Pandobix White-label AI visibility. Solutions included.
White-label AI visibility. Solutions included.

White-label AI visibility, scored against the Sigbase Retrieval Score (SRS) — the independent standard for AI visibility.

Turn visibility into leverage

Sigbase Retrieval Score (SRS)
44
/ 100
0 ▲ +31 from baseline 13 100
01 Entity clarity 52
02 Structured trust signals 47
03 Semantic organization 41
04 Citation consistency 38
05 Machine-readable expertise 42
Measured independently by Sigbase Methodology †
The problem

Your clients are being recommended — or ignored — by AI right now.

When someone asks ChatGPT, Gemini, or Perplexity for "the best med spa near me" or "a reliable HVAC company in Phoenix," those engines answer with names. Either your client's name is in that answer, or a competitor's is.

Your SEO stack can't see this happening. Rankings, traffic, and backlinks measure a different game — the one where a human scrolls a results page. AEO (sometimes called GEO) is the game where an AI engine decides who gets mentioned based on signals most agencies have never measured, let alone learned to shape.

That gap is now visible to your clients. It shouldn't be visible before you are.

The solution

Sell the fix under your brand. Let a neutral score do the talking.

Pandobix gives agencies a white-label AI visibility layer: entity clarity, structured trust signals, semantic organization, citation consistency, and machine-readable expertise — delivered to your clients as your service, under your name.

Every engagement is measured against the Sigbase Retrieval Score (SRS), a 0-100 score built from live queries across multiple AI engines. Sigbase Retrieval Score (SRS) is never white-labeled. The score carries Sigbase Retrieval Score (SRS) attribution on every report — which is exactly why your clients can trust it. You do the work. An independent instrument reports the reading.

Pandobix THE FIX LAYER

Does the optimization work. White-labeled — your clients see your brand, not ours.

measured by ↓
SIGBASE RETRIEVAL SCORE (SRS) THE INSTRUMENT

Scores the result. Never white-labeled — attribution on every report is what makes the number credible.

FICO doesn't white-label the credit score. Neither does Sigbase. That's the point.
Methodology 01
3 ENGINES · 1 BATTERY

Every scan runs a standardized query battery across three AI engines with consensus scoring — same battery, same math, every time.

How the score works →
Reproducibility 02
PINNED VERSIONS

Scans run against pinned engine versions with a dated, frozen baseline, so a score can be re-run and verified against the same methodology version.

Find. Fix. Verify.

See the full loop →
01
FIND Sigbase Retrieval Score (SRS) reveals the gap.
SIGBASE (SRS)
02
FIX Pandobix closes it, under your brand.
PANDOBIX
03
VERIFY Sigbase Retrieval Score (SRS) re-measures and reports the score movement.
SIGBASE (SRS)

See a client's score before you pitch them anything.

The free Sigbase Retrieval Score (SRS) reveal takes one client, runs the full scan, and hands you the number. If the score is strong, you've got a proof point. If it's weak, you've got a conversation your competitors can't start.

Run a free SRS reveal