Got tired of paying $100/mo for SEO tools, so I built an alternative
Cheaper Ahrefs clone that lacks the backlink database depth enterprise users need.

Yet another SEO tool competing with Ahrefs and Semrush on price alone.
Indie hackers, solo devs, small business owners doing their own SEO
Ahrefs · Semrush · Ubersuggest
I wanted to see what the actual floor was for raw SEO data if you stripped away the fluff and enterprise bloat.
I spent the last few months wiring together different data sources to find out. I got my costs down to a few cents per report and because the data is so cheap to fetch on-demand, I packaged it into a minimalist tool which strictly focuses on the essential elements of SEO:
A keyword analyzer which pulls the top 10 search results, audits them, and flags weak spots (like low DA sites or forums like Reddit) to calculate a realistic difficulty score, a keyword finder which generates hundreds of scored long-tail variations, and a rank tracker with email notifications.
Because the costs on my end are so lean, I don't need to charge $100/mo - so I set up a "Hobbyist" tier at $9/mo which more or less covers data costs and gives you 100 deep searches a month.
If you want to poke around the UI or test the data accuracy, new accounts get 3 free credits every month (no card required). I'd love brutally honest feedback on the UX / if you could see yourself doing keyword research with it.
Cheaper Ahrefs clone that lacks the backlink database depth enterprise users need.
It turns live SERPs into actionable outlines — headings, per-section word counts, intent classification and content-gap bullets that writers can use immediately. The UI makes the core workflow obvious and fast, but it reads as a tactical add-on to established SEO suites: no backlink or authority signals, unclear export/API options, and potential scraping/captcha limits could blunt its value at scale.
It actually compares your article to live SERP winners across content quality, on-page SEO, competitiveness and AI-search readiness — then spits out missing subtopics, long-tail keyword ideas, and title/meta suggestions you can copy. The UI is clean and focused (URL + optional keyword + Cloudflare verification), but the idea is familiar to anyone using Surfer/MarketMuse; the real question is how thorough the extraction and scoring logic are, and whether the free limits and methodology hold up for serious audits.
Claude integration for keyword research, but Semrush, Ahrefs already dominate.
One MCP endpoint replaces custom glue code for SEO data in AI workflows.
SEO keyword tool that gives Go/No-Go verdicts instead of raw data.