AI Agents & Automation Practical insights
Build an agent that checks landing page claims
Compare landing-page statements with approved product facts and route unsupported claims to a reviewer before AI-generated campaign copy is published.
A claim-checking agent should identify what the evidence supports, not rewrite every sentence into a more confident promise. Its value comes from making unsupported or outdated statements visible before publication.
Prepare an approved evidence set
Use maintained product specifications, commercial terms and authorized substantiation records. Give each source an owner and review date. Separate current facts from roadmap items and historical results. The agent should not treat an old campaign headline as proof simply because it appears on your own website.
Check claims at the right level
Split compound statements into their factual parts. A sentence promising faster setup and lower cost contains two claims that may require different evidence. Ask the agent to label each as supported, contradicted or unresolved and cite the relevant passage. Do not let it infer numerical benefits from a general feature description.
Route ambiguity to a person
A product specialist may need to interpret a technical limit, while a legal reviewer may need to assess a comparative claim. Show the sentence, evidence and reason for escalation together. Preserve the original copy so the reviewer can see what would change.
Test before relying on the checker
Seed a sample with obsolete features, exaggerated numbers and correctly qualified claims. Measure missed problems and unnecessary flags. The agent supports editorial review; it does not certify that every marketing claim is lawful or accurate. Keep responsibility with the people who approve the final published statement.
Sources and evidence
Sources checked on 4 October 2026. Proposed workflows and hypothetical examples are editorial analysis.
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