Study status
Protocol draft · Baseline collection has not startedThe protocol specifies how responses, sources and website changes will be recorded and compared.
Research question
How does Velasco Lawyers appear in AI answers to relevant legal-services enquiries across defined languages and markets, and how do those observations change after documented website interventions?
Collection protocol
- Agree the buyer-intent prompt universe and competitors before the first run.
- Record language and market separately; distinguish app observations from API runs.
- Record engine, model or configuration where available, timestamp and search/grounding settings.
- Repeat observations and retain raw answers, citation URLs, errors and collection costs.
- Freeze the baseline before interventions; log each change with its date and rationale.
- Publish counts, denominators, trends and limitations together.
Measurement definitions
| Metric | Definition for this protocol |
|---|---|
| Mention rate | Valid responses mentioning the brand ÷ all valid responses in the defined panel. |
| Citation rate | Valid responses linking to the brand’s site ÷ all valid responses in that panel. |
| AI share of voice | Responses mentioning the brand ÷ the sum of response-level mention counts for all brands in the fixed comparison set. Count each brand once per response. |
| Prominence | Record first mention position and recommendation context separately; do not imply a stable search ranking. |
| Business outcomes | Track identifiable referrals and qualified enquiries separately from visibility observations. |
Baseline & intervention log
The reporting will pair counts and denominators with an intervention timeline. Changes will be assessed alongside product updates, competitor activity and sampling variation.
Reusable protocol files
Download the field definitions and empty observation / intervention templates. They contain no client data or sample results.