github.com

codex-seo

Source record captured. Niched has not assigned a buyer recommendation.

watchlistFind low-competition keywords for a new B2B SaaSOpen sourceOtherAs of Jul 31, 2026
Current research state

Source record captured. Niched has not assigned a buyer recommendation.

Suggested for Find low-competition keywords for a new B2B SaaS. The assignment is auto_assigned and has not become a recommendation.

GitHub stars
538
GitHub · checked Jul 31, 2026
Lifecycle context
watchlist
Repository activity is current, but buyer durability is not yet reviewed.
Evidence freshness
As of Jul 31, 2026
Captured Jul 31, 2026. Daily refresh coverage depends on the source policy and available API budget.
What is verified

A dated open source signal.

GitHub reports 538 repository stars as of Jul 31, 2026. Stars indicate adoption, not product quality or buyer fit.

View source evidence ↗
Not ideal for

Any buyer treating popularity or traction as proof of fit.

This product is visible in All jobs, but it has no reviewed recommendation.

What would change the verdict

The decision is allowed to move.

A reviewed niche assignment, comparable product evidence, pricing, and buyer outcomes.

Observed facts

What is measurable today.

AgriciDaniel/codex-seo
GitHub stars
538
Forks
77
Open issues
23
Last commit
12 days ago
Repository age
3 months
Primary language
Python
License
Other
Open source
Yes

Categories

SEO research & optimization

Alternatives

Products that do the same job.

Ordered by how much of codex-seo’s category footprint each one covers. Category overlap is an observation, not a ranking.

claude-seo

claude-seo.md

Universal SEO skill for Claude Code. 25 sub-skills + 18 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, backlinks, local SEO, maps intelligence, semantic clustering, e-commerce SEO, international SEO, Google APIs, and PDF/Excel reporting. Optional DataForSEO, Firecrawl, and Banana extensions.

Stars
13K
Forks
1.9K
License
MIT License
Last commit
5 days ago
Compare with codex-seo

dataseo-mcp

suparank.io

A free SEO research tool using Model Context Protocol (MCP) powered by Ahrefs data. Get backlink analysis, keyword research, traffic estimation, and more — directly in your AI-powered IDE. dataseo-mcp is open source, written primarily in Python, released under Other. Its repository has 186 GitHub stars and 27 forks, and was last committed to within the last two months. Niched places it in SEO research & optimization.

Stars
186
Forks
27
License
Other
Last commit
26 days ago
Compare with codex-seo
See every codex-seo alternative

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