Marketing

AI-assisted strategy research and ad copy iteration

AI is used as a thinking and writing partner for client strategy memos, ad copy iterations, market research, and analyzing large datasets to produce sharper marketing insights.

Why the human is still essential here

The marketer remains responsible for interpreting insights, shaping strategy, and deciding what recommendations and messaging best serve the client.

How people use this

Strategy memo first drafts

AI turns campaign notes, client goals, and performance context into a structured strategy memo that the marketer can refine before sharing recommendations.

Claude / ChatGPT

Competitor and audience research synthesis

AI summarizes market, audience, and competitor findings into clear themes, risks, and opportunity angles for research-heavy planning work.

Perplexity / Claude

Ad copy variant iteration

AI generates and rewrites multiple paid ad headline and body copy options for different offers, audiences, and testing hypotheses.

ChatGPT / Jasper

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Latest community stories (1)

Tool Recommendation

Here is my AI marketing stack, what each tool does, and how it helps me and my clients.

Here is my AI marketing stack, what each tool does, and how it helps me and my clients.

1. Thinking & writing: Claude
A partner for collaborating, ideas, notes, and research. I use it for client strategy memos, ad copy iterations, analyzing big data, and market research.

Claude doesn't help me work faster. It helps me get deeper insights, sharper analysis, and a real second pair of eyes, which means more value for my clients.

2. Note taking: Granola
Replaces the tasks of listening, thinking, and writing at the same time. I can be present in online meetings and know I'll have solid notes at the end.

3. Landing page creation: Lovable + Flint
I create landing pages, lead magnets, and microsites in an hour, and changes/updates in minutes. This is especially useful for specific ad campaigns when a client doesn't have a strong webpage that matches the campaign.

• Lovable: easy and affordable, but not GEO-friendly
• Flint: built for marketers. More sophisticated than lovable, great at recreating brand look/feel in an AI-landing page format, can produce dozens of unique pages per ad/keyword/audience, and recommends the right page types for your business.

Two patterns I've noticed:
Claude and Granola don't speed up my work, they make it better. Sharper analysis, smarter ideas, deeper knowledge of my clients' industries.

Lovable and Flint do the opposite: they speed things up. I stay in full control of look, feel, and messaging without the back-and-forth with a dev team.

Quality and speed. Both matter.

What AI tools are in your stack?

Lauren DowneyPaid Media Strategist

Apr 28, 2026