Marketing

Mining voice-of-customer data for marketing content and messaging

Use AI to analyze customer calls, reviews, surveys, and behavioral data at scale — extracting recurring themes, verbatim language, and pain points to generate content ideas, ad angles, messaging matrices, and customer story assets.

Why the human is still essential here

Humans choose which insights are accurate and on-brand, add relationship context, validate that claims are truthful and compliant, and turn raw outputs into authentic final content. AI assists with organization, tagging, pattern detection, and first-draft generation.

How people use this

Transcript-to-content calendar

AI summarizes a week of call transcripts into themes and generates a prioritized 30-day content calendar aligned to recurring objections and questions.

Gong / ChatGPT

VOC phrase extraction for ad copy

Run transcripts through AI to extract verbatim phrases customers use to describe pain, urgency, and desired outcomes for use in ad primary text.

Gong / Claude

ICP messaging matrix from calls

Compile pain points, triggers, and value props into a structured messaging matrix by persona and segment to guide campaign creation and testing.

Airtable / ChatGPT

Complaint-to-hook swipe file

Feed complaint snippets into AI to generate a categorized swipe file of hooks (problem agitation, contrast, contrarian) using customer wording.

ChatGPT / Jasper

Voice-of-customer quote headlines

AI pulls verbatim customer quotes and rewrites them into punchy, compliant headlines while keeping the original sentiment intact.

Gong / Copy.ai

AI-searchable story repository

Store anonymized call stories in a shared workspace and use AI search to retrieve relevant examples when writing posts, ads, or case studies.

Notion AI

Case-study outline generator

AI turns a selected call story into a structured case-study outline (problem, constraints, solution, results, proof) for human refinement and approvals.

ChatGPT / Google Docs

Review mining for pain points and language

AI clusters themes and extracts quotable phrases from G2/Capterra reviews to inform benefit statements and proof points.

ChatGPT / Claude

Open-ended survey response clustering

AI groups free-text survey responses into themes and sentiment to prioritize messaging angles and supporting evidence.

Qualtrics Text iQ / Dovetail

Community stories (3)

LinkedIn

Two years ago, I used AI to write a caption.

Two years ago, I used AI to write a caption.

Today, I use it to understand what my audience wants before they even tell me.


That shift happened faster than I expected.


AI in marketing isn't really about robots anymore.

It's about something much quieter and more powerful.


It's about knowing which email subject line will actually get opened.

Which ad will make someone stop scrolling.

Which customer is about to leave even before they do.


68% of marketers say AI is most useful for automating routine tasks.

That's true. But I think we're underselling it.


The real unlock isn't speed.

It's relevance.


When a brand speaks to you like it actually knows you,

that's not magic.

That's machine learning working in the background.


But here's what I keep coming back to:


AI can optimize a message.

It can't originate one.


It can tell you when to post.

It can't tell you why you care about what you're posting.


The marketers who will win aren't the ones who fear AI.

They're the ones who stay deeply human while using it well.


Use the tools.

Learn them properly.

But don't outsource your judgment to an algorithm.


Because AI can make you faster.

Only you can make your work matter.


P.S. If you're a marketer still on the fence about AI then you're not behind yet. But the window is closing.

AS
Ameer ShajeerFounder @ Expandable
Mar 2, 2026
LinkedIn

My mom asked me how I use AI at work.

My mom asked me how I use AI at work.

“For everything” wasn’t a very helpful answer. 😅


So I typed up these steps I often go through (this specific list was for creating web pages, but the process is often similar for other deliverables).


Nobody asked except my mom 😉, but here is my process:



WRITING WEB COPY WITH AI


1. Start with my brain: no AI yet

Dig up existing documents on the topic I need to write about, jot down notes that come to mind, review competitor pages, roughly map page structure...


2. Generate a first draft with AI

- Have AI make a “web page copy brief” based on my notes/outline, plus our Domo product positioning doc

- Using that brief, generate a first draft of the page via a Web Copywriter Agent I made

- Go back & forth with the agent to iterate on messaging


3. Switch into research mode with AI

To confirm I’m on the right track, switch gears and use:

- Gemini’s Deep Research Agent for additional market & competitive context

- My own Voice-of-Customer Agent trained on real customer comments


4. Go back and critique the draft with AI

Feed those findings back into the Copy Agent. Ask it to critique the draft against things like market direction, analyst framing, and customer language. Make adjustments accordingly.


5. Critique the draft with humans

Align with PMs and other stakeholders, and refine again.



I find the best outputs come when I alternate between using AI for creation and critique.


I like breaking the project up into several steps, wiping the context between chats, and using my *very own human brain* heavily throughout the process.


It takes more time, but I think it’s worth it. :)



Any other favorite AI tricks I should add to the list? (It’s for my mom, I promise !!)

EB
Ellie BeanProduct Marketing Manager @ Domo
Mar 3, 2026
LinkedIn

After 1,000 hours of AI marketing workflows.

After 1,000 hours of AI marketing workflows.

This is what I wish I knew from day one.


The robots are here to stay.


And if they don't kill us in our sleep.


we better make good use of them.


This is how I use AI for marketing.


(I'm 51. If I can do it, you can too.)


1. Record every call → Your customers are writing your content. Every objection, every pain point.


2. Store transcripts in one place → Scattered notes are useless. One folder, every conversation. That's your content goldmine.


3. Extract content ideas → Run your transcripts through AI. Ten post ideas in five minutes.


4. Pull ICP pain points for your ads → Cold traffic responds to their own language. Your calls already have it. Your campaigns should too.


5. Find your hooks in their complaints → The thing your clients hate most? That's your best headline.


6. Build a story bank → Every call adds one story. In six months, you never run out of content again.


If you can't beat the robots, join them.


PS: What's your AI automation story?

VB
Virgil Brewster$10M Founder | Old-school performance marketing powered by AI workflows | Co-Founder Sucana
Feb 27, 2026