web-visibility

Implements evidence-based SEO and AI answer-engine visibility using JSON-LD, robots.txt, and IndexNow.

3|1|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/ever-just/agentskills --skill web-visibility-ever-just
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-visibility
Source: https://github.com/ever-just/agentskills/tree/main/skills/web-visibility
Command: npx skills add https://github.com/ever-just/agentskills --skill web-visibility-ever-just

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Sites and products are often invisible to both classic search engines and AI answer engines like ChatGPT Search and Perplexity, and the field is full of hype-driven tactics that waste effort or actively hurt rankings. This Skill encodes what peer-reviewed research and official documentation actually show works, so you implement the right discoverability mechanisms and skip the rest. ## Core Features & Use Cases - Evidence hierarchy for every mechanism: Clear DO/SKIP/AVOID calls on JSON-LD structured data, AEO/GEO content patterns, robots.txt Content Signals, sitemaps, IndexNow, llms.txt, and deprecated tactics like FAQ rich results and the Google Indexing API. - Ready-to-use recipes and generators: JSON-LD templates for Organization, WebSite, BreadcrumbList, SoftwareApplication, and Article, plus robots.txt, llms.txt, and IndexNow submission patterns. - Audit and product-building workflows: A 7-step audit checklist for existing sites and guidance for baking visibility into generated sites by default. - Use Case: You are launching a SaaS marketing site. Use this Skill to generate valid JSON-LD from your content model, configure an AI-aware robots.txt, wire IndexNow pings on deploy, and apply the AEO content checklist so answer engines can cite your pages. ## Quick Start Audit my site's search and AI answer-engine visibility using the web-visibility skill and tell me which mechanisms to implement first.

Frequently Asked Questions about web-visibility

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make my site visible to ChatGPT Search and Perplexity?▼

AI answer-engine visibility comes primarily from valid JSON-LD structured data, being indexed in Bing (which gates roughly 87% of ChatGPT Search), and content with front-loaded answers, inline citations, statistics, and quotations. Peer-reviewed research shows citations and statistics are the biggest measurable levers.

What structured data should I add for SEO?▼

Add JSON-LD blocks in the page head: Organization and WebSite on the homepage, BreadcrumbList on catalog and docs pages, SoftwareApplication or Product on pricing pages, and Article on blog posts. Markup must match visible content and should be validated with Google's Rich Results Test.

Does llms.txt improve SEO rankings?▼

No, llms.txt is not an SEO lever. Data shows roughly 97% of llms.txt files are never fetched by AI vendors; only coding agents like Claude Code and Cursor reliably fetch it. Ship it cheaply as a developer convenience, but never treat it as a search ranking mechanism.

How does IndexNow work with Bing and Google?▼

IndexNow lets you POST changed URLs to api.indexnow.org after hosting a public key file at your domain root. Bing, Yandex, Naver, and Seznam honor it, while Google ignores it entirely. It is effectively uncapped, unlike the Bing Webmaster URL submission API limited to 50 URLs per day.

Which SEO tactics should I avoid for AI search?▼

Avoid keyword stuffing, which measurably hurts AI-answer visibility, and skip FAQ/HowTo rich-result markup (deprecated by Google), the Google Indexing API (limited to job postings and livestreams), fake aggregateRating markup, and speculative formats like agents.json. These waste effort or risk manual actions.