Thirty days isn't a lot of time. But when the starting point is zero AI visibility and the right changes are made in the right order, thirty days is enough to get your first AI citations and establish the foundation for consistent recommendations.
This case study follows a real business a financial planning practice in a mid-sized southeastern city through exactly that process. The name and identifying details have been changed. The before-and-after numbers are real.
The Short Version
A financial planning specialist with nine years of experience and zero AI visibility. In 30 days of foundational work: named on three platforms. In 60 days: named on all four. Two new clients in 60 days who specifically mentioned AI recommended them. Here's exactly what was done.
| Week | Work completed | First result |
|---|---|---|
| Week 1 | Google Business Profile, website layer, name standardization | Gemini started citing at day 14 |
| Week 2 | 12-question FAQ section, llms.txt file | Perplexity cited FAQ content at day 10 |
| Week 3 | 19 new Google reviews, 2 directory listings, LinkedIn | Google AI Overviews at day 21 |
| Day 30 | Audit re-run | 1/8 ChatGPT, 4/8 Google AI, 5/8 Perplexity, 3/8 Gemini |
| Day 60 | Follow-up check | Score: 74/100, 2 AI-referred clients reported |
The Starting Situation
A solo financial planning practice. The advisor had been in business for nine years, had a strong referral network, and carried deep credentials CFP designation, two graduate degrees, and a specialty in retirement planning for business owners transitioning out of their companies.
The website was clean and professional but described the practice in broad terms: "comprehensive financial planning services for individuals and families at every stage of life." No location mentioned. No specific client type named. No FAQ section.
Google Business Profile existed but was unclaimed. There were six Google reviews, the most recent from three years ago. No Yelp listing. LinkedIn had the advisor's personal profile but no company page.
Starting AI visibility by platform:
- ChatGPT: Not mentioned in any of eight test prompts
- Google AI Overviews: Not mentioned
- Perplexity: Not mentioned
- Gemini: Not mentioned
Starting AI Visibility Score: 14 out of 100.
When the advisor searched "best financial advisor for retiring business owners in [city]" her exact specialty, in her exact city ChatGPT named three competitors. None of them were more experienced or more specifically qualified. They just had a clearer online presence.
Week 1: Foundation
Day 1 to 3: Claim and complete Google Business Profile
The profile was claimed through business.google.com and verified. Every field was completed: business name, address, phone, website URL, hours (including noting appointment-only format), and a 200-word description written specifically for the practice.
The description named the advisor, named the city, described the client type ("business owners planning their exit and transition into retirement"), named the CFP designation, and mentioned the specific services offered: retirement income planning, exit strategy coordination, tax-efficient withdrawal planning, and investment management.
This took about two hours.
Day 3 to 5: Website background layer
The practice website was on WordPress with Yoast SEO installed but never configured. The Yoast settings were filled in completely: business type (financial advisory), business name (exact), address, phone, website, and links to LinkedIn and the financial advisor's professional association profile.
The homepage description was rewritten. The old version: "Welcome to [practice name] personalized financial planning for every stage of life." The new version: "[Practice name] provides retirement income planning, exit strategy coordination, and investment management for business owners in [city] and the surrounding area who are planning their transition out of their companies. [Advisor name], CFP, has specialized in this transition for nine years."
This took about three hours including the homepage rewrite.
Day 5 to 7: Standardize business information
A check of every platform where the practice appeared. The business name had two different capitalizations. The address format was different on the one directory listing that existed. Phone number matched everywhere. Name and address were standardized across all platforms to one exact form.
Week 2: Content
Day 8 to 12: FAQ section
The biggest content investment of the project. Twelve questions, each answered in a complete paragraph.
The questions were drawn from two sources: the questions the advisor was most commonly asked in first calls with prospective clients, and the searches she ran in ChatGPT that her competitors were appearing in.
Sample questions written:
- "What does a financial advisor specializing in business exit planning actually do?"
- "How do I know when I'm financially ready to sell my business?"
- "What's the difference between a CFP and other types of financial advisors?"
- "How much does retirement income planning cost in [city]?"
- "What happens to my income after I sell my business?"
- "How soon before selling should I start working with a financial advisor?"
Each answer named the practice and the city. Each answer was a complete paragraph, 60 to 100 words, answering the question fully without requiring any surrounding context.
The FAQ section was added to the website's main services page.
Day 12 to 14: Add llms.txt
A plain text file was written describing the practice in two sentences, listing the six most important pages with one-line descriptions each, and including contact information and location. The file was uploaded to the website's root directory by the developer who manages the site.
Week 3: Credibility
Day 15 to 21: Google review outreach
An email was sent to the past two years of clients. The email was specific: it acknowledged the relationship, explained briefly that online reviews help new clients find the practice, provided a direct link to the Google review profile, and asked them to share their experience.
Response was strong: 19 reviews came in over the following ten days. The total went from 6 to 25. Average rating: 4.9.
The reviews were specific clients mentioned the advisor's specialty, mentioned specific outcomes, mentioned the transition process the advisor had guided them through. These are exactly the kinds of reviews AI uses to understand what a professional does and who they serve.
Day 19 to 21: Directory listings
Two listings added: NAPFA (the National Association of Personal Financial Advisors, which specifically lists fee-only advisors) and the CFP Board's advisor finder. Both are credible, well-indexed directories that AI tools treat as authoritative sources for financial professional verification.
A LinkedIn company page was created for the practice and filled in completely.
The Results at Day 30
Test prompts were run again using the same eight searches from the baseline.
- ChatGPT: Named in 1 of 8 prompts appeared for "best CFP for business owners selling their company in [city]"
- Google AI Overviews: Named in 4 of 8 prompts
- Perplexity: Named in 5 of 8 prompts FAQ content was being directly cited as a source
- Gemini: Named in 3 of 8 prompts
AI Visibility Score at Day 30: 61 out of 100.
The most telling result: Perplexity was citing the FAQ answer to "What does a financial advisor specializing in business exit planning actually do?" directly in its responses. Word for word, the paragraph written for the FAQ section was appearing as a source citation in Perplexity's response to that exact question.
At Day 60 follow-up: ChatGPT had expanded to appearing in 3 of 8 prompts. Google AI Overviews was appearing in 6 of 8. Score: 74 out of 100.
Real-world outcome reported at the 60-day check-in: two new clients who mentioned they found the practice by asking AI for recommendations in their search. Both were business owners planning an exit. Both were exactly the client type the advisor specialized in.
What Made the Biggest Difference
Three changes moved the needle most in the first thirty days:
The homepage description rewrite. Changing from a generic welcome statement to a specific description of the advisor, her specialty, and her city was the change that made the practice matchable to specific searches. Gemini and Google AI both showed improvement within two weeks of this change.
The FAQ section. Perplexity started citing the FAQ content within ten days of it being published. The answers to questions like "how do I know when I'm financially ready to sell my business" and "what's the difference between a CFP and other financial advisors" were exactly what people were asking AI and now there was a clear, citable answer on the practice's website.
The review push. Going from 6 to 25 reviews in two weeks changed the credibility picture across every platform. The review count and recency improvement was visible in Google AI and Gemini results almost immediately.
ChatGPT was the slowest to respond, as expected it runs on training data cycles rather than live web search. But by Day 60 it was reflecting the improved presence.
Frequently Asked Questions
Is 30 days a realistic timeline for most businesses? For initial citations on some platforms, yes particularly Perplexity and Google AI Overviews, which update faster than ChatGPT. The pattern in this case study is typical: Perplexity first (because it reads live web content), Google AI second, Gemini third, ChatGPT last. Full visibility across all platforms typically takes 60 to 90 days for foundational changes to be fully reflected.
What would have made an even bigger difference? A more robust content publishing plan going forward. The FAQ section was a strong start, but a business that publishes one specific, question-answering blog post per month compounds its visibility significantly over six to twelve months. This case study captured the 30-day snapshot the ongoing content work is what separates a score of 74 from a score of 90+.
How much did this cost? The time investment was approximately 12 to 15 hours across the three weeks: two hours for the Google Business Profile, three hours for the website changes, four hours for the FAQ section writing, one hour for the llms.txt, one hour for the review email, and two hours for directory listings and LinkedIn. The only external cost was the developer time for uploading the llms.txt file roughly one hour of developer time.
Did having a niche help? Significantly. The practice's specific focus on business owner exit planning meant the test prompts that matched her specialty produced very strong results early. A generalist financial planning practice competing on broad terms ("best financial advisor in [city]") faces more competition. The niche specificity was a meaningful advantage.
Nine years of deep expertise, invisible to AI. Thirty days of foundational changes, appearing in recommendations across four platforms. The work wasn't technically complex. It was specific, structured, and done in the right order.
Check your free AI Visibility Score to see where your business is starting from and what your own 30-day foundation could look like.
