Score Index Mailchimp

71/100

AI Readiness Score · Marketing

Mailchimp

mailchimp.com
Grade BScanned 24 July 2026

This site

71/100

Average across all scans

41/100

AI Search Ready threshold

90/100

Gap to close

19 pts

Score breakdown

Agent Permissions

5/7 checks passed

24/30

Content Discoverability

4/5 checks passed

21/25

Structured Data

3/5 checks passed

14/25

Pricing Transparency

3/4 checks passed

15/18

Agent Infrastructure

3/11 checks passed

12/30

Trust & Identity

5/5 checks passed

18/18

Issues found

No Content-Signal header

No Content-Signal header. AI systems have to guess whether they're allowed to use your content for training, search, or as agent input. Declaring your policy proactively builds trust with AI platforms.

Fix: Add a Content-Signal HTTP response header to tell AI systems your content permissions: Content-Signal: ai-train=yes, search=yes, ai-input=yes In Next.js (next.config.js): headers: async () => [{ source: '/(.*)', headers: [{ key: 'Content-Signal', value: 'ai-train=yes, search=yes, ai-input=yes' }] }] This header is part of the emerging Content Signals standard (contentsignals.org) adopted by Cloudflare and others. It declares explicitly what AI can do with your content.

No Markdown content negotiation

Server doesn't return Markdown when requested with Accept: text/markdown. AI agents consume HTML which wastes context and introduces parsing errors. Markdown responses are the emerging standard for agent-optimised content delivery.

Fix: Enable Markdown content negotiation so AI agents can request clean, token-efficient versions of your pages. Quickest path: enable Cloudflare's 'Markdown for Agents' feature (Pro plan+) which auto-converts HTML to Markdown at the CDN edge when an AI agent requests it. No origin changes required. Alternatively, in Next.js you can detect the Accept header and serve .md files: if (req.headers.accept?.includes('text/markdown')) { res.setHeader('Content-Type', 'text/markdown'); } This is one of the highest-leverage changes you can make for AI agent accessibility.

No HTTP Link discovery header

No HTTP Link header advertising discovery files. AI agents that don't know to look for llms.txt won't find it. A Link header in the HTTP response signals discovery files proactively , before the agent even reads the page.

Fix: Add a Link header to your HTTP responses pointing to your discovery files: Link: </llms.txt>; rel="ai-content", </sitemap.xml>; rel="sitemap" In Next.js (next.config.js): headers: async () => [{ source: '/(.*)', headers: [{ key: 'Link', value: '</llms.txt>; rel="ai-content", </sitemap.xml>; rel="sitemap"' }] }] This is the HTTP equivalent of a signpost , an agent making its first request sees where to find your llms.txt immediately.

sameAs entity links (Wikidata / LinkedIn / Crunchbase)

No sameAs links. Without them, AI agents can't verify who you are across Wikidata, LinkedIn, and Crunchbase , a key trust gap.

Fix: Add a sameAs array to your Organization schema: "sameAs": [ "https://linkedin.com/company/yourcompany", "https://www.crunchbase.com/organization/yourcompany", "https://www.wikidata.org/wiki/Q..." ]

OKF knowledge bundle (/okf/index.md)

No OKF bundle. Google's Open Knowledge Format (June 2026) lets AI agents navigate your business knowledge as a graph of linked markdown files. Less than 0.1% of sites have this.

Fix: Create an OKF bundle starting with /okf/index.md. Use Faro's OKF Generator to build a complete bundle automatically.

What's working

robots.txt exists and accessible

GPTBot (ChatGPT) allowed

ClaudeBot (Anthropic) allowed

PerplexityBot allowed

What about your site?

Most sites we scan score higher than 71/100. Where do you stand?

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What the Faro score measures

The Faro AI readiness score tells you how well an AI agent — acting on behalf of a buyer — can navigate, understand, and evaluate a business. A score of 80+ means the site is genuinely AI-navigable. Below 40 means key signals are missing and the site risks being skipped during agent evaluations.

The scan checks six categories: agent permissions (robots.txt, GPTBot, ClaudeBot), discoverability (sitemap, llms.txt, canonical), structured data (JSON-LD, schema markup), pricing transparency, agent infrastructure (API docs, agents.json), and content readability. Each category contributes to the total score of 100.

The average score across all sites Faro has scanned is 41/100. Even well-resourced companies frequently block AI crawlers, omit structured data, or serve pricing in formats that agents cannot parse. These are fixable gaps — and the Faro scan tells you exactly where to start.

Scan your site →What is AI readiness?