Measurement

Know whether AI recommends you.

rankyn asks the buying questions your shoppers actually ask, on the AI surfaces they use. You see who gets recommended, who wins instead, and why.

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“Best magnesium for better sleep?”

ChatGPT

Recommended

  • 1Halvor & CoMagnesium Bisglycinate Powder
  • 2Lumae LabsMagnesium Glycinate Capsules
  • 3OstrelHigh Absorption Magnesium

Not recommended

Your productNot in this answer

How a measurement runs

Every measurement starts from a buying intent and ends with a read on whether the AI recommends you. Five steps, repeated on every surface.

  1. 01

    Intent

    An intent is a buying situation your customers are in, such as finding a gentle magnesium for sleep. You choose the intents that matter for your catalogue.

  2. 02

    Prompt

    A prompt is one concrete question a shopper asks inside an intent, in their words and in your market. Each intent holds several prompts.

  3. 03

    AI surfaces

    Each prompt runs on the AI surfaces you choose, such as ChatGPT and Google AI Overview. One answer from one surface is one measurement.

  4. 04

    Answer

    rankyn captures every answer in full: which products the AI names, in which order, and what it says about them.

  5. 05

    Evaluation

    rankyn reads each answer against your products and your competitors, and turns it into a recommendation rate you can act on.

Your prompts, not a generic list

rankyn starts you from suggested intents and prompts, but the questions are yours to shape. Nothing is measured until you confirm it.

  • Suggested by AI at onboarding

    rankyn proposes buying intents and prompts from your catalogue and category, so you start with questions that fit your products.

  • You confirm or edit

    Nothing is activated without you. You confirm the suggestions you want, edit them, or write your own before the first measurement runs.

  • Shopper language, your market

    Prompts are written the way your customers ask, in your language and your market, so the measurement matches real buying behaviour.

  1. Your catalogRead from your store

    yourstore.myshopify.com128 products
    Magnesium Glycinate PowderSupplements · Sleep
    127 more products
  2. Suggested intents and promptsProposed by rankyn

    Magnesium for sleep3 prompts
    “Best magnesium for better sleep?”Suggested
    “Which magnesium helps you fall asleep faster?”Suggested
    “Magnesium glycinate or citrate for sleep?”Suggested
    Magnesium for muscle cramps3 prompts
  3. You confirm or editNothing is measured before this

    “Best magnesium for better sleep?”Confirmed
    “Which magnesium helps you fall asleep faster?”Confirmed
    “Is magnesium glycinate better than citrate for sleep?”Edited
    Write your own prompt

Measured every day

Every plan is measured daily, one sample a day. Each prompt runs on each surface on every measuring day.

Measuring days a week
7One sample a day on every measuring day.
AI surfaces to choose from
5Growth measures 5 of them at once; every prompt runs on each one.
Measurements a week
5,250Growth: 150 prompts × 5 surfaces × 7 days.

Your recommendation rate

The recommendation rate is the share of answers on one surface where the AI recommends your product. Every surface has its own rate, and every rate comes with who was recommended instead.

  • Defined per surface

    rankyn counts how often the AI puts your product forward, out of all the answers captured on that surface in a week.

  • Who is recommended instead

    Every rate names the competitors the AI chose over you, so you see who wins when you do not.

  • The number that matters

    The rate is your measure of whether you win the recommendation. A fix is proven when a re‑test moves it, not when a report sounds better.

Google AI OverviewAnswers this week

33%

4 of 12 answers recommend your productRecommended instead most often: Lumae Labs

Every surface has its own rate

  • ChatGPT17%Halvor & Co
  • AI Overview33%Lumae Labs
  • AI Mode0%Halvor & Co
  • Perplexity50%Ostrel

Your position in the answer

Position is where your product stands among the products an AI answer recommends, per surface. It is the second figure beside the recommendation rate, which stays the main one.

  • Only where you are recommended

    An answer that does not recommend your product has no position for it. That answer already counts against your rate.

  • Per surface

    Each AI surface orders its answer in its own way, so every surface shows its own position.

  • Beside the rate, not instead of it

    Being recommended comes first. Position tells you how prominently, once you are.

“Best magnesium for better sleep?”

Recommended in this answer

  1. 1Lumae LabsMagnesium Glycinate Capsules
  2. 2Your productMagnesium Glycinate Powder
  3. 3Halvor & CoMagnesium Bisglycinate Powder

Position per surface

  • #3ChatGPT
  • #2AI Overview
  • –AI ModeNot recommended
  • #1Perplexity

Share it as a PDF

Export a report with your recommendation rate, position, findings and re‑tests as a PDF and pass it on, to your team or, if you run an agency, to your client.

  • The whole picture in one file

    Recommendation rate and position per surface, the open findings with their fixes, and the latest re‑test results.

  • Made to pass on

    A PDF opens anywhere, so the people who decide see the same numbers you do, without an account.

PDF export is included in Growth and Scale.

AI visibility report

yourstore.myshopify.com · Last 4 weeks

Magnesium Glycinate Powder

Recommendation rate
33%Google AI Overview
Position
#2among recommended products
Open findings
31 high priority
Re‑tests
2latest: rate up
rankyn-report.pdfFor your client

See where you stand.

Start measuring this week with a free trial, or see where your store stands with a free audit first.

Get a free auditSee pricing

Questions about measurement

Cadence, prompts, surfaces and the recommendation rate in short. Can’t find your answer? Write to hello@rankyn.ai.

How often does rankyn measure?

rankyn measures every prompt on every surface daily, one sample per measuring day, so your recommendation rate is never built on a single answer.

What is a recommendation rate?

A recommendation rate is how often the AI recommends your product on one surface, out of all the answers rankyn captured there that week. It is your measure of whether you win the recommendation, and each surface has its own rate.

Who decides what rankyn measures?

You do, with a head start from rankyn. rankyn suggests buying intents and prompts from your catalogue and category, then you confirm, edit, or write your own. Nothing is measured until you activate it.

Which AI surfaces does rankyn measure?

rankyn measures the surfaces your shoppers actually ask, chosen from a pool of 5. Your plan sets how many you measure at once, and every surface is measured the way it really works, as a real interface or an API.

What counts as one measurement?

For rankyn, one measurement is one answer from one AI surface to one prompt. Your weekly total is prompts times surfaces times measuring days, so the plan you choose sets how wide and how often rankyn measures your catalogue.

How much will my plan measure?

rankyn sizes each plan by prompts times surfaces times measuring days, so more prompts, surfaces, and days means more measurements. The recommended plan runs 5,250 measurements a week across 5 surfaces.