AI for marketers: research, drafts and reporting without the generic output

Marketing has a lot of first drafts, and AI is a fast first-draft machine. It also has a lot of reporting and research, which AI can speed up. The catch is that everyone has the same tools, so the output of a lazy prompt is the same as everyone else’s. The advantage comes from what you feed in and the process around it.

Where AI helps marketers

Research. Competitor positioning, customer language in reviews, market context and background for a campaign can be gathered quickly. Perplexity and Claude can produce a sourced brief; the quality depends on you opening the cited sources. For how a search-with-citations tool differs from classic search, see Perplexity vs Google.

Briefs and outlines. A content brief that would take an hour to assemble can be drafted from a keyword, audience, and your notes, then corrected by you. This improves consistency across writers.

Drafts and variations. Subject lines, ad variants, landing page sections and social posts are easier to edit than to write. Give the assistant three examples of copy that sounds like your brand and it will get much closer. The mechanics are in how to write better AI prompts, and the term is explained in the prompt glossary entry.

Repurposing. One webinar transcript can become an article, an email and a set of posts. Have it preserve your key claims and quotes exactly.

Reporting. Exports from ad platforms, email tools and analytics can be combined into a weekly narrative: what moved, what probably caused it, what to test next. See how to automate weekly reports with AI.

Where AI does not help

• Original insight. It reflects what already exists. Your customer conversations and product knowledge are the differentiator.
• Statistics and claims. It will produce plausible numbers and quotes that are not real. This is a hallucination. Never publish a stat without a source you opened.
• Brand voice by default. Without examples, you get a bland average.
• Attribution and causality. It can describe correlations in your data. It cannot tell you why something happened.

Risks specific to marketing

Accuracy in public claims. Advertising claims, testimonials, comparisons to competitors and health, finance or legal claims can create liability or platform violations. Every factual claim needs a source and a human approver.

Confidential information. Unreleased product details, customer lists and campaign budgets should not go into tools whose data terms you have not checked. See is it safe to put company data in ChatGPT.

Copyright and originality. Do not ask it to imitate a named writer’s work, and run your normal originality checks. Rules on disclosure of AI-generated content vary by platform and channel, so check the ones you publish on.

Customer data. Uploading customer email lists or personal data into a general AI tool can breach your privacy policy and applicable law. Use aggregated or anonymized data for analysis.

Starter prompts

Brand voice draft:

Here are three examples of our writing (below). Describe our voice
in five rules. Then write a 100-word email announcing [topic] that
follows those rules. Use only the facts I provide; do not invent
statistics, quotes or customer names.

Examples: [paste]
Facts: [paste]

Weekly report:

This is last week's and the week before's performance data.
Write a summary with: what changed (with the numbers and the
percentage change, showing the calculation), three possible
explanations to investigate, and two tests to run next. Mark
each explanation as a hypothesis.

Your first week

• Day 1: Collect three pieces of your best writing and write down your voice rules using the prompt above.
• Day 2: Draft a brief for the next piece of content and compare it to your usual.
• Day 3: Repurpose one existing article into an email and three posts. Edit hard.
• Day 4: Pull last week’s data into the report prompt. Check every number.
• Day 5: Set a rule: no statistic or quote is published without a source someone opened.

A worked example: one webinar, five assets

You run a 45-minute webinar and get a transcript. Ask the assistant to extract the five strongest points with the exact quotes and timestamps, then draft a 600-word article, a follow-up email, four social posts and three subject line options, all in your voice rules from the earlier exercise. Tell it not to add claims that are not in the transcript.

You then edit: cut the filler, restore the specifics, and check every quote against the recording. The gain is that you begin with five drafts made from your speaker’s actual words rather than a blank page.

Common mistakes to avoid

• Publishing statistics you did not check. Open the source, or delete the number.
• Asking for “a blog post about X” with no source material. You will get the average of the internet.
• Feeding customer lists into a general tool.
• Reporting on data you have not spot-checked. Compare two numbers to the platform before trusting the summary.

What the sources say

Labor data for market research analysts and the Federal Trade Commission rule on fake reviews that applies to AI-written marketing.

• The Bureau of Labor Statistics projects employment of market research analysts to grow 7 percent from 2025 to 2035, much faster than the average for all occupations.
• The Bureau of Labor Statistics lists monitoring and forecasting marketing and sales trends as the first typical duty of market research analysts.
• The Federal Trade Commission states that reviews generated by AI are covered by its final rule on consumer reviews and testimonials.
• The Federal Trade Commission rule on consumer reviews and testimonials is effective October 21, 2024.
• The Federal Trade Commission says the rule will enable it to seek civil penalties against violators.

When you want to build it, not just try it

Learn AI Fast is a two-day in-person class in Boston for non-developers, with a research-and-verification session on a provided scenario and a lab on spreadsheet reports.

Sources

• U.S. Bureau of Labor Statistics, Occupational Outlook Handbook: Market Research Analysts: “projected to grow 7 percent from 2025 to 2035, much faster than the average for all occupations”
• U.S. Bureau of Labor Statistics, Occupational Outlook Handbook: Market Research Analysts: “Monitor and forecast marketing and sales trends”
• Federal Register, Trade Regulation Rule on the Use of Consumer Reviews and Testimonials (Federal Trade Commission, August 22, 2024): “AI-generated reviews are covered by the final rule”
• Federal Register, Trade Regulation Rule on the Use of Consumer Reviews and Testimonials (Federal Trade Commission, August 22, 2024): “This rule is effective October 21, 2024”
• Federal Register, Trade Regulation Rule on the Use of Consumer Reviews and Testimonials (Federal Trade Commission, August 22, 2024): “the rule will enable the Commission to seek civil penalties against violators”