About Us: Knowledge Architects.

Where information science, enterprise systems, and documented proof converge.

Our Thesis

Built for the Answer Engine era.

Our work lives in the Semantic Web. We express your entire business as a Brand Knowledge Graph: entities, relationships, identifiers, and proof, modelled in the same language AI answer engines already use. Information science, enterprise systems, and editorial craft combine into one job: making your real authority legible to machines.

The disciplines behind it are older than AI. Authority control, classification, citation analysis, and search validation were built for libraries and research long before Google existed, and AI answer engines now run on those same principles.

That quote is on our business cards. In the AI era, expertise without structure is invisible. We build the structure, fill it with citable proof, and keep it current.

There is one right form for a story, and if you fail to find that form, the story will not tell itself.
Mark TwainMark Twain
Core Principles

Axioms of Knowledge Architecture.

Proof that AI systems can cite and procurement systems can verify requires a structured extraction process. Not just good writing.

  • Infrastructure, Not Tactics

    We install systems that compound. Every proof point strengthens the whole architecture. Every verified relationship makes your position harder to match. Tactics expire. Infrastructure appreciates.

  • Both Sides of the Bridge

    A Google Business Profile without matching website schema is half a bridge. We connect both sides from the first engagement so AI can verify what your profile claims against your website.

  • Platform-Independent

    Your entity should exist across multiple knowledge systems, not depend on one platform. We install verified presence across Google, Apple, and OpenStreetMap by default. Jurisdictional resilience: critical for businesses operating across borders.

  • Proof Over Claims

    AI systems need evidence they can cite. We create documented proof: case studies with named results, structured with schema, connected to your entity model.  This is evidence, not marketing claims.

Four people gathered around a campfire at dusk on a frozen lake, snow-covered hills behind them.
Where we came from

A decade of making expertise impossible to ignore.

Huckleberry Way grew out of Huckleberry Films, a studio that spent a decade turning complex expertise into work that actually moved people: enterprise case studies, brand systems, and video across television, radio, web, and immersive AR.

That work taught a simple rule, borrowed from Mark Twain and printed on our cards: there is one right form for a story, and if you fail to find that form, the story will not tell itself. Finding that form is half the work.

AI has raised the stakes. The right form is now structured and verifiable, and expertise without that form is invisible to answer engines. The craft that shaped brand stories for enterprise leaders is the same craft that now structures proof for mid-market firms. The quality does not scale down.

Verification Manifest

Entity: Huckleberry Way

Entity Declaration
legalName
Huckleberry Way
founder
Von Darnell, MLIS
type
Knowledge Architecture Consultancy
address
Waterloo, Ontario, Canada
jurisdiction
Canada
category
MarketingConsultant · BusinessConsultant
verified nodes
google
Google Knowledge Graph ↗
apple
Apple Business Connect ↗
osm
OpenStreetMap ↗
wikidata
Wikidata ↗
linkedin
LinkedIn ↗

We eat our own cooking. This manifest is the same entity verification we install for every client.

Get your score, read your report, then map the plan.

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.

Get your AI Readiness Report

Step 2 — Map the plan

Book a call, and we'll show you where AI hesitates, and map the right system for your goal. Interpretation and planning, not a sales pitch.

Book a call