Skip to main content
09 January, 2026

What is the “Auto Pulse Rank (APR)” on our platform

09 January, 2026
Definition (non-negotiable):
Car Page Rank = the probability that a listing is shown on page 1 for relevant searches.
Not clicks. Not quality. Not beauty. Visibility. If a car sits on page 2, it is effectively invisible. Dealers know this instinctively.

Key insight: cars don’t compete in one dimension — they compete in search moments

A car does NOT have one rank. It has many ranks, depending on:
  • the user’s filters
  • the user’s intent
  • the sorting logic
So the correct question is not:
“What is my car’s rank?”
But:
“In how many relevant searches does my car appear early?”
That’s the breakthrough.

The core concept: Search-Space Page Rank (SSPR)

Instead of comparing a car to “similar cars”, we measure:
How much of the relevant search space this car dominates.

Think of it like this:

Every possible search creates a ranking list. Your car either:
  • appears early
  • appears late
  • or doesn’t appear at all
Your Page Rank is an aggregation of all those outcomes.

Step 1 – Let’s define the dominant search axes (user reality)

From real behavior, 90% of users search by combinations of:
  1. Price
  2. Mileage
  3. Year
  4. Body size / seats
  5. Fuel / consumption
  6. Location
Brand is secondary in many searches. So we build rank around price–value equivalence, not brand equivalence.

Step 2 – Build “Comparable Value Buckets” (this replaces peer groups)

Our Value Buckets: A bucket is defined by:
  • Price range (e.g. €28k–32k)
  • Mileage range (e.g. 60–100k)
  • Year range (±2 years)
  • Size class (not model: compact / midsize / large)
  • Fuel type
Inside a bucket you may have:
  • Audi A8
  • BMW 7 Series
  • Mercedes E/S-Class
  • Volvo S90
  • Lexus LS
  • Large SUV alternatives
This matches buyer substitution logic.

Step 3 – Simple classification that everyone understands

  • Page 1 (positions 1–10)
  • Page 2 (11–20)
  • Invisible (>20 or excluded)

Step 4 – Translating numbers into “human language”

Example for a specific car listed on Auto Pulse has the following page rank:
  • Page Rank: 30%
What does that mean?
  • “Your car appears on page 1 in 3 out of 10 relevant searches.”

Why the rank is low or high

Now we decompose rank blockers. For each car, identify:
  • Searches where it just misses page 1 (e.g. ranks 11–15)
Then analyze:
  • How much cheaper cars rank above it
  • How much newer
  • How much lower mileage
This gives you delta explanations:
“In most searches, your car ranks just behind offers that are • €/CHF 800 cheaper or • ~15,000 km lower.”
What actually moves page rank:

Primary levers:

  • Price
  • Image quality (affects sorting tie-breakers)
  • Data completeness
  • Freshness (update cadence)
“Brand does not affect ranking. Price–value position does.”
Our Auto Pulse Rank (APR) ✔ Reflects real user behavior ✔ Cross-brand comparable ✔ Scales with inventory growth ✔ Hard to manipulate ✔ Aligns with Google PageRank intuition This is not a “score”. It’s search gravity and we call it “Auto Pulse Rank (APR)”