C: Classify every important claim

Mark important sentences as fact, measurement, first-hand account, interpretation, recommendation, prediction, or value judgment.

Different claims need different support.

Example: "Our support backlog fell by 20 percent after we introduced routing automation."

This contains a measurement and a causal implication. Verify the metric, period, denominator, and alternative explanations. If causation was not tested, write: "During the four weeks after routing automation launched, the backlog was 20 percent lower than the previous four weeks. Volume also changed, so we cannot attribute the difference to automation alone."

The second sentence is less dramatic and more defensible.

L: Link the primary source

Use the source closest to the claim: original research paper, official legislation or policy, product documentation, company announcement for the company's own statement, dataset and method, full interview or transcript, decision record, or first-hand artifact.

Secondary reporting can provide context or independent analysis. It should not replace available primary evidence.

For each source, record the URL or file, title, publisher or owner, date, relevant passage, what it supports, what it does not support, and access or permission limits.

Google's people-first content guidance asks whether material offers original analysis, demonstrates experience, provides clear sourcing, and avoids factual errors. Those questions make a useful editorial checklist.

A: Attribute role and interest

Tell readers why this person is speaking.

Examples include: "I led the migration project," "I am an investor in the company," "I conducted the analysis," "Our firm sells this service," and "I reviewed the public record but did not participate."

Interest does not automatically invalidate an argument. Hidden interest prevents readers from weighing it.

Attribute quotations to the original speaker and context. Do not convert a paraphrase into quotation marks.

I: Include limits and counterevidence

A credible caveat answers what the sample is, what period it covers, what conditions must hold, who is excluded, what alternative explanation exists, what evidence would change the conclusion, and where qualified people disagree.

Include the caveat near the claim, not in an invisible disclaimer.

A counterexample can improve the piece: "This approach worked for a small product team with direct customer access. A regulated enterprise may need a different review path."

The limit helps the right reader apply the idea.

M: Maintain the claim

Thought leadership ages. Products, evidence, roles, laws, and market conditions change.

Every important page or clip should have a publication date, last reviewed date, named owner, source snapshot or version, next review trigger, and status: current, under review, superseded, or retired.

Review when the underlying product changes, a source is corrected or retracted, new evidence materially challenges the claim, the author's role changes, law or policy changes, or the asset is reused in a new context.

Do not change a date merely to make content look fresh. Update the substance and explain material revisions.

S: Show corrections

Create a visible correction policy: correct factual errors promptly, note material changes, preserve an internal version history, link superseded pages to the current one, retire clips that cannot be fixed in place, and inform affected people where appropriate.

A correction is part of verifiability, not evidence of failure.

Build a claim ledger

For each major content asset, store the claim ID, exact wording, type, author, role and interest, primary source, evidence strength, caveat, reviewer, published uses, last checked date, next trigger, and correction history.

The ledger prevents a qualified claim in an interview from becoming an absolute claim in a sales deck six months later.

A worked example

Draft thought-leadership claim: "AI-written founder content destroys trust."

Claim review: the type is broad causal fact, the source is none, and the problem is universal wording and undefined trust.

Verifiable version: "In our editorial work, AI-generated drafts become risky when they invent experience or remove the evidence behind a founder's claim. We use AI for research structure and transcription, while the founder approves the final meaning. This is our workflow judgment, not evidence that every audience rejects AI-assisted content."

Now the author's experience, interpretation, practice, and limit are visible. External research can be added without pretending it proves the whole position.

Make pages easy to inspect

Use a direct answer near the top, descriptive headings, primary-source links near claims, method or example, caveats, author and reviewer, publication and updated dates, related evidence, and a clear correction path.

Google's guide to generative AI search emphasizes valuable, non-commodity content and says foundational SEO remains relevant. It rejects the idea that special AI-only chunking or markup replaces useful content.

Technical provenance such as C2PA Content Credentials can record media origin and changes. The C2PA explainer also notes that provenance does not judge whether the claim is true. Maintain both provenance and fact-checking.

Honest limitations

Primary sources can be biased, incomplete, or wrong. A long citation list can create false authority. Expert reviewers can share the same blind spots. Verification therefore includes counterevidence, appropriate independence, and correction.

Some sources cannot be public because of privacy, security, or contract. Narrow the claim or describe the evidence carefully rather than fabricating transparency.

Thought leadership improves inspectability, though it cannot guarantee ranking, citations, or business growth.

How REC fits

REC Content Studio researches supplied links and notes, prepares a guided solo on-camera interview, creates a transcript, and suggests grounded highlights. That gives the claim ledger a human source recording and a clear editorial trail.

REC does not verify every claim, monitor every update, or issue a provenance credential. The author and reviewer still classify, source, caveat, approve, and maintain the content.

Start with the next strong opinion. Write its claim type, primary source, caveat, and review trigger before you publish it.