Branding guide · Citation-ready structure
No structure can guarantee an AI citation. A brand improves its chance of being used when the entity is stable, the page answers a narrow question, the claim has a boundary, and the supporting evidence is public, current, and easy to trace.
entity · claim · source · owner
Read each finding with its scope and limitation. The source supports a decision boundary, not a universal causal claim.
No publisher can guarantee an AI citation or recommendation. The practical work is to make the entity clear, answer real questions directly, publish evidence that can be checked, and monitor a stable set of prompts without mistaking discovery for citation.
Each step must leave an inspectable decision, not another layer of presentation language.
A page earns its route by answering a distinct question or holding a distinct source record.
State the public name, category, main buyer path, and primary offer.
Show the sourced brand mechanism, public proof, dates, and decision lesson.
Teach the mechanism and link to proof-bearing examples.
State the work, boundaries, next step, and responsible operator.
List the same routes, names, dates, and relationships used by the pages.
Move retired routes to the closest current answer in one hop.
Check the human answer first, then the machine representation.
Use the answer that matches the decision in front of you, then check the cited evidence and boundary before acting.
No. Model behavior, source selection, prompts, product changes, and retrieval conditions can change. Build clear, useful, source-backed pages and report observed results without promising a citation.
Discovery means the system appears to have found or understood the brand. A citation is a visible source attribution in a specific answer. One can occur without the other, so record them separately.
Create pages for a real reader question and make their structure, facts, sources, and canonical route easy to inspect. Thin pages aimed at a model add little for people and provide weak evidence.
Use a repeatable prompt set with dates, markets, account state, observed brand language, visible citations, links, and referral behavior. Compare patterns over time and note that results are directional, not causal proof.
If a name, color, mark, message, voice, or page is starting to affect sales or trust, get the public-facing decision checked before rollout makes it harder to change.