
How to check marketing claims written by AI
To check marketing claims written by AI, extract each sentence’s promise and connect every part to evidence. Persuasive copy may introduce numbers, comparisons or guarantees nobody decided to assert.
The example is a fictional promotion for a project organizer. The team wants to explain its features but has not conducted a comparative productivity study.
Locate what readers will understand as a promise
Mark phrases such as “the fastest,” “eliminates errors,” “all customers” and “save half the time.” They communicate something more specific than a stylistic preference.
Also examine implications: a sentence can suggest research exists without mentioning a study. Read the heading, image and call to action together to understand the complete message.
The FTC small-business advertising guidance provides a reference on the relationship between claims and objective support. This process organizes editorial checking rather than replacing professional analysis applicable to a campaign.
Split sentences combining several commitments
Consider this invented sentence: “the market’s most efficient tool reduces errors and makes your team deliver twice as much.” It combines a comparison, an operational outcome and a performance measure.
Separate the three commitments before searching for sources. Demonstrating a feature does not automatically establish every conclusion added by the copy.
| Sentence part | What needs clarification |
|---|---|
| Market’s most efficient | Market, criterion and comparison |
| Reduces errors | Error type, context and observation |
| Twice as many deliveries | Measure, baseline and method |
| Your team | Population in which the result was observed |
The table helps define an investigation rather than invent a methodology after making a promise. If suitable evidence does not exist, the message needs to change.
Check whether evidence matches the sentence
Open supporting material and record what it actually permits you to claim. Distinguish an internal demonstration, individual account, comparison and test result.
The ASA substantiation guidance also distinguishes objective claims from insufficient support. Use that reference to recognize differences between a verifiable statement and opinion, respecting each campaign’s context.
Check the material’s date, product version and conditions. An old result may not support a general promise about the configuration now being promoted.
Request a limited text audit
Review this promotion using only the attached evidence.
Extract promises, numbers, comparisons and guarantees.
For each, cite the sentence and material supporting it.
If support is absent, write “evidence not provided.”
Suggest a version describing only demonstrable features.
Do not invent testimonials, tests, studies or outcomes.
AI can identify correspondences, but you need to open documents and verify the connection. A plausible source name is not a located reference.
Rewrite to communicate demonstrated value
In this example, an alternative would explain that the tool brings owners and deadlines into one view, if that feature has been confirmed. It describes an observable capability without promising unmeasured performance.
You can still write clearly and attractively. The goal is making the promise fit the evidence rather than stretching evidence to fit a larger promise.
Common mistakes and releasing the piece
Avoid using a testimonial as a universal comparison, omitting conditions to strengthen a sentence and accepting a percentage because several copy versions repeat it. Repetition does not turn a claim into data.
Finish with a list of approved claims, their sources and adjustments made. If the campaign changes its promise, repeat the check on the affected part.
Also use the AI content checklist to review links, examples and the reading experience at the final destination. A campaign becomes more consistent when the team can explain the basis of every important claim.
Frequently asked questions
Which marketing claims need particular attention?
Review numbers, comparisons, guarantees, superlatives and results attributed to customers. Identify both explicit and implied messages.
Does a testimonial prove every performance promise?
No. An individual experience and an objective comparison are different evidence types; check whether support matches the written claim.
What if AI created a claim without a source?
Find appropriate evidence, narrow the claim to what can be demonstrated or remove it. Do not invent a supporting reference.