Nested EAV-E JSON-LD Schema & Expanded AI Crawler Visibility
ConvertUniverse now publishes a nested Entity-Attribute-Value-Evidence JSON-LD schema that embeds FAQPage directly inside SoftwareApplication, significantly improving citation accuracy in Google AI Overviews, Perplexity, and ChatGPT Search.
We upgraded our root JSON-LD schema from flat, parallel `SoftwareApplication` + `FAQPage` objects to a fully nested EAV-E architecture. The `FAQPage` mainEntity array is now embedded directly inside the `SoftwareApplication` object, which provides AI rerankers with a relational context matrix rather than a disconnected set of data points.
The Organization `sameAs` entity bridge was updated to include verified external profiles on X.com (x.com/Lyriryl), GitHub (github.com/act-sdk), Crunchbase, G2, and Launchit. These anchors allow AI knowledge graphs to confirm brand identity across multiple trusted sources, increasing entity confidence scores.
The AI crawler allowlist in robots.txt was expanded from 5 to 12 crawlers, now including PerplexityBot, OAI-SearchBot, Google-Extended, Applebot-Extended, meta-externalagent, Bytespider, and cohere-ai. All AI crawlers are explicitly granted access to /llms.txt, /llms-full.txt, and /changelog.
The llms.txt manifest was overhauled to apply the Answer-Evidence-Depth (AED) pattern throughout. Each section now opens with a direct factual answer within the first 50 words, followed by 100-150 words of technical depth targeting L3 reranker information gain filters. The Comparisons section was rewritten with explicit competitive anchor language covering Zapier's Task Tax, Make.com's Developer Wall, Zamzar's manual upload-and-click loops, CloudConvert's hidden credit multipliers, PDF.co's developer requirement, and Docparser's enterprise page penalties.