01 — The client
Excellent Sign Group designs, builds and services Electronic Message Centres, architectural signage and wayfinding across Ontario. Twenty-two national awards, six decades of project work, and a client list won by referral among industry professionals.
That standing was legible to people who already knew the company. It was not legible to a procurement tool, a Knowledge Graph entry or an AI Overview.
At a glance02 — The challenge
Sign design & fabrication · Canadian mid-market · procurement-led buying
As procurement and discovery behaviour shifted toward AI-driven systems, Excellent Sign lacked the verified authority and structured infrastructure its expertise deserved.
Google's Knowledge Graph, AI Overviews and the data layers automated procurement tools query were not reflecting the full weight of what the company had built. A multi-year brand-name discrepancy sat unresolved across the web, so the same business appeared as two conflicting entities; citations disagreed with each other, and nothing corroborated the awards, certifications or service area.
An AI system does not penalise an unresolved business. It simply declines to recommend one, because it cannot confirm what the business claims.
Reputation earned offline was invisible to the systems now doing the recommending.
03 — The strategy: Authority Foundation
One knowledge architecture, structured across six building blocks. Each block produces an artefact the next one builds on, so the foundation compounds rather than resets.
01
Aligned the brand's sixty-year history, awards, trade certifications and project portfolio with the structured vocabulary Google uses to categorise businesses, so the Knowledge Graph reflected the company's actual expertise and geographic reach.
02
A thirty-page competitive and authority gap analysis benchmarking Excellent Sign against regional and national competitors, redefining the value propositions, and identifying which structured signals would most accelerate entity recognition.
03
A full audit and reconciliation of NAPU data across scores of platforms and structured sources — including resolving a multi-year brand-name discrepancy that had split the business into two conflicting entities.
04
A library of structured, localised case studies building proof points across specific regional markets, feeding the corpus AI systems query when they evaluate expertise and service area.
05
A CASL-compliant reputation engine, hardware and software, capturing structured reviews at the point of service with documented opt-in — a compounding layer of social trust that reinforces entity credibility.
06
A website information architecture and knowledge-graph framework optimised for AI indexing and procurement teams, so the entities established in Phase 1 map into the new site rather than reset. The owner's manual for whoever builds next.
04 — The system, in the field
The geographic spotlights publish as Google Business Profile posts against the questions Ontario buyers actually ask. The review system asks for the review by text and email, from the person the customer already dealt with.
Published to the Google Business Profile
Excellent Sign Group
Plan Ahead
Design, engineering and municipal permits run weeks to months. The installs that land on time are the ones planned now.
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Excellent Sign Group
One Province, Many Rules
Sign bylaws change at every municipal boundary in Ontario. A multi-site rollout is a permitting problem first.
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Excellent Sign Group
Permitting Made Easy
Bylaw research, permit applications, committee representation and variances — handled, so the project never stalls at the counter.
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The review invite, personalised both ways
Sent by text
How did we do, Daniel?
Email banner · header crop
Both carry two names: the customer's, and the Excellent Sign contact they actually dealt with — here Mazin Elzeini, Customer Success Partner. Eight templates cover the sales team and points of contact, so the ask arrives from a person rather than from a brand. Consent is documented at the point of service, which is what makes the review layer CASL-compliant and the volume defensible.
05 — What moved, and how we know
Every figure names the system it came from, so each one can be traced back to the place it was measured rather than taken on trust.
Operational capacity
180%
Roughly 60% of capacity before the engagement. Booked past full within months — “eighteen out of ten”, in the operations lead's words.
Client-reported production capacity · corroborated by the operations lead
Figure
What moved
Window & source
2×
Organic traffic, through entity alignment and structured activity signals rather than added media spend.
Google Search Console + GA4, organic sessions
2×
Five-star review volume, strengthening credibility in both human and AI-evaluated search.
Smart Review System, verified opt-in reviews
60+
Citation platforms reconciled and synchronised, including the multi-year brand-name discrepancy that had fragmented entity signals across the web.
Citation audit, Phase 1 delivery · complete
30pg
Authority gap analysis, establishing new positioning benchmarks and competitive intelligence for the regional market.
Delivered artefact · Phase 1
Phase 2
Full website architecture and schema blueprint delivered, designed to extend the foundation into the new site rather than rebuild from zero.
Delivered artefact · Phase 1
Not bigger budgets. Better proof.
Get your AI Readiness Report ›06 — In their words
Huckleberry Way took us right to the top of the map pack, and much faster than any of us expected. We went from watching our web traffic decrease to hitting maximum operational capacity within just a few months.
Teresa Howes
Head of Operations
They built the Authority Foundation our expertise deserves: findable by AI, verifiable by procurement systems, and authoritative in our category.
Said Elshawiesh
President
The work was never the problem.
More work
What happens next
Step 1 — See your score
Run a free check of how clearly AI can resolve, trust, and cite you, scored out of 100 across six signals. Your report lands in your inbox, usually within minutes.
Step 2 — Map the plan
We walk through your report, show you where AI hesitates, and map whether the Authority Foundation or the Authority Graph is the right system for your goal. Interpretation and planning, not a sales pitch.
