Intent and catalog were misaligned.
High-intent queries landed on thin category pages instead of configurator entry points.
UNIBRIGHT SOLUTIONS · AI SEO · CASE STUDY
Kapissh needed eCommerce SEO and AEO that turned product configurator traffic into revenue — not vanity rankings.
01 / THE PROBLEM
Configurator traffic was high, but blended ROAS and repeat purchase lagged because search and product discovery were fragmented.
High-intent shoppers landed on thin category pages, then bounced before they ever opened the curtain and blind configurator.
REVIEW
We audited search intent, configurator drop-off, and content gaps around high-margin SKUs.
High-intent queries landed on thin category pages instead of configurator entry points.
Top SKUs lacked structured content for fabric, size, and install intent clusters.
Answer engines and AI overviews had almost no clear excerpts for shopping questions.
BUILT
Rebuilt category and product discovery so search demand feeds the configurator.
Mapped room, fabric, and install queries to pages that open the right product flow.
Standardized product briefs and FAQ blocks for high-margin configurable items.
IMPACT
AI accelerated keyword clustering and draft product briefs. Merchandising and offer strategy stayed human.
We used AI to propose title variants and FAQ drafts, then editors locked brand voice and pricing claims before publish.
05 RESULT
MEANS
SEO only pays when the product path is clear.
Fewer, better-aligned landings beat broad category traffic.
FIX
Worth being straight about:
Brand visuals stayed; discovery and SEO systems changed.
Paid still matters; organic now supports the same buy path.
WORKS
Any configurable eCommerce catalog can reuse this pattern: intent-led SEO feeding a measurable product path.
NEXT STEP
Start with a blended ROAS and configurator funnel audit on your top 20 SKUs.
AI SEO, eCommerce SEO, AEO