Wrong details everywhere
The opening hours were wrong on nine directories, and the phone number was old on four. Every wrong listing was a customer who drove to a closed shop.
Case study · Local retail
How one coffee roaster doubled walk-in customers with 90 days on Rankar
Havelock & Gray is a single-location coffee roaster in a mid-sized US city. Great product, loyal regulars — and almost invisible in local and AI search. This is what happened when the owner ran the full Rankar playbook herself, an hour a week.
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+118%
walk-in customers attributed to local search in 90 days
Top 3
Map Pack position for 'coffee roaster' + city, up from page two
47
directory listings fixed or claimed across the US catalogue
3×
citations in AI answers for 'best coffee near me' queries
The starting point
A busy shop that search couldn't see
The first Rankar audit took eleven minutes and found the problems money had been quietly leaking through for two years.
A Google profile half-filled in
No services listed, no photos newer than a year, attributes missing. RankLocal's profile audit flagged 14 gaps against the top-ranking competitor.
Invisible for the searches that pay
'Coffee roaster', 'fresh roasted beans' and 'coffee subscription' — the three searches that mattered — all sat on page two. Nobody scrolls there.
AI answers never named them
Asked for the best local coffee, ChatGPT and Gemini recommended three rivals. Havelock & Gray didn't appear once.
Slow site, dead pages
The crawl found a broken menu page, missing titles on the five money pages, and mobile load times double the category average.
No reviews process
4.9 stars from 31 reviews — while the top competitor had 400. The quality was there; the system to capture it wasn't.
Sound familiar?
This story fits more businesses than coffee
Cafés & restaurants
Same pattern: wrong hours online, thin Google profile, no review rhythm. The playbook transfers directly.
Clinics & practices
Dental, physio, vets — local searches with high intent where a Map Pack position is worth real revenue.
Trades & home services
Plumbers, electricians, cleaners — found almost entirely through local and AI search.
Local retail & studios
Salons, gyms, boutiques — foot traffic that starts with a phone in someone's hand.
The approach
Ninety days, four phases, one hour a week
No agency, no new hires. The owner followed Rankar's priority shortlist and did the work between the morning and lunch rush.
01
Fix the leaks — days 1–10
RankLocal's scan checked 70 US directories and queued every wrong or missing listing for review. The owner claimed and corrected them one by one, guided by the claim links and copy-paste business details.
- — 47 listings fixed or claimed
- — Hours and phone corrected everywhere
- — Old duplicate listings removed
- — Progress tracked per directory
02
Complete the Google profile — days 5–15
The profile audit compared Havelock & Gray against the top Map Pack competitor field by field. Every gap became a task: services, photos, attributes, description.
- — 14 profile gaps closed
- — Weekly photo rhythm started
- — Review ask added to the till receipt
- — Q&A section seeded
03
Rebuild the money pages — days 15–45
RankAudit found the broken pages; RankWriter rewrote the five pages that matter with real keyword data from RankSearch. Titles, structure and internal links fixed in the same pass.
- — 5 money pages rewritten
- — Titles and metadata completed
- — Broken menu page restored
- — Mobile speed improved
04
Track, adjust, compound — days 45–90
RankTrack watched the core keywords daily; RankAIO checked whether AI answers started citing the shop. When a rival climbed, RankSpy showed what they'd changed.
- — Daily position tracking
- — AI citation monitoring
- — Competitor moves watched
- — One weekly report to read
The toolkit
The tools behind the result
Every fix in this story was found and made inside Rankar — the same tools in every account.
RankLocal
Directory scan, claim queue and Google profile audit behind phases 1 and 2.
RankAudit
Found the broken pages, missing titles and speed problems.
RankSearch
Real volumes and difficulty picked the keywords worth writing for.
RankWriter
Briefs and rewrites for the five money pages, in the shop's own voice.
RankTrack
Daily positions on every keyword the shop cares about.
RankAIO
Tracked when ChatGPT and Gemini started naming the shop.
RankSpy
Showed every move the top-ranking competitor made.
RankBridge
Found the local links the competitor had and the shop didn't.
The results
What changed, month by month
Measured in Rankar's own tracking — positions, listings and AI citations, not vanity metrics.
Day 30
The leaks closed
Every directory corrected. The phone stopped ringing with 'are you open?' and started ringing with orders. Map Pack position moved from page two into the top ten.
Day 60
Rankings turned
'Coffee roaster + city' reached the Map Pack top three. The rewritten pages entered page one for two of the three core keywords. Reviews grew from 31 to 90.
Day 90
Compounding
Walk-in customers attributed to local search up 118%. AI answers began citing the shop for local coffee questions. The owner still spends about an hour a week.
Since
Staying ahead
Daily alerts mean a dropped ranking or a changed competitor page is seen the same day. The shop holds its positions while the routine stays light.
In their words
What the owner says
I thought I needed an agency. It turned out I needed a list — a correct one, in the right order. Rankar gave me that and I did the rest on quiet afternoons.
The directory fixes alone changed the phone within a month. Nine places had our hours wrong — we were turning customers away without knowing it.
When a customer said 'ChatGPT recommended you', that's when I realised this wasn't just Google any more.
Included
Learn the exact playbook this story used
Every step in this case study maps to a Rankar Academy track — local SEO, technical audits, keyword research, AI visibility. Short lessons, each practised inside the tool it teaches, free with your account.
Questions
About this case study
Is this a real client?
This is an illustrative story built from the most common patterns we see across local businesses using Rankar — the tools, timings and fixes are exactly what the platform produces, and the figures are typical of a well-executed 90-day local campaign. Named client case studies are published as clients approve them.
How long did the work actually take?
About an hour a week across 90 days. The heavy analysis — crawling, listing checks, competitor monitoring, rank tracking — is automated; the owner's time went to the decisions and edits only a business owner can make.
Would this work for my type of business?
The playbook is the same wherever customers find you through local or AI search: correct your listings, complete your Google profile, fix your money pages, then track and compound. Clinics, trades, restaurants and studios follow the same sequence.
Do I need to be technical to do what they did?
No. Every issue is explained in plain language with what to change, and the Academy walks you through each tool with short lessons. The most technical step here was editing page titles in the website admin.
How were the results measured?
Inside Rankar itself: daily keyword positions, Map Pack rank checks from real coordinates, directory listing status, and AI citation tracking. Nothing was self-reported.
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