An e-commerce offer becomes unstable when AI collapses distinctions that are essential to the real offer perimeter.
What the phenomenon looks like
Prices, option logic, and conditional variation are recomposed as if they formed one clean product statement. The answer removes the combinatorial structure that actually determines what the user can buy and under which conditions.
Why it happens
The drift appears because generative synthesis rewards comparability and compression. It prefers a clean category over the exact articulation of options, constraints, dependencies, exceptions, and implementation conditions.
Why it matters
This simplification produces wrong comparisons, wrong expectations, and wrong operational decisions. It is especially damaging where price depends on configuration, variant, quantity, or exception handling.
What must be governed
- Separate native capabilities, integrations, bundles, and optional modules into distinct canonical surfaces.
- State exclusions, limits, and exceptions as first-class attributes, not as footnotes.
- Use stable labels and structured signals so the product is not redefined by the summary layer.
