Source discipline
Use only the session context and current user input; preserve uncertainty instead of turning missing details into product facts.
Aisle methodology
The method makes uncertainty visible: start with user-provided context, ask focused questions, map concerns to proof, compare three directions, and mark unsupported claims as missing input or risk for human review.
A reproducible decision flow
The methodology describes the structured product behavior that exists today. It does not claim a secret scoring system, legal review, or automatic marketplace audit.
Use only the session context and current user input; preserve uncertainty instead of turning missing details into product facts.
Group buyer concerns by purchase-blocking question and separate available evidence from proof gaps and claim risks.
Generate exactly three distinct directions, each with a concern, angle, proof requirement, hook, and risk note.
Create a structured pack and label outstanding checks as ready, needs input, or risk before media approval.
The complete method
Each stage has a visible purpose and a bounded output so the user can inspect how the final recommendation was formed.
Extract the product, audience, supplied benefits, objections, constraints, and at least one important unknown from free-form text.
Request two to four clarifications about buyer value, likely objections, proof constraints, and claim limits.
Determine whether critical inputs are still missing instead of treating message count as evidence of completeness.
Group concerns, record available evidence, expose proof gaps, and identify risky claim areas.
Present three distinct strategies and let the user select or refine one without silently changing the persisted choice.
Create the page structure, storyboard, safer claims, do-not-say list, image prompts, video prompt, and preflight checklist.
Optionally create image or short silent video drafts, then verify product fidelity, rights, and platform requirements manually.
Transparent demonstration
The example exposes every reasoning step. It is illustrative and does not claim a customer outcome.
Method demonstration
The seller supplies exact dimensions, material, section count, and package contents.
No tested load limit is supplied, so capacity in kilograms cannot become a supported claim.
The buyer asks whether it fits a shelf; the plan calls for measurements and a real-scale image rather than a universal-fit statement.
Dimensions can be marked ready after verification, while any load claim remains needs input or risk.
What the method cannot establish
Aisle controls how supplied information is used, but it cannot establish product truth or marketplace compliance on its own.
Initial analysis currently uses text the user provides; a stored URL is not automatically fetched or audited.
Specifications, certificates, PDFs, screenshots, review feeds, and marketplace accounts are not automatically ingested into the reasoning flow.
Risk levels and preflight states are decision aids, not legal, regulatory, certification, or moderation advice.
The method does not analyze sales, traffic, advertising, ranking, inventory, price, or live conversion data.
Every final statement and generated media draft requires human verification before publication.
Next step
Start with the facts you can supply, make the gaps visible, and build the production plan around proof rather than generic persuasion.