The AI search toolkit · 2.0Measure · Tool 16
Free AI Citation Tracker
Keep a portable evidence log of AI answers. Track brand mentions and linked citations separately, group observations by their test conditions, and import or export your records without an account.
Add observation to log
Processed in your browserExample data is loaded. These are fictional demonstration inputs, not a DigiMSM or client performance result. Use Clear to start your own analysis; editing example values keeps the run labelled as an example.
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Keep or restore your log
Page memory only. Download JSON before closing or refreshing. Import restores version 2 tracker or Visibility Checker records.
Inputs changed. Run the tool again to refresh the result and enable exports.
Your evidence comes first.
Record AI mentions and linked citations separately with portable JSON history. Enter your information or load the labelled example to see the workflow.
No score, scan or platform result is invented while you wait.
A practical workflow
From input to a useful next step.
Log a completed observation
Record the brand, date, platform, mode, market, prompt type and actual question. Mark the mention decision and enter only the brand citation links you verified in the answer.
Compare compatible groups
Read rates grouped by brand, month, platform, mode, market and branded or unbranded scope. Keep your prompt set consistent before interpreting changes.
Keep ownership of the history
Download version 2 JSON before leaving the page. Import that file later, merge new observations and use the row removal and undo controls to correct the local log.
Know what you are measuring
The method behind the result.
Record AI mentions and linked citations separately with portable JSON history. The scope and limitations below help you interpret the output and decide what to verify next.
Two distinct rates
Mention rate counts answers recorded as mentioning the brand. Linked-citation rate counts answers with at least one supplied brand citation URL. Multiple links in one answer do not become multiple successful answers.
Sample conditions stay attached
The report groups observations without silently mixing brands or engines. It does not announce a trend from the order in which rows were added or infer that a change was caused by a particular SEO action.
Portable, session-based records
The log stays in page memory and supports up to 1,000 observations. JSON imports are validated before merging, and exact duplicates are skipped. CSV is a report format; JSON is the lossless restoration format.
Clear answers
Before you act on the result.
Understand the inputs, what the output can establish and how to use it in a broader audit.
Does this tracker monitor platforms automatically?
No. It records observations you enter or import. Automated monitoring across platforms needs separate access, scheduling, storage and a defined measurement protocol.
How are mention and citation rates calculated?
Within each displayed group, mention rate is recorded mentions divided by completed observations. Linked-citation rate is observations with at least one supplied brand citation link divided by completed observations. Each answer counts once.
Are my records saved after I close the page?
No. The fragment uses session memory without automatic browser storage. Download the JSON export before closing, refreshing or navigating away, then import it on your next visit.
Can I import a Visibility Checker result?
Yes. Its version 2 observation JSON uses the same record format. Imports are checked before merging and exact duplicate observations are skipped.
Can I import my older CSV tracker file?
This version uses JSON records with explicit brand, test conditions and separate citation evidence. Older mention-only CSV exports need those missing fields reviewed before conversion; a historical mention must not be silently relabelled as a citation.
Does a higher rate prove the SEO changes worked?
It shows a change in the observed sample only when comparable observations support that comparison. Prompt mix, platform behaviour, model changes and other factors can also affect the result. Keep supporting evidence and interpret it carefully.
Continue your investigation
The next check is one click away.
AI Visibility Checker
Review brand mentions and supplied citation links in a real AI answer.
Open this tool ↗AI Prompt Pack Generator
Create unbranded discovery prompts and separate branded accuracy tests.
Open this tool ↗AI Answer Difference Checker
Compare two AI answers with word-level changes and brand phrase checks.
Open this tool ↗DigiMSM · AI visibility strategy
Use citation evidence to prioritize the next improvement.
DigiMSM can review a consistent answer sample, identify repeated source and content gaps, and propose the next implementation steps.
Built for DigiMSM · Methods reviewed 14 September 2026 · Free tool; service work is scoped separately.