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Machine Attention · How it works

From a useful service to a verifiable signal.

Agent Discovery Sponsorship places explicitly sponsored facts in a relevant machine response. Measurement starts with a qualifying sponsor-bearing application emission accepted by the central ledger.

  1. 01

    Choose the context

    The property, tool, API and campaign categories determine eligibility. Publisher exclusions and campaign state apply before delivery.

  2. 02

    Serve disclosed information

    The response identifies the advertiser and sponsorship immediately. Creative contains factual information and source URLs; the service remains useful if sponsorship is omitted.

  3. 03

    Prove the exposure

    A qualifying VME requires central acceptance of a sponsor-bearing POST application emission with stable campaign, creative and placement IDs, a timestamp and qualifying machine classification. Audit traffic and unproved methods are excluded. Configuration alone is not proof.

  4. 04

    Inspect what followed

    A directly attributed advertiser arrival can become VMD. Deeper exploration needs a baseline for MCE; citations require answer observations; referrals and conversions need their own evidence.

Readable by machines, inspectable by people

Information, with its sponsor attached.

This structural example illustrates the disclosure fields. It is not a live campaign, an approved creative or an exposure event.

{
    "sponsored": true,
    "disclosure": "Paid placement",
    "brand": "[verified advertiser name]",
    "description": "[supportable factual description]",
    "canonical_url": "[verified advertiser URL]",
    "campaign_url": "[registered campaign destination]",
    "facts": [
        {
            "claim": "[supportable fact]",
            "source": "[source URL]"
        }
    ],
    "campaign_id": "[assigned at campaign registration]",
    "placement_id": "[registered source and surface]",
    "creative_version_id": "[immutable approved version]"
}

Illustration only. IDs and claims are assigned and reviewed before live campaign delivery.

No inferred steps

Delivery is the beginning of the question.

  1. VME

    Verified Machine Exposure

    A qualifying sponsor-bearing application emission was centrally accepted under the published proof policy. It does not prove socket delivery, model reading, recommendation, citation or a sale.

    How we prove it →
  2. VMD

    Verified Machine Discovery

    A qualifying machine fetched a campaign-identified advertiser destination after a qualifying exposure within a declared attribution window.

    How we prove it →
  3. MCE

    Machine Crawl Expansion

    Change in qualifying advertiser exploration after discovery relative to a declared baseline or control.

    How we prove it →
  4. ACI

    AI Citation Influence

    Measured change in observed AI answers mentioning or citing the advertiser against baseline or control.

    How we prove it →
  5. HAR

    Human AI Referral

    A verified or probable human arrived at the advertiser through AI search or an assistant.

    How we prove it →
  6. AIC

    AI-Mediated Conversion

    A declared conversion is attributed under published rules to an AI-mediated referral chain.

    How we prove it →
Adverts without tracking people.

Human Attention and Machine Attention are separate product lanes. Every measure keeps its source, period, counting rule and limits.

Contracts & interoperability →