SearchWise

Ecommerce SEO platform

Turn thousands of keywords into categories you can actually manage.

Group your keywords into clusters and silos that match your store. Every metric follows.

Volume, seasonality, rankings, competitors and AI Overviews, at every level of the structure.

Built on your own Search Console and GA4 data.

The structure

04 Parent silo
03 Child silo
02 Cluster
01 Keyword

Add levels where your catalogue needs them.

Pick a level

The same data, at the level you're being asked about.

As an ecommerce manager, what you need isn't how waterproof trail running shoes did this month. It's how Running did. Select any level below and every figure recalculates from the keywords underneath it.

Parent silo

Running

Example data
Keywords
0
Monthly volume
0
Avg. position
0
AI Overview
0%
Ranking coverage
Seasonality

Share of search visibilityTop 100, volume-weighted
Breakdown

Structure

Build your silos and clusters so they reflect your store.

Keywords go into clusters, clusters into child silos, child silos into parent silos, and you decide how many levels that takes. A shop with three categories and a shop with nine hundred both get a structure that fits.

Level 01

Keyword

Volume, position, SERP features and AI Overview presence, pulled per term.

Level 02

Cluster

A group of keywords that belong to one page or one intent.

Level 03

Child silo

Clusters grouped the way a subcategory is grouped in your shop.

Level 04

Parent silo

The category your management, or your client, actually asks about.

Keyword research

Keyword research for ecommerce, all under one roof.

Find your keywords, group them as you go, and the rest fills itself in: search volume, your position, the URL you actually rank with, how crowded the SERP is and whether an AI Overview sits above it. One button turns the whole structure into an export.

CSV keyword-export-2026-09.csv 8 columns · 4,182 keywords · 34 silos Example data
Silo path Cluster Keyword Volume Position Ranking URL SERP competition AI Overview
Running › Running shoes Trail running shoes trail running shoes 18,100 7 /c/trail-running-shoes High Yes
Running › Running shoes Trail running shoes waterproof trail running shoes 3,600 4 /c/trail-running-shoes Medium No
Running › Running shoes Carbon plate racing shoes carbon plate running shoes 6,600 5 /c/carbon-plate-shoes High Yes
Running › Running apparel Running jackets waterproof running jacket 5,400 16 /c/running-jackets Medium Yes
Running › Running apparel Running jackets winter running jacket 4,400 not ranking no URL Medium No
Running › Running tech GPS running watches garmin running watch 14,800 41 /b/garmin High No

+ 4,176 more rows. Every row carries the silo and cluster it belongs to.

Because the structure travels with every row, the export groups by category the moment it lands in a sheet. No lookup table, no manual tagging.

What follows the structure

Every metric aggregates upward.

Grouping keywords means grouping everything attached to them. Nothing here is a separate export you stitch together afterwards.

01

Search volume

Total demand per cluster, per silo, per category, with duplicates across clusters resolved rather than double-counted.

02

Seasonality

The twelve-month curve of an entire category, not one keyword. Plan intake and campaigns against the peak that actually applies.

03

Rank tracking

Positions per keyword, and per cluster the average plus coverage: how many keywords are in it, and on how many you rank at all.

04

Search Console

Impressions, clicks and CTR pulled straight from the GSC API and reported against the same structure.

05

Competitors

Where you stand against named competitors per cluster and per silo, as a chart or as the underlying table.

06

SERP features

Top 10 results, People Also Ask questions and features such as organic product grids, captured per keyword as positions are fetched.

07

AI Overviews

Presence per keyword, aggregated so you can see which categories are already being answered above the results.

08

PDF reporting

Export at any level of the structure: one cluster for a specialist, one category for the board or the client.

Reporting

Export at the level they asked for.

Category-level reporting is the part that usually costs an afternoon of pivot tables. Here the structure already exists, so a report is a selection rather than a rebuild: pick a silo, pick a period, export the PDF for your management, or for a client.

To add:screenshot

A real screenshot of a cluster or silo report from the tool. Prospects buy a data product on what the interface looks like; this is the single highest-value thing still missing from this page.

Proof

The part only you can fill in.

Three slots. Each one turns a claim on this page into something a stranger will believe.

To add:a number

Keywords tracked, silos built, shops using it, hours saved per report. One concrete figure.

To add:a customer

A logo, a name, or a single quote from someone who runs ecommerce SEO on it.

To add:the contrast

One sentence on what this replaces: which subscriptions, which spreadsheet, which afternoon.

Get started

See it on your own categories.

A demo runs on your Search Console data, so you're looking at your own structure within the call rather than a sample account.