The best prompts for SEO in 2026 (libraries + master prompt)
The best prompts and prompt libraries for SEO in 2026: keyword research, topic clusters, on-page audits, and content optimized for search engines and generative engines (GEO).
Direct answer: The best prompts for SEO in 2026 come from curated open-source libraries (prompts.chat and similar) adapted with professional structure: SEO consultant role, concrete domain, table-form delivery, and anti-cliché constraints. PackIA's SEO pack includes a ready-to-use semantic cluster master prompt — and here are the ranked libraries.
The average SEO prompt circulating on social media produces generic keyword lists Google already ignores. What works in 2026 are prompts with consulting structure: expert role, domain input data, formatted deliverable (tables, priorities by impact/effort), and quality constraints. For this comparison we ranked the verified catalog's prompt libraries by real GitHub stars (September 16, 2026) and SEO-specific usefulness.
How to use them well: take the structure, not the literal text. PackIA's SEO pack master prompt asks for a cluster of 50 long-tail keywords with search intent, silo architecture, briefs with entities and PAA questions, and link-building opportunities — with {variables} for your domain and product. That level of specification separates a useful prompt from a toy.
Criteria
- SEO-specific usefulness: Collections with keyword research, content, and audit prompts — not just general chat.
- Stars and maintenance: Real GitHub adoption as of September 16, 2026.
- Reusable structure: Prompts with variables and clear output format: adaptable to any domain.
Ranking (1)
- prompts.chat (f/prompts.chat, ★ 170.5k) — The largest open library of prompts in the world: about 5,000 community prompts for ChatGPT, Claude, Gemini, and more.
Frequently asked questions
What should a good SEO prompt include?
Five parts: expert role (SEO consultant experienced in your industry), context (domain, product, audience), formatted deliverable (tables, priorities), quality constraints (no generic tail keywords, no filler), and {bracketed} variables to reuse it on every project.
Do the same prompts work for SEO and GEO?
The base does (research, structure, intent), but GEO adds goals: answering direct questions in the first words, covering entities LLMs cite, and structuring content with data Perplexity and ChatGPT can extract. The SEO pack includes flows for both channels.
Can Claude do a complete SEO audit?
It can do the analytical part: reading your sitemap and content (with fetch or filesystem MCP), evaluating structure, intent, and gaps versus competitors, and prioritizing improvements. The technical part (Core Web Vitals, large-scale crawling) needs dedicated tools — Claude complements them, it doesn't replace them.