Free tool · 7 ranked

Rank My AdTech.

Three models from three different labs read your site and answer the same three questions about it. A fourth reads all nine answers and writes the verdict. Everyone gets an opinion they didn't ask for.

We sell go-to-market work and this scores none of it. Nothing here is a pitch — where the panel disagrees, the page says so.

Any private adtech company. Yours or somebody else's.

00/07One to three minutes. The panel is thorough.

Every ranking goes on the public board, under the company's own name. No takebacks — though one email to hello@andorlabs.ca takes a row down.

Top of the board.

The full leaderboard
  1. 1The Media TrustFraud & Traffic Qualitylightweightbattle-testedgrizzledvigilantPanel split — 5 points between highest and lowestWorth a meeting22.3/30
  2. 2ConfiantFraud & Traffic Qualitylightweightthreat-intel-ledsentryvigilantPanel in agreementWorth a meeting22/30
  3. 3Scope3Agentic Buying & Ad Protocolsmiddleweightprotocol-firstself-disruptingspeculativePanel in agreementWorth a meeting19/30
  4. 4BlockthroughAdblock Revenue RecoverylightweightdependentwhitelistedvulnerablePanel in agreementNot convinced16/30
  5. 5EzoicPublisher Monetizationmiddleweightadvertiser-ledsprawlingfragilePanel split — 5 points between highest and lowestNot convinced15.6/30

Nothing on this side matches that filter yet.

Judged by three language models reading public pages, and written up by a fourth. An opinion, not research.

How it works.

  1. 01We read the siteUp to seven pages as rendered markdown, plus what a search turns up about the company elsewhere.
  2. 02Three labs judge itNVIDIA, Zhipu AI and Google DeepMind, at the same moment, unable to see each other.
  3. 03Nine answersThree questions times three judges, answered in five words: hard no, no, kinda, yes, extremely.
  4. 04A fourth writes it upThen it goes on the public board, ranked against its own corner of adtech.

The three questions.

Each answered in one of five words — hard no, no, kinda, yes, extremely.

  • InnovationWas this first, or only?
  • Hard to buildIs this hard to replicate?
  • Future outlookWill this still matter in three years?

The panelists.

Three models from three different labs — NVIDIA, Zhipu AI and Google DeepMind — each handed the same pages and asked the same three questions. Each holds one fixed lens across all three, so the engineer answers the outlook question as an engineer. They cannot see each other's answers — the calls run at the same moment, which is what makes agreement between them worth something.

  • NVIDIANemo

    Staff Engineer, Seat 1 · I judge by what breaks at 3am and who gets paged.

    Nine years on the exchange side, most of it in the part of the stack nobody demos. Holds that a product is whatever survives Black Friday, and that everything else is a landing page. Reads the careers page before the homepage.

    Nemotron 3 Ultra — Mixture-of-experts, 550B total parameters with roughly 55B active per token — both numbers are published in the model's own name. Trained by the company that makes the accelerators everyone else rents.

  • Zhipu AIAtlas

    Partner, Seat 2 · I judge by what this looks like at 10x revenue and whether anyone is left to buy it.

    Partner at a fund you have heard of and cannot quite name. Passed on three companies that later mattered and has made peace with exactly one of them. Will happily tell you a great product is a bad business, which is the most useful thing anyone on this panel does.

    GLM 5.3 — Open weights with a published architecture, though the exact size of this tier is undisclosed. Built by a lab that spun out of Tsinghua and ships more than it announces.

  • Google DeepMindJuno

    Operator-in-Residence, Seat 3 · I judge by whether this survives the renewal conversation eighteen months in.

    Three exits, two of which are not up for discussion. Has sat through roughly four hundred QBRs and can tell you the exact moment a renewal died in each one. Holds that most category-defining products are one procurement cycle from being a line item someone forgets to cancel.

    Gemini 3.5 Flash Lite — The smaller of Google's fast tiers. Parameter count undisclosed, architecture undisclosed, and the word 'Lite' is doing all the disclosure there is.

Vega, Clerk of the Panel, writes the summary and scores nothing. Never averages. When the panel splits, the split is the finding. Played by GPT-5.6 Luna (OpenAI). Parameter count undisclosed. Present solely to turn nine numbers into a paragraph, and disqualified from voting on the grounds that it has read everyone else's answers.