Marketing

Mining voice-of-customer data and building a marketing knowledge base

Use AI to analyze customer calls, sales calls, reviews, surveys, emails, website copy, competitor feedback, and other existing company materials at scale—extracting recurring themes, verbatim language, objections, proof points, and strategic gaps—to build a reusable customer research document / marketing knowledge base that becomes a source of truth for messaging, content, ad angles, and campaign planning.

Why the human is still essential here

Humans decide which sources and insights matter, add relationship and market context, validate claims, and turn the raw patterns into truthful, on-brand messaging, research docs, and campaign direction.

How people use this

Review insight synthesis

AI summarizes customer reviews and support comments into recurring pains, desired outcomes, objections, and voice-of-customer phrases for a central research doc.

ChatGPT / Claude

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

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Related Prompts (4)

Latest community stories (10)

Personal Story
LinkedIn

AI won't replace marketers. But marketers who use AI will replace those who don't.

AI won't replace marketers.

But marketers who use AI will replace those who don't.


That's the reality in 2026.


The biggest misconception is that AI creates great marketing.


It doesn't.


AI can write a caption.

It can generate an image.

It can suggest headlines.


But AI still doesn't understand your customer the way you do.


The best marketers don't use AI to think for them.


They use AI to think faster.


Here's how I use AI in my workflow:


✅ Research customer pain points in minutes

✅ Generate multiple ad copy variations

✅ Brainstorm content ideas when I'm stuck

✅ Improve landing page copy

✅ Analyze competitors faster

✅ Repurpose one piece of content into multiple formats


The strategy is still human.


AI simply removes repetitive work.


The companies winning today aren't replacing people with AI.


They're helping people become 10x more productive with AI.


The question is no longer:


"Should I use AI?"


The real question is:


How much time am I wasting by not using it?


What's one AI tool that's become part of your daily workflow?

AR
Aman RajputFounder at Bytes and Brand
Jul 19, 2026
How-To
Reddit

I run a marketing & dev studio. Here's the exact way I use AI to research a client's competitors and write a positioning one-pager in about 30 minutes.

Most people use AI for marketing by typing "write me 5 posts for a moving company" and getting back generic slop. The tool isn't the problem. The problem is skipping the part that makes marketing good: research and strategy before any writing. Here's a real task from this week, start to finish. I co-run a small studio that does web and marketing work for clients, and one of our clients is a packers-and-movers business. I needed a one-page positioning summary: who the local competitors are, how they talk, what customers actually complain about, and where the gap is that we can own.

I use Claude for this, but honestly any of the big ones (ChatGPT, Gemini, Claude) will get you to almost the same place. Use whatever you already have. The process is what matters, not the logo.


Step 1 - Give it the real context first. I told it what the business is, the city it operates in, who the customers are, and what I already know about the competition. Two minutes of context beats an hour of fixing generic output.


Step 2 - Make it research before it writes. This is the step everyone skips. Roughly: "Before writing anything, research this. Look at how the main packers-and-movers companies in [city] talk about their service, and find what real customers complain about in this space - reviews, forums, discussions. Give me the actual words and phrases people use, not a vague summary, and tell me where each came from." The AI can pull from the live web now, so it comes back with the real language people use: "they broke my TV," "hidden charges at the end," "showed up 3 hours late." That language is gold, because now I write in the customer's words instead of industry jargon.


Step 3 - Make it think before it writes. "Based on that research, give me 3 positioning angles for our client. For each, tell me who it's for, what fear it removes, and why you chose it. Don't write the one-pager yet - show me your reasoning first." I edit the strategy here, which is far cheaper than editing a finished doc.


Step 4 - Then write, in my voice. I paste a sample of how I write summaries and say "match this tone." Then it drafts the one-pager. Total time: about 30 minutes for something that used to take me half a day.


Two honest caveats: Fact-check the research. It's usually right but it can be confidently wrong, and this is going to a client. Verify before it leaves your hands. It doesn't replace judgment. It's a fast researcher and drafter. The taste is still yours.


Research first, strategy second, writing last. That order is the whole trick. Happy to share the exact prompts if anyone wants them.

V
vinay-jain-18Co-runs a small web and marketing studio
Jul 21, 2026
How-To
X

I don't know why more ecom founders aren't using AI to write their ad copy, landing pages, and email flows.

I don't know why more ecom founders aren't using AI to write their ad copy, landing pages, and email flows. Here's the exact workflow I use to build creatives across all my businesses:

1. Download all your customer reviews, your website, your competitors' reviews, and your top-performing advertorials. Everything goes into one place. The more raw input you give it, the better the output gets on the other side. Codex and Claude Code can build a trust pilot scraper within one prompt.


2. Run deep research with a proper prompt (e.g., “create me everything I need to know about my customer to do future marketing”). Remember that your prompts probably need to be twice as long as you think in this day and age.


3. You now have a customer doc - this is your source of truth for all future copy, so treat it like one and keep coming back to it.


4. Take that customer doc and give it the structure of the advertorial you want to write with a proper prompt, including a proper mechanism and solution mechanism.


5. Don't give it one massive prompt. My YT script prompting cycle is 14 prompts long because AI doesn't handle large blobs of data well. Give it 12 angles first, select the best ones, then prompt it with questions about what you already know about your customer, feed the answers back, and build from there.


6. Loop the results back in. The top creative in your ad account is the new input, and that performance data goes straight into the next round of prompts.


The problem with ecom used to be time. Finding products took weeks, building stores took weeks, shooting content took weeks.


But AI broke that barrier. You can now build 10 advertorials in a day, and that volume negates luck.


TLDR: Use more AI.

DF
Davie FogartyEcommerce entrepreneur and Shark Tank judge
May 21, 2026
How-To
Blog

How I Work With AI as a Performance Marketer (And How to Work With Me)

A public operating system for how I work — Metrics, Analysis, Action. How I use AI, how to work with me, and how you can write your own portable context so you can move conversations across Claude, ChatGPT, Gemini, and any agent.

DY
Dennis Yudigital marketing expert and co-founder of High-Rise Influence and Local Service Spotlight
Apr 18, 2026
How-To
Blog

How I Use AI Agents to Do My Marketing

I use AI agents live to write articles, publish blog posts, build knowledge bases, and run SEO audits. I share my 4-stage Content Factory, the Task Library, and the magic phrase "according to" that makes AI follow my process.

DY
Dennis YuCEO of Local Service Spotlight
Apr 9, 2026
LinkedIn

I'm building an AI marketing team of one.

I'm building an AI marketing team of one.

Here's the thing about being a one-person marketing & sales team at an open-source software company (JobRunr): you don't have time for everything.


So I asked Patrick for help.


Patrick is my AI executive assistant, built on OpenClaw. And this week, he built me a LinkedIn Ads review system. From scratch.


Let me walk you through how we got here.


Step 1: We did the research first.


Before writing a single ad, we analyzed our actual data. Not vibes. Data.


We pulled company visitor data from Scarf and cross-referenced it with HubSpot. IP matching, domain lookups. That gave us a ranked list of which industries and companies are actually visiting our Pro and Pricing pages.


Finance. Insurance. Government. Not what I would have guessed.


We built company lists from that intelligence and matched them to LinkedIn audiences.


Step 2: We built a messaging framework.


Patrick analyzed all our existing customer data. Hubspot data, email conversations, intake questionnaires, support questions, ads,... Then we used that data to fill in a creative strategy map and come up with 3 angles per target-audience.



Step 3: The visuals.


I showed Patrick our existing ad visuals. He reverse-engineered the visual language and wrote image generation prompts matching our brand. Generated with Gemini. I could approve, reject, download, tweak in Photoshop, re-upload. All from a review tool he built.


Step 4: The review tool.


Patrick built a web app where I review everything:

→ Ad copy with live LinkedIn preview

→ Image variants (approve, download, replace, regenerate)

→ Comments and feedback

→ One-click approve to push live


No SaaS subscription. Just me and my agent.


The proof? One ad Patrick created by analyzing my best performers and generating a variant is now my highest CTR ad at 2.65%. AI-generated. Outperforming all my manual ones.


The difference between "write me an ad" and this? Real context. Your CRM data. Your analytics. Your brand. Your actual performance numbers.


And most importantly: Your taste. You are the creative director who shows the way.


Full stack: OpenClaw, LinkedIn Marketing API, HubSpot, Scarf, Gemini, and a custom review tool. Fully built using Telegram conversations.


Happy to share more details. Or just roast my AI visuals. Either works.

ND
Nicholas D'hondtHead Of Growth at JobRunr
Mar 10, 2026
Medium

I Used Claude.ai for Every Marketing Task for 30 Days. These 14 Prompts Changed Everything.

My CMO gave me three weeks to fix a campaign that had a 0.8% click-through rate.

I didn’t hire a consultant. I didn’t run another A/B test. I opened Claude.ai and treated it like the most senior marketing strategist I’d ever worked with.


The campaign hit 4.3% CTR. We added 2,100 leads in 18 days.


This is not a “AI is amazing, go use it” article. This is the actual playbook — the prompts, the frameworks, the mistakes, and the surprising moments when Claude did things no human marketer had thought to suggest.

GE
Gerhard EngelMarketing strategist
Mar 14, 2026
Reddit

How I use AI to write a month of marketing content in one afternoon

Been experimenting with AI for marketing over the past year and the biggest shift for me was stopping the one-prompt-one-output approach. Most people open ChatGPT, type something, get something mediocre, and conclude AI is overhyped for marketing. The real unlock is chaining prompts together — using the output of one as the input for the next.

Quick example: I start by having AI interview me about my customer's frustrations (not their demographics, their actual language). Then I use that output to write the ad. Then I run the ad copy through a "devil's advocate" prompt that pokes holes in it before I publish.


The result is copy that sounds like a customer wrote it, not a robot.


I have been doing digital marketing for 12 years and only in the last 18 months has AI genuinely changed how I work at a strategy level, not just a speed level. I am running a live online workshop on March 22 for anyone who wants to see the full workflow in real time.


It is ₹199 and covers four areas: copywriting, competitive research, customer intelligence, and building a repeatable AI system. Recording included. Happy to answer any AI marketing questions in the comments regardless. Let me know if you are interested.

AB
Akshay BadkarDigital marketer
Mar 8, 2026
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