Case Study

From invisible to the phone ringing in fourteen days

Franchise Film Works launched with a real specialty and zero AI visibility. This is the full record: the baseline, the work, and the numbers, exactly as they happened.

Franchise Film Works logo
0 → 23AI visibility score in 14 days, measured by EchoCheck
30+Qualified leads, client reported
$30K–$40KTypical project value in this market

The client

Franchise Film Works is Brian Licata’s video strategy consultancy for franchise brands: recruitment video for development teams, location marketing video for franchisees, and content systems for brand consistency across locations. A strategist, not a videographer, in a market where that distinction is the whole pitch.

New brand, new domain, launching into a category with an established incumbent. The exact situation where AI visibility is decided early, or by someone else.

Day 0: the baseline

MeasurementResult
AI visibility score0 / 100
Mentions across ChatGPT and Claude0 of 60 answers
Buyer questions tested30 per platform, generated from real franchise-buyer language

When franchise executives asked the AIs who to hire for recruitment video, location marketing, or franchise content, Franchise Film Works appeared in none of the answers. Findings before any money moved.

The work

  1. Baseline auditEchoCheck asked the exact questions franchise buyers ask, recorded who got named instead, and mapped the sources the machines read.
  2. Machine-readable pagesPer-page titles and meta descriptions written for the questions buyers actually ask, with placeholder content removed rather than left to be quoted.
  3. Entity schemaProfessionalService markup on the homepage, Person markup for the founder, one consistent canonical identity.
  4. Verified profilesBing Places verified (it feeds ChatGPT’s live search) and Google Business Profile established.
  5. CitationsPresence built across Crunchbase, Clutch, ProductionHUB, F6S, and Bark, independent sources the engines read and repeat.

The result

Fourteen days after the work began, the identical audit methodology measured the visibility score at 23 out of 100: from appearing in zero answers to being part of them. In the same two-week window, Franchise Film Works began hearing from qualified leads directly, 30 or more of them by Brian’s count, most citing AI as how they found him. Franchise video projects in this market typically run $30,000 to $40,000, real revenue potential sitting in a pipeline that didn’t exist a month ago.

Attribution, stated plainly: the visibility score movement (0 to 23) is SetRise’s measurement, taken with the same audit methodology before and after. The lead count, the $30,000–$40,000 typical deal range, and everything Brian says about the impact on his business are reported by the client and shared here with his permission. Early score movement typically precedes durable authority, which builds over ten to fourteen weeks.

“I started Franchise Film Works less than a month ago, so I wasn’t expecting to see results this quickly. Since working with SetRise, my phone hasn’t stopped ringing with qualified leads. I never believed so many people would find me by asking AI who to hire, yet here I am in literally 2 weeks seeing a real transformation in my business. It’s been a complete game changer, and I couldn’t recommend them enough.”

— Brian Licata, Founder of Franchise Film Works

Why it worked

Nothing exotic. The machines could not read the business, so we made it legible: crawler access, schema, consistent identity, and citations on the sources the audit showed the engines already reading. The audit found the exact gaps; the work filled exactly those gaps; the re-audit measured the difference. That is the entire method, and it is the same one we run on every engagement, including on SetRise itself.

What does AI say about your business?

Every engagement starts the way this one did: the audit, findings before any money moves.

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