Nazmus Sakib  /  SEO case study

From page three to position 9.8 in twelve months.

A US industrial paint and safety supply store with tens of thousands of SKUs was invisible where it mattered: average Google position 22.0, ranking below distributors reselling the same catalogue. Work began 1 September 2025. Twelve months later the site sits at an average position of 9.8, holds #1 in the United States on a long list of product and brand terms, and is being surfaced by AI assistants that sent it no traffic at all a year ago.

Client · Strobels Supply Sector · Industrial supply e-commerce Market · United States Engagement · Sept 2025 – ongoing Scope · Technical + content + AI search
01 — The headline

Twelve months, measured in Google's own numbers

Every figure on this page is read straight from the client's Google Search Console and GA4 property. Nothing is modelled, estimated or rounded up.
Average position
9.8
from 22.0 before the engagement
▲ 12.2 positions
Average CTR
0.8%
from 0.6% before the engagement
▲ 33%
Impressions · 28 days
1.26M
10.5K clicks in the same window
Live · Sept 2026
AI assistant sessions
416
from 0 in the same period last year
New channel
02 — The curve

It moved in the first quarter, then it kept moving

Ranking work that only shows a result at month twelve is usually luck. This one turned inside the first ninety days and then held the gain while the harder pages were rebuilt.
Baseline · Jun–Aug 2025
22.0
Average position, before any work
Thin product pages, duplicated manufacturer copy, no structured data, and a category tree Google was crawling but not ranking.
First 3 months · Sep–Nov 2025
12.4
Average position, 90 days in
Technical debt cleared and the top product and brand pages rewritten. Position nearly halved and CTR moved from 0.6% to 0.7% on the same catalogue.
Now · Aug–Sep 2026
9.8
Average position, twelve months in
Consistently inside the top ten on average across the whole site, with the commercial head terms sitting in the top three and CTR up to 0.8%.
03 — The proof

Straight from Search Console

Unedited screenshots from the client's own Google Search Console property.
Google Search Console three-month comparison showing average position improving from 22.6 to 16.4
First quarter of the engagement. Three months against the three before it: average position moves from the low twenties into the mid teens, CTR from 0.6% to 0.7%, on the same catalogue and the same budget. Source: Google Search Console.
Google Search Console performance report for September 2026 showing average position 9.8, 10.5K clicks and 1.26M impressions over 28 days
September 2026, last 28 days. 10.5K clicks, 1.26M impressions, 0.8% CTR and an average position of 9.8 across every query the site appears for. Source: Google Search Console.
04 — Rankings

Number one in the United States

Average position is a blunt instrument: it mixes head terms with the long tail. Underneath it, a long list of commercial queries now sits at or beside position one in the US market. A sample, taken from the last 28 days of United States traffic.
Query (United States)Average positionType
strobel supply1.0Brand
strobels supply inc1.0Brand
buy glasurit paint online1.0Commercial intent
rational r95-clx1.2Product / part number
3m 96991.3Product / part number
3m 334931.4Product / part number
rational r95 clx filter1.5Product / part number
3m 334781.6Product / part number
r95-clx1.8Product / part number
axalta flex additive1.8Brand product
strobels supply1.9Brand
futuro for her wrist brace1.9Brand product
3m 89492.1Product / part number
rt09c16g20nn2.1Product / part number
3m 21232.5Product / part number
imron industrial paint3.7Category head term
best lead test kit for dishes4.0Informational head term
nason paint5.6Brand head term
imron paint6.1Brand head term
glasurit paint6.5Brand head term

Sample of queries from Google Search Console, United States, 28-day window ending 3 September 2026. Positions are Google's own averages over the period, not a single-day check.

05 — AI search

The site is now getting recommended by AI assistants

Search is not only ten blue links any more. A second layer of work made the catalogue readable to large language models, and it shows up as its own traffic channel in GA4.

What was done

Product and category pages were rebuilt so a model can actually parse them: complete Product, Offer and Organization schema, real specification tables instead of manufacturer PDFs, explicit part numbers and cross-reference numbers in the copy, and answer-shaped content for the questions buyers actually type.

On top of that: clean crawl paths for AI crawlers, canonical entity pages for each brand the store carries, and internal linking that makes the relationship between a brand, a product line and a part number unambiguous.

The effect is that when someone asks ChatGPT, Gemini or another assistant where to buy a specific industrial part, the store is one of the sources that comes back, and the visit lands as a buyer rather than a browser.

AI assistant channel · GA4

01416 sessions from AI assistants in the last 28 days, against zero in the same window a year ago
0213.94% key event rate, roughly double the site-wide average of 6.97%
0355% engagement rate, ahead of direct traffic
04Revenue attributed to the channel from a standing start, and growing month on month

Source: Google Analytics 4, session primary channel group, 8 Aug – 4 Sept 2026 vs the same period in 2025.

06 — Business result

Better positions, better buyers, better numbers

Rankings are the mechanism, not the outcome. Here is what the store's own analytics say about the same twelve months.
Site revenue · YoY
+44.7%
28-day window vs the same period 2025
Key events · YoY
+47.8%
Add to cart, checkout, purchase
Engagement rate · YoY
+46.0%
Site-wide, 46.65% from 31.96%
Organic engagement
57.5%
Organic search sessions that engage
An honest note on traffic volume. Raw impression and session counts for this property are lower than a year ago, and that is deliberate. Twelve months ago a large share of the recorded traffic was bot and scraper activity, and a third of sessions were landing in GA4 as unassigned. Bot access was blocked, tracking was rebuilt and the channel grouping was fixed. What is being measured now is real people. That is why the numbers that matter, position, click-through rate, engagement, key events and revenue, are all up while the vanity numbers are not: the same store is doing more business from a smaller, cleaner, better-qualified pool of visitors.
07 — The work

What actually moved the needle

No link buying, no private blog networks, no tricks that need explaining to a client later.
01 — Technical

Crawl budget put back to work

Faceted-navigation traps, parameter duplicates and orphan pages were cleaned out so Google spends its crawl on pages that can rank. Core Web Vitals, canonical logic and sitemap hygiene were rebuilt at the same time.

02 — Catalogue

Product pages that say something

Thousands of SKUs carried the manufacturer's boilerplate, identical to every competitor selling the same part. Priority pages were rewritten with real specifications, cross-reference numbers, use cases and complete structured data.

03 — Content

Answering the question, not the keyword

Buying guides and comparison pages built around what customers actually search, from lead test kits to automotive paint systems, feeding internal link equity into the commercial pages behind them.

04 — Architecture

Brand and category entities

Each brand the store carries was given a proper hub page, linked consistently across the catalogue, so Google and AI models both understand what the site is an authority on.

05 — Data hygiene

Bots out, real users measured

Bot and scraper traffic blocked, GA4 re-tagged, channel grouping repaired and Search Console reconciled with analytics so every decision after that was made on real numbers.

06 — AI visibility

Readable to models, not just crawlers

Schema, entity pages, answer-shaped copy and clean access for AI crawlers, which turned into a measurable assistant-referred traffic channel that did not exist twelve months ago.

Want the same twelve months for your catalogue?

I take on a small number of SEO programmes at a time, usually for e-commerce catalogues and B2B sites where the products are real and the competition is selling the same thing. You get the technical work, the content, the AI-search layer and a monthly report with the actual Search Console numbers in it, not a dashboard of invented scores. Reply within 12 hours, usually two.