- Answer Engine Insights
- Prompt Intelligence
- Citations Monitoring
Product
Every signal that decides whether AI recommends you, in one platform.
snowdust.ai measures how AI answers describe, compare and recommend your brand, explains why a competitor gets picked instead, and hands your team the specific moves that change the answer. Analytics to see it, optimization to fix it, and the search data that connects both to the rest of your marketing.
One platform · 11 capabilities · 14-day free trial on every plan
How it works
Three parts, one loop: measure, act, connect.
The platform is organized the way the work actually runs. Analytics tells you where you stand in AI answers, Optimization turns that into the fixes worth shipping, and Search Intelligence keeps both fed with your real search and demand data.
- AI Agent Chat
- Site Audit
- Competitor Benchmarking
- Content Intelligence
- Google Search Console
- LLM Scrapers
- DataForSEO
- MCP Server
Analytics
Measure and understand AI visibility
Before you can improve a position in an AI answer you have to be able to read it. These are the measurements that turn "we think AI mentions us" into a number you can track week over week.
Answer Engines
Answer Engine Insights
Monitor how the engines we track — ChatGPT, Perplexity, Claude, Google AI Overviews, Google AI Mode, Google Gemini and Microsoft Copilot — actually talk about your brand: what they say you do, who they say you are for, and whether they name you at all. Every answer is stored, so you can see how the description of your brand shifts as models update.
Prompts
Prompt Intelligence
Track the prompts that decide your category, not vanity keywords. See which prompts you win, which you lose, and which ones nobody in your category answers well yet — the openings worth taking first.
Citations
Citations Monitoring
Track citations by source to see which pages, reviews, directories and third-party articles an answer is built from. Authority is assembled off your own site, and this is the list of places that are currently doing the assembling.
Optimization
Turn insights into growth
Measurement on its own only tells you that you are losing. This is the half of the platform that says what to change, in which page, and in what order — then lets you ship it.
Ask your data
AI Agent Chat
Ask your visibility data questions in plain English and get insights and next actions back. "Why did we drop on comparison prompts last month?" is a question your dashboard cannot answer, and this can — with the underlying answers cited.
Technical
Site Audit
Audit your site against the AEO and GEO signals answer engines actually read: structure, schema, entity clarity, crawlability for AI agents, and how quotable each page is. Findings come back ranked by the prompts they affect.
Competition
Competitor Benchmarking
Track the competitors AI puts in front of you and see exactly which questions they win, on which models, and what they publish that you do not. The gap between you and them is the opportunity list.
Content
Content Intelligence
Find the content gaps and optimization opportunities behind a lost answer — the comparison page you never wrote, the FAQ that answers the question in the wrong words, the claim no citable source backs up.
Search Intelligence
Connect business and search data
AI visibility is not a separate world from search — it is fed by it. These integrations bring your existing search, demand and competition data into the same picture, and let other tools read it back out.
Integration
Google Search Console
Turn Search Console data into AI Search opportunities. The queries you already rank for, matched against the prompts you are losing, show which existing pages are closest to earning a citation.
Collection
LLM Scrapers
Continuously collect AI visibility, Query Fan-Out and citation data across models rather than sampling it. Because answers vary run to run, a single check is an anecdote — the scrapers are what make the trend line trustworthy.
Integration
DataForSEO
Combine search demand and competition intelligence with AI visibility, so a lost answer can be weighed against the volume behind it. It is what separates a prompt worth fixing from one that is merely annoying.
Extensibility
MCP Server
Connect MCP servers and extend workflows: expose your snowdust.ai data to the assistants and agents your team already uses, and pull your own systems in beside it. Your visibility data stops being trapped in one dashboard.
See the whole platform in five minutes.
An interactive product tour showing how brands go from "we are not in the answer" to being the one AI recommends.
Watch the product tourAI Discovery Intelligence
One engine behind every feature.
Whichever capability you open, it runs on the same four-part engine: Brief, Lab, Actions, and the AI Discovery Analyst. Features are the surfaces; this is the system underneath that makes the answer to "what do we do on Monday?" repeatable.
See what each plan includes01- BRIEF
Where you stand
An executive-ready read on mentions, recommendations, rank and share of voice, per model and over time.
02- LAB
Why you win or lose
The patterns behind the number: the questions, personas, sources and competitor language driving each answer.
03- ACTIONS
Prioritized recommendations
Specific fixes across website, content, PR, campaigns and messaging, ranked by the answers they move.
04- AI DISCOVERY ANALYST
Ask, explore, pressure-test
Interrogate the evidence in plain English and decide the next move with the source answers in front of you.
Product
Frequently asked questions
Do I need to choose between Analytics, Optimization and Search Intelligence?
No. They are three parts of one platform, not three products. Every paid plan includes the whole set — plans differ by how many buyer questions you track, not by which features you unlock.
Which AI models does snowdust.ai track?
Every plan covers all major platforms — ChatGPT, Perplexity, Claude, Google AI Overviews, Google AI Mode, Google Gemini and Microsoft Copilot. Each is measured separately rather than averaged together: a brand can be recommended on one model and invisible on another, and a single blended score would hide exactly the gap you need to see.
AI answers change every time. How is any of this reliable?
A single check is an anecdote. The LLM Scrapers run your tracked prompts continuously across models, so what you read is a trend built from many samples rather than one lucky or unlucky response. Every figure stays traceable to the individual answers behind it.
How is this different from my SEO tools?
SEO tools measure whether you rank on a results page. snowdust.ai measures whether you are in the answer — and whether you are the recommendation. The two are related, which is why Search Console and DataForSEO plug straight in, but strong rankings do not guarantee an AI assistant names you.
Does it tell me what to do, or just what is happening?
Both. Site Audit and Content Intelligence exist to turn a lost answer into a specific page, a specific paragraph and a specific edit — with the AI answer and the competitor's language beside the recommendation so you can judge it yourself.
Can I get snowdust.ai data into the tools my team already uses?
Yes — that is what the MCP Server is for. It exposes your visibility data to the assistants and agents your team already works in, and lets you pull your own systems in alongside it.
How do I get started?
Start the 14-day free trial on any plan. It gives you a real read of how AI describes, compares and recommends your brand today, and enough of a baseline to decide whether continuous tracking is worth it.
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