Does AI mention your brand?
See when your brand is mentioned, who else appears, and which pages AI cites.
Explore the productPrompt tracking
The questions your clients want to be found for.
| Prompt | Intent | Brand mention | Evidence |
|---|---|---|---|
| What are the best analytics tools for small SaaS teams? | Comparison | Mentioned | 2 sources |
| Which product analytics tools work without cookies? | Research | Mentioned | 3 sources |
| What should I use instead of a complex analytics suite? | Alternative | Not mentioned | 1 source |
Every observation keeps its context
- Buyer questionWording and intent
- MarketUnited States · English
- Answer engineChatGPT
- Cited sourcesOwned and independent
- Collection dateRecorded per sample
From a buyer's question to your team's next move. Measurement, evidence, and delivery stay in the same place.
Understand the answer. Review brand mentions with the question, collection date, and market attached.
Review the evidenceSee the page behind the answer. Separate a link to your own site from an independent source, and find the pages that shape the result.
Explore citationsMove the work forward. Give each finding an owner and acceptance criteria, then compare a later answer to the original.
See an action planReport with the evidence attached. Prepare client reviews that show sources, sample coverage, and the status of the work.
See a client reportEvidence, connected. Go from the question to its sources and the work it creates.
Keep the buyer's question in view.
A saved question gives the team a clear starting point and a consistent basis for a later comparison.
Clear about the data. Missing answers stay separate from a measured zero.
28 of 74 valid example answers
- Mentioned · 28
- Not mentioned · 46
- Missing, not zero · 6
Coverage: 74 of 80 planned answers
Evidence first.
Every number in llmcitely can be traced to a question, an answer, and its sources.
- Same question, same basis.Wording, market, and source stay fixed when you measure again.
- Answers are kept.Each sampled answer is stored with its engine and collection date.
- Sources are separated.Links to your own pages stay apart from independent sources.
- The denominator is shown.A percentage states how many valid answers it uses.
- Change is described carefully.Before and after shows what moved, not why it moved.
Made for careful client work. Read how llmcitely samples, stores, and compares AI answers.
Read the methodologyClient work, without losing the thread. Move between brands and keep context with every action.
- A workspace for your client portfolio
- Owners and status attached to work
- Reports with sources and coverage
Northstar Analytics
Questions, evidence, and next steps.
A few things to know first. Clear expectations about the data and the product.
What does llmcitely track?
llmcitely connects buyer questions, sampled AI web answers, brand mentions, citation sources, and the actions your team takes next. Each observation keeps its market, source, and collection context.
Which platforms are included?
Six platforms have passed local answer-and-source collection tests: ChatGPT, Gemini, Google AI Mode and Google AI Overviews for website answers; Perplexity and Claude for model API replies. Production rollout is pending. Region and search activity must be confirmed per sample before including it in comparable visibility metrics.
What does a monthly plan cost?
Monthly plans are Starter $39, Pro $129 and Agency $399, in USD before applicable tax. If tax applies, the tax amount and final total will be shown before payment. Ordinary collection is 1 point per question-platform run. Purchasing is not open while live platform acceptance, higher-cost route quotes and billing terms are finalized.
Do I need to write every question myself?
You can start with a website URL, a brand, or your own questions. Website analysis can propose questions for you to review before tracking. Availability depends on the workspace's discovery connection.
Can I try the product before setting up an account?
You can browse the interactive product preview here. Sign in to open your own sample workspace. Its clients and results are illustrative, and exploring it does not run a live collection.