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The research engine for Amazon agencies

Turn Brand Data Into Creative-Ready Customer Insights

Turn onboarding inputs, reviews, competitors, keywords, and shopper signals into a structured research report your team can use for strategy, copy, and visuals.

One Brief, Every Deliverable

Powers your A+, listings, storefronts, and pages.

Fully White-Labeled

Your logo, your dashboard, your brand.

Research in Minutes, Not Hours

Skip the manual work. Keep the depth.

Form In, Research Out

Send the form, the research generates itself.

The Research Gap

What You Currently Call Research Is the Exact Reason Your Creative Underperforms

When your research stops at surface-level reviews, competitor scans, and obvious category insights, your strategy starts from the same information everyone else has. That is why your listings blend in, your copy sounds generic, and your creative starts feeling like it came from the same AI prompt as everyone else.

Research isn’t a box to tick before the real work starts. It’s the layer that decides whether the creative sells or sits.

The Reality Check

The Cost of Unstructured Research Shows Up Later In Revisions, Results, and Wasted Spend.

Missed Key Insights

Brand inputs, reviews, competitors, keywords, category patterns, and buyer behavior all hold useful signals. Without a defined process for what to extract and prioritize, the insights that should shape strategy get missed.

Inconsistent Quality

When every person researches differently, the output reflects the capability of the individual, not the standard of the agency. One project gets depth, another gets a lighter scan, and quality becomes harder to repeat.

Revision Cost

Weak research creates direction changes later. Copy gets rewritten, visuals get adjusted, approvals drag, and team bandwidth that could move the next project forward gets spent fixing the current one.

Weak Creative Direction

When the research layer is shallow, the creative direction becomes narrow. Copy and visuals start from scattered assumptions instead of clear buyer logic, competitor gaps, and proof priorities.

It Doesn’t Just Cost Time. It Costs Trust.

When the work feels under-researched, clients question the value they paid for. Extra revisions, unclear decisions, and weak justification make the agency look less strategic, even when your team has the talent.

Introducing

The Research Engine From AMZ Brand Studio

Give every project the same research depth, quality, and creative-ready direction.

Quality depends on who’s staffed that week

Your senior’s depth on every brief, even the ones they never touch

You can’t promise what you can’t repeat

A quality bar you can sell upfront and hit every time

Revisions pile up from shaky research

Fewer rounds, because the thinking was right before design started

Listings that hope to convert

Listings engineered to convert, not left to luck

Inside the AMZ Research Engine

Six Research Layers. One Structured Dashboard.

Built to help your team decide what to say, what to prove, and what to prioritize in under a minute.

app.amzbrandstudio.com/research/overview
The Overview layer of the research report
The Competitors layer of the research report, mapping direct and indirect competitors by price, ASIN and positioning
The Demographics layer of the research report
The Discovery layer of the research report
The Keywords layer of the research report
The Reviews layer of the research report
01Overview
Let’s address the elephant in the room

“Can AI research this for me?”

AI can give you an answer. The Research Engine is built to surface the 1% insight your creative should actually be built around.

Here’s where the difference actually lies

Starting Point
Starts from what someone remembers to prompt
Starts from structured onboarding inputs and attached brand links
Research Structure
Changes with every prompt, user, and project
Follows the same six-layer Amazon research workflow every time
Context Quality
Depends on the quality of pasted information
Pulls from brand data, listings, reviews, competitors, keywords, and website signals
Competitor Analysis
Gives surface-level comparisons when asked
Maps positioning, pricing, strengths, weaknesses, gaps, and buy reasons
Review Mining
Summarizes reviews if you provide them
Identifies sentiment, objections, recurring questions, expectation gaps, and trust opportunities
Keyword Thinking
Suggests keywords as search terms
Connects keywords to shopper intent, content direction, and creative messaging
Insight Filtering
Gives information, but leaves the team to decide what matters
Highlights the signals worth building copy and visuals around
Creative Direction
Produces research-like output
Turns research into what to say, prove, prioritize, and avoid
Repeatability
Output depends on the prompt and person using it
Quality and depth stay consistent across every project
Team Usefulness
Lives inside one chat or doc
Becomes a shared research foundation your team can actually work from
What It Powers

A Better Way To Start Every Project

One structured brief. On-brand output across every deliverable.

One brief feeds every asset your team ships

Get Understood 01
Get Understood · Story

Amazon A+ Content

Modules built from the research layer: the objections to answer, the proof to lead with, and the buyer logic behind each section, instead of a template filled in afterwards.

Get Found 02
Get Found · Discovery

Listing Optimization

Titles, bullets, and backend terms built from real category research, so the listing earns the impression before it ever has to earn the click.

Get Trusted 03
Get Trusted · Credibility

Storefront Builds

Not a catalog. Your brand’s landing page on Amazon: a guided journey shaped by what the research says shoppers need to see before they trust the range.

Get Converted 04
Get Converted · Off-Amazon

Landing Page

Off-Amazon pages carrying the same brief, so the story a shopper meets on your site is the one they already met on the listing.

No. The Research Engine is built to systemize the research framework your team already needs. It gives strategists, copywriters, and designers a stronger foundation, while your team still makes the final strategic decisions.

The research is built from the inputs that matter for that specific project, including brand information, Amazon listings, competitor data, reviews, websites, keywords, and shopper signals. Each report is generated around the brand, not a generic category template.

The system provides a structured research foundation, while keeping your agency’s workflow and decision-making at the center. Your team can use the insights based on the deliverable, category, and client requirements.

No. The experience is completely white-labeled under your agency’s brand. Your clients interact with your process, while your team uses the system behind the scenes to create a more consistent research workflow.

Fully White Labeled

Deliver This Experience Under Your Own Brand

Your logo, your dashboard, your agency name. Clients see only you, never the system running underneath.

Run every client’s onboarding from one place, and look organized and operationally mature from the first interaction.

app.northline.com/research
The research dashboard, running under your own brand

Same engine underneath. Only the name on it changes.

Product Overview Competitor Gaps Demographics Discovery Keywords Review Sentiment Buyer Objections Proof Points