Role · Marketing
Generative AI made content cheap to produce and expensive to check. A marketing team now spends its time on review: is the claim true, is it on brand, did the campaign work. AI agents can do much of that checking and the reporting around it. Infosistema connects them to your content, CRM and analytics systems, with the product facts and brand rules your company already owns.
The checking, assembling and reporting around the creative work. These 5 are where we start.
The agent drafts or reviews posts, pages and emails against your messaging guidelines, checks every product claim (features, certifications, prices) against a facts file the product teams maintain, and blocks anything that contradicts it.
The agent pulls results from ads, email, web analytics and the CRM every week, writes the commentary on what changed and why, and flags campaigns that are under target.
The agent builds and refreshes account lists from official company data (status, activity code, size, annual accounts), matches them to your CRM and removes companies that closed or changed.
The agent adapts content to each language and market with your glossary and product names fixed, and marks the passages that need a native reviewer.
The agent keeps the structured layer of your site current: page summaries, FAQ and service markup, llms.txt, and checks that what assistants say about your company matches your facts.
Claims, consent and the brand, in that order: a false claim is a legal problem before it's a marketing one.
With a three-week analysis sprint on one marketing area, for example content production or reporting.
Quick wins, such as the weekly report, can start in supervised mode from week 2.
We don't have a published client case in marketing yet, so here is our own. Infosistema's marketing content for its products is drafted and reviewed with AI agents. Before anything is published, each product claim is checked automatically against a facts file that the product team owns, and copy is checked against a list of banned phrases. A person edits and approves every piece, and this page went through the same 2 checks before it was published.
They can draft and check it. A person should own the idea, the final edit and the decision to publish, and every product claim should be checked against a source your product teams own.
Give the agent a source of truth and make it a gate: a facts file per product with capabilities, certifications and prices, maintained by the product team, and an automatic check that blocks content contradicting it.
Under the EU AI Act, realistic AI-generated images, audio and video must be disclosed, and so must AI-generated text published to inform the public unless a person has reviewed it and takes editorial responsibility. LinkedIn, Meta and Google also have their own labelling rules for each format.
Keep the copy in server-rendered HTML, answer real questions in plain sentences, add FAQ and service markup, publish an llms.txt, and keep every claim consistent with your facts. An agent can maintain that layer and check what assistants say about you.
Read access to the content, CRM and analytics tools in scope, and a named owner for brand rules and product facts. The analysis sprint confirms the rest in week 1.
Tell us which process you'd like to look at first, and we'll reply within 1 business day.
