AI has made marketing work faster to produce. It hasn’t changed who is responsible when that work is wrong.
AI is useful. That isn’t the question.
My team uses AI every day for research, drafting, analysis and repetitive tasks. It saves real time. We also catch its mistakes. Both of those things are true, and neither one is unusual.
Google’s guidance on generative AI says these tools can be particularly useful for researching a topic and adding structure to original content. The same guidance warns that using them to generate many pages without adding value can violate its spam policies. It also explains that generative models predict likely sequences of words rather than retrieving facts, so their output can contain inaccuracies. Google calls manual fact-checking before publishing critical, and that includes titles, meta descriptions, structured data and image alt text, not just the visible copy.
So the useful question isn’t “Do you use AI?” It’s “Who checks what it produces, and what do they check?”
The risk is the mistake nobody recognizes.
A tool making an error is not the real problem. Every tool does. The problem is an operator who doesn’t recognize the error, publishes it and then reuses it.
Consider a heating and cooling company. An AI draft of its service page could easily:
- list towns the company doesn’t serve,
- promise 24/7 emergency service the company doesn’t offer,
- name equipment brands it doesn’t install, or
- mention certifications nobody on staff holds.
Every one of those sentences would read smoothly. Every one could cause a real problem, from a homeowner calling at 2 a.m. from outside the service area to a promise the office has to walk back. Someone who knows the business catches those errors in minutes. Someone who doesn’t know the business won’t catch them at all.
Hypothetical example, not a client case.
Some mistakes travel farther than others.
A content error usually stays on the page where it was made. A technical error can spread.
Here is a hypothetical case. A noindex rule tells Google to drop a page from its search results once Googlebot crawls the page and sees the rule. Used on purpose on a single page, that is a normal tool. Applied by mistake to a reusable page template, it could reach every page built from that template, such as every service page on the site. In a review that only reads a summary of the change, it might look like one harmless line of code.
That is why accountable review means checking the live result, not only the instruction that was given.
What accountable review involves.
The standard I hold us to is simple to describe and takes real time to do:
- Use AI where it helps: research, first drafts, analysis and repetitive tasks.
- Have an experienced person check every important recommendation against the business’s actual facts, including services, service area, hours, credentials, prices and promises.
- Check the implementation on the live site, not only in the draft.
- Record material changes so anyone can see what changed and when.
- For changes with meaningful risk, know how to restore the previous version before making the change.
A blank checklist doesn’t prove any of that happened. The proof is the reviewed draft, the correction that was made and the record of what was checked.
The same rule applies when you use AI yourself.
Many owners now use ChatGPT for their own follow-up emails, offers and website copy. That can work well, as long as the owner stays the reviewer.
Here is a demonstration from our AI Business Brain worked example. A customer asks whether a $295 cleaning estimate includes the inside of the oven and refrigerator. ChatGPT is told to write the right follow-up without changing the price or adding anything. A useful reply explains what the quote covers, says the interiors are separate and offers to quote them as extras. A careless reply might invent a discount or assume a booking. The person sending it has to know the difference.
Fictional educational example, not a client case or measured result.
Give AI the facts it needs, tell it what it must not change and read the result as if your name is on it. It is.
Three questions to ask whoever uses AI on your behalf.
- Who checks the AI-assisted work before it goes live?
- What exactly do they check: the facts, the technical settings, the live page or all three?
- When something is wrong, who notices it, and who fixes it?
Efficient tools are worth using. Make sure you are also paying for the judgment that checks them.