{
  "slug": "what-should-i-include-on-documentation-pages-so-perplexity-trusts-my-brand",
  "url": "https://answers.trakkr.ai/what-should-i-include-on-documentation-pages-so-perplexity-trusts-my-brand",
  "question": "What should I include on documentation pages so Perplexity trusts my brand?",
  "description": "Optimize your documentation pages for Perplexity by using machine-readable formats and structured content that builds trust and increases citation likelihood.",
  "summary": "To build trust with Perplexity, focus on machine-readable documentation, clear semantic structure, and verifiable technical content. Trakkr helps you monitor these efforts by tracking how your documentation is cited in AI answers, ensuring your brand remains a reliable source for technical queries.",
  "answer": "Perplexity prioritizes documentation that is easily parsed and factually consistent. To earn trust, implement semantic HTML and machine-readable files like llms.txt to define your documentation scope clearly. Ensure your technical content provides direct, concise answers to user queries, as this facilitates easier referencing by the model. Use Trakkr to monitor whether your documentation pages are being cited in Perplexity answers and to identify gaps where competitors might be outperforming your brand. By maintaining high-quality, verifiable code snippets and consistent terminology, you signal to the AI that your documentation is a reliable, authoritative source for technical information.",
  "keywords": [
    "what should i include on documentation pages so perplexity trusts my brand",
    "perplexity documentation optimization",
    "ai visibility for documentation",
    "perplexity citation strategy"
  ],
  "keywordVariants": [
    "what should i include on documentation pages so perplexity trusts my brand",
    "ai platform trust signals",
    "optimizing docs for perplexity",
    "improving ai citation rates",
    "technical documentation for llms"
  ],
  "entities": [
    "Perplexity",
    "Trakkr",
    "llms.txt",
    "Structured Data",
    "AI Answer Engines"
  ],
  "createdAt": "2026-02-06",
  "reviewedAt": "2026-04-29",
  "publishedAt": "2026-04-28",
  "articleSection": "Citation Intelligence",
  "tags": [
    "Citation Intelligence",
    "Perplexity",
    "Trakkr",
    "llms.txt",
    "what should i include on documentation pages so perplexity trusts my brand",
    "perplexity documentation optimization"
  ],
  "author": {
    "id": "trakkr-research",
    "name": "Trakkr Research",
    "role": "Research team",
    "url": "https://answers.trakkr.ai/authors/trakkr-research/"
  },
  "collections": [
    {
      "slug": "collections/citations",
      "title": "Citation Intelligence"
    },
    {
      "slug": "collections/technical",
      "title": "Technical Optimization"
    },
    {
      "slug": "platforms/perplexity",
      "title": "Perplexity Pages"
    }
  ],
  "guides": [
    {
      "slug": "citation-audits",
      "title": "How to audit citations, sources, and answer grounding",
      "url": "https://answers.trakkr.ai/guides/citation-audits/"
    },
    {
      "slug": "technical-ai-visibility",
      "title": "Technical AI visibility setup for crawlers, schema, and discovery",
      "url": "https://answers.trakkr.ai/guides/technical-ai-visibility/"
    }
  ],
  "sources": [
    {
      "label": "Google structured data introduction",
      "url": "https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data",
      "type": "external-doc"
    },
    {
      "label": "Perplexity",
      "url": "https://www.perplexity.ai/",
      "type": "external-platform"
    },
    {
      "label": "llms.txt specification",
      "url": "https://llmstxt.org/",
      "type": "standard"
    },
    {
      "label": "Trakkr docs",
      "url": "https://trakkr.ai/learn/docs",
      "type": "first-party"
    }
  ]
}