Collect the record.
Map public sources, owned records, recordings, profiles, mentions, pages, and claims.
Primary Source · Founded by Leith Uwaydah
Primary Source organizes verifiable evidence so people and AI can retrieve, connect, and cite the truth.
The work is structural: inventory the record, attach claims to sources, normalize the entities, publish one consistent home, and measure whether the right people can find and act on it.
A good reputation can still be invisible to a machine.
Credible people and organizations often have plenty of real proof. The problem is that it is fragmented: one fact in a recording, another in a profile, a result in a document, a mention on somebody else’s site, and five versions of the same biography.
AI cannot reliably multiply what it cannot retrieve and corroborate. Primary Source turns that scattered record into an evidence system.
Primary Source is not a promise that marketing, sales, or public relations disappear. It aims to reduce dependence on unsupported claims and manufactured slogans by making what can be proven easier to find, verify, and reuse.
The Primary Source method
The output is not a pile of content. It is a source-controlled system from which pages, profiles, articles, clips, and corrections can be derived.
Map public sources, owned records, recordings, profiles, mentions, pages, and claims.
Match each claim to the strongest available source. Mark gaps as unknown instead of completing the story with inference.
Standardize names, dates, relationships, locations, source tiers, and canonical URLs.
Build one canonical page, then derive channel-specific assets that point back to the same record.
Align public profiles and link independent evidence without pretending that every mention carries equal weight.
Track discovery, qualified actions, corrections, and the difference between attention and business outcomes.
The claim ledger
A usable evidence system keeps the claim, source, entity, status, and limitation together. That makes corrections cheaper and invented confidence harder.
Founder field note · 18 minutes 42 seconds
Leith recorded this whiteboard walkthrough after studying the seven foundational Marketing Mechanic episodes. The recording is evidence of the apprenticeship itself—not a claim that the work is finished.
Content is not the evidence. It is how the evidence travels.
A person or company can say it is trustworthy. A search engine or AI system still has to decide whether other records support that statement. Leith’s first principle is therefore relational: the entity, its owned profiles, and independent sources must point to the same real-world identity.
The geo-vertical grid asks whether a relationship is relevant by place, industry, or both. A real relationship in the same city or field explains more than a purchased link from an unrelated high-authority page.
Random seasonal posts behave like a newspaper: each issue expires. A Topic Wheel starts with durable WHY stories, connects them to HOW expertise, and routes attention toward the WHAT—the useful offer. The same strong source can be reused and repurposed instead of replaced every day.
Impressions and clicks describe traffic. Calls, qualified leads, jobs, and revenue describe conversion. Primary Source keeps those categories separate so visibility is not mistaken for an outcome.
LinkedIn, YouTube, Facebook, Instagram, and TikTok can corroborate identity and distribute work, but they are rented properties. The personal site should own the name, facts, stories, and primary links. The company site—or, here, the company’s canonical section—ties the commercial record together.
Current proof boundary
Method references
Leith is learning the Content Factory and Marketing Mechanic systems under Dennis Yu’s mentorship and through his work with the Local Service Spotlight team.
Primary Source is being built in public