We built Praised to turn AI answers into work that wins them.

Praised (praised.co) is an AI visibility platform. Praised finds which competitors ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity and Copilot recommend, turns the gaps into marketing work, and tracks what changes.

Why Praised existsOne question, followed to the result

The question

A buyer asks an AI tool for the best rain jacket under $200.

48 tracked questions · 6 engines

The answer

The AI tool recommends a competitor and cites a test the brand is missing from.

Alpenway in 15 of 18 answers

The work

The team pitches the test and rewrites the page, with the question attached.

Pitch drafted · page in review

The result

Later answers to the same question show what moved.

18% → 24% of answers
Praised Oy · Business ID 3454899-8 · Espoo, FinlandExplore the platform

The problem

Buyers ask before they visit

A buyer asks ChatGPT for a recommendation and gets a short list. Most teams can’t tell which questions they lose, why a competitor wins or whether their work helps. Praised answers all three, and holds the work too.

Who AI recommends instead for one question: Alpenway in 15 of 18 answers and Kestrel in 2, with each engine’s top pick

Company

Who builds Praised

Praised was founded by Holmes Nguyen, a marketer and strategist in Espoo, Finland, and is made by Praised Oy. Holmes previously led a GEO and AEO project for a global maker of measurement instruments, from a page audit to rewritten product pages. The lesson: measuring pays off when it leads to the next piece of work. The blog is written by the Praised team with AI assistance.

The company

Praised Oy

Registered
A limited company, Finland
Business ID
3454899-8
Address
Kivenhakkaajankuja 3 B, 02650 Espoo
Contracting party
On our terms of service
Data controller
Named in our privacy policy

What we believe

A recommendation is won by work

A score on its own changes nothing. Answers change when the work changes what engines read: a page that answers the buyer, a source that includes you, a correct product fact. We check every shipped piece against a later reading.

Shipped work checked against later readings: four verified, one did not improve, two inconclusive and three waiting for a check

What the platform brings together.

For brands and for each of their products, in every market they sell in.

  1. Kestrel ranked 2nd to 3rd of 5 brands by how often answers name each, Alpenway first at 41%

    Where you stand.

    The buying questions you track, on six AI platforms, with the competitor chosen instead and the sources behind each answer.

  2. Draft v3 graded against 14 cited pages: the answer arrives at word 140, where cited pages answer in the first 60

    The work that changes it.

    Research, pages, source contributions and Agent workflows, each carrying the question and your approved facts.

  3. Kestrel rose from 15% to 24% of answers while ten pieces of work shipped, four of them verified

    What moved.

    Every shipped piece read against its target, with the visits it sent and the report your team or client reads.

Getting in touch

hello@praised.co

One address reaches us for everything: support, security reports, press, invoicing and GDPR requests. Full details are on the contact page.

Read further

Questions, answered.

Something else on your mind? Contact us.

Praised was founded by Holmes Nguyen and is made by Praised Oy, a limited company registered in Finland (Business ID 3454899-8) in Espoo. Praised Oy is the contracting party on the terms of service and the data controller named in the privacy policy.

Praised tracks how AI tools like ChatGPT discover, describe and recommend your brand and products, and turns the gaps into research, content and source work with a result you can check.

In the measurement methodology: the question set, how answers are sampled, how each figure is scored and when a reading is withheld.

It checks a public page’s readiness to be found, understood and cited. Ongoing tracking and work belong in the platform.

Follow one opportunity through the platform.

Find a question a competitor wins, then follow the gap into research, content or source work and the result after.