URL analisado
https://rootsandfruit.com
Medido anteontem
Pontuação AI-Ready
Bom
de 100
Poupança de tokens
Desdobramento da pontuação
Protocolos emergentes
0 de 6 detetadosEndpoints well-known que os agentes de IA procuram. Detetado significa que um agente pode descobrir e conectar-se automaticamente ao seu serviço.
-
OAuth Protected Resource RFC 9728
/.well-known/oauth-protected-resource -
OAuth Discovery RFC 8414
/.well-known/oauth-authorization-server -
MCP Server Card SEP-1649 draft
/.well-known/mcp/server-card.json -
A2A Agent Card A2A v1.0
/.well-known/agent-card.json -
API Catalog RFC 9727
/.well-known/api-catalog -
Agent Skills index Discovery RFC v0.2.0 draft
/.well-known/agent-skills/index.json
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O que medimos Main content starts at 76% of HTML
O conteúdo principal aparece tarde no documento HTML. Os agentes de IA podem dar mais peso a conteúdo que aparece mais cedo.
Como implementar
Reestruture o seu HTML para que o conteúdo <main> ou <article> apareça antes das barras laterais e conteúdo suplementar.
O que medimos Content ratio: 1.6% (1668 content chars / 101701 HTML bytes)
A sua página tem um baixo rácio de conteúdo real em relação ao HTML total. Grande parte do peso da página é markup, scripts ou estilos em vez de conteúdo.
Como implementar
Mova CSS para folhas de estilo externas, remova estilos inline, minimize JavaScript e garanta que o HTML se foca na estrutura do conteúdo.
O que medimos No Content-Signal found (robots.txt or HTTP headers)
Nenhuma diretiva Content-Signal encontrada. Estas indicam aos agentes de IA como podem usar o seu conteúdo (indexação, entrada IA, dados de treino). A localização recomendada é robots.txt.
Como implementar
Adicione Content-Signal ao seu robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Também pode adicioná-lo como cabeçalho HTTP em respostas markdown.
O que medimos 15/227 elements with inline styles (6.6%)
Muitos elementos têm atributos de estilo inline. Estes adicionam ruído para agentes de IA que extraem conteúdo.
Como implementar
Mova todos os estilos inline para classes CSS na sua folha de estilos. Use frameworks CSS utilitários como Tailwind se precisar de muitos estilos únicos.
Fractional CGO for product companies **Roots & Fruit** works with product founders and teams to fix the systems underneath the work. I help turn customer feedback into clear product decisions, align teams around shared priorities, and build operating foundations that support steady growth without constant pressure.  *Matt CromwellFounder • Fractional CGO. Co-founded GiveWP, scaled CX & marketing at StellarWP* ## Some of the brands I’ve helped  *… and counting!* The work ## Hands-on, collaborative, deliberate on purpose. Three things that shape every engagement. 01 / Listen ### Customer insights are your guide Embed qualitative feedback into product and leadership decisions — without forcing bad metrics on top. 02 / Align ### Shared priorities across departments Product, CX, and marketing pulling on the same rope. Clear ownership, fewer crossed wires. 03 / Iterate ### Operating foundations Now build the system that keeps growth happening when the founder steps away from the wheel. Track record ## Success through trial and error is earned experience 01 ### GiveWP Co-founded, built, sold in an eight-figure acquisition. 02 ### StellarWP Led marketing & CX at scale across multiple products. 03 ### Roots & Fruit Now helping the next generation of product founders grow on purpose. Thought Leadership ## I Open Source my experience and insights via my Articles ## Book a discovery call Grab a time. We’ll talk about where you are, which package fits, and whether we should work together at all.
Sustainable revenue growth through earned experience and results [Skip to content](https://rootsandfruit.com/#wp--skip-link--target)
[](https://rootsandfruit.com/)
Fractional CGO for product companies
# Sustainable revenue growth through earned experience and results
**Roots & Fruit** works with product founders and teams to fix the systems underneath the work. I help turn customer feedback into clear product decisions, align teams around shared priorities, and build operating foundations that support steady growth without constant pressure.
[Let’s Connect](https://rootsandfruit.com/#book)

*Matt CromwellFounder • Fractional CGO. Co-founded GiveWP, scaled CX & marketing at StellarWP*
## Some of the brands I’ve helped
*… and counting!*
The work
## Hands-on, collaborative, deliberate on purpose.
Three things that shape every engagement.
01 / Listen
### Customer insights are your guide
Embed qualitative feedback into product and leadership decisions — without forcing bad metrics on top.
02 / Align
### Shared priorities across departments
Product, CX, and marketing pulling on the same rope. Clear ownership, fewer crossed wires.
03 / Iterate
### Operating foundations
Now build the system that keeps growth happening when the founder steps away from the wheel.
Track record
## Success through trial and error is earned experience
01
### GiveWP
Co-founded, built, sold in an eight-figure acquisition.
02
### StellarWP
Led marketing & CX at scale across multiple products.
03
### Roots & Fruit
Now helping the next generation of product founders grow on purpose.
[See Case Studies](https://rootsandfruit.com/case-studies/)
Thought Leadership
## I Open Source my experience and insights via my Articles
- 
### [I rebuilt Rootsandfruit.com as a static site without leaving WordPress](https://rootsandfruit.com/articles/static-wordpress/)
How I use local WordPress, Cursor, and Simply Static to build my site and ship it on Cloudflare Pages for $0/month.
[Read more →](https://rootsandfruit.com/articles/static-wordpress/)
- 
### [What 3,400 WordPress Plugin Reviews Tell You About What Makes a Great Plugin](https://rootsandfruit.com/articles/create-products-customers-love/)
I pulled the top reasons people leave one-star and five-star WordPress plugin reviews. The pattern is a playbook for product businesses.
[Read more →](https://rootsandfruit.com/articles/create-products-customers-love/)
- 
### [How I Write my Cursor Skills for Marketing Work](https://rootsandfruit.com/articles/write-cursor-skills/)
I write my Cursor skills with a skill. Here’s how write-a-skill turns a marketing job into a lean SKILL.md instead of another folder you never finish.
[Read more →](https://rootsandfruit.com/articles/write-cursor-skills/)
[See All Articles](https://rootsandfruit.com/articles/)
## Book a discovery call
Grab a time. We’ll talk about where you are, which package fits, and whether we should work together at all.
Book a discovery call
## Book a discovery callClose
Carregue este ficheiro como /index.md no seu servidor para que os agentes de IA possam aceder a uma versão limpa da sua página. Também pode configurar a negociação de conteúdo Accept: text/markdown para o servir automaticamente.
A nossa recomendação
# Roots & Fruit > Sustainable revenue growth through earned experience and results. Roots & Fruit works with product founders and teams to fix the systems underneath the work. ## Main - [Sustainable revenue growth through earned experience and results](https://rootsandfruit.com): Sustainable revenue growth through earned experience and results. Roots & Fruit works with product founders and teams t… - [Services](https://rootsandfruit.com/services/) - [About Matt](https://rootsandfruit.com/about-matt/) - [Case Studies](https://rootsandfruit.com/case-studies/) ## Blog - [Articles](https://rootsandfruit.com/articles/) ## Legal - [Privacy Policy · This site is privacy-first](https://rootsandfruit.com/privacy-policy/) - [Terms of Service](https://rootsandfruit.com/terms-of-service/)
O llms.txt completo requer análise de todo o domínio (em breve)
Carregue este ficheiro como https://rootsandfruit.com/llms.txt na raiz do seu domínio. Agentes de IA como ChatGPT, Claude e Perplexity verificam este ficheiro para compreender a estrutura do seu site.
Este site já possui um ficheiro llms.txt.
Formato válido# Roots & Fruit llms index # HYDROKE_BASELINE_LLMS_REF_BEGIN - [Documentation index for AI agents — Markdown .md URLs](https://rootsandfruit.com/docs/llms.txt) # HYDROKE_BASELINE_LLMS_REF_END
Acessibilidade
Content available without JavaScript
Main content starts at 76% of HTML
Page size: 99KB
Descobribilidade IA
All major AI search bots allowed
Descobrível, mas sem negociação: um agente que lê o teu HTML encontra a versão .md; um que pede a página diretamente continua a receber HTML. Responder a Accept: text/markdown cobre os dois casos.
Sitemap found
robots.txt exists
llms.txt exists and is valid
Dados Estruturados
JSON-LD found: WebSite, WebPage, ReadAction, Organization, ImageObject
All OG tags present
Meta description: 157 chars
Canonical URL present
lang="en-US"
HTML Semântico
Clean heading hierarchy
Has both <article> and <main>
15 semantic elements, 47 divs (ratio: 24%)
6/6 images with meaningful alt text
Avg div depth: 4.1, max: 8
Eficiência de conteúdo
99% token reduction (HTML→Markdown)
Content ratio: 1.6% (1668 content chars / 101701 HTML bytes)
HTML size: 99KB
15/227 elements with inline styles (6.6%)
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},
"apiCatalog": {
"exists": false,
"url": "https://rootsandfruit.com/.well-known/api-catalog"
},
"agentSkills": {
"exists": false,
"url": "https://rootsandfruit.com/.well-known/agent-skills/index.json",
"draft": true
},
"count": 0,
"total": 6
},
"botAccess": {
"probed": true,
"bot": "OAI-SearchBot",
"controlStatus": 200,
"botStatus": 200,
"discriminates": false,
"refusedAsBot": false,
"edge": "Cloudflare",
"verifiable": false,
"detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
},
"snippets": [
{
"id": "add_content_signals",
"title": "Add Content-Signal directives",
"description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
"language": "txt",
"code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
"filename": "/robots.txt",
"stacks": [
{
"id": "robots",
"label": "robots.txt",
"language": "txt",
"filename": "/robots.txt",
"code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
},
{
"id": "nginx",
"label": "Nginx",
"language": "nginx",
"filename": "server block",
"code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
},
{
"id": "apache",
"label": "Apache",
"language": "apache",
"filename": ".htaccess",
"code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "middleware.ts",
"code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n const res = NextResponse.next();\n res.headers.set(\n 'Content-Signal',\n 'search=yes, ai-input=yes, ai-train=no'\n );\n return res;\n}\nexport const config = { matcher: '/:path*' };"
},
{
"id": "cloudflare",
"label": "Cloudflare Workers",
"language": "javascript",
"filename": "worker.js",
"code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n async fetch(request, env, ctx) {\n const res = await fetch(request);\n const newRes = new Response(res.body, res);\n newRes.headers.set(\n 'Content-Signal',\n 'search=yes, ai-input=yes, ai-train=no'\n );\n return newRes;\n },\n};"
},
{
"id": "express",
"label": "Express / Fastify",
"language": "javascript",
"filename": "server.js",
"code": "// Express\napp.use((req, res, next) => {\n res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n done();\n});"
}
]
}
]
}
Use a nossa API para obter isto programaticamente (em breve)
Este JSON é para uso interno — ao contrário dos ficheiros Markdown e llms.txt, não se destina a ser carregado no seu site. Guarde-o como referência para acompanhar a sua pontuação ao longo do tempo, partilhe-o com a sua equipa de desenvolvimento ou integre-o no seu pipeline CI/CD.
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