What is AI web readiness?

AI web readiness measures how well a website can be discovered, parsed, and cited by AI agents and large language models. It covers signals like /llms.txt, structured data, robots.txt AI crawler permissions, server-side rendering, and OpenGraph metadata.

What is /llms.txt and why does it matter?

/llms.txt is a plain text file placed at the root of a website that tells AI agents what the site is about, what it offers, and which pages to prioritize. Without it, AI agents have to guess your site's structure and purpose. It is the most impactful single change you can make for AI visibility.

How is the AI readiness score calculated?

The score is calculated across 14 weighted checks, each representing a signal that AI agents use when reading, classifying, or citing a website. Points are awarded on a pass/partial/fail basis, then normalized to a 0-100 scale. The checks cover /llms.txt (25 pts), structured data (15 pts), content readability (15 pts), and 11 additional signals.

Is AI readiness the same as SEO?

They overlap but are distinct. Traditional SEO optimizes for search engine crawlers and ranking algorithms. AI readiness optimizes for large language models and AI agents that read, summarize, and cite content directly. Many SEO best practices (structured data, fast load times, clear content) also help AI readiness, but AI-specific signals like /llms.txt have no SEO equivalent.

Which AI crawlers does the tool check for?

The tool checks for explicit permissions in robots.txt for GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended, anthropic-ai, cohere-ai, and meta-externalagent, among others.

Is this tool free to use?

Yes, AI Web Readiness is completely free to use. No account or sign-up is required. Simply enter a URL and get a full report in seconds.

hellotars.com - 90/100 Excellent

expand

Grade

Excellent

Your site speaks fluent agent. AI systems can discover, parse, and cite it cleanly.

Score

Passed

Failed

→No changesame score as previous scan (90)

Not sure where to start?

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Check breakdown10 passed · 4 failed

✓

AI agent manifest

/llms.txt found (20908 bytes).

25 / 25

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✓

Full-content AI feed

/llms-full.txt found (45826 bytes).

10 / 10

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Structured data

2 JSON-LD block(s) found (types: organization, imageobject, aggregaterating, contactpoint). Adding richer schema types would improve this score.

9 / 15

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Readable content ratio

14061 chars of text, 11.0% text-to-HTML ratio. Improving content density would raise this score.

14 / 15

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✓

Crawler-visible content

14066 chars server-rendered, 6 H1, 7 H2, 30 substantial paragraph(s).

10 / 10

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AI crawler permissions

Rules found for 7 AI agent(s): gptbot, claudebot, anthropic-ai, perplexitybot…. Add more agent-specific rules to reach full marks.

9 / 10

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✓

Page index

Valid sitemap with 6 URL entries.

10 / 10

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✓

Social and citation metadata

Present: og:title, og:description, og:image, og:site_name.

10 / 10

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✓

Page identity signals

title: 48 chars, description: 140 chars.

10 / 10

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✓

Canonical authority

Canonical: https://hellotars.com

5 / 5

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✓

Accessibility and speed

HTTPS confirmed, responded in 122ms.

5 / 5

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✓

Attribution schema

Found "organization" entity in JSON-LD. AI citation engines can attribute this content.

8 / 8

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Q&A schema

No FAQPage or HowTo schema found. Adding structured Q&A can significantly increase AI citations.

0 / 7

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✓

Content feed

Feed discovered via <link> tag: https://hellotars.com/feed.xml

6 / 6

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Fix this with AI

A complete brief covering all 4 outstanding issues, with the reason each one matters and the exact fix. Copy it into Claude, ChatGPT, Cursor, or any coding agent working on hellotars.com.

# AI readiness fixes for hellotars.com

Audit by AI Web Readiness (https://aiwebreadiness.com) on 2026-09-15. Full report: https://aiwebreadiness.com/report/3P3JWjKW7E
Current score: 90/100 (Excellent). 10 of 14 checks at full marks.

## Your task

You are working on the website https://hellotars.com. An automated audit measured how well this site can be discovered, parsed, and cited by AI agents and LLM-powered search engines. The issues it found are listed below, ordered by how many points each is worth.

Work through them in order, highest value first. For each issue, make the change in this site's codebase or CMS using the stack and conventions already in use. Where a fix needs copy, facts, or URLs you cannot verify from the existing site, ask me rather than inventing them.

There are 15 weighted points on the table across these 4 issues. Fixing all of them scores 100/100. If you only have time for the top 3, that alone is worth 14 points and takes the score to roughly 99/100.

---

## Issues to fix (4)

### 1. Q&A schema (7 points available)

**What the scan found:** No FAQPage or HowTo schema found. Adding structured Q&A can significantly increase AI citations.

**Why it matters:** FAQPage and HowTo schema mark up content in the exact format LLMs use to answer questions. Pages with this schema are cited at significantly higher rates.

**How to fix it:** On any page that contains questions and answers, add a FAQPage JSON-LD block with Question and Answer entities. Each Question needs a name (the question text) and an acceptedAnswer with a text property. For step-by-step content, use HowTo schema instead. Google's Rich Results Test can validate your implementation.

### 2. Structured data (6 points available, currently scoring 9 of 15)

**What the scan found:** 2 JSON-LD block(s) found (types: organization, imageobject, aggregaterating, contactpoint). Adding richer schema types would improve this score.

**Why it matters:** JSON-LD tells agents what type of entity you are, what you do, and how your content relates to the wider web. It is the vocabulary of machine understanding.

**How to fix it:** Add a <script type="application/ld+json"> block to your homepage <head>. At minimum include @context, @type (e.g. Organization, WebSite, or Article), name, url, and description. For higher scores add richer types like BreadcrumbList, Article, or Product on the relevant pages. Google's Structured Data Markup Helper is a good starting point.

### 3. Readable content ratio (1 point available, currently scoring 14 of 15)

**What the scan found:** 14061 chars of text, 11.0% text-to-HTML ratio. Improving content density would raise this score.

**Why it matters:** Measures how much of your page payload is actual text versus markup, scripts, and boilerplate. Low ratios signal bloated or ad-heavy pages that agents deprioritize.

**How to fix it:** Reduce inline scripts and styles, remove unused third-party widgets, and ensure your main content is substantial. Aim for at least 1,500 characters of visible body text and a text-to-HTML ratio above 10%. Moving scripts to external files and deferring non-critical CSS both help significantly.

### 4. AI crawler permissions (1 point available, currently scoring 9 of 10)

**What the scan found:** Rules found for 7 AI agent(s): gptbot, claudebot, anthropic-ai, perplexitybot…. Add more agent-specific rules to reach full marks.

**Why it matters:** Checks whether your robots.txt explicitly addresses AI agents like GPTBot, ClaudeBot, and PerplexityBot. Silence is ambiguous; explicit rules build trust and control.

**How to fix it:** Add explicit rules for AI crawlers to your /robots.txt file. To allow all AI agents: add "User-agent: GPTBot", "User-agent: ClaudeBot", "User-agent: PerplexityBot", "User-agent: Google-Extended", and "Allow: /" under each. To block specific agents, use "Disallow: /" instead. Each additional agent addressed improves your score.

---

## Ready-to-deploy /llms.txt

This draft was generated from the site's own metadata and links. Review the wording, correct anything inaccurate, then save it as a plain text file at the site root so it resolves at https://hellotars.com/llms.txt

```
# Tars AI Agents

> Tars builds AI Agents that resolve support issues and qualify leads across multiple channels. GDPR, SOC 2, and HIPAA compliant. Book a demo.

## Key Pages
- [Ai Agent Builder Platform](https://hellotars.com/ai-agent-builder-platform)
- [Customer Support Ai](https://hellotars.com/customer-support-ai)
- [Customer Acquisition Ai](https://hellotars.com/customer-acquisition-ai)
- [Tools](https://hellotars.com/tools)
- [Knowledge Base](https://hellotars.com/features/knowledge-base)
- [Ai Evaluation](https://hellotars.com/features/ai-evaluation)
- [Tools](https://hellotars.com/features/tools)
- [Ai Analytics](https://hellotars.com/features/ai-analytics)

## About
This file follows the /llms.txt convention, which provides AI agents and language models with a structured map of this site. Learn more at https://llmstxt.org.
```

---

## Already passing, do not regress

These signals are already at full marks. Preserve them while making the changes above:

- **AI agent manifest** (25 pts): /llms.txt found (20908 bytes).
- **Full-content AI feed** (10 pts): /llms-full.txt found (45826 bytes).
- **Crawler-visible content** (10 pts): 14066 chars server-rendered, 6 H1, 7 H2, 30 substantial paragraph(s).
- **Page index** (10 pts): Valid sitemap with 6 URL entries.
- **Social and citation metadata** (10 pts): Present: og:title, og:description, og:image, og:site_name.
- **Page identity signals** (10 pts): title: 48 chars, description: 140 chars.
- **Canonical authority** (5 pts): Canonical: https://hellotars.com
- **Accessibility and speed** (5 pts): HTTPS confirmed, responded in 122ms.
- **Attribution schema** (8 pts): Found "organization" entity in JSON-LD. AI citation engines can attribute this content.
- **Content feed** (6 pts): Feed discovered via <link> tag: https://hellotars.com/feed.xml

---

## When you are done

Deploy the changes, then rescan hellotars.com at https://aiwebreadiness.com to confirm the score moved. The report tracks the delta between scans automatically.

Click the box to select all · 6,227 characters

/llms.txt draft

Ready-to-deploy file. Drop it in your site root so AI agents can find a structured map of what you offer.

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