The intelligence layer for agentic YouTube advertising.
Architect rates every YouTube channel for content, audience and brand safety, and gives your buyers and your AI agents the lists to buy from: maximum reach and relevance, without added brand risk. Kept current in DV360 and Google Ads.
The intelligence layer for agentic YouTube advertising.
Architect MCP plugs the AI tools your agency runs, and agentic buying systems, directly into Architect's channel intelligence. An agent asks for a channel selection in plain language and gets back a rated list, ready for DV360. Curation, exclusion and buying happen in one loop, and every decision carries its reason.
- CurationDescribe topic, audience, format and risk level. Get a channel list back, with the rationale for every channel.
- BuyingAgents pull exclusion and inclusion lists into the buying flow, so nobody maintains them by hand.
- Rules stay yoursBrand profile, risk level and exclusions are set by your team and applied to every request.
Four jobs, one intelligence layer.
YouTube's own settings are a good starting point, but coarse. Architect sits on top of your usual setup and adds channel by channel precision, for your buyers and for your agents.
Classify
Every channel is read three ways: metadata and text through our own language models, 37 channel signals, and a dedicated children's content model.
Exclude
Unwanted content is removed before the buy. Exclusion lists sync to Google Ads through the API, and a Chrome extension handles them in the browser.
Include
Find the channels that carry your message by topic, audience and format. Twin channels take the channels that already work for you and find more like them.
Deliver
Lists go straight into DV360 and Google Ads, by SDF or API, and stay in sync through the campaign. No new tool for your buyers to learn.
Clear. Review. Exclude.
Every channel on the plan is rated, then sorted into three verdicts: keep, check, or drop.
| Channel | Vertical | Subs | Safety | Quality | Waste | Budget |
|---|---|---|---|---|---|---|
| Daybreak Series | Entertainment | 1.0M | 88 | 91 | 4% | €800 |
| Midtown Hour | Entertainment | 1.2M | 89 | 89 | 8% | €17,629 |
| Clarity Health Daily | Health | 1.7M | 93 | 82 | 11% | €13,084 |
| The Ledger Lab | Finance | 322k | 94 | 80 | 18% | €1,500 |
| Bench & Bit | Tech | 424k | 84 | 79 | 22% | €1,817 |
| Market Aisle | Grocery | 382k | 83 | 71 | 31% | €21,366 |
| Arcade North | Gaming | 890k | 71 | 44 | 61% | €38,400 |
| Everyday Vlog | Lifestyle | 1.1M | 68 | 38 | 66% | €41,200 |
| Random Reacts | Reaction | 1.4M | 41 | 22 | 78% | €33,500 |
Example output, not measured campaign data. Sort logic shown is illustrative.
See what changes on one campaign.
Run a test campaign for two to four weeks and see the difference on your own numbers.
- 01Brand profile. Define preferences, audiences and risk level once per brand.
- 02Delivery. Lists arrive in DV360 or Google Ads through SDF or API.
- 03Automatic updates. Lists stay in sync through the campaign period, with the rationale for every channel.