Absolutely — here’s a brief and crisp description of what you're building, suitable for internal alignment, pitch decks, or collaboration with designers and engineers:🧠 Project Summary: AI Visibility Intelligence Dashboard📌 What We’re Building:A comprehensive AI Visibility Intelligence Dashboard that helps companies measure, benchmark, and improve how their website and brand show up in AI-powered search engines like ChatGPT, Perplexity, Claude, and Gemini.🎯 Core Problem:Traditional SEO tools track Google. But today, AI tools are answering user queries directly — and most brands don’t know if they’re being cited, misrepresented, or completely ignored.🧭 Our Solution:A multi-layered dashboard that combines:Internal Monitoring — Track how AI bots crawl your site over time.External Visibility Testing — Simulate user prompts and see how AI tools respond.Competitor Benchmarking — Compare your AI search presence to others in your category.Gap Analysis — Identify why you’re not being surfaced: technical blockers, missing schema, weak authority.Fix Lab (Sandbox) — Try improvements (like structured content, rewritten pages) and instantly test impact on AI outputs.Actionable Fix Planner — Organize, prioritize, and assign solutions across your team.💡 Why This Matters:AI engines are the new search layer — from ChatGPT chats to Perplexity research and Claude integrations in browsers.Companies that optimize for AI visibility now will own future discovery paths.This tool gives them the data, insight, and sandbox to stay ahead.👥 Target Users:SEO/GEO leadsContent & growth marketersTechnical SEO analystsProduct managersCMOs looking for strategic visibility🔧 What Makes It Different:Combines bot log analytics + prompt-based LLM testingFocuses on visibility, not just trafficSupports experimentation before publishing changesTracks AI-specific metrics like share of voice, prompt coverage, and citation quality This is what building, just consume this information, I'll tell what todo
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.This IA will act as your blueprint for product + design collaboration — defining pages/screens, key modules, user goals, data inputs, and UX flows.🧱 AI Visibility Dashboard — Information Architecture🧭 Level 0: Product Structure (Top-Level Navigation)- Dashboard (Home) - Crawl Logs - AI Search Visibility - Competitor Benchmarking - Gap Analysis - Fix Lab (Sandbox) - Fix Planner - Settings / Integrations 🏠 1. Dashboard (Home)Goal: Provide an executive-level overview of AI visibility, health, and opportunities.Sections:Module Description AI Share of Voice % Our visibility across all LLM citations vs competitors (overall and by topic) Top Cited Pages Table of URLs with citation frequency, LLM, and trend arrows LLM Breakdown Pie/bar chart: ChatGPT, Perplexity, Gemini, Claude citation shares Prompts We’re In Recent LLM queries that cite us (tagged by cluster) Risk Alerts Pages dropped, schema issues, crawl failures, bot blocks Competitor Heatmap Share of voice by topic vs competitors Quick Fixes Smart suggestions auto-linked to planner🐛 2. Crawl LogsGoal: Track which bots (GPTBot, ClaudeBot, etc.) are visiting your site and what they see.Views:Element Description Bot Activity Over Time Line chart with toggle for each LLM bot Page-Level Access Logs Table with: path, bot, timestamp, status code, crawl depth Filter Panel By bot, date, path, response code Bot Failure List Where bots got blocked or rendered errors (e.g., 403, 503, JS fail) Geo / Infra Origin Cloud provider/IP heatmap for origin analysis🔍 3. AI Search Visibility (Prompt Audit)Goal: See how your brand/content appears in LLM responses.Tools:Element Description Prompt Input User-defined or pre-filled prompts LLM Selector Run prompt across ChatGPT, Perplexity, Claude, Gemini Output Display Show response, citation URLs, mention strength Historical Tracking Has this prompt changed over time? Were we ever cited? Prompt Collections Save sets (e.g., product queries, brand queries, category queries) Export Report of LLM visibility per prompt set📊 4. Competitor BenchmarkingGoal: Understand how your competitors perform in LLM results compared to you.Sections:Element Description Competitor Selector Pick up to 5 domains or brands Query Set Picker Topic-based prompts (pre-defined or custom) Share of Voice Table For each query: who’s cited, LLM-wise Top Domains Being Cited E.g., Wikipedia, TechCrunch, Quora Trendline How has your SoV changed vs others🧱 5. Gap AnalysisGoal: Identify technical/content reasons for low visibility.Reports:Type Description Page Audit Table All indexed pages with columns for: schema present (FAQ, HowTo), LLM access (yes/no), citations Missing Schema Detector Which pages lack structured data (FAQ, HowTo, Article) Blocked Pages Pages blocked by robots.txt, noindex, or crawl errors Citation Opportunity Map Where competitors are cited and you’re missing Authority Domain Gap Domains linking to competitors but not to you (esp. trusted sources: .edu, .org, etc.)🧪 6. Fix Lab (Sandbox Simulator)Goal: Test content or structural changes before deploying live, and simulate their effect on LLM outputs.Modules:Element Description Page Variant Uploader Paste HTML or markdown, or pick existing/live page Prompt Input Choose test prompts LLM Runner Run AI queries on variant Output Comparison Side-by-side old vs new LLM outputs Visibility Score Delta Did we show up? Were we mentioned more/less? Save as Test Case Archive results, export for discussion📋 7. Fix PlannerGoal: Centralize action items from audits and experiments.Sections:Module Description Fix Queue List of issues (e.g., missing FAQ schema on /pricing) Filters Priority, cluster, page type, fix type (content, structure, authority) Bulk Actions Assign, export to Jira/CSV, mark done Playbooks Embedded how-to: “How to submit a Wikipedia edit”, “How to structure FAQ schema”, “How to reduce JS bloat” Impact-Effort Matrix Smart prioritization view⚙️ 8. Settings / IntegrationsGoal: Connect data sources and configure LLM test settings.Option Description Connect Logs GCS, AWS logs, Cloudflare, Nginx Configure Prompts Set default queries per domain/topic Competitor Domains Add/remove tracked competitors Jira / Slack Integration Push fixes or alerts API Keys For OpenAI, Perplexity, Anthropic (for live prompt runs)🧠 Data Model OverviewEntities:PagePromptLLM BotCitation (Prompt → Domain → Page)Fix (attached to Page or Prompt)CompetitorAudit IssueTest Case (Fix Variant + Prompt Run)📁 Database Tables (Simplified)pages — URL, last seen, schema data, crawlableprompts — text, cluster, test runscitations — prompt_id, llm, domain, score, page_urlbots — user_agent, IP, time, status_code, pathaudit_issues — type, severity, fix_id, page_idcompetitors — domain, visibility logstests — page variant, result, comparison delta
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