Readiness score: 46.7%

• ✗ llms.txt present
  ?

  What: a /llms.txt that describes your service for AI crawlers. Why: it helps language models understand what you do and cite you correctly (like robots.txt, but for AI).
  
  Add an llms.txt that describes your service for AI crawlers.
  llms.txt (place at {base_url}/llms.txt) Copy

  # Brightnest
  > One-line summary of what Brightnest does and who it is for.
  
  https://brightnest.se
  
  ## Key pages
  - [Home](https://brightnest.se/): what Brightnest offers, in brief
  - [About](https://brightnest.se/about): who Brightnest is
  - [Contact](https://brightnest.se/contact): how to get in touch
  
  ## Notes
  Written for AI assistants: plain facts about Brightnest, kept current.

• ✓ robots.txt present
  ?

  What: a /robots.txt that controls what crawlers may read. Why: without it, important pages can be missed or the wrong pages indexed.
• ✓ sitemap.xml present
  ?

  What: a /sitemap.xml listing your pages. Why: crawlers and AI find your whole structure so nothing important is missed.
• ✗ Structured data (JSON-LD)
  ?

  What: JSON-LD describing your company and products in a machine-readable way. Why: AI uses it to understand what you are and describe you correctly.
  
  Add schema.org JSON-LD (Organization/Product/FAQ).
  Organization schema (JSON-LD) Copy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Organization",
    "name": "Brightnest",
    "url": "https://brightnest.se",
    "logo": "https://brightnest.se/logo.png",
    "description": "One or two plain sentences describing what Brightnest does and who it is for.",
    "sameAs": [
      "https://www.linkedin.com/company/your-company"
    ]
  }
  </script>

• ✓ Canonical URL
  ?

  What: a canonical URL points to the 'real' address when the same content lives on several URLs. Why: it stops your visibility being split across duplicates.
• ✓ Open Graph tags
  ?

  What: Open Graph tags (title/image/description) control how the page looks when shared. Why: they give AI and social media a clear, correct summary.
• ✓ Meta description
  ?

  What: the page's short summary. Why: search engines and AI use it to describe you - a good description means you are described the way you want.
• ✗ FAQ / questions and answers
  ?

  What: an FAQ with clear questions and answers. Why: it matches how people ask AI - models often lift answers straight from well-structured FAQs.
  
  Add an FAQ that answers buyer questions (ideally with FAQPage schema).
  FAQ schema (FAQPage JSON-LD) Copy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "FAQPage",
    "mainEntity": [
      {
        "@type": "Question",
        "name": "What does Brightnest do?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Answer in one or two plain sentences a model can quote directly."
        }
      },
      {
        "@type": "Question",
        "name": "Who is Brightnest for?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Describe your ideal customer in plain language."
        }
      }
    ]
  }
  </script>

• ✓ Page title
  ?

  What: the page title. Why: it is the first thing AI and search engines read - a clear title with what you do helps you get named in the right context.
• ✓ Clear main heading (H1) in the page source
  ?

  What: a main heading (H1) present in the page source. Why: AI crawlers often do not run JavaScript - a static, clear heading means they actually read what you do instead of seeing an empty page.
• ✗ Article schema (JSON-LD)
  ?

  What: JSON-LD of type Article/BlogPosting with author, publisher and dates. Why: it helps AI understand the page is editorial content, who stands behind it and how fresh it is - signals that weigh in when models choose what to cite.
  
  Mark up articles and guides with Article schema (author, publisher, datePublished).
  Article schema (JSON-LD) Copy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Article",
    "headline": "Your article title",
    "author": {
      "@type": "Organization",
      "name": "Brightnest"
    },
    "publisher": {
      "@type": "Organization",
      "name": "Brightnest",
      "logo": {
        "@type": "ImageObject",
        "url": "https://brightnest.se/logo.png"
      }
    },
    "datePublished": "YYYY-MM-DD",
    "dateModified": "YYYY-MM-DD",
    "mainEntityOfPage": "https://brightnest.se/your-article",
    "description": "One or two plain sentences summarising the article so a model can quote it."
  }
  </script>

• ✗ HowTo schema (JSON-LD)
  ?

  What: JSON-LD of type HowTo for step-by-step content. Why: it makes instructions machine-readable so AI can reproduce your steps correctly instead of guessing.
  
  Add HowTo schema to guides and step-by-step pages.
• ✗ Author (byline/markup)
  ?

  What: a clear author via markup (JSON-LD author, rel=author or meta author). Why: who stands behind the content is a credibility signal (E-E-A-T) that AI weighs when deciding whether to trust and cite you.
  
  State the author with markup (author in JSON-LD, rel=author or meta name=author).
• ✗ Published/updated dates
  ?

  What: datePublished/dateModified in markup or <time> elements. Why: freshness matters - AI often prefers updated content and can show when something was last changed.
  
  Expose published and updated dates in markup (datePublished/dateModified or <time datetime>).
• ✗ Organization entity (sameAs)
  ?

  What: Organization schema with sameAs links to your official profiles (e.g. LinkedIn, Wikidata). Why: it ties your company to a clear entity so AI does not confuse you with someone else and describes you correctly.
  
  Add Organization schema with sameAs links to your official profiles.

Organic presence in AI answers: 50.0% - 52 competitors here

• brand - Brand question (0 competitors here)
• alternatives - Brand question (0 competitors here)
• category - Seen (52 competitors here)
• buyers - Not seen (0 competitors here)

The AI models this report covers. New models are added over time and shown here.

• deepseek/deepseek-v4-pro
  first measured: 2026-06-22
• z-ai/glm-5.1
  first measured: 2026-06-22
• google/gemini-2.5-flash
  first measured: 2026-06-22
• openai/gpt-5.5
  first measured: 2026-06-22
• anthropic/claude-sonnet-4.6
  first measured: 2026-06-22