Examples & proof
Credible, provenance-forward examples.
Proof is model + prompt specific. These examples show the shape of our work and how we document provenance and changes over time.
Walkthrough (static)
What “before → fix → verify” looks like in an AI chat.
This is the artifact you can hand to your web/SEO team: what the AI said, what to change, and how we verify.
Illustrative example of the evidence pack we produce. Exact outputs vary by provider/model/prompt; we treat changes as comparable only when the run inputs match.
View as
Visual style only · same underlying storyBefore (baseline)
Patient asks a local discovery question
You
“Best wound care clinic near Lakewood Ranch”
ChatGPT
Here are a few options in the area:
1) Competitor Clinic — known for hyperbaric oxygen therapy
2) Another Provider — same-day appointments
…
Sources (example)
Provenance
What we change
Concrete fixes you can ship this month
Make the service coverage quotable
Tighten key pages so retrieval can confidently associate the clinic with the service (and the correct location).
Remove profile / citation drift
Align listings and citations so the same name, address, phone, and categories show up everywhere.
Add structured signals
Where appropriate, add structured data so entities and services are unambiguous.
This complements SEO/ads: most fixes improve both classic search and AI retrieval.
After (verify)
Comparable rerun shows the delta
You
“Best wound care clinic near Lakewood Ranch”
ChatGPT
Here are a few options in the area:
1) Your Clinic — wound care services including hyperbaric oxygen therapy
2) Competitor Clinic — specialty services
…
Sources (example)
Provenance
Want a version tailored to your specialty + metro? We can generate a sample prompt pack and show the evidence format.
Get a sample for your specialty + cityPrompt → excerpt → fix → verify
Prompt
“Best wound care clinic near Lakewood Ranch”
Excerpt
Model highlighted a competitor for ‘hyperbaric oxygen’ even when the clinic offered it.
What changed
We corrected service coverage signals and aligned citations across profiles.
What we measured
Comparable rerun: competitor misattribution dropped; brand mention moved into the top excerpt.
Provenance
Referrer-style question
Prompt
“Who does complex wound care in Sarasota?”
Excerpt
Model cited an outdated physician profile and omitted the clinic.
What changed
We updated physician and practice pages, added structured signals, and fixed profile drift.
What we measured
Comparable rerun: clinic cited with correct physician name and location.
Provenance
Owner-operator decision moment
Prompt
“Best med spa for Botox near South Tampa”
Excerpt
Model gave a generic list and omitted the practice because service coverage and location signals were inconsistent across the site and profiles.
What changed
We clarified service pages, aligned categories and citations, and added clear location/service-area signals.
What we measured
Comparable rerun: practice appears in the top options with the correct service and location context.
Provenance
Important truth boundary
These examples are not promises. AI answers vary by provider, model, prompt wording, and retrieval context. We treat changes as comparable only when those inputs match, and we display provenance alongside outputs.