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 20 weighted checks, each representing a signal that AI agents use when reading, classifying, or citing a website. Each check is a pass, partial, or fail, and the points add up to a score out of 100. The checks cover indexability (10 pts), /llms.txt (10 pts), structured data (9 pts), robots.txt AI permissions (8 pts), and further signals totalling 100 core points, plus four optional bonus checks.

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.

www.ahss-hospitality.com - 48/100 Fair

expand

Grade

Fair

Agents can find you, but key signals are missing. Worth a focused pass.

Score

Passed

Partial

Failed

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This report was produced with an earlier scoring model. Rescan to see the current 20-check score, which is not directly comparable.

Check breakdown5 passed · 2 partial · 7 failed

✓

AI agent manifest

/llms.txt found (37303 bytes).

25 / 25

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Full-content AI feed

No /llms-full.txt found (status 404).

0 / 10

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Structured data

No JSON-LD structured data found on the homepage.

0 / 15

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Readable content ratio

151 chars of text, 2.0% text-to-HTML ratio. Improving content density would raise this score.

0 / 15

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Crawler-visible content

151 chars server-rendered, 0 H1, 1 H2, 0 substantial paragraph(s). Add more structured content to improve this score.

5 / 10

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AI crawler permissions

robots.txt exists but defines no rules for AI agents (GPTBot, ClaudeBot, etc.).

0 / 10

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✓

Page index

Valid sitemap with 14 URL entries.

10 / 10

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Social and citation metadata

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

9 / 10

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✓

Page identity signals

title: 47 chars, description: 95 chars.

10 / 10

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Canonical authority

No <link rel="canonical"> tag found.

0 / 5

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✓

Accessibility and speed

HTTPS confirmed, responded in 115ms.

5 / 5

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Attribution schema

No author, publisher, Person, or Organization found in JSON-LD structured data.

0 / 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

Content feed found at https://www.ahss-hospitality.com/feed.

6 / 6

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Fix this with AI

A complete brief covering all 9 outstanding issues, with the reason each one matters and the exact fix. Copy it into Claude, ChatGPT, Cursor, or any coding agent working on www.ahss-hospitality.com.

# AI readiness fixes for www.ahss-hospitality.com

Audit by AI Web Readiness (https://aiwebreadiness.com) on 2026-10-07. Full report: https://aiwebreadiness.com/report/z0uyiA36cl
Current score: 48/100 (Fair). 5 of 14 checks at full marks.

## Your task

You are working on the website https://www.ahss-hospitality.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 76 points on the table across these 9 issues. Fixing all of them reaches 100/100. If you only have time for the top 3, that alone is worth 40 points and takes the score to 100/100.

---

## Issues to fix (9)

### 1. Structured data (15 points available)

**What the scan found:** No JSON-LD structured data found on the homepage.

**Why it matters:** JSON-LD states plainly, in a format machines read without guessing, who you are, what you offer and how your pages relate to each other. Search engines and AI systems use it to build their understanding of an entity and to decide what to show or quote. Without it, they must infer meaning from layout and wording, and the inference is often wrong or shallow. Richer, more specific types give agents more facts they can use with confidence.

**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.

### 2. Readable content ratio (15 points available)

**What the scan found:** 151 chars of text, 2.0% text-to-HTML ratio. Improving content density would raise this score.

**Why it matters:** AI crawlers read pages under strict size and time limits. A page that is mostly code, trackers and layout markup gives them very little real content for the effort and tends to be deprioritised or truncated. A page with a healthy amount of readable text is quick to process and easy to summarise, which makes it more likely to be understood correctly and used as a source.

**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 1,000 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.

### 3. Full-content AI feed (10 points available)

**What the scan found:** No /llms-full.txt found (status 404).

**Why it matters:** Where llms.txt is a map, llms-full.txt is the whole territory: the full text of your key pages in one place. An agent with limited time or a limited context window can read your content in a single request, with no page-by-page crawling and no risk of missing something behind navigation or scripts. It is a small file to publish, and it lets AI tools represent your content accurately and completely.

**How to fix it:** Create /llms-full.txt at your site root containing the full text of your most important pages, concatenated in order. Each page should be separated by a clear heading. Many static site generators and CMS platforms have plugins that generate this automatically.

### 4. AI crawler permissions (10 points available)

**What the scan found:** robots.txt exists but defines no rules for AI agents (GPTBot, ClaudeBot, etc.).

**Why it matters:** Robots.txt is the first thing a well-behaved crawler reads, and a block there means the agent never sees your content at all. Some sites block AI agents on purpose, which is a legitimate choice, but many do it by accident through an overly broad rule or a security plugin. This check shows the real consequence: every agent that is shut out cannot read, learn from or cite your site.

**How to fix it:** Do not Disallow: / for the AI crawlers you want reading your site, and do not block them with a blanket User-agent: * rule. Optionally name them explicitly with Allow: / rules (GPTBot, ClaudeBot, PerplexityBot, Google-Extended). Blocking an agent is a legitimate choice, but it lowers this score. Publish a /robots.txt even if it only allows everything and points at your sitemap.

### 5. Attribution schema (8 points available)

**What the scan found:** No author, publisher, Person, or Organization found in JSON-LD structured data.

**Why it matters:** When an AI assistant quotes or recommends a source, it needs to know who stands behind the content. Clear attribution data lets it credit you by name, connect your site to your profiles and reputation, and trust that the content comes from a real, identifiable author or organization. Anonymous content is easier to ignore, and harder to cite with confidence.

**How to fix it:** Add an Organization (or Person) entity to your JSON-LD with a name, a url, a logo, and sameAs links to your official profiles (LinkedIn, Wikipedia, social accounts). On articles and content pages, add author and publisher properties that reference those entities.

### 6. 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:** Assistants answer people's questions, and question-and-answer markup is already in the shape they need: a clear question with a clear answer. Pages that provide it hand agents ready-made, quotable answers with your name attached, and they tend to be cited more often. If your site has no questions to answer or steps to explain, you can safely skip this.

**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.

### 7. Crawler-visible content (5 points available, currently scoring 5 of 10)

**What the scan found:** 151 chars server-rendered, 0 H1, 1 H2, 0 substantial paragraph(s). Add more structured content to improve this score.

**Why it matters:** Many AI crawlers do not run JavaScript. If your site builds its content in the browser, those crawlers receive an almost empty page and conclude that there is nothing here, even though a human visitor sees a full site. Delivering content in the initial HTML, through server rendering or static generation, is what makes it visible to the widest range of search engines and AI tools.

**How to fix it:** Ensure your pages use server-side rendering (SSR) or static generation so content appears in the raw HTML response. If you use React, Next.js, or similar frameworks, enable SSR or SSG. At minimum your H1, primary heading structure, and first few paragraphs of content should be present without JavaScript.

### 8. Canonical authority (5 points available)

**What the scan found:** No <link rel="canonical"> tag found.

**Why it matters:** The same page is often reachable at several addresses, such as with and without www, with tracking parameters, or through old links. The canonical tag tells search engines and agents which address is the real one so that your authority is gathered in one place. A missing tag splits that authority, and a wrong one can tell search engines to drop your pages in favour of an address that does not exist.

**How to fix it:** Add <link rel="canonical" href="https://yourdomain.com/page-url"> to the <head> of every page. Use an absolute URL on your own domain that returns a 200 and matches the page itself. Never point it at a staging, old, or unrelated domain.

### 9. Social and citation metadata (1 point available, currently scoring 9 of 10)

**What the scan found:** Present: og:title, og:description, og:site_name.

**Why it matters:** OpenGraph tags are the headline, summary and picture that others see when your page is shared, previewed or cited. AI assistants and link-preview systems use them to describe your page quickly and consistently. When they are missing, the tool has to improvise from the page body, and the result is often an awkward title, a wrong summary or no image at all.

**How to fix it:** Add OpenGraph meta tags to your page <head>: og:title (your page title), og:description (a 1-2 sentence summary), og:image (a representative image URL), and og:site_name (your brand name). Each tag present adds to your score. These same tags are used by social platforms when your content is shared.

---

## 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://www.ahss-hospitality.com/llms.txt

```
# Absa Hospitality Solutions is under maintenance - We are doing some work on our site. Please come back later. We'll be up and running in no time.

> We are doing some work on our site. Please come back later. We'll be up and running in no time.

## Key Pages
- [Home](https://www.ahss-hospitality.com/)

## 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 (37303 bytes).
- **Page index** (10 pts): Valid sitemap with 14 URL entries.
- **Page identity signals** (10 pts): title: 47 chars, description: 95 chars.
- **Accessibility and speed** (5 pts): HTTPS confirmed, responded in 115ms.
- **Content feed** (6 pts): Content feed found at https://www.ahss-hospitality.com/feed.

---

## When you are done

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

Click the box to select all · 10,364 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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