GEO Audit for infron.ai

{"domain": "infron.ai", "overall_score": 56, "business_model": "B2B SaaS (AI Model API Gateway / LLM Aggregator)", "audience_tags": ["To-B Enterprise (AI Integrations)", "To-C Developers", "Startups"], "tech_stack": ["React (Vite/SPA)", "Framer (Hosting)", "Cloudflare", "Vite"], "competitor_domains": ["openrouter.ai", "together.ai", "groq.com"], "scorecard": [{"metric": "Technical Accessibility", "score": 10, "max": 15, "status": "WARNING", "detail": "robots.txt present with basic rules. Sitemap index with 3 sub-sitemaps (main, models, docs). Multiple pages exist (pricing, docs, blog, about, etc.). Missing: llms.txt returns HTML (not a real llms.txt), no explicit AI crawler User-agent sections, Framer SPA may require JS for content rendering."}, {"metric": "Structured Schema Quality", "score": 4, "max": 10, "status": "ACTION_REQUIRED", "detail": "Only Organization JSON-LD schema found. Missing critical schemas: WebSite, SoftwareApplication (this is an API platform!), FAQPage, Product/Service. Schema coverage is the weakest dimension."}, {"metric": "Content Extractability", "score": 10, "max": 15, "status": "WARNING", "detail": "Multiple pages (8+ routes) but Framer-hosted SPA with client-side rendering — AI crawlers that don't execute JS may see blank shells. H1 has formatting issues (missing space: 'Every frontier modelOne unified entry'). Content-rich pages exist but hidden behind JavaScript."}, {"metric": "Answer Density (BLUF)", "score": 7, "max": 10, "status": "WARNING", "detail": "First paragraph (167 chars) explains the core offering: comprehensive model library of 400+ models. Strong tagline 'Deploy in minutes, scale forever.' Could be more specific about competitive differentiators (price/performance ratio mentioned but not quantified)."}, {"metric": "Citations & Empirical Data", "score": 8, "max": 15, "status": "WARNING", "detail": "Good data points: '400+ latest models', '100+ worldwide providers', customer logos (Shopee, Planet Labs, BDO, etc.), 'SOC 2 Type II audit underway'. Missing: specific pricing (has /pricing page but content behind JS), performance benchmarks, latency data, user counts."}, {"metric": "Expertise & Attribution (EEAT)", "score": 5, "max": 10, "status": "ACTION_REQUIRED", "detail": "Organization schema present with company name. SOC 2 compliance mentioned as trust signal. Customer testimonials with recognizable brands (Shopee, Planet Labs). Missing: founder/team bios, company address/registration, developer credentials, transparency about company location."}, {"metric": "Off-Page Entity Footprint", "score": 6, "max": 15, "status": "WARNING", "detail": "GitHub presence: InfronAI organization with codex plugin (3 stars). Customer base includes notable brands. SOC 2 compliance in progress. Missing: no package registry presence (npm/PyPI), no Wikipedia, limited media coverage, no community forum or Discord."}, {"metric": "Machine-Readable Discovery", "score": 6, "max": 10, "status": "WARNING", "detail": "Has OG:title, OG:description, OG:url, OG:type. Twitter card with summary_large_image, title, description. Canonical URL correct. Sitemap index with 3 sub-sitemaps. Missing: og:image (critical for LLM snippets and social), twitter:site, no llms.txt."}], "prompt_fan_out": ["Best AI model API gateway for enterprise in 2026 — Infron vs OpenRouter vs Together AI", "Infron AI model interface platform pricing and features", "How to integrate 400+ LLMs with a single API — Infron review", "Enterprise AI model aggregation platform with SOC 2 compliance", "Infron vs Groq vs OpenAI — cheapest and most reliable model API"], "recommendations": ["Add WebSite, SoftwareApplication, FAQPage, and Product JSON-LD schemas — currently only has Organization schema.", "Create a real /llms.txt with structured company info, API base URL, model count, pricing summary, and integration guide.", "Add og:image meta tag with a 1200x630 brand PNG for LLM snippet extraction and social sharing.", "Add twitter:site referencing the official X/Twitter handle.", "Fix H1 formatting issue: 'Every frontier modelOne unified entry' → 'Every frontier model. One unified entry'.", "Improve SSR for key content pages so AI crawlers can extract text without JavaScript execution.", "Add explicit GPTBot/ClaudeBot/PerplexityBot User-agent sections to robots.txt.", "Publish performance benchmarks and latency data on the website — LLMs love citing specific numbers.", "Publish team/leadership bios and company registration details for EEAT credibility.", "Create a GitHub repository with SDK code samples to boost off-page authority (current repo has only 3 stars)."], "agent_repair_prompt": "GEO engineer fixing infron.ai (56/100). Priority: 1) Add WebSite+SoftwareApplication+Product JSON-LD schemas to homepage. 2) Create /llms.txt at domain root with structured info: # Infron > AI Model Interface, 400+ models, 100+ providers, single API. 3) Add og:image and twitter:site meta tags. 4) Fix H1 from 'Every frontier modelOne unified entry' to 'Every frontier model. One unified entry'. 5) Add explicit AI crawler sections to robots.txt. All changes go in the Framer site head section or build config."}