Home/Platform
Citation Proof

Before and after, on every scan

Every scan is a checkpoint. Ship a fix, re-scan, and Citation Proof shows what moved — new citations, better position, higher share of voice — so 'we improved AI visibility' stops being a claim and becomes evidence.

Every scan is a checkpointChange you can point toTies work to outcome
aurvikon · live scan
Illustrative
Citations — before vs after fixes
Before
After
citations up after shipping fixes

Effort you can't prove doesn't get funded

You did the work — schema, content, sources — but if you can't show the model now cites you where it didn't before, it reads as opinion. Proof is what renews budget and retainers.

No baseline
Without a before, there's no way to show an after — the improvement is invisible.
Anecdotes don't renew
'It feels better' won't survive a budget review. Evidence will.
Work disconnected from outcome
Fixes and results live in different places, so nobody sees the cause and effect.

Turn every fix into evidence

Before / after diffs
Compare any two scans and see exactly what changed — citations gained, position improved, sentiment shifted.
New citations, highlighted
See the specific new sources and answers where you now appear and previously didn't.
Share-of-voice movement
Watch your honest share climb (or dip) so wins and regressions are both visible.
Proof you can present
Roll the change straight into a boardroom report that justifies the work.
How it works
01
Baseline it
Your first scan sets the before — visibility, citations, share of voice.
02
Ship your fixes
Work the recommendations: schema, content, source gaps.
03
Prove the lift
Re-scan and show the before/after diff that makes the result undeniable.
What's inside
Scan-to-scan diffing
New-citation highlighting
Position & sentiment change
Share-of-voice movement
Proof rolled into reports

Questions, answered honestly

How does the before/after work?
Each scan is stored as a checkpoint. Citation Proof compares any two, surfacing exactly what changed in citations, position, sentiment and share of voice.
Can I use this to justify spend?
That's exactly its purpose — to turn shipped work into visible, defensible movement you can present to leadership or a client.
What if a change made things worse?
You'll see that too. Honest measurement means regressions are as visible as wins, so you can course-correct quickly.
More in Platform

Baseline your AI visibility today

Run a free brand check to set the 'before' — then prove the 'after'.