AI writing and analysis tools are now built into email platforms, website builders, ad managers and office software. For a small business, that’s both an opportunity and a trap. Used well, AI saves hours on drafts and analysis. Used carelessly, it produces generic content, factual errors, and in some cases legal exposure. Here’s a practical view, grounded in what Google and the FTC have actually said.
I use AI assistants every day to build software in Python and SQL, so I’ve learned where they help and where a human has to stay in charge. The same lessons apply to marketing.
What AI is genuinely good at
- First drafts: outlines, email drafts, social post variations and FAQ answers that a person then edits.
- Repurposing: turning one solid article into a newsletter section, a few social posts and a short summary.
- Analysis help: summarizing survey comments, categorizing customer questions, or writing spreadsheet formulas and simple scripts to clean up a contact list or report.
- Brainstorming: headline options, offer ideas and objections a customer might raise.
- Automation: routing form submissions, tagging leads and drafting follow-ups that a person approves.
Where it goes wrong
- Confident errors. AI tools can state wrong facts, invent sources or misquote rules. Every factual claim needs checking.
- Sameness. If you and your competitors use the same tools with the same prompts, your content sounds the same. Your real experience, examples and opinions are what make it worth reading.
- Privacy. Pasting customer lists or confidential details into a tool may conflict with your obligations or the tool’s data-use terms.
- Deception. Fake reviews, invented testimonials and exaggerated claims are illegal whether a person or a machine writes them.
What Google has said about AI content
Google’s position is that it rewards helpful, original, people-first content however it’s produced, and that using automation primarily to manipulate rankings violates its spam policies (Google Search’s guidance about AI-generated content). Its spam policies list “scaled content abuse,” including using generative AI to create many pages without adding value for users (Google spam policies). In practice: AI-assisted content is fine; mass-produced filler is a risk. Google’s checklist on Google: creating helpful, reliable, people-first content is a useful self-review.
What the FTC has said
- In September 2024 the FTC announced Operation AI Comply, a set of enforcement actions including one against an AI writing service whose “testimonial and review” feature could generate fake reviews. The FTC stated there is no AI exemption from the laws on the books (FTC announcement of Operation AI Comply (September 2024)).
- The FTC’s rule on consumer reviews and testimonials, effective October 21, 2024, prohibits fake or false reviews and testimonials, including those attributed to people who don’t exist, such as AI-generated reviewers (FTC Consumer Reviews and Testimonials Rule Q&A).
- Endorsements must reflect honest experiences, and material connections must be disclosed (FTC Endorsement Guides: What People Are Asking).
- If AI drafts your marketing emails, the CAN-SPAM rules still apply: accurate headers and subject lines, a valid postal address and a working opt-out honored within 10 business days (FTC CAN-SPAM compliance guide).
None of this is legal advice; if you’re unsure, talk to an attorney. But the direction is clear: AI changes how marketing gets made, not the rules it has to follow.
A practical, human-in-charge workflow
- Start from your knowledge. Write a few bullet points about what you actually do, for whom, and what customers ask. That’s the raw material AI can’t invent.
- Draft with AI. Give the tool your bullets, your audience and your tone, and ask for a draft.
- Edit like an owner. Cut generic phrases, add real examples, and check every fact, number and link against a primary source.
- Protect data. Don’t paste customer personal information or confidential details unless your tool and policies allow it. The NIST AI Risk Management Framework is a solid framework if you want more structure.
- Disclose where it matters. Never present AI-generated people, reviews or testimonials as real.
- Measure. Track leads, calls and form submissions, not just page views, and keep what works.
Where to start this month
- Pick one repetitive task, such as drafting a monthly email or answering common questions, and build a reusable prompt and checklist for it.
- Audit your website for generic, unedited copy and rewrite the pages customers see most.
- Set up basic tracking so you can tell whether changes help.
- Write down a one-page AI policy for your business: approved tools, what data never goes in, and who reviews output before it’s published.
The SBA guide to marketing and sales is a good free primer on marketing fundamentals, and AI doesn’t replace them. It makes the fundamentals faster to execute.
How I can help
I help Boston-area small and mid-size businesses use AI-assisted marketing content and automation with a human in charge, from prompt libraries and review checklists to simple workflow automation and dashboards. See my marketing services or book a free 30-minute call.
Peter Klausz is an MBA (University of Rochester, Simon Business School) and the founder of Statadventure, LLC. Based in Burlington, Massachusetts, he offers marketing services, website design and business plans for Greater Boston businesses, and builds software in Python and SQL with AI-assisted development. Book a free 30-minute call.