Every AI context pitch promises the same thing: feed your agents the right rules and they will stop sending outdated offers. The catch is that most marketing teams are not ready to provide those rules. Before signing, teams need to understand exactly what “context” means—and where the real work sits.
Context is the word of 2026
Scott Brinker, who has tracked martech at chiefmartec.com since 2008, has named context the industry’s word of the year for 2026. He defines it as “the instructions, curated data, and permissioned tools that we feed to an AI agent.” In a marketing department, that usually means brand rules (which claims, offers and words are approved and which are banned), customer facts (who a person is, what they bought and what they agreed to receive) and approval rights (who signs off on which work, and on what timeline).
Customer facts tend to live in databases. Brand rules and approval rights more often sit in PDFs, old email threads and the heads of long-tenured staff. That worked when every campaign moved through those people; it breaks when a single marketer can brief an agent and launch a full campaign before lunch.
An outdated offer at 40,000 inboxes
Imagine a marketer who briefs an AI agent on Monday, gets a five-email nurture sequence, two landing pages and paid social ads by lunch, and launches on Wednesday. The problem surfaces on Friday: the third email promises a 60-day money-back guarantee the brand retired last spring. The updated knowledge was stuck in a legal reviewer’s inbox and in the memory of two people who attended a meeting two quarters ago. The agent never saw it, and nobody was assigned to check before launch.
This is the new risk. The slow manual production of campaigns used to act as a brake, giving experienced people time to catch off-brand work. AI has removed that brake, but the review process has not caught up.
Review is the new bottleneck
Bynder’s State of Digital Asset Management 2026 report found that AI has changed content operations for 97% of respondents, and 42% say AI plays a role in creating or processing content. Pantheon’s State of the Web 2026 report shows 79% of surveyed marketing leaders say manually checking AI output is an obstacle to using AI more widely.
Platforms can genuinely help: they can store approved claims in one place, feed them to every agent and flag drafts that break them. But a vendor’s onboarding team cannot decide which claims are true, which audiences are off-limits or which offers ended last quarter. If you buy first, you will pay to store whatever is lying around—including your 2022 brand book and a spreadsheet of claims nobody reviewed.
Do this before you sign
Sort AI-generated work by what it costs when it goes wrong, and assign a person to each level:
- Low-risk work: social copy variations created only from approved claims, with a weekly spot check by your content lead.
- Medium-risk work: a new email sequence or landing page, needing sign-off from a specific approver within a business day.
- High-risk work: pricing, guarantees, regulated claims or a new audience, needing brand and legal approval before launch.
Before you sign a contract for any product with context, list the claims you have approved, the audiences you will not target, and the name of the person who approves each level of AI-generated output. If your team cannot provide that information in a week, you have found the work no platform will do for you. Do that work first.
A late campaign can cost you a week. A dead guarantee sent to 40,000 inboxes can cost far more.
Source: MarTech
