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Your content should NOT start with keywords.

Your best insights are already present in your:

sales calls, support tickets, discussions on public forums, product usage tools, social media comments, reviews

That should be the starting point of your content.

This is where Marlow comes in, unifying audience insights across all those surfaces.

Marketers can then use it to create content for each step of the buyer journey.

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Search demand Domain data Sales calls Product usage Product reviews Social chatter
Audience brain

Socials, reviews and more · read across every platform

FacebookInstagramTikTokPinterestLinkedInXBlueskyThreadsRedditHacker NewsTrustpilotCapterraG2FacebookInstagramTikTokPinterestLinkedInXBlueskyThreadsRedditHacker NewsTrustpilotCapterraG2

The Problem

A marketer at a desk buried in printouts, dashboards and social feeds floating around her head
01 · the problem

Your content suffers from a data fragmentation problem (and you’re not alone).

Two people talking, their conversation branching out into LinkedIn, Reddit, Twitter and a calendar
02 · where it lives

Your ICP is talking inside different rooms, and says something different in each one. They evaluated your tool on LinkedIn, Reddit, and Twitter. They had a chat with a sales rep that was recorded on Gong, signed up for a demo, stuck around for a couple of months, and churned out. If a similar prospect comes by, do you have enough information to prevent them from churning too?

A marketer working through a research plan surrounded by reviews, threads and engagement charts, a clock overhead
03 · why it stays broken

Your most valuable audience insights probably live in separate documents and tools today. You can try to connect them using AI, but you still need to tell it what’s useful, map the customer touchpoints across ALL the tools, and what to actually do with it. Even across 5–7 tools, that can become a very time-consuming task.

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Real quotes from marketers struggling with the same problem

FrankHead of Marketing
"Keyword and social listening tools are turning into monster features, dashboards that show you everything and tell you nothing."
PriyaFractional CMO
"I have to identify pains and jobs to be done in the comments of TikTok, manually review competitors from G2, and check the sales conversations. It takes at least 6 months to me to understand what a company does and who is their target."
DanielHead of Content
"We are still figuring out who is our ICP, then we end up doing what my CEO decides to do in hurry"
RosaFreelance Content Writer
"My clients can’t articulate who is their ICP, and I have to do guess work with the content"

Internal tools to connect

HubSpotFathomFathomGranolaGranolaNotionDovetailSalesforceHotjarGoogle AnalyticsMixpanelHubSpotFathomFathomGranolaGranolaNotionDovetailSalesforceHotjarGoogle AnalyticsMixpanel

Where does Marlow sit in the audience insights space?

Marlow sits in between three categories Keyword tools cover what people search. Social listening tools cover where people talk. Strategy consultants and marketing intelligence teams cover why people search and decide. Marlow sits in the overlap of all three. What people search surface demand Where people talk social and community signal Why people search and take decision inside a product or its competition? Keyword Tools Keywords volume Keyword ranking, difficulty, seasonality Keyword clusters Social Listening Tools Channel breakdown Sentiment Analysis Brand tracking Strategy consultants Marketing Intelligence Teams Deep market and internal analysis ICP and Buyer persona creation with qualitative & quantitative data Dashboards and customised reports MARLOW your audience brain

our solution

01 · module

pain language fit

Affinity score: what customers say, against what you say about it Each cell is an affinity score — how close what you say on that channel comes to what customers actually said. A customer saying nobody told them setup would take three weeks scores strongly against your web pages and weakly on organic social, and not at all in your ads. One who reached the demo still not knowing the price scores in your ads but barely on the site. One who chased support for a week and heard nothing scores nowhere. what customers say what you say WEB PAGES ADS SOCIALS (ORGANIC) A · “Nobody told us setupwould take three weeks” from reviews B · “We got to the demostill not knowing the price” from sales calls C · “I chased support fora week and heard nothing” from social threads affinity score · filled = close · dotted = nothing close

What does it mean?

How closely your words match the words your customers use for their problems. Marlow clusters what they actually said in reviews, threads and calls into pains, then scores every pain against your web pages, your ads and your organic social.

02 · module

audience gap

Topics your audience raises versus topics your competitors' audiences raise Integrations and security are yours; onboarding speed and support SLA are raised about competitors and not covered by you. your domain competitors integrations security pricing onboarding speed support SLA hatched = they raise it, you don't cover it

What does it mean?

Two populations, read exactly the same way: what people say about you in reviews, threads and comments, and what people say about each competitor. Then the difference between them.

03 · module

Dynamic ICP

Sources resolve into attributes, which resolve into ICPs Reviews, sales calls, Reddit and tickets produce jobs, pains and language, which resolve into two segments. data source attributes ICPs Reviews Sales calls Reddit Support tickets Jobs to be done Pains Language Ops lead Agency owner re-read on a schedule; the segments move when the evidence does

What does it mean?

Data agents re-read the sources on a schedule and update the model when the evidence moves: segments, jobs, pains, and the words each group uses. It is built from what people wrote, never from a workshop.

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The Product

We evaluate together Marlow, module by module.

A full walkthrough

Do you want to see on your domain?

We run Marlow on your domain and your competitors, and create highly relevant briefs your content writers can use.

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"Can't we just do this ourselves with AI?"

You can, once. A scraper and a chat window will get you one report. Here is what happens after that.

On your own with an LLM With Marlow

01Time

You set all of it up yourself. The sources, the scraping, the cleaning, the prompts.

It is already set up. One click, or a couple of them, and the work is done.

02Method

Token based and probabilistic. Ask the same question twice and you can get two different answers.

A deterministic filter for pain, topic classification and clustering, with customer attributes plumbed by data type. The same input always returns the same answer.

03What to ask

You have to know the question before you get anything back.

A guided, multi-modal discovery process that asks the question with you.

The people behind Marlow.

Giuseppe Milo
Giuseppe Milo

Founder & CPO

I've been a product manager for over 10 years. The projects that failed didn't fail on the roadmap. They failed because we never deeply understood who we were building for.

Audience segmentation and personas were the worst of it: built either from the one person who happens to know the customers best, or from a heavy, weeks-long lift across a dozen tools. One walks out the door; the other's too slow to keep alive.

Product-market fit runs through language first. Before you build anything, you have to be able to say the problem the way your customers already say it. A product manager and a content marketer are doing that same job, one in features and one in words.

Amit Phaujdar, co-founder of Marlow
Amit Phaujdar

Co-founder & CMO

It's frustrating to create content by guessing what the audience wants. It gets even more frustrating because our customers have already told us what they need.

The problem? That information lives in 20 different tools. Across teams.

So, Marlow emerged as the source of truth for audience insights.

I've worked as a content marketer in freelance and in-house gigs over the last 5 years. I have felt this problem pricking me, which is why I wanted to build a solution so others don't.

The questions people actually ask.

See Marlow on your market.

A real audit of your domain and your competitors, evidence-backed and in minutes. Book a walkthrough and we'll run it on your market.

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