Persona playbooks

Use this section when you need the fastest route from a site profile to the right Better Robots.txt reading path.

This section is different from two nearby sections:

/playbooks/ gives scenario-based guidance by site type and business priority.
/governance/playbooks/ gives role-based reading paths for SEO, editorial, ecommerce, agency, and legal or ops teams.
/personas/ is the shortest path when you want to know what to read first, which preset to test first, and what to leave alone until there is evidence.

Quick chooser

If this sounds like you	Start here	Best first preset	Read next
You run a brochure, consultant, clinic, restaurant, or other local business site	Local business owner	Essential	Quick Start and Small Business on Essential
You run a publisher, newsroom, editorial archive, or content-heavy WordPress site	WordPress publisher	AI-First	Publisher archive and AI boundaries
You run a WooCommerce store with filter, cart, search, or crawl-noise issues	WooCommerce operator	Essential or AI-First	WooCommerce Crawl Control
You deploy rules across many client sites	Agency implementer	Custom	Agency multisite rollout
You lead crawl strategy, migrations, or high-risk policy decisions	Technical SEO lead	Matrix-driven	Decision matrix and Output constraints

Start here when the main job is staying discoverable without turning a small site into an overblocked configuration project.

Start here when search visibility must stay open while AI usage, archive posture, and editorial boundaries become more explicit.

Start here when the real problem is crawl hygiene: cart, checkout, filters, search URLs, and other low-value store paths.

Start here when repeatability matters, but one preset for every client would be a strategic mistake.

Start here when you need a tighter decision frame, clearer caveats, and better separation between policy signals and technical enforcement.

Start with the lightest posture that solves the real problem.

Then escalate only when the site has a real archive, crawl-cost, scraping, or AI-policy boundary to manage.