Millions of consumers ask ChatGPT, Gemini, and other AI assistants for product and service recommendations every day. Do you know what they're being told about you, or if you are even being mentioned in AI responses?
| ChatGPT | Gemini | Perplexity | Claude | AI Overview | |
|---|---|---|---|---|---|
| Your Brand | 88 | 72 | 65 | 51 | 80 |
| Competitor A | 45 | 68 | 22 | 55 | 40 |
| Competitor B | 18 | 12 | 42 | 0 | 15 |
A monthly, bi-weekly, or even weekly scan is essentially a coin flip — LLM outputs are volatile enough that one snapshot can paint a completely misleading picture. Rolling averages from data collected every 2 days give you something actually actionable.
Single-model tools only show one AI's perspective. A business ranked #1 on ChatGPT might not appear on Gemini at all. You need the full picture across every platform consumers actually use.
AI responses are stochastic and no two answers are the same. A weekly scan catches one moment in time — and that moment might be an outlier. Rolling averages from frequent scans reveal the real trend, not noise.
Tools that skip web search get answers from stale training data, not what consumers actually see. Real consumers use ChatGPT with browsing and Gemini with Google Search — your tracking should too.
Ask any AI chatbot the same question twice and you'll get two different answers. That's not a bug — it's how LLMs work. Here's what that means for tracking.
Wild swings. Is visibility 82% or 25%? One scan can't tell you. Each snapshot is essentially random — you could report great results one week and terrible results the next, with no actual change to the business.
Stable, trustworthy signal. The noise cancels out and the true trend emerges. You can confidently say visibility is ~55% and track whether it's moving up or down over time.
Every scan replicates what a real consumer sees when they ask an AI chatbot for recommendations.
Scan every major consumer-facing AI — ChatGPT, Gemini, Claude, Perplexity, plus Google AI Overviews and AI Mode. All with native web search enabled, matching exactly what consumers see.
Consumers use ChatGPT with browsing and Gemini with Google Search — so we do too. Every scan uses native web search, never stale training data.
Every-other-day scans produce rolling averages that smooth out LLM volatility. See true trends, not snapshot noise. Actionable data you can trust.
Different models pull from different sources. Scanning across 2–4 search-enabled models reveals the consensus view, not one AI's opinion.
Every scan automatically identifies competitors mentioned in AI responses. No manual setup — we find who the AI chatbots recommend alongside your brand.
Beyond simple mention detection: sentiment analysis, citation tracking, AI Success Score, and ranked keywords per mention. All rolled into a single composite visibility metric.
AI-generated theme summaries per prompt and per scan. Understand not just if you're mentioned, but the narrative context in the replies.
Track how changes to scan prompts affect results over time. Full version history with side-by-side comparison for every prompt edit.
Visibility and sentiment tracked over 60–90 days with per-brand trend lines. See exactly how AI perception shifts over time, not just today's snapshot.
Download polished PDF reports for any completed scan — ready to share.
Configure separate prompt sets for location-aware responses. Track how AI chatbots recommend businesses differently in different regions.
One-click AI-powered prompt creation: industry research, persona generation, and smart deduplication. Get a comprehensive prompt set in minutes, not hours.
Most tools scan a single model without web search on a weekly (or less frequent) schedule. Here's how that compares.
| Capability | Typical AI Visibility Tool | AI Rank Tracker |
|---|---|---|
| AI Models | 1–2 models | Up to 6 sources including Google AI Overviews |
| Web Search | ✗ Training data only | ✓ Native web search enabled |
| Scan Frequency | Weekly or on-demand | Every 2 days (rolling averages) |
| Metrics | Mentioned / not mentioned | Visibility, SOV, sentiment, citations, AI Success Score |
| Source Diversity | Single-source perspective | Multi-model consensus view |
| Trend Analysis | Snapshot comparison | 7/14/30-day rolling averages |
| Competitor Discovery | Manual setup | Automatic from AI responses |
| Theme Analysis | ✗ Not available | ✓ AI-generated per scan |
Pay per prompt, per month. 10 prompt minimum. Every plan includes every-2-day scans with rolling averages.
| Prompts | Basic | Expanded |
|---|---|---|
| 10 prompts | $30/mo | $50/mo |
| 15 prompts | $45/mo | $75/mo |
| 25 prompts | $75/mo | $125/mo |
| 35 prompts | $105/mo | $175/mo |
From setup to actionable insights in four steps.
Add your brand, set up scan prompts, and choose which AI models to track. AI-assisted prompt generation helps you get started fast.
Automated every-2-day scans query each AI chatbot exactly as a consumer would — with web search enabled, no system prompts, consumer-length responses.
Each response is analyzed for brand mentions, sentiment, citations, and themes. Competitors are auto-discovered from responses.
Rolling averages, model comparison dashboards, share of voice tracking, and theme analysis reveal how AI chatbots truly perceive your brand.
See exactly how AI chatbots recommend your business — across every model, with real web search, tracked over time.
Get Started