Upholstery service

Background

An upholstery service with a healthy AI presence built up over time — until a domain migration and a restructuring of its service lineup changed everything overnight.

The challenge

The migration and restructure knocked it out of AI answers: visibility collapsed to about 2% and the models lost track of what the business now did, mapping it to the wrong services or none at all. Hard-won presence was at risk of being lost for good.

What we did

We ran it as a controlled recovery, not a rebuild:

• Mapped old-to-new URLs and implemented clean 301 redirects to preserve equity
• Rebuilt the service architecture so each restructured offering was distinct and machine-readable
• Re-established the entity and service signals the models use to match a business to a query
• Prompted re-indexing and monitored how each model re-learned the business
• Verified the models described the new service lineup correctly

Results

Within three months visibility recovered to about 10%, with AI again correctly representing the restructured services. A migration that could have been a lasting setback became a clean reset — on a clearer structure than before. Figures are rounded measured estimates, not exact daily rankings. Results vary by market, model, prompt set, and implementation.

Measurement & evidence

Market:

Upholstery service

Period:

3 months

Measurement:

Fixed buyer-prompt panel, repeated across ChatGPT, Claude, Perplexity, and Google AI.

Primary metric:

AI Visibility — the share of relevant answers, across repeated runs of the fixed prompt panel, that name the business. How this is measured

Starting point → latest measurement:

2% → 10%

Actions completed:

Mapped old-to-new URLs and implemented clean 301 redirects to preserve equity; Rebuilt the service architecture so each restructured offering was distinct and machine-readable; Re-established the entity and service signals the models use to match a business to a query; Prompted re-indexing and monitored how each model re-learned the business; Verified the models described the new service lineup correctly.

Disclosed here:

Category and market type, the measurement window, the metric definition, the provider set the prompt panel was run across, the before/after values, and the source-level work completed.

Withheld:

The client's name and domain, the verbatim prompt panel, and per-run answer text — the first because clients ask for anonymity, the last two because an engagement-specific panel would identify the client. Clients receive all three in their own reporting.

Interpretation:

Measured association after the completed work; not a guarantee that every change caused the full movement.