - The lower the DR and the RD count of competitors, the easier the niche is to rank in. - Prefer a niche where Google shows **no AI Overview** on the target keywords: if one is present but traffic is still flowing to a low, dedicated competitor site anyway, the niche can still work. - Prefer a niche with a **search-intent mismatch**: if what currently ranks does not match what a searcher actually wants, that gap is the opportunity: build the intent-matched page instead. A five-word checklist for a niche worth pursuing: **profitable, low competition, sustainable, monetizable, scalable.** ## Niche finalization for beginners For a first niche specifically, pick something that already connects to your own life somewhere: a hobby, an interest, something you'd recognize good work in. A niche picked outside your own expertise risks not being able to tell whether the content on it is actually good, and working on something that bores you is harder to sustain. Two places to source problem-solving niche ideas from directly: - **Google's product taxonomy** (the base "product type" sheet Google and Facebook maintain for Shopping/Merchant listings): browsing its categories surfaces problem-solving niches directly. Both lists are linked in the class's helping material: [Google's product categories](https://support.google.com/merchants/answer/6324436?hl=en) and [Facebook's product categories](https://developers.facebook.com/docs/marketing-api/catalog/guides/product-categories/).[^class-10-helping-material] - **UGC sites** (Reddit, Quora): real discussion is a signal of real demand, and browsing them for recurring questions surfaces niches the same way (see [Finding niches, Method 4: backlink mining and UGC intent mismatches](finding-niches/finding-niches-backlink-and-ugc-method.md) for a more targeted, tool-driven version of this). ## Types of niches, by size 1. **Macro niche**: e.g. sports, cricket. 2. **Micro niche**: e.g. world cup schedules. 3. **Nano niche**: e.g. a single country's world cup coverage. Niches are also either **seasonal** or **evergreen** at each of these three levels; a macro, micro, or nano niche can be either. ## Choosing and validating a competitor Pick at least one competitor to study, and choose a **weak** one: low DA, with organic traffic you can plausibly replicate. A younger ranking site, or a smaller dedicated site rather than a broad brand, is a stronger signal that the niche is beatable. Validate a candidate competitor on: - **Age**: younger ranking sites are easier to displace (check via WHOIS). - **Pages**: `site:domain.com`, or the sitemap. - **DR / RD**: via Ahrefs. - **Traffic**: via Ahrefs. - **Ranking keywords**: which queries actually bring it traffic. - **Top pages**: which specific pages earn that traffic. - **Monetization**: how the competitor actually makes money. - **Content quality, topical relevance, and backlinks**: on their own merits, not just relative to competitors. - **Forums, Reddit, and other UGC**: whether real discussion exists around the topic, a sign of genuine demand. ## Checking page count Use `site:domain.com` in Google, or the site's sitemap, to see how many pages a competitor runs; this is how the 100 to 150 page ideal above gets checked in practice. ## Search volume thresholds, by market and site type This is a different dimension from the revenue tiers in *Country and language targeting for niches*: that document covers how much a visit is worth by country; this is the minimum search volume worth targeting in the first place, by market and by site type: - **Tier 1 countries** (US, UK, Australia, EU): 15,000+ monthly search volume is the traditional minimum for an informational/blog niche. - **Tier 2 countries** (India, Southeast Asia): closer to 30,000+. - **E-commerce niches**: as low as 200 can still work. - **Affiliate niches**: as low as 500 can still work. - **Tool niches** (calculators, generators, convertors): 15,000+ in Tier 1 countries is enough: the same threshold as an informational/blog niche. ## The two things this all reduces to Every method in this section is really answering one of two questions about a candidate niche: its **difficulty** (DR, competitor age, page count: how hard is this to rank) and its **profitability** (country, language, monetization model: how much is ranking it actually worth). A niche worth pursuing scores well on both, not just one. ## Where this sits in the course Niche research is Module 1, and it is deliberately the module the most time gets spent on: roughly 70% of the course so far. It is followed by a Content Coverage module, then Writing, then Website Design. [^class-10-helping-material]: Helping material, research links shared by Muhammad Ali after Class 10 (Niche Research with a New Angle). ## Class infographics ![Infographic: Niche research, complete (Sessions 1, 2 and Beginner Special)](overview-infographic.webp) ![Infographic: SEO Class 1, niche research](overview-class-1-infographic.webp) ![Infographic: Beginner Special Class, niche research basics and the sweet spot method](overview-beginner-special-infographic.webp)