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.veganvstravel.com - 58/100 Fair

expand

Grade

Fair

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

Score

+3 / 7 bonus

Passed

Partial

Failed

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Check breakdown9 passed · 4 partial · 7 failed

AI agent manifest

No /llms.txt found (status 404).

0 / 10

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llms.txt quality

There is no usable /llms.txt to evaluate. Add one first.

0 / 6

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Full-content AI feed

No /llms-full.txt found (status 429).

0 / 3

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✓

Indexability

The homepage can be indexed: no noindex directive, and robots.txt does not block search crawlers.

10 / 10

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Structured data

No JSON-LD structured data found on the homepage.

0 / 9

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Attribution schema

No Organization or Person entity, and no author or publisher property, found in JSON-LD structured data.

0 / 5

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Readable content ratio

9316 chars of text, 1.9% text-to-HTML ratio. Improving content density would raise this score.

3.5 / 7

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Crawler-visible content

9316 chars server-rendered, 0 H1, 54 H2, 3 substantial paragraph(s). Add more structured content to improve this score.

6.5 / 8

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✓

AI crawler permissions

Open to all 14 tracked AI agents.

8 / 8

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✓

Page index

Valid sitemap at /sitemap.xml with 259 URL entries.

6 / 6

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Social and citation metadata

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

3.5 / 4

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✓

Page identity signals

title: 48 chars, description: 87 chars.

7 / 7

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✓

Canonical authority

Canonical: https://www.veganvstravel.com/

4 / 4

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✓

Redirect and host health

Good: http redirects to https, veganvstravel.com redirects to the main host, a single redirect.

4 / 4

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✓

Accessibility and speed

HTTPS confirmed, homepage downloaded in 117ms.

3 / 3

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Semantic structure

Issues: no H1; no <main> landmark; only 3 of 78 images have alt text.

3 / 6

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Q&A schemabonus

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

0 / 2

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✓

Content feedbonus

Feed advertised via <link> tag: https://www.veganvstravel.com/feeds/posts/default

1 / 1

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Agent discovery endpointsbonus

No agent discovery documents found (MCP server card, A2A agent card, API catalog, agents.json, or OpenAPI description).

0 / 2

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✓

Content freshnessbonus

259 date signal(s) found. Most recent: 10-Nov-2026.

2 / 2

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Fix this with AI

A complete brief covering all 11 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.veganvstravel.com.

# AI readiness fixes for www.veganvstravel.com

Audit by AI Web Readiness (https://aiwebreadiness.com) on 2026-11-11. Full report: https://aiwebreadiness.com/report/lnofjz303A
Current score: 58/100 (Fair). 9 of 20 checks at full marks.

## Your task

You are working on the website https://www.veganvstravel.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 41.5 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 25 points and takes the score to 83/100.

---

## Issues to fix (9)

### 1. AI agent manifest (10 points available)

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

**Why it matters:** An llms.txt file is a short, plain-text briefing written for AI agents. It states what your site is, what you offer and which pages matter most, so an agent can understand you in seconds instead of crawling dozens of pages and guessing. Without it, an assistant has to infer your purpose from whatever it happens to find, and it may describe you inaccurately or skip you.

**How to fix it:** Create a plain text file at /llms.txt in your site root. It should start with a # Title line, a short > description, and a list of your key pages as markdown links. Use the draft generated below as your starting point. It is ready to deploy as-is.

### 2. Structured data (9 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.

### 3. llms.txt quality (6 points available)

**What the scan found:** There is no usable /llms.txt to evaluate. Add one first.

**Why it matters:** Agents rely on that structure to decide where to go next. A file that is just a paragraph of prose, or one full of broken or off-site links, gives them little to act on and can send them to dead ends. A well-formed file works like a trustworthy table of contents: it tells an assistant which pages answer which questions, which makes it more likely your best pages are the ones that get read and cited.

**How to fix it:** Follow the llmstxt.org format. Start with a single "# Site name" line, add a "> one sentence summary" blockquote, then group at least three markdown links under "## Section" headings, written as "- [Page name](https://yoursite.com/page): what it covers". Keep links on your own domain and make sure each one loads.

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

**What the scan found:** No Organization or Person entity, and no author or publisher property, 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.

### 5. Readable content ratio (3.5 points available, currently scoring 3.5 of 7)

**What the scan found:** 9316 chars of text, 1.9% 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.

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

**What the scan found:** No /llms-full.txt found (status 429).

**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.

### 7. Semantic structure (3 points available, currently scoring 3 of 6)

**What the scan found:** Issues: no H1; no <main> landmark; only 3 of 78 images have alt text.

**Why it matters:** Agents cannot see your design. They read the structure of the markup to work out what the page is about, which part is the main content and how it is organised. Clean headings and landmarks let them extract the right text and skip navigation and footers. A page built from anonymous containers is much harder to interpret, so its content is more likely to be misread or left out.

**How to fix it:** Use exactly one <h1> per page and do not skip heading levels (h1, h2, h3 in order). Wrap primary content in <main>. Set <html lang='en'> (or your language). Add <meta name='viewport' content='width=device-width, initial-scale=1'>. Give meaningful images an alt attribute.

### 8. Crawler-visible content (1.5 points available, currently scoring 6.5 of 8)

**What the scan found:** 9316 chars server-rendered, 0 H1, 54 H2, 3 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.

### 9. Social and citation metadata (0.5 points available, currently scoring 3.5 of 4)

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

**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.

---

## Optional bonus checks

These are scored separately from the 100-point core and do not change the headline score. They only apply if they fit the site. Skip any that do not make sense for what this site is.

- **Q&A schema** (up to 2 more points): No FAQPage or HowTo schema found. Adding structured Q&A can significantly increase AI citations. How: 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.
- **Agent discovery endpoints** (up to 2 more points): No agent discovery documents found (MCP server card, A2A agent card, API catalog, agents.json, or OpenAPI description). How: Publish at least one machine-readable discovery document that applies to you, for example /.well-known/mcp.json for an MCP server, /.well-known/agent-card.json for an A2A agent, /.well-known/api-catalog for your APIs, or /openapi.json for a REST API. Two or more earn full marks.

---

## 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.veganvstravel.com/llms.txt

```
# VeganVsTravel.com | A blog for travelling vegans

> Vegan travel blog with tips for traveling vegans PLUS answers for hard vegan questions!

## Key Pages
- [Contact.Html](https://www.veganvstravel.com/p/contact.html)
- [Privacy Policy.Html](https://www.veganvstravel.com/p/privacy-policy.html)
- [Questions.Html](https://www.veganvstravel.com/p/questions.html)
- [Destinations.Html](https://www.veganvstravel.com/p/destinations.html)
- [About.Html](https://www.veganvstravel.com/p/about.html)
- [Vegan Campervan Food Guide Iceland.Html](https://www.veganvstravel.com/2026/10/vegan-campervan-food-guide-iceland.html)
- [Vegan%20iceland](https://www.veganvstravel.com/search/label/vegan%20iceland)
- [Travel Nanny Benefits Vegan Family Vacations.Html](https://www.veganvstravel.com/2026/10/travel-nanny-benefits-vegan-family-vacations.html)

## 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:

- **Indexability** (10 pts): The homepage can be indexed: no noindex directive, and robots.txt does not block search crawlers.
- **AI crawler permissions** (8 pts): Open to all 14 tracked AI agents.
- **Page index** (6 pts): Valid sitemap at /sitemap.xml with 259 URL entries.
- **Page identity signals** (7 pts): title: 48 chars, description: 87 chars.
- **Canonical authority** (4 pts): Canonical: https://www.veganvstravel.com/
- **Redirect and host health** (4 pts): Good: http redirects to https, veganvstravel.com redirects to the main host, a single redirect.
- **Accessibility and speed** (3 pts): HTTPS confirmed, homepage downloaded in 117ms.
- **Content feed** (1 pts): Feed advertised via <link> tag: https://www.veganvstravel.com/feeds/posts/default
- **Content freshness** (2 pts): 259 date signal(s) found. Most recent: 10-Nov-2026.

---

## When you are done

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

Click the box to select all · 12,445 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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