GEO CASE STUDY
From Invisible to Cited: 312% Citations Growth for EGC Supply
How a B2B industrial distributor went from rarely referenced to consistently cited, building the AI visibility needed to compete in a category where procurement teams research suppliers before making contact.
Client
EGC Supply
Niche
B2B Industrial
Duration
6-Month Campaign
+304%
Cited pages growth
+312%
Citations growth
+43%
AI mentions growth
The Client
EGC Supply: B2B Industrial Distribution for Procurement Teams
EGC Supply is a B2B industrial distributor serving procurement teams and operations managers across industrial and manufacturing sectors. In a category where buyers frequently consult AI to compare suppliers, verify sourcing options, and evaluate vendor reliability before making contact, AI citation presence is a direct pipeline concern, not a secondary metric. Which industrial suppliers are worth evaluating is increasingly answered by an LLM before a buyer ever visits a vendor website.
THE CHALLENGE
Strong Product Range, Weak AI Signal
Absent From AI Sourcing Responses
EGC Supply was not appearing in AI-generated responses to industrial procurement queries. When buyers asked LLMs to compare distributors or identify sourcing options for industrial components, the responses drew from well-cited incumbents, leaving EGC invisible at the moment of early-stage vendor evaluation.
Citation Baseline Too Low to Register
With only 25 citations at baseline, EGC Supply lacked the citation mass that AI systems use as a trust proxy. Established national distributors had accumulated editorial coverage over years, and without a structured programme to close that gap, EGC’s citation profile remained structurally underweight.
Narrow Cited Page Coverage
Industrial procurement intent is fragmented across product category, application type, sector, and order specification. With few pages earning citations, EGC was absent from most of those intents even where it had the product range to serve the query directly.
B2B Content Held to a Higher Accuracy Bar
Industrial buyers consulting AI expect specification-level accuracy, not general product descriptions. Vague or non-technical content is not cited regardless of catalogue depth. EGC needed content that satisfied the technical specificity signals AI systems use to evaluate supplier credibility.
Our Approach
GEO for Industrial Supply: Building the Citation Signal B2B Distributors Need to Be Recommended
Our strategy for EGC Supply was built on one insight: in B2B industrial sourcing, AI systems function as procurement research tools. They cite suppliers with demonstrable technical depth, not just suppliers with extensive product catalogues. We focused on building the citation infrastructure that allows EGC to appear in AI responses at the specific buyer intents where the sourcing decision begins.
Citation Audit and Gap Analysis
Before producing any content, we audited EGC Supply’s existing citation footprint: which pages were being cited, in what content formats, and for which product intents. We mapped that against the citation profiles of leading competitors to identify where the gap was widest. This told us exactly which product and application clusters to prioritise first.
Intent-Mapped Content Architecture
We restructured EGC Supply’s content around the specific intents industrial buyers bring to AI systems: product category, application type, sector, and specification requirements. Each content cluster was built to function as a self-contained, citation-ready answer to a defined procurement question, not as general catalogue copy. This gave AI retrieval systems extractable, specific information to cite.
Technical Depth and Specification Accuracy
B2B industrial content faces a stricter credibility bar in AI citation pipelines. We audited EGC’s existing content against the technical specificity and sourcing transparency signals that LLMs use to evaluate supplier sources. Product specifications, application guidance, and procurement process detail were embedded across cited pages to make EGC’s content legible to AI systems as a reliable sourcing reference.
Cited Page Expansion Across Product Intents
We identified the product and application intent clusters where EGC had relevant inventory but no citation-ready page, and built structured content to fill those gaps. Priority went to intents with high AI query volume and limited incumbent coverage. These are the entry points into the citation graph where new entrants can earn placements fastest.
The Impact
312% Citations Growth: EGC Supply Now Has a Structural AI Presence in B2B Industrial
+312%
Citations growth (25 → 103)
+43%
AI mentions growth (28 → 40)
+304%
Cited pages growth (22 → 89)
“EGC Supply now holds a citation position across enough product category and application intent clusters that when a procurement manager asks an AI which industrial distributor to evaluate, the brand has a structural reason to appear. Not as a result of paid placement, but as a credibility signal the AI has already encountered and stored.”
Actionable Insights
What B2B Industrial Distributors Can Learn From This Campaign
AI Procurement Research Runs on Editorial Trust
When a buyer asks an AI which industrial distributor to consider, the response draws from suppliers with accumulated editorial citations, not suppliers with the largest product catalogue. A B2B distributor with a thin citation profile will be absent from those responses regardless of its product range or pricing competitiveness.
Industrial Content Requires Specification-Level Detail
AI systems in B2B categories apply a stricter credibility filter than in consumer contexts. Content that is vague about product specifications, application requirements, or procurement processes is not cited. Suppliers that want AI visibility need content that reads the way a technical expert explains a product: specific, process-grounded, and free of marketing abstraction.
Intent Fragmentation Is an Opportunity
Industrial buyers search by product category, application, and sector, and AI systems serve each intent from a different set of cited sources. Distributors with broad cited page coverage across those intents capture buyers at multiple stages of the evaluation process. Those with one or two strong pages miss most of the sourcing funnel.
GEO Compounds Fastest in High-Stakes B2B Categories
Buyers consulting AI about an industrial supplier are often close to issuing a purchase order. Distributors that appear in those responses capture intent at its most commercially ready moment. Early investment in citation presence in B2B industrial compounds because procurement queries are consistent, high-volume, and tied to actual sourcing decisions.