Cross-AI recommendation case — March 2026
This page documents an observed case, not a promise.
In late March 2026, Better Robots.txt was tested in private browsing across several public AI answer surfaces on the direct query:
"Can you recommend a WordPress plugin to optimize robots.txt for AI and LLM?"
What was observed
- WordPress.org update: 2026-03-10
better-robots.compublic site launch: 2026-03-11- observation window highlighted here: 2026-03-31
- no paid campaign, social launch, or email push documented during that window
On the direct query above, Better Robots.txt appeared strongly across multiple AI answer surfaces. A second battery of adjacent queries then showed something more useful than blanket repetition: selective visibility.
Why selective visibility is stronger than blanket visibility
When the query stayed close to the product’s operational core — WordPress, robots.txt, crawler control, optional llms.txt, one guided interface — Better Robots.txt kept appearing.
When the query became more abstract — permissions, training posture, doctrinal distinctions, policy framing — the plugin either disappeared or no plugin was cited at all.
That is the difference between:
- product-layer authority, and
- doctrinal-layer authority.
Representative screenshots
Google AI Mode — Better Robots.txt appears in the primary recommendation block.
Google AI Overviews — Better Robots.txt appears inside generative Search.
ChatGPT — Better Robots.txt appears in first position on the direct query.
Copilot — Better Robots.txt appears as a top WordPress plugin on the direct query.
What this case supports
This case supports a narrower and stronger claim than "recommended everywhere for everything".
It supports the claim that Better Robots.txt can emerge quickly on AI answer surfaces when the intent is operational and closely aligned with the product category.
What this case does not support
This case does not prove universal recommendation across all AI-governance questions, durable category dominance, guaranteed future visibility, or proof that public files alone caused the effect.