Skip to content
WorksBuddy

Think bigger · Run lighter.

One number

One number per topic.
The size of your open door.

Ranko asks all four AI assistants each topic and scores how open the citation door is, zero to one hundred.

One number
How it works

From topic to a single score in 4 steps

Ranko probes each topic across ChatGPT, Claude, Perplexity, and Gemini, then scores it zero to one hundred.

1

Live Probing

Ranko asks the question, for real

For every topic, Ranko asks the question to ChatGPT, Claude, Perplexity, and Gemini as a real user would. Not a stale keyword volume, but a live probe capturing what each engine says right now.

  • Live Probing
  • Real Questions Asked
  • All 4 Engines
  • Current, Not Cached
2

Citation Measurement

The answers get measured carefully

For every response, Ranko checks two things: did the engine cite anyone, and was the source strong or weak. No citation is a wide open door; a weak one you can push through. Each is weighed by domain authority and depth.

  • No Citation Detection
  • Weak Citation Detection
  • Authority Weighted
  • Per Engine
3

The 0–100 Score

One number per topic, zero to one hundred

The four engines compress into one number, zero to one hundred. Eighty means wide open, most engines answered blank or cited weak sources. Twenty means strong authorities own it. One number, instantly comparable, ready to drive a decision.

  • 0–100 Range
  • Higher Means Open
  • Instantly Comparable
  • Sort, Filter, Decide
4

Prioritisation Currency

Score the list, pick the winners

Sort the topic list by Opportunity Score and prioritisation solves itself. The topics on top are where the door is widest open and a strong piece of content has the highest chance of taking the citation. Point to the score and move on.

  • Sort by Score
  • Top Equals Open
  • Decision Compression
  • Argument Ends
Why Teams Choose RANKO

Six reasons the open door is the only thing worth chasing

Once a team has one score per topic showing how open the door is now, arguing about what to publish next on gut feel stops being acceptable.

Who uses RANKO opportunity score
Deepak MehrotraDeepak MehrotraDeepak MehrotraDeepak Mehrotra

8200+

Teams prioritising with real scores, not guesses.

Built for teams who publish when the door is open

Founders, content marketers, SEO specialists, agencies, and SaaS growth teams use Ranko's Opportunity Score to find topics where AI engines still want sources to cite, scored live zero to one hundred across all four engines.

0 to 100

Score

4 AI

Engines

Live

Measurement

Per Topic

Number

Measurement Layer

Asks every engine, measures the answer

Ranko asks each topic to ChatGPT, Claude, Perplexity, and Gemini as a real user would, then measures the answer: was anyone cited, and was the source strong or weak. The signal is live, grounded in what engines do now.

Features

Everything the scoring engine ships with

A complete opportunity measurement toolkit in the same AEO platform you use, so you always know which doors are open.

Live Question Probing

Ranko asks each topic to ChatGPT, Claude, Perplexity, and Gemini as a real user would. Probing is live, so the score is current.

No Citation Detection

When an engine answers without citing anyone, the slot is open for a strong new answer. Ranko finds these wide open doors.

Weak Citation Detection

When engines cite only weak sources, the door is still pushable. Ranko scores citation strength by authority, depth, and frequency.

0 to 100 Opportunity Score

All measurements compress into one number, zero to one hundred per topic. Higher means a wider open door. Easy to sort.

Score Refresh as Engines Evolve

Engines change citation preferences. A topic that scored eighty last month might score forty now. The score refreshes often.

Suite Wide Prioritisation

The score is the currency Ranko runs on. Topic Planner ranks publishing by it, and Competitor Tracking flags when a rival lowers it.

Questions & answers

Everything you need to know

Common questions on how the score is calculated, what counts as no versus weak citation, and refreshes.

Exactly how is the score calculated?

The score is built from three measurements per engine, averaged across all four, then normalised to zero to one hundred. First, whether the engine answered with no citation at all, the strongest open door signal. Second, whether any citations came from weak sources you could push through. Third, the authority of the cited sources relative to your own domain. The three combine per engine, the four engines average into a topic score, and that single number is what the team sees.