This is the working record behind the six gaps in marketing. Each proposal can be proved at small scale first, with an evidence class, a build split and a validation test.
Each gap carries the three fields from the brief, the six-condition test, the evidence class, the build split and a validation test.
A generated image, voice or video arrives with no account behind it, so there is nothing for a badge to confirm.
Verification badges, in the Creator Economy, confirm that an account belongs to the person it names.
A verification badge for content, not only for accounts, carrying signed provenance.
A signed record can show origin and edits, but only where the creation tool signs.
The C2PA specification is open, so an outside party can check a credential.
A credential can travel with the file, and it persists only where the channels keep it.
Google, OpenAI, Kakao and ElevenLabs have adopted SynthID, and cross-vendor reading is beginning.
EU marking duties bind providers from August 2026, and content made elsewhere has no equivalent boundary.
EU enforcement applies, with a grace period to 2 December 2026 for certain duties.
Sign images and video in one team’s production workflow and check each credential before publication.
Display the credential where the audience reads, which depends on channels keeping and showing it.
Sign 200 assets and ask ten buyers or journalists to verify them. If at least 80 percent verify without help, the badge justifies the build.
An answer can satisfy a buyer without a visit, so the click that carried credit no longer happens.
Attribution standards credit the touchpoint that led to a sale, and revenue-share agreements pay the content that drew attention.
An attribution standard for answer engines, paid through a revenue-share agreement.
Comet Plus counts use by participating publishers, inside one platform.
No shared reference says which source supported which answer.
Payment per use could move between platforms, and today it stays inside each programme.
Credit earned in one engine has no value in another.
Only publishers who join the programme are inside it.
Lawsuits and licence deals, such as Dow Jones against Perplexity and Factiva’s agreements, act as enforcement today.
Per-answer source lists with a usage count, for one publisher group.
A shared standard across answer engines.
Trace 100 answers to their cited sources. If fewer than 80 percent of answer sentences trace to a named source, the standard justifies the build.
One model can now create an ad and choose its audience, which leaves no record of who approved the claim or the targeting.
Programmatic protocols and ad exchanges place ads that people made and approved.
A programmatic protocol with an approval record for each AI-created ad.
The protocol has no field for who approved a claim or an audience.
The FTC’s expectation that claims be substantiated gives a reference.
An approval record could pass from agency to platform if both accept the field.
Ad exchanges already pass structured data, so a new field could ride with it.
Nothing yet marks which ads were created and targeted by a model.
Substantiation guidance carries enforcement risk, and no rule requires an approval record.
An approver field on each AI-created ad in one team’s workflow.
The field carried through ad exchanges, which depends on platform adoption.
Audit 100 live ads. If fewer than 80 percent show a named approver for the claim and the audience, the protocol justifies the build.
A model can set an offer or a price for one person, and the buyer has no way to tell.
Marketplace policy sets what may be sold and claimed, and programmatic protocols decide who sees what.
A marketplace policy with a disclosure field for personalised offers and prices.
Today a buyer cannot see which personal data set the offer.
The FTC’s August 2026 proposed statement gives a reference for disclosure.
A disclosure made on one site does not travel to another.
No common format exists for the disclosure.
The proposed statement applies to commerce in the United States.
Businesses that do not tell consumers how personal data sets a price face FTC Act exposure.
A plain-language line beside each personalised offer saying which data set it, in one channel.
A common disclosure format across marketplaces.
Check 50 personalised offers. If fewer than 70 percent disclose the data used, the policy justifies the build.
A large number of variants multiplies impressions and says nothing about how many distinct claims a buyer was shown.
Impression metrics count how many times an asset was shown.
An impression metric counted by approved claim as well as by asset.
Platforms already log each asset, so a claim tag could be added.
No industry definition of a claim exists.
A claim count could move between buyer and seller reports.
Impressions by claim have no shared unit.
Nothing separates a new claim from a new variant.
No body measures or enforces it.
A claim tag on each asset in one team’s reporting, with distinct claims counted beside impressions.
A shared claim definition inside industry measurement frameworks.
Count distinct claims in 50 campaigns. If fewer than half the variants carry a distinct claim in most campaigns, the metric justifies the build.
A fluent claim can have no source behind it, and the rule that asks for substantiation assumed a person wrote it.
Marketplace policy and advertising rules ask that claims be substantiated.
A marketplace policy that carries a substantiation record for each claim.
A record can list the source, and only if someone writes it down.
FTC guidance and the NIST risk profile give references.
A record could follow the claim from copy to platform.
Records are not yet written in a common format.
Platform rules apply inside each marketplace.
Regulators enforce substantiation after the fact.
A substantiation record for the fifty claims a team uses most, with a review date.
Records that pass with the claim into marketplaces, which depends on a shared format.
Sample 100 claims in AI-assisted copy. If more than 10 percent lack a source on file, the policy justifies the build.
| Gap | Micro-container extended | Value pathway | Who benefits | Payer | First proof to seek |
|---|---|---|---|---|---|
| 01 Content with no account behind it | Verification badges | Risk reduction; credibility | Marketers, audiences, press | Brand and communications risk budget | More than 80 percent verified without help |
| 02 Answers that replace the click | Attribution standards and revenue-share agreements | Revenue capture; licensing | Publishers, marketers | Answer-engine operators and publishers | More than 80 percent of sentences traced |
| 03 Ads made and aimed by one system | Programmatic protocols and ad exchanges | Risk reduction; audit cost | Brand teams, agencies, platforms | Marketing operations budget | Named approver on more than 80 percent of ads |
| 04 Offers and prices set for one person | Marketplace policy | Compliance cost reduction | Shoppers, marketers, regulators | Compliance and marketing budgets | Disclosure on more than 90 percent of offers |
| 05 Impressions that count variants | Impression metrics | Better budget decisions | Buyers, measurement bodies | Marketing analytics budget | Claim count reported on every campaign |
| 06 Claims no one wrote | Marketplace policy | Risk reduction | Brands, buyers, regulators | Legal and marketing budgets | Unsupported claims below 2 percent |
gap_id: Stable identifier, for example MS-MKT-01.
function_id / disruption_ref: Originating function and Disruptions article.
broke: What the abundance broke, in one sentence.
existing_micro_container / economy: The Eras-table micro-container and its economy.
proposed_micro_container: The extension that could hold the gap.
six_conditions: Met, partly met or unmet, with one line of reasoning for each condition.
evidence_class / sources: Evidence label and references.
build_now / build_later: Immediate offering and dependency-based future offering.
validation_test / status: The test to run and the research status.
movers: Leaders Building, Accelerating or Capitalizing, linked to profiles.
Every proposal extends a micro-container the Information Era already built. These are the ones extended here, by economy.
Creator Economy: Verification badges, Revenue-share agreements.
Attention Economy: Attribution standards, Programmatic protocols, Ad exchanges, Impression metrics.
Platform Economy: Marketplace policy.
Tomorrow is an open canvas. These are the leaders in the record who are already Building, Accelerating or Capitalizing toward these micro-containers.
The micro-containers and pressures this working record builds on.
An open standard for signed provenance of digital content.
The expansion of Content Credentials and SynthID verification to Search and Chrome.
Regulation (EU) 2026/1744 and the dates for transparency duties.
The compensation model that moves away from ad-driven traffic.
The October 2024 copyright complaint.
How Factiva obtained approval and compensates publishers for AI summaries.
Meta’s plan for brands to create and target ads fully with AI.
A summary of the August 2026 proposed statement.
Estimates of generative AI’s value in marketing and sales.
The FTC’s guidance on substantiating AI claims.
The standards body’s list of twelve risks specific to or made worse by generative AI.
A meta-analysis of 56 studies on how well people spot deepfakes.
Funding the build, for readers who can direct capital toward the containerization.
Developing the micro-container that holds the gap, for readers who can make the technology.
Helping the micro-container reach scale, for readers who can set standards, convene consensus or move the political and regulatory conditions.
Note: The perspectives shared on GreenDeveX.com are the author's independent analytical interpretations of trust as a historical medium of exchange. This commentary is intended for conceptual exploration and does not constitute peer-reviewed academic research or commissioned institutional findings.