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We want to hear from marketers, web managers, developers, designers, and agencies who have built workflows where AI checks their site for things like:
Brand consistency (tone, messaging, visual guidelines)
Findability (SEO, metadata, visibility in AI search and answer engines)
Accessibility (WCAG compliance, alt text, contrast, navigation)
Freshness (outdated content, broken links, stale pages)
We'd love to hear about:
What does your workflow look like?
What problem made you set it up, and what did you do before?
How do the AI findings get to the right person, and how do they get fixed?
Do you still rely on human judgment in some parts?
What results have you seen? (Time saved, issues caught, traffic or compliance gains—anything else?)
Deadline: Sep 28th, 2026 11:59 PM (May close early)
This deadline has passed, and new answer submissions are no longer being accepted.
Publisher:
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Marker
This deadline has passed
New answer submissions are no longer being accepted for this question.
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Economist ZoneWhen teams start using AI to speed up writing, analysis, or customer replies, how do you set guardrails that raise speed without risking errors or trust? What is one guideline or review step you put in place that kept AI helpful while avoiding public mistakes?
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Talent PlaceHow has AI changed the way you build and hire for your marketing team?
I'm collecting insights from marketing leaders on how AI is reshaping team structure, hiring priorities and the skills marketers need today. I'm especially interested in concrete, first-hand examples rather than general predictions.
Please answer 2–3 of the following:
1. How has your approach to building a marketing team changed since AI tools became part of daily work? (e.g. team size, roles you've added, merged or stopped hiring for)
2. Which skills have become more important in your team, and which have lost value?
3. What do you look for now when hiring marketers that you didn't prioritize 2–3 years ago?
4. How do you upskill your existing team for working with AI? What has worked and what hasn't?
5. What's one mistake you've seen companies make when restructuring marketing teams around AI?
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The Epoch TimesGood afternoon. I'm looking for relevant professionals to share insights for a story examining how AI "slop" grenades (i.e., long-form, unedited, and purely AI-generated content) are affecting their workplace and productivity. Anecdotes are most welcome. My main questions are outlined below.
1. Have you received AI-generated work from a colleague, employee, contractor, or client that ultimately created more work for you? What was wrong with it, and how much time did it take to verify, correct, or rewrite?
2. Are you seeing workers treat AI-generated material as a finished product rather than a first draft or tool? If so, what kinds of downstream problems are being created for coworkers?
3. In your experience, what types of errors, unsupported assertions, or other quality problems are most likely to slip through when someone pushes forward purely AI-generated content?
4. Do you believe this heavy reliance on AI to create volume over quality can reduce workplace productivity? What does that hidden workload look like in your company and/or industry?
5. In your opinion, what does responsible, productive use of generative AI at work look like?
Thank you for your time and consideration of this important emerging topic.