Klype for martech companies: check AI drafts against your company facts

Martech companies check AI drafts by saving integration lists, the design behind each lift claim, deliverability definitions and which privacy obligations sit with the vendor and which with the customer. Web copy, sales emails and case studies are then run through a claim check that flags conversion lifts, integration counts and compliance promises the record cannot back.

Where AI drafts go wrong for martech companies

Martech buyers are marketers, and they know a lift claim when they see one. Assistants write them readily: "increase conversions by 35%", "200+ integrations", "100% deliverability". Each depends on a test design, a list or a definition. The FTC's substantiation policy expects a reasonable basis for claims before they are made, which in practice means the test must exist and be on file.

Privacy is the second area. A model writes "GDPR and CCPA compliant out of the box" without distinguishing the vendor's obligations from the customer's. For email products, CAN-SPAM's rules on sender information and opt-outs apply to the messages customers send, and the vendor's marketing should not claim to remove those duties.

Claims an AI draft might invent for martech companies

These examples are invented for this page to show the pattern. They describe no real company, customer or result.

"Increase conversions by 35%" with no test design.
"200+ integrations" when the current count is lower.
"100% inbox placement" with no definition.
"GDPR and CCPA compliant out of the box" when customers must configure consent.
"Cookieless attribution with 98% accuracy" with no method.

The facts martech companies would save once

A saved fact is one sentence you can stand behind, with its source and date. Anything a draft claims that matches none of them is flagged.

Integration list and the date it was counted.
For each lift claim: test design, sample, period, result.
Deliverability metrics and their definitions.
Which privacy duties belong to you and which to the customer.
Data retention and sub-processors.
Customer results you may publish.

The workflow

Save the integration list, lift test records and privacy responsibility statement.
Draft landing pages, emails and case studies in your assistant.
Run the claim check. Paste the test summary as source text for each lift claim.
Send flagged compliance claims to legal for sign-off by private link.
Publish, and keep the approval record with the asset.

The method is the one on the draft fact check page: Klype extracts the figures, guarantees, vague authority and stories in a draft, matches each to your saved facts and any source text you paste, flags what it cannot back, and keeps an approval record. It is rule-based, so the same text gets the same answer, and it never publishes or sends anything.

The 7-day trial needs no card. Prefer to talk it through for your team first? Use the contact form below.

What the check does not do

It compares claims with the facts you saved and any source text you paste. It does not browse the web, does not verify outside claims and does not replace legal, compliance or editorial review where your work needs it. When it finds nothing checkable, it says nothing was verified, so you still read every draft before it goes out.

Sources

Each source is cited for the single point made above. Klype does not give legal advice; ask your counsel how any rule applies to you.

Common questions

Can it verify our integration count?

No. It compares the draft to the count you saved and the date. Update the saved list when integrations are added.

Does it cover claims customers make using our product?

No. It covers your own drafts. You can offer customers the check separately for theirs.

Is a lift claim always a problem?

No. It is a problem without support. If the test record is saved, the claim is verified.

Where to go next

Read how the check works on the draft fact check page, or try the free post checker without signing up. Related guides: Klype for demand gen teams, Klype for devtools companies, and Klype for product marketing teams. The full list is on the hub.