Franchise AI-answer content
Content that gets you cited, not skipped✦
Cited is a human-overseen content engine that gets franchise brands named in AI answers. I run the engine, and a real person (me) reviews every piece against your voice and your legal boundaries before it publishes. AI speed, none of the content-mill penalty risk.
One paid test run before you ever commit.
“Best fitness franchise to buy in 2026?”
[Your brand], cited by name. When your site publishes franchise-compliant content that answers the real question, ChatGPT, Perplexity, and Google AI Overviews start naming you.
100%
Human-reviewed before publish
4
AI engines it targets
1
Paid test run before you commit
AI Overviews · ChatGPT · Perplexity · Gemini · Franchise-compliant · Human-reviewed · Citation-gap analysis · Written to be cited
Why this matters
Franchise content has a visibility problem.
These are the reasons your brand is not the one getting named in AI answers. I built the engine to fix each one.
Generic AI content gets you flagged
Google does not penalize AI. It penalizes unhelpful content published at scale. Mass-generated posts with no human review are exactly what it looks for.
Your competitors get cited, not you
Ask ChatGPT which brand to franchise with and a competitor comes up. Their content answers the question. Yours does not exist yet.
FDD and legal landmines
Franchise content has rules most writers ignore: earnings claims, territory language, trademark use. One wrong sentence and legal is in your inbox.
Thin content that never ranks
Volume for its own sake. Posts that say nothing, rank for nothing, and get cited by nobody. Search engines and AI models both skip them.
Voice drift across every post
One careless tool and your brand sounds like ten different companies. Franchisees notice, and so do the AI models building a profile of you.
Nobody watching AI day to day
What gets cited changes weekly. Without someone tracking it, you find out you have gone invisible months after it happened.
How it works
AI speed. Human judgment. Every piece.
You send me the raw material. I build the engine, we refine it on a paid test run, then I run it on a cadence I set by hand. No mill quota, no autopilot.
You send the source material
Your brand voice, style guide, and FDD or legal docs. The more I have, the more the content sounds like you and stays inside your lines.
I build a compliance profile
From your FDD and legal docs: what you can and cannot claim, which words are off-limits for a franchise brand.
A paid test run to refine
Two or three pieces first. We polish voice, depth, and formatting together until it is right. You approve the standard before anything scales.
I set the cadence by hand
Not a fixed mill quota. I decide how often to publish based on your goals, your competition, and what is actually worth saying that week.
Weekly citation-gap analysis
Every week I check who is getting cited in AI answers for your money queries, and aim the next pieces at the gaps.
Human review before every publish
Nothing goes live until I have read it. That single step is what keeps you on the safe side of Google's content rules.
The standard
Built to get cited without getting you flagged.
“Google does not penalize content for being AI-made. It penalizes unhelpful content published at scale. A human reading every piece is how you stay on the right side of that line.”
100%
Human review, every piece before publish
4
AI engines: ChatGPT, Perplexity, AIO, Gemini
Weekly
Citation checks on your money queries
Paid
Test run before anything scales
Every month, you get
What lands in your inbox.
No junior handoffs. No content mill. One engine, run and reviewed by the person you hired.
Directly from Lindsey
Your monthly outputs
Franchise teams ask
Cited content engine, answered.
Will AI-generated content get my franchise site penalized by Google?+
No, when it is done right. Google penalizes unhelpful content published at scale, not AI assistance itself. Every piece I publish is read by a human (me) for accuracy, depth, and voice before it goes live. That review is the difference between content that ranks and content that gets flagged.
How is this different from a content mill or just using ChatGPT?+
A mill ships volume with no judgment. ChatGPT with no oversight drifts off-voice and invents claims. I run the engine, then read and refine every piece against your voice and your legal boundaries. You get AI speed with a real editor accountable for what publishes.
What do you need from me to start?+
Your brand voice notes, your style guide, and any legal or FDD documents that govern what you can claim. Then we run a paid test run of two or three pieces to lock the voice and the standard before anything scales.
How do you handle FDD and legal compliance in the content?+
I build a compliance profile from your FDD and legal docs, then check every piece against it: no invented earnings claims, no off-limits territory or trademark language. When something is legally sensitive, I flag it for your team instead of guessing.
How do you know it is actually getting cited?+
I track your brand mentions across ChatGPT, Perplexity, Google AI Overviews, and Gemini, and report what you got cited in each month. That AEO scorecard is how we both see the engine working, not just how many posts went out. Cadence and pricing get set after the test run, once we know the standard your brand needs.
The paid test run
Let's do a test run on your brand.
Send me your voice notes and one franchise topic. I run two or three pieces through the engine so you can see the standard before you commit to anything.
A live test run
Two or three real pieces, built on your brand.
Voice + compliance lock
We agree the standard before anything scales.
An AEO baseline
Where you are cited today, before we start.
A cadence proposal
Set by hand after the test run, not a mill quota.
You’re talking to the person who runs the engine and reads every piece.