Three med spas. Four buyer questions. The same market, sources, and scoring model. The interesting part was not who “won.” It was how differently the systems assembled the answer.
All three websites earned the same readiness score: 74. Their discovery results did not. OVME had the strongest composite visibility, Glow held the best observed Google/Maps position, and Grace appeared in AI and Yelp evidence while missing from the three matched Google/Maps checks.
Someone asks where to get Botox. The answer engine has to connect treatments, location, providers, reviews, business profiles, and outside sources—then decide which names feel safe enough to mention.
Best med spa for Botox in Franklin, Tennessee
Where should I go for dermal fillers in Franklin, Tennessee?
Which Franklin med spas have strong local reputations?
What medical spa offers personalized injectable treatments near Cool Springs?
The visibility score combines live Google/Maps presence, AI-answer evidence, website readiness, and supporting source signals. The position column is kept separate because observed and modeled positions are not the same thing.
| Business | Visibility | Evidence classes | Google/Maps position | Website readiness |
|---|---|---|---|---|
| OVME Cool Springs | 62/100 | 4 of 4 | 6 average when present | 74/100 |
| Glow Medical Spa | 57/100 | 3 of 4 | 2 average when present | 74/100 |
| Grace Aesthetics | 51/100 | 3 of 4 | Not observed in 3 checks | 74/100 |
“Evidence classes” are Google/Maps, Gemini, the ChatGPT-style OpenAI check, and Meta readiness/model evidence meeting the score threshold. They are not four consumer prompts answered in four consumer apps. Grace’s audit displayed a modeled fallback position of 7 of 14; it is excluded from the observed-position column above.
That is the real story. Local discovery is fragmented. A business can look strong in one source and nearly invisible in another at the same moment.
Elegant Aesthetics appeared repeatedly at the front of the reviewed local comparison sets. Beyond that, the source mix changed. This is why a single screenshot—or a single score—is weak proof.
| Source | OVME | Glow | Grace | How it was used |
|---|---|---|---|---|
| Google/Maps via DataForSEO | 67% mention rate · avg. 6 | 67% mention rate · avg. 2 | 0% · not observed | Three matched buyer queries |
| Gemini with Search grounding | Mentioned + recommended | Mentioned + recommended | Mentioned + recommended | One standardized answer check |
| OpenAI with web search | Mentioned + recommended | Mentioned + recommended | Mentioned, not recommended | ChatGPT-style proxy, not consumer analytics |
| Yelp | Not in returned set | Position 8 · 4.6 · 9 reviews | Position 2 · 5.0 · 7 reviews | One localized category search |
| Meta supporting check | 60 readiness points | 0 readiness points | 60 readiness points | Website-linked signals and model check |
| Independent LLM mentions | Error | Error | Error | Excluded from conclusions |
DataForSEO’s independent LLM-mentions endpoint returned HTTP 404 for all three audits. A failed provider is not counted as a non-mention. Bright Data was not separately used; the audit payload’s legacy `brightData` field mirrored the active DataForSEO result.
All three sites reached 74 for website readiness. If the site score alone controlled discovery, the results would look much more alike.
Each system still has to connect the exact Franklin location to the treatment being requested. Chains need especially clear location-level evidence.
Reviews, profiles, directories, citations, and third-party pages can reinforce—or complicate—what the website says.
Botox, fillers, provider credentials, and appointment evidence answer a more useful question than a generic “medical aesthetics” description.
Here is a transparent scenario—not a forecast and not private data from any business in the study.
| Monthly discovery opportunities | Additional qualified visits | Additional bookings | First-service revenue | Annualized |
|---|---|---|---|---|
| 500 | 20 | 3 | $1,200/month | $14,400 |
| 1,000 | 40 | 6 | $2,400/month | $28,800 |
| 2,500 | 100 | 15 | $6,000/month | $72,000 |
The scenario assumes capture rises from 8% to 12%—a 50% relative visibility lift—15% of the incremental qualified visitors book, and the average first service is $400. If an acquired customer completes three $400 visits, the base scenario represents $7,200 in eventual customer value from that month’s cohort. Better rank does not guarantee this lift; client reporting must replace every assumption with actual traffic, booking, completion, and repeat-visit data.
A local business does not need to become the biggest brand in town. It needs to become one of the clearest, best-supported answers to a valuable customer question.
Keep the name, address, hours, services, and booking path consistent across the location page and public profiles.
Build genuinely useful Botox and filler information around providers, candidacy, process, safety, and expected next steps.
Improve the independent trail through accurate profiles, relevant reviews, credentials, local mentions, and trusted directories.
Use the same questions, market, entities, providers, and score model after a documented change.
The friendly version is the story above. This is the audit trail.
| Run window | August 14, 2026 · 5:12 PM UTC · audits completed within 27 seconds of one another |
|---|---|
| Entity control | Exact official website, exact Franklin address, and location-level entity lock for each business |
| Market | Franklin, Tennessee · locked for all three |
| Audit mode | admin_full |
| Score model | fr-score-v2026-08-10-website-v2 |
| Confidence | High for all three audits |
| Provider cost | $0.0072 each · $0.0216 total |
| Audit IDs | audit_a87100eb… · audit_5292470f… · audit_e4532a31… |
AI answers and local results can change with location, personalization, model updates, reviews, business changes, and provider availability.
This is independent public-data research. None of the named businesses paid to participate, and inclusion does not imply a Frontier Rank client relationship.
The outcome model is illustrative. It becomes a forecast only after replacing every assumption with verified business data.
Observed positions apply to the matched queries and returned comparison set—not every search, user, or med spa in Tennessee.
See whether you enter the recommendation set, who appears around you, and which evidence may be missing.