Case studies
Watch AI visibility change over time
Every case study shows the baseline, the work performed, the result and the 90-day trend — measured with the same frozen benchmark throughout, so movement means something.
Baseline measurement underway
No live AI observations have been collected yet, so no study below shows a result. Nothing on this site reports improvement that has not been measured — including our own.
Publishing projected or illustrative outcomes would defeat the entire purpose of the methodology, so this stays as it is until the data is real.
What each study will show
The structure is fixed in advance so that a study cannot be shaped around a flattering result after the fact.
- 1
Baseline
Where the business actually started, measured before any work.
- 2
Problem
What the baseline revealed — lost prompts, missing sources, inaccurate facts.
- 3
What we changed
The specific work performed, dated.
- 4
30 days
First re-measurement on the identical benchmark.
- 5
60 days
Second re-measurement.
- 6
90 days
Third re-measurement and the trend across the period.
Published
No case studies published yet
A case study is published once it has at least two completed measurement cycles behind it. Until then there is nothing here that would be true.
In measurement
The businesses currently being measured for publication. Baselines are being captured now; results appear here when there is enough history to say something honest.
AI Visibility / AI Recommendation Optimization
Greenbug.ai
Flagship transparent case study. Greenbug measures itself with the same methodology and publishes the result, favourable or not.
Market: Washington DC, Maryland and Northern Virginia
Follow this study →Landscaping
DEL Landscapes
Established local company. Benchmark case for optimising a business that already has real-world reputation but thin machine-readable authority.
Market: Montgomery County, Maryland
Tree Services
DEL Trees
Brand-new division. The zero-to-AI-visibility case study: baseline is expected to be at or near zero, which is exactly what makes it worth publishing.
Market: Montgomery County, Maryland
Follow this study →Private Lacrosse Coaching / Recruiting
Ria Lagdameo
Two-geography personal expert brand plus a remote service. Tests whether the methodology holds when the 'business' is a person and the service area is split.
Market: Maryland and Florida
Businesses appear here only when their portfolio record is flagged for public measurement. Clients who have not agreed to be published are measured privately and never listed.
Including ourselves
Greenbug.ai is in the list above as a measured business, not as the company doing the measuring. We run the same benchmark on our own brand and will publish the result whatever it says — a company selling AI visibility that cannot demonstrate its own is worth knowing about.
DEL Trees is the zero-to-visibility study: a brand-new division with no website and no history, where the baseline is expected to be at or near zero. That is precisely what makes it worth publishing.
Start your own before-and-after
The baseline is the 'before'. Without it, there is nothing honest to compare against later.