Measure AI Reach
How many people see your content right now in ChatGPT, Claude, Perplexity or Gemini? How is that reach evolving over time? BotScope measures AI reach live from your server logs — no self-reporting, no estimates, just real data.
🤖 The AI Visibility Dashboard
One single view stacks all three AI data streams per platform in a timeline. At a glance you see how often your domain appears in ChatGPT, Claude, Perplexity, Gemini, Grok and other AI channels — and whether the trend is up or down.
GPTBot, ClaudeBot, Google-Extended, Bytespider, PerplexityBot, CCBot — who trains on your content? How much and how often? Indexing signal.
ChatGPT-User, Claude-User, Perplexity-User, Manus-User, Gemini-Deep-Research — triggered live when a user gets your content cited in the AI. Citation signal.
Real visitors coming to your site from an AI answer. Detected via referer (chatgpt.com, perplexity.ai) or UTM parameter. Performance KPI.
📈 Temporal evolution at a glance
Each of the three data streams is shown over days, weeks, months — colour-separated per platform. You immediately spot:
- 📊 Growth trends — when ChatGPT-User hits grow month over month, your content increasingly ranks in AI answers.
- ⚠️ Sudden drops — a slump on one platform = potential indexing issue, content update, robots.txt change or algorithm update.
- 🔄 Platform shifts — e.g. more Claude clicks and fewer ChatGPT clicks → your AI user base is shifting.
- 🚀 Seasonal patterns — Black Friday, summer travel, election phases shape AI queries differently per topic.
🎯 Use case: own domain
Scenario: A tech blog wants to know how it performs in AI — Google Analytics only shows web traffic, not AI reach.
With BotScope:
- Training crawler hits show: 78% of articles are in the OpenAI model (GPTBot crawls regularly)
- ChatGPT-User hits show: 2,400 live citations/month (roughly 80 times a day an article is used in a ChatGPT answer)
- ChatGPT click hits show: 340 real visitors/month come via ChatGPT link to the site
Insight: CTR from citation to visit ≈ 14%. Compare other platforms, optimize content for AI format, identify long-tail topics where the lever is greatest.
🏢 Use case: agency managing client domains
Scenario: An SEO/content agency manages 15 client domains and wants to deliver a monthly AI reach report to each.
With BotScope multi-tenant:
- Each client has its own session per log period — no mixing
- Per domain: AI crawlers, user bots, clicks separated by platform + time trend
- Per domain: top paths landing in AI answers — direct signal which content is treated as reference
- Export as AI-optimized CSV or PDF report for the client
Added value: You show clients a reach picture Google Analytics doesn't deliver — and competitors can't measure. Hard data for strategy reviews and pitch decks.
📋 What you take from the dashboard
- 🎓 Training share — what percentage of your content is embedded in AI models
- 📣 Citation frequency — how often your content is actively used in AI answers
- 👥 Real AI visitors — how much actual traffic AI channels send you
- 📈 Trend comparison — vs. previous month, year-over-year, competitor domain