OTW Signal by OTW Motion

The measurement standard for AI recommendation.

AI is becoming a decision layer between businesses and their buyers. When it names a few companies and leaves the rest out, that decision should be measurable, explainable, and possible to improve.

Founded in Toronto by Melinda TongdeeMeasure · Understand · Improve

A new question is entering every boardroom: What does AI say about us?

Search told businesses where they ranked. Analytics told them what people clicked. AI recommendations often provide neither. A buyer asks one question, receives a short answer, and a few businesses become the options. Everyone else disappears from the decision.

OTW Motion exists to make that new layer of discovery visible.

Vision and mission

The Nielsen of AI recommendation.

Within five years, “What does AI say about us?” will be a standard business question. We intend to be the standard answer, across products, markets, languages, and AI platforms.

01 / Vision

Make AI recommendation accountable.

Businesses should be able to see when they are named, when they are overlooked, which competitors take their place, and what evidence shaped the answer.

02 / Mission

Turn a black box into an instrument.

We build measurement, reporting, and implementation systems that help teams understand their AI visibility, act on it, and measure again to see what genuinely changed.

What we believe

The result is only useful if people can trust how it was made.

01

Measure before acting.

Optimization without a baseline is guesswork. We start by showing where the business stands, then decide what deserves to change.

02

Evidence belongs with the number.

A score is not enough. Teams should be able to open the answers behind it, challenge the interpretation, and understand the uncertainty.

03

The instrument must fit the business.

A fixed dashboard cannot represent every product, market, buyer journey, or client workflow. The questions, scope, AI platforms, delivery, branding, and integrations should adapt.

04

Measurement should lead to action.

Knowing that AI overlooks a business is not the finish line. We help teams improve positioning, content, technical signals, and third-party presence, then re-measure the same ground.

05

Be honest about what the data can say.

AI answers change. Close rankings are not always real gaps. We would rather show uncertainty clearly than turn a noisy result into a confident story.

Melinda Tongdee, founder of OTW Motion
Founder
“For four years, my job was making sure the machine named my company.”

Before founding OTW Motion, Melinda Tongdee worked across product, growth, and digital acquisition at Traveloka and BMO Insurance. At Traveloka, she led work across seven markets, a US$10M annual budget, and an 11-person team. She holds an MBA from the University of Toronto's Rotman School of Management and a Lean Six Sigma Green Belt.

That experience now informs OTW Signal: a measurement system built by someone who has worked on both sides of the recommendation layer, and knows that being named is only meaningful when the business can understand why.

Melinda Tongdee
Founder & AI Visibility Measurement Lead, OTW Motion · Toronto
How the mission becomes work

One problem, several ways to solve it.

Some teams need a clear baseline. Others need ongoing infrastructure or someone to carry out the work. OTW Signal is designed to meet the business where it is.

Measure

Signal Report

A focused measurement of the buyer questions, products, markets, and AI platforms that matter, with competitors and evidence behind the result.

View a sample →
Operationalize

Signal Suite

Ongoing visibility management for teams, agencies, and portfolios, with flexible reporting, white-label delivery, dashboards, exports, email, Slack, and integrations.

Explore the suite →
Improve

Full service

Measurement plus implementation. We help make the positioning, content, technical, and third-party changes, then re-measure to show what moved.

See how it works →
OTW Motion

Make AI recommendation something you can see and shape.

Start with the evidence, build around the business, and change only what the measurement gives you a reason to change.