SILVERBACK MARKETING PRESENTS

AI READINESS KIT

A skill that tells ChatGPT exactly who you are, before they guess wrong.

17 FILES7 CATEGORIESDEPLOY READY
Explore the Files Get the Skill
17 AI Readiness Kit files orbiting a central hub, connecting your brand to AI systems
THE NEW FRONT DOOR

AI is where research starts. Is your brand ready?

When people want the best product, the right service, or an answer, they ask ChatGPT, Claude, Gemini or Perplexity before they visit a website. Research from Princeton and Georgia Tech formalizes this shift as generative engines that synthesize answers from multiple web sources.

AI crawlers such as GPTBot and ClaudeBot ingest site content; the llms.txt standard gives LLMs a structured map. Without clear, current, structured signals from you, they guess, and often guess wrong, sending people to competitors or giving outdated information.
Person comparing AI assistant answers before choosing a website to visit
THE SOLUTION

The AI Readiness Kit

Purpose-built files you place at the root of your website. They speak the language AI systems already understand, so your brand shows up accurately, completely, and on your terms.

Control Access
Tell major AI crawlers — GPTBot, ClaudeBot, Google-Extended, PerplexityBot — exactly what they can and cannot see.
Give the Full Story
Cheat sheets and deep dives written for LLMs and RAG pipelines.
Map Intent
Route real user questions straight to the best page on your site.
Set the Rules
Publish clear policies on training data use and AI transparency.
COMPLETE REFERENCE

The Files

Every file in the AI Readiness Kit, organized by category with samples and download links.

THE FILES

What makes a site AI-ready?

These files across 7 categories are what determine whether AI systems can accurately understand and recommend your website.

These are the files that determine how ready your site is for AI discovery.

Full deployment of critical + high priority files typically yields 85%+ readiness

Identity & Permissions
robots.txt(robots.txt)
Critical
ai.txt(ai.txt)
Critical
Content Files
llms.txt(llms.txt)
Critical
llms-full.txt(llms-full.txt)
Critical
Map & Navigation
ai-sitemap.xml(ai-sitemap.xml)
High
sitemap.md(sitemap.md)
Medium
Intelligence Files
ai-entities.json(ai-entities.json)
High
ai-intent.json(ai-intent.json)
High
ai-schema.json(ai-schema.json)
High
.well-known/ai-plugin.json(.well-known/ai-plugin.json)
Medium
Research Files
rag-index.json(rag-index.json)
High
rag-index.jsonl(rag-index.jsonl)
High
Policy Files
ai-disclosure.txt(ai-disclosure.txt)
Medium
training-data-policy.txt(training-data-policy.txt)
Medium
Operations Files
structured-data-guide.md(structured-data-guide.md)
Low
manifest.json(manifest.json)
Medium
deployment-checklist.md(deployment-checklist.md)
Internal

See the full reference with descriptions and samples in The Files.

FOUR PHASES

How to become AI-ready

01
Start with Critical

Deploy robots.txt, ai.txt, llms.txt, and llms-full.txt first. These deliver the biggest immediate impact.

02
Map Your Site

Add ai-sitemap.xml and the human-readable sitemap.md so AI systems can discover and understand every page efficiently.

03
Add Intelligence

Create the JSON intelligence files (entities, intent, schema) and the RAG research indexes. This is where precision happens.

04
Publish Policies & Maintain

Add disclosure and training policies. Use the manifest and checklist to keep everything current and auditable.

Everything you need is in the guide.

The original plain-English reference with real-world analogies and exact implementation recommendations for each file. Read it on the site or download the PDF.

Read the full guideDownload PDF (opens in a new tab)

CASE STUDY · REJUVENATE SKIN SPA

The proof is in the pudding.

We deployed this exact kit for Rejuvenate Skin Spa, a medical spa in Queen Creek, Arizona — full file set, markdown mirrors, and structured data. Now, when Perplexity answers questions about Plexr skin tightening in Queen Creek, Rejuvenate is the cited source.

1st
Cited source on Perplexity
17
AI readiness files deployed
100%
Key pages markdown-mirrored
Don’t take our word — ask PerplexityRead the case study (opens in a new tab)

Citation verified July 2026 · live AI answers can change over time

MCP SERVER

Connect your coding agent in one URL

The AI Readiness Kit is available as a hosted Model Context Protocol server. Point Cursor, Claude Code, VS Code, Codex, or Antigravity at a single endpoint — no API key, no local install — and generate all 17 files for any website.

6 tools
2 resources
1 prompt
No API key
Production endpoint

Streamable HTTP URL

https://ai.silverbackmarketing.com/api/mcp

Transport: Streamable HTTP · Auth: none · Works with any HTTP-capable MCP client

What the server exposes

Six tools, two bundled resources (skill + file specs), and a ready-made prompt for any domain.

generate_ai_readiness_files

Start the full 18-file workflow for any domain

Args: url

list_output_files

List all output files in generation order

get_file_spec

Detailed spec for one file (llms.txt, ai-entities.json, …)

Args: filename

get_skill_instructions

Full research and generation workflow (SKILL.md)

get_site_classification_guide

Site-type taxonomy (SaaS, e-commerce, healthcare, …)

generate_rag_jsonl

Convert rag-index.json to JSONL for embedding pipelines

Args: rag_index_json

SETUP

Add to your agent

Same endpoint everywhere — only the config file and JSON shape change per client.

Claude Code
Streamable HTTP
.mcp.json

Configuration

{
  "mcpServers": {
    "ai-readiness": {
      "type": "http",
      "url": "https://ai.silverbackmarketing.com/api/mcp"
    }
  }
}
  1. 1.Add .mcp.json to your project root, or run: claude mcp add --transport http ai-readiness https://ai.silverbackmarketing.com/api/mcp
  2. 2.Restart the Claude Code session and run /mcp to verify.
  3. 3.Try: "Generate AI readiness files for mysite.com using ai-readiness"
Try it

After connecting, paste any of these prompts into your agent:

Generate AI readiness files for example.com

Generate AI readiness files for example.com

Use ai-readiness to list all 17 output files

Use ai-readiness to list all 17 output files

Get the file spec for llms.txt from ai-readiness

Get the file spec for llms.txt from ai-readiness
FAQ

Common questions about AI readiness

Plain-English answers from the AI Readiness Guide, organized by the same 7 categories as the kit.

Read the complete FAQ (58 questions on files, skill, MCP & more)

Getting Started

The basics of AI readiness and why it matters for every website.

What are AI Readiness Files?
They are structured files you deploy at the root of your website to tell AI systems exactly who you are, what you offer, and where to send people. They speak a format AI already understands, so assistants stop guessing about your brand based on old training data.
Why does AI readiness matter now?
When someone wants a product recommendation, a service provider, or a straight answer, they often ask ChatGPT, Claude, Gemini, or Perplexity before they visit a website. If you are not giving those systems clear, current signals, they guess. And they often guess wrong.
Does the AI Readiness Kit actually work?
Yes — it is proven on live client sites. Rejuvenate Skin Spa, a medical spa in Queen Creek, Arizona, deployed the full kit (17 readiness files, 100% of key pages markdown-mirrored, complete structured data), and Perplexity now cites Rejuvenate as the source when answering questions about Plexr skin tightening in Queen Creek. Read the case study at https://silverbackmarketing.com/case-study/rejuvenate-skin-spa or verify the citation yourself by asking Perplexity.
How many files are in the kit?
The kit includes 17 purpose-built files across 7 categories: Identity & Permissions, Content Files, Map & Navigation, Intelligence Files, Research Files, Policy Files, and Operations Files. Each one helps AI understand and represent your site more accurately.
Where should I start?
Start with the critical files: robots.txt, ai.txt, llms.txt, and llms-full.txt. They deliver the biggest immediate impact and are what most AI systems look for first. Then add sitemaps, intelligence JSON files, policies, and operational files using the deployment checklist.

Identity & Permissions

How you introduce your brand and control AI crawler access.

What does robots.txt do for AI?
robots.txt sits at the front door of your website and tells automated visitors (search engines, AI bots, and scrapers) which sections they can access. For AI readiness, it includes instructions for major crawlers like GPTBot and ClaudeBot, pointing them toward your llms.txt and ai-sitemap.xml while keeping checkout, login, and admin pages off limits.
What is ai.txt?
ai.txt is your brand's introduction to every AI system on the internet. Where robots.txt controls access, ai.txt goes further. It covers what you sell, what you are known for, your authoritative topics, and the rules for what AI systems can and cannot do with your content.
How is ai.txt different from robots.txt?
robots.txt controls access: which pages bots can crawl. ai.txt controls identity: who you are, what you offer, and your ground rules for AI use of your content. Think of robots.txt as the doorman and ai.txt as the briefing document you hand a journalist before an interview.

Content & Navigation

Files that give AI the full story and a map of your site.

What is llms.txt?
llms.txt is a structured text file built for large language models. It gives AI a quick map of your website: company name, description, organized sections with direct links, and the most common questions your site answers. It follows the llmstxt.org standard used by ChatGPT, Claude, Gemini, and Perplexity.
What's the difference between llms.txt and llms-full.txt?
llms.txt is the cheat sheet: a quick summary an AI can scan in seconds. llms-full.txt is the deep dive with rich descriptions, detailed Q&A, and full category explanations. If llms.txt is a Wikipedia summary, llms-full.txt is the full article.
Why do I need an ai-sitemap.xml?
A regular sitemap lists pages and timestamps. The ai-sitemap adds what each page is about, its content type, and a plain-English summary. It is the difference between a paper road map and GPS with points of interest. AI crawlers can understand pages without fetching and parsing each one individually.

Intelligence & Research

Structured data that powers accurate AI answers and retrieval.

What is ai-intent.json?
ai-intent.json maps real user questions (the things people type into AI assistants) to the best page on your website to answer each one. Without it, AI guesses which page to recommend. With it, you give AI a direct URL for every common query.
What are ai-entities.json and ai-schema.json for?
ai-entities.json is a structured catalog of the important parts of your site: products, categories, services, and key concepts. It powers AI knowledge graphs. ai-schema.json uses the Schema.org standard to describe your organization in machine-readable format so search engines and AI systems can identify you without ambiguity.
What are the RAG index files?
rag-index.json and rag-index.jsonl are ready-made indexes of your site built for AI research and retrieval pipelines. When a user asks a question, AI first pulls the most relevant documents from this index before generating an answer, which keeps responses grounded in your actual content.

Policies & Maintenance

Rules for AI use of your content and keeping files current.

What is a training data policy?
training-data-policy.txt sets formal rules for how AI companies can use your content, including model training, RAG indexing, and commercial use. It answers a practical question every brand should decide upfront: what are others allowed to do with your work?
What is ai-disclosure.txt?
ai-disclosure.txt is a public transparency report explaining how your organization uses AI, whether for content generation, recommendations, or customer interactions. It builds trust by answering those questions before someone has to ask.
How often should I update my AI readiness files?
It depends on the file. Update llms.txt and sitemaps monthly or when your site structure changes. Refresh ai.txt and llms-full.txt quarterly or when products change. Review policy files annually. The manifest.json file lists recommended update frequencies for every file in the kit.

Research & standards

Sources cited on this page

Claims about how AI assistants and crawlers use web content are grounded in published research, open standards, and vendor documentation, not marketing guesswork.

Generative engine research

LLM site summary standard

AI permissions & sitemaps

Structured data & plugins

MCP & agent tooling

AI crawler documentation