Why AI Rank, and why now
When customers research a service, some now skip the search results page: they ask ChatGPT and take the answer it writes.
That answer might recommend you. It might recommend a competitor. It might cite three URLs from your domain, or none at all. You can't see any of that unless you check, prompt by prompt, model by model, day after day. Nobody has time for that.
AI Rank closes the loop. Plug in a prompt your customers actually type, and we run it across ChatGPT, Claude and Gemini every day, capturing:
- Whether your domain appears in the citation list
- Whether your brand is mentioned in the answer prose
- Where in the answer it lands (citation rank, mention position)
- The sentiment of how the model talks about you
- The searches the model sent to Rank.ai's search tool before it answered, up to two per run
It sits on the existing Rank.ai platform: the same login and credit pool, and on Agency the same MCP server, which is in beta.
What's in the box
Per-prompt detail page. Click any tracked prompt and see, per provider:
- The full answer the model just produced
- The searches it sent to Rank.ai's search tool before answering, up to two per run
- Each cited URL, color coded as you (green), a tracked competitor (red) or a third party (blue)
- Citation positions anchored to the answer text where supported
Share of Voice. Add competitor brands and we'll tag every mention across runs. The detail page renders a stacked bar showing your share against each competitor over the last 7 days.
Source Authority. Across all your prompts, which domains do AI assistants cite most often? Bar chart sorted by citation count, with breadth (distinct prompts) shown alongside. Useful for spotting which third party sites, such as Reddit, G2, Wikipedia or niche industry blogs, are shaping how AI describes your category.
Sentiment timeline. Stacked bars showing positive, neutral, mixed and negative mentions over 30 days. If a model's framing of your brand shifts negative, you see it.
Auto-suggest. We pull the SEO keywords you already track in Rank.ai's National Rank Tracker and have an LLM rewrite them as natural language prompts a real customer would type. One click to accept.
Native MCP, day one
Rank.ai's MCP server is on the Growth and Agency plans and is in beta. Today's release adds two new tool families:
national_rank.*: list your tracked SERP keywords, pull rank historyai_rank.*: list prompts, create new ones, fire ad hoc checks, drill into a specific run's answer, queries and citations, generate suggestions
If you run Claude Desktop, Cursor or Cline with the Rank.ai MCP wired up, your AI assistant can query your visibility data and trigger checks directly. Try things like:
- "What's our visibility trend in ChatGPT this week?"
- "Track this keyword in AI Rank too."
- "Show me the searches Claude ran for our 'best Botox in Tampa' prompt."
How it actually works
Each daily check is an API call to each model through OpenRouter, with Rank.ai's web search tool switched on. The model can call that tool, which returns Google's top ten results, and each numbered citation in its answer maps to one of those results.
Each prompt gets one answer per model per day. After the day's runs settle, we roll them up into a daily aggregate that powers the dashboard.
A second, cheap LLM pass extracts every brand mention from the answer prose, separate from the formal citations list, so we catch "ChatGPT recommends Stripe" even when ChatGPT didn't link to stripe.com.
Pricing
AI Rank is available on Starter and above:
- Starter ($49/mo): 5 AI Rank prompts, all 3 providers, daily
- Growth ($129/mo): 25 AI Rank prompts
- Agency ($399/mo): 100 AI Rank prompts
- Done-for-you Boost / Growth / Dominate: 50 / 150 / 500 prompt seats
Each check costs 8 credits from your plan's credit pool, and an answer served from the six hour cache costs nothing.
Roadmap
What's next:
- Push and email alerts when visibility shifts materially from one day to the next
- Persona aware tracking: segment prompts by buyer persona
- Streaming answer text in the UI: watch the model write its answer in real time during a manual run
Update: Perplexity, Grok and DeepSeek are available now as opt in engines for each prompt.
Try it
Existing paid customers: open the Rank Tracker hub, click into the AI tab and use prompt suggestions to get 10 ideas, then track as many as your plan allows: 5 on Starter, 25 on Growth, 100 on Agency. The first daily run kicks off at 04:30 UTC.
On the Free plan, AI Rank isn't included. Upgrade to Starter to track 5 prompts; every new account starts with 14 days of Growth.
We've been working on this for weeks. We can't wait to see what you find.
