◆ Case studies

Local businesses winning in AI search.

Illustrative walk-throughs of how teams use AI Ranker to get cited by ChatGPT, Perplexity, and Google AI Overviews — plus the exact levers that moved the numbers.

Dental practice· Austin, TX
From invisible to top-3 ChatGPT recommendation in 9 weeks

A multi-op practice tracked 40 geo-specific prompts weekly, closed citation gaps on Yelp and Healthgrades, and shipped structured FAQ schema. ChatGPT began recommending them as the #2 result for “best family dentist in Austin” within two months.

ChatGPT mention rate
0% → 68%
Perplexity citations
3 → 27
Tracked prompts
40

We used to guess whether AI search mattered. Now we see the exact prompts we win — and the ones our competitors still own.

Practice owner, Austin dental group
Home services· Denver, CO
AI Overviews inclusion drove a 34% lift in branded search

A plumbing company mapped the sources Google AI Overviews cited for their category, prioritized guest posts on the top three, and rebuilt their service pages with entity-linked content. Six weeks later they were the cited source on 12 of 25 tracked queries.

AIO citations
0 → 12
Branded search lift
+34%
New citation domains
9

Traditional SEO tools told us we were ranking. AI Ranker told us we weren’t being cited — which turned out to be the number that actually mattered.

Marketing lead, Denver home services
Boutique law firm· Miami, FL
Perplexity citations doubled after fixing entity signals

The firm audited every source Perplexity cited for “best immigration lawyer Miami”, discovered thin schema and missing bar-association listings, and shipped fixes in two sprints. Perplexity now cites them on 21 of 30 tracked prompts.

Perplexity citations
9 → 21
Tracked prompts
30
Time to first citation
18 days

Seeing the actual URLs Perplexity pulls from changed how we think about content. It’s not blog posts — it’s directory and press coverage.

Partner, Miami law firm
Independent hotel· Savannah, GA
Cited as a ‘boutique stay near River Street’ across 4 AI engines

A 22-room boutique hotel tracked 55 traveler-intent prompts (‘romantic hotel Savannah’, ‘pet friendly stay historic district’) and discovered they were absent from every AI answer. The team rewrote their about page with entity-rich descriptions, added HotelSchema markup, and pursued three local travel-blog features. Within 11 weeks they appeared in ChatGPT, Perplexity, Gemini, and Google AIO for 31 of the 55 prompts.

AI engines citing them
0 → 4
Prompts winning citations
31 / 55
Direct bookings lift
+22%

OTAs used to own every AI recommendation. Now our own site is the citation — that changes the economics of every booking.

General manager, Savannah boutique hotel
Med spa· Scottsdale, AZ
Beat 3 national chains for ‘best Botox near me’ in ChatGPT

A single-location med spa was losing every ChatGPT recommendation to national chains. They tracked 28 aesthetic-treatment prompts, discovered their RealSelf and Google Business Profile were under-optimized, and shipped a review-response cadence plus MedicalBusiness schema. ChatGPT now recommends them ahead of the national chains on 19 tracked prompts.

ChatGPT #1 mentions
0 → 19
Review response rate
18% → 96%
Consult requests
+41%

We can’t outspend the chains. Turns out we didn’t need to — we just needed to be the answer AI trusted.

Owner, Scottsdale med spa
Specialty retail· Portland, OR
AIO cited them on 40% of ‘best coffee roaster in Portland’ variants

A third-wave coffee roaster tracked 22 buyer-intent prompt variants. They restructured product pages with Product + Review schema, submitted a corrected NAP to 18 niche directories, and earned two Sprudge features. Google AI Overviews began citing their site on 9 of the 22 prompts and Perplexity on 14.

AIO citations
0 → 9
Perplexity citations
2 → 14
Wholesale inquiries
+27%

The wholesale pipeline moved before the retail traffic did — buyers are researching us in AI before they ever hit the site.

Head of e-commerce, Portland roaster
B2B SaaS· Remote (US)
Perplexity started citing docs on 60% of comparison queries

A 12-person SaaS tracked 45 ‘vs’ and ‘alternative to’ prompts across Perplexity and ChatGPT. They discovered competitors owned every citation via G2 and Reddit threads. The team shipped a public comparison hub, invested in three transparent Reddit AMAs, and added SoftwareApplication schema. Perplexity cited their docs on 27 of the 45 prompts within a quarter.

Perplexity citation rate
4% → 60%
Trial signups from AI
0 → 118/mo
CAC vs paid search
−38%

We stopped writing blog posts for Google and started writing answers for AI. Pipeline responded within eight weeks.

Growth lead, vertical SaaS company
Fitness studio chain· Nashville, TN (3 locations)
Location-level prompt tracking exposed a competitor blind spot

A three-location Pilates studio ran 30 prompts per location (‘best Pilates East Nashville’, ‘reformer classes Germantown’) and found one location was invisible while the other two ranked. They cloned the winning location’s citation profile — same directory set, same GBP category refinements — and closed the gap in seven weeks.

Underperforming location citations
2 → 17
Class bookings, that location
+29%
Prompts tracked per location
30

Averages hid the problem. Per-location prompt tracking told us exactly which studio needed help and why.

Multi-unit operator, Nashville fitness
Real estate team· Raleigh, NC
Named in ChatGPT for ‘best realtor for first-time buyers in Raleigh’

A 6-agent team tracked 35 buyer-persona prompts and realized ChatGPT was recommending Zillow-featured competitors. They published 14 neighborhood guides with FAQPage schema, earned three local podcast appearances, and cleaned up broker directory listings. ChatGPT now names the team on 22 of the 35 prompts and cites their guides directly on 11.

ChatGPT named mentions
1 → 22
Guide citations
0 → 11
Buyer-side leads
+46%

For the first time our own content — not Zillow — is what AI hands to first-time buyers researching Raleigh.

Team lead, Raleigh real estate group

Case studies are composites drawn from typical AI Ranker workflows and anonymized customer outcomes.

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