AI-Assisted Marketing Deliverables: Build a Claim Ledger Before Release

Separate the message from the evidence burden

Start by marking each sentence as a factual description, measurable performance claim, comparison, forecast, customer statement, or creative opinion. Only some categories require external substantiation, but all need a named owner and a clear audience. Record the intended channel, geography, offer version, publication window, and the action a reader could reasonably take after seeing the message.

The US Federal Trade Commission says advertisers should have a reasonable basis for objective express and implied claims before dissemination (FTC advertising substantiation policy). That is a useful source for the principle of pre-release support. It is not a substitute for jurisdiction-specific legal review, nor does this page decide what a particular audience will infer.

Sources: [1]

Use a six-field claim ledger

For every material claim, capture: the exact wording; the likely reader interpretation; the source and date; the evidence owner; permitted qualifiers; and the release decision. Add a seventh field when AI materially transformed the source, describing the transformation and the human check. Keep rejected alternatives so reviewers can see whether a later rewrite quietly restores a stronger unsupported promise.

NIST's voluntary AI Risk Management Framework organizes risk work around govern, map, measure, and manage and emphasizes contextual documentation across the lifecycle (NIST AI RMF). A marketing team can borrow that logic without claiming certification: govern who approves, map the audience and claim, measure whether evidence matches, and manage exceptions or withdrawals.

Sources: [2]

Worked artifact: launch-page review

Imagine a synthetic launch page for an AI-enabled workflow tool. The draft says it “eliminates review work,” “improves accuracy,” and “supports controlled collaboration.” The ledger marks the first two as outcome claims. No approved study or customer evidence supports them, so the reviewer replaces them with a bounded description of the workflow. The collaboration statement is linked to current product documentation and limited to the tested configuration.

The final packet contains the page version, three ledger rows, screenshots of the configured behavior, the source documents, the approver, and an expiry date. A separate creative line is retained as opinion but checked for an implied performance claim. The team does not cite internal brainstorming as evidence.

Verify the released artifact, not only the draft

After deployment, compare the live title, body, structured data, image text, and call to action with the approved packet. Check that qualifiers were not lost in layout, that a translated or shortened variant does not strengthen the claim, and that source links still resolve. For experiment results, preserve the denominator, time window, exclusions, and difference between observation and attribution.

Handle claims that cannot be closed

An unresolved row should not disappear into a comment thread. Give it a visible disposition: remove the claim, narrow it to what is supported, obtain the required evidence, or hold the asset. Record why the decision was made and what event would justify reopening it. If several channels reuse the same statement, link them to one controlled claim record so a correction reaches every instance. Expired evidence should trigger review even when the wording has not changed.

Keep creative judgment separate from factual approval. A brand reviewer may decide that a line fits the voice, while an evidence owner decides whether its objective implication is supportable. Requiring both decisions prevents a polished line from bypassing the evidence check and prevents a claims reviewer from becoming the unrecorded owner of creative strategy.

The claim ledger is an educational review method. It does not establish that a message complies with advertising law, that evidence is sufficient for every audience, or that an AI-generated campaign will perform. Those conclusions require current facts, applicable rules, qualified review, and operating evidence.