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.

laresult.ru - 78/100 Good - AI Web Readiness

expand

Grade

Good

Solid foundation. A few targeted fixes will push you to excellent.

Score

+4 / 7 bonus

Passed

Partial

Failed

Not sure where to start?

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Page-level checks used the homepage plus 3 inner pages: /about, /audit-otdela-prodazh, /crm

Inner page notes (shown for information, they do not lower your score)

/about: Social and citation metadata scored 0 of 4. No OpenGraph tags found.
/audit-otdela-prodazh: Social and citation metadata scored 0 of 4. No OpenGraph tags found.
/crm: Social and citation metadata scored 0 of 4. No OpenGraph tags found.
/about: Canonical authority scored 0 of 4. No <link rel="canonical"> tag found.
/audit-otdela-prodazh: Canonical authority scored 0 of 4. No <link rel="canonical"> tag found.
/crm: Canonical authority scored 0 of 4. No <link rel="canonical"> tag found.

Check breakdown12 passed · 2 partial · 6 failed

✓

AI agent manifest

/llms.txt found (2088 bytes).

10 / 10

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✓

llms.txt quality

Has a title, a summary, 2 sections, 10 links, links on your own domain, working links.

6 / 6

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Full-content AI feed

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

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

1 JSON-LD block(s) found (types: faqpage, question, answer). Adding richer schema types would improve this score. Counted across the homepage and 3 inner pages.

4.5 / 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

19023 chars of text, 23.0% text-to-HTML ratio. Page scores (homepage first): 7, 6.5, 7, 7 of 7. Inner pages can raise this score but never lower it.

7 / 7

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✓

Crawler-visible content

19023 chars server-rendered, 1 H1, 23 H2, 37 substantial paragraph(s). Page scores (homepage first): 8, 8, 8, 8 of 8. Inner pages can raise this score but never lower it.

8 / 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 10 URL entries.

6 / 6

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Social and citation metadata

No OpenGraph tags found. Page scores (homepage first): 0, 0, 0, 0 of 4. Inner pages can raise this score but never lower it.

0 / 4

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✓

Page identity signals

title: 57 chars, description: 155 chars. Page scores (homepage first): 7, 7, 5.5, 7 of 7. Inner pages can raise this score but never lower it.

7 / 7

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Canonical authority

No <link rel="canonical"> tag found. Page scores (homepage first): 0, 0, 0, 0 of 4. Inner pages can raise this score but never lower it.

0 / 4

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✓

Redirect and host health

Good: http redirects to https, www.laresult.ru does not compete, no redirect needed.

4 / 4

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✓

Accessibility and speed

HTTPS confirmed, homepage downloaded in 816ms.

3 / 3

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Semantic structure

Issues: no <main> landmark. Page scores (homepage first): 5, 4, 4, 5 of 6. Inner pages can raise this score but never lower it.

5 / 6

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✓

Q&A schemabonus

FAQPage schema found with 6 Question(s). LLMs cite structured Q&A heavily. Counted across the homepage and 3 inner pages.

2 / 2

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Content feedbonus

No RSS or Atom feed detected. A content feed signals an actively updated site that agents should re-index.

0 / 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

10 date signal(s) found. Most recent: 06-Oct-2026.

2 / 2

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Fix this with AI

A complete brief covering all 8 outstanding issues, with the reason each one matters and the exact fix. Copy it into Claude, ChatGPT, Cursor, or any coding agent working on laresult.ru.

# AI readiness fixes for laresult.ru

Audit by AI Web Readiness (https://aiwebreadiness.com) on 2026-10-25. Full report: https://aiwebreadiness.com/report/6E8wAwT8U0
Current score: 78/100 (Good). 12 of 20 checks at full marks.

## Your task

You are working on the website https://laresult.ru. 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 21.5 points on the table across these 6 issues. Fixing all of them reaches 100/100. If you only have time for the top 3, that alone is worth 13.5 points and takes the score to 92/100.

---

## Issues to fix (6)

### 1. 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.

### 2. Structured data (4.5 points available, currently scoring 4.5 of 9)

**What the scan found:** 1 JSON-LD block(s) found (types: faqpage, question, answer). Adding richer schema types would improve this score. Counted across the homepage and 3 inner pages.

**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. Social and citation metadata (4 points available)

**What the scan found:** No OpenGraph tags found. Page scores (homepage first): 0, 0, 0, 0 of 4. Inner pages can raise this score but never lower it.

**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.

### 4. Canonical authority (4 points available)

**What the scan found:** No <link rel="canonical"> tag found. Page scores (homepage first): 0, 0, 0, 0 of 4. Inner pages can raise this score but never lower it.

**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.

### 5. Full-content AI feed (3 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.

### 6. Semantic structure (1 point available, currently scoring 5 of 6)

**What the scan found:** Issues: no <main> landmark. Page scores (homepage first): 5, 4, 4, 5 of 6. Inner pages can raise this score but never lower it.

**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.

---

## 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.

- **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.
- **Content feed** (up to 1 more points): No RSS or Atom feed detected. A content feed signals an actively updated site that agents should re-index. How: Create an RSS or Atom feed at /feed.xml or /rss.xml listing your most recent content with title, link, description, and pubDate per item. Add a <link rel="alternate" type="application/rss+xml" href="/feed.xml"> tag to your <head> so agents can discover it automatically. A feed that exists but is not advertised earns partial credit.

---

## 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://laresult.ru/llms.txt

```
# Построение отдела продаж под ключ за 3 месяца | LA'RESULT

> Строим прогнозируемый отдел продаж за 3 месяца: стратегия, найм, обучение, CRM и управление на цифрах. Более 100 построенных отделов продаж по всей России.

## Key Pages
- [About](https://laresult.ru/about)
- [Audit Otdela Prodazh](https://laresult.ru/audit-otdela-prodazh)
- [Crm](https://laresult.ru/crm)
- [Podbor Menedzherov Po Prodazham](https://laresult.ru/podbor-menedzherov-po-prodazham)
- [Upravlenie Otdelom Prodazh](https://laresult.ru/upravlenie-otdelom-prodazh)
- [Partners](https://laresult.ru/partners)
- [Privacy](https://laresult.ru/privacy)
- [Ads Consent](https://laresult.ru/ads-consent)

## 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** (10 pts): /llms.txt found (2088 bytes).
- **llms.txt quality** (6 pts): Has a title, a summary, 2 sections, 10 links, links on your own domain, working links.
- **Indexability** (10 pts): The homepage can be indexed: no noindex directive, and robots.txt does not block search crawlers.
- **Readable content ratio** (7 pts): 19023 chars of text, 23.0% text-to-HTML ratio. Page scores (homepage first): 7, 6.5, 7, 7 of 7. Inner pages can raise this score but never lower it.
- **Crawler-visible content** (8 pts): 19023 chars server-rendered, 1 H1, 23 H2, 37 substantial paragraph(s). Page scores (homepage first): 8, 8, 8, 8 of 8. Inner pages can raise this score but never lower it.
- **AI crawler permissions** (8 pts): Open to all 14 tracked AI agents.
- **Page index** (6 pts): Valid sitemap at /sitemap.xml with 10 URL entries.
- **Page identity signals** (7 pts): title: 57 chars, description: 155 chars. Page scores (homepage first): 7, 7, 5.5, 7 of 7. Inner pages can raise this score but never lower it.
- **Redirect and host health** (4 pts): Good: http redirects to https, www.laresult.ru does not compete, no redirect needed.
- **Accessibility and speed** (3 pts): HTTPS confirmed, homepage downloaded in 816ms.
- **Q&A schema** (2 pts): FAQPage schema found with 6 Question(s). LLMs cite structured Q&A heavily. Counted across the homepage and 3 inner pages.
- **Content freshness** (2 pts): 10 date signal(s) found. Most recent: 06-Oct-2026.

---

## When you are done

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

Click the box to select all · 10,528 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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