Documentation

Run your first SERPTool keyword analysis in under 5 minutes — sign up, paste your keywords, read the opportunity scores. The shortest path to insight.

Orient yourself around the SERPTool dashboard: analyses, collections, credits, and admin.

Transparent walkthrough of the data pipeline: DataForSEO, live SERPs, weakness detection.

What each SERPTool action costs in credits, how subscription credits expire, how pack credits roll over, and how to budget for the work you actually want to do.

What the 0–100 Opportunity Score means, how it is calculated, and how to use it.

The three result-level authority signals: domain score, page score, and spam score.

Informational, commercial, transactional, navigational — what each search intent means, how to spot it from the SERP, and why getting it right matters.

The case against the aggregate Keyword Difficulty metric every tool leans on.

People Also Ask, featured snippets, local packs, shopping — and how each one changes CTR.

How often a keyword produces answers in ChatGPT / AI Overviews, and what that means for ranking strategy.

Complete reference for every weakness code SERPTool detects in the top 10 results.

The three authority-side weakness signals: low domain score, low page score, zero backlinks.

Five technical weakness signals — SLOW_PS, HIGH_SS, NO_HTTPS, BROKEN, OUTDATED_TECH — that knock otherwise-authoritative pages off page one.

The seven content-side weaknesses: old content, title mismatch, missing keywords, weak titles, thin content, missing meta, missing headings.

When Reddit, Quora, YouTube and other UGC sites dominate the top 10 — what it means and how to exploit it.

Why .xyz, .tk, .ml and other free/novelty TLDs score as a weakness signal.

Step-by-step guide to surfacing keywords with weak SERPs you can realistically rank for.

Identify keywords your competitor ranks for that you do not — and decide which to target.

The right keyword strategy for a domain with no authority yet — what to look for, what to avoid, and how to find ranking opportunities from a standing start.

How to surface specific, high-intent long-tail keywords using SERPTool — the kind that convert at 5-10% rather than 0.5%.

When Reddit/Quora dominate the top 10, is it an opportunity or a dead end?

Summary vs Full SERP export formats and what to do with each — pivot tables, content briefs, competitor tracking sheets, BI dashboards.

Running large keyword lists without wasting credits or running out of memory.

What counts as a "ranked for me" score when your domain is 0, 6, or 36 months old — calibrating SERPTool's 0-100 scale against your actual authority.

Finding commercial-intent long-tail keywords that affiliate sites can actually rank for.

How SaaS founders use SERPTool to find keywords where their product page can rank as the answer — the highest-converting keywords in any keyword set.

Ranking for city-specific service keywords without spending on big SEO suites.

Category, product, and comparison keywords that move real revenue — using SERP weakness signals to find ones you can outrank without enterprise budgets.

End-to-end workflow for finding content holes on your site vs competitors.

Honest comparison of SERPTool and ClearSERP — what each does best and where they overlap.

When to pick SERPTool over Ahrefs — and when Ahrefs is worth the premium.

How SERPTool's focused keyword + SERP workflow compares to Semrush's enterprise suite.

Two tools aimed at smaller budgets — which one finds more actionable keywords?

A framework for deciding which tool to reach for based on what you are actually doing.