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Client Work

Real systems. Real businesses. Real results.

Every engagement starts with a specific problem and ends with a working system. Here is what that looks like across industries.

Does AI recommend you? → See the work ↓
Professional Services Healthcare & Non-Profits Restaurants & Experiences
Lane 01Professional Services
Lane 01

Professional Services

For realtors, attorneys, and financial advisors, being recommended by AI is the new referral. These systems put our clients in the answer when the right person is searching.

Real Estate
An independent agent running their market on relationships. The agents beating them have a system.
Knows the market cold. Good with clients. Works hard. Probably paying for Zillow leads and a CRM that gets ignored after the first month. But 40% of the week still disappears into admin: pulling comps, formatting CMAs, manually logging contacts, chasing follow-ups that slip. Buyers in this market are asking ChatGPT for agent recommendations and getting back competitors. Not this agent. No AI search presence, no automated pipeline, no system surfacing who in their own database is ready to move.
AI Search Visibility (GEO) 3-Minute CMA Engine Voice-to-Pipeline CRM Automated Follow-Up
Key Result
CMA prep drops from 3 hours to 3 minutes, branded and client-ready. Every contact from a showing or open house logged automatically by voice. Weekly hot list surfaces who in the existing database is most likely to move. AI-cited for buyer and seller searches in the local market within weeks.
87%
of deals are lost to poor follow-up, not poor prospecting
Systems Built
AI Search Visibility (GEO)
Content and entity signals engineered so that when a buyer or seller asks ChatGPT for an agent recommendation in this market, this agent's name appears. Targets the exact queries used at the moment of decision: "best realtor in [city]," "top agent for [neighborhood]," "who should I use to sell my home in [area]."
3-Minute CMA Engine
Inputs the address and pulls comps, market data, and comparable sales automatically. Outputs a fully branded, client-ready CMA in under 3 minutes. What used to take 2 to 3 hours becomes a same-day deliverable at any point in the week.
Voice-to-Pipeline CRM
After every showing, open house, or call, the agent speaks a 30-second voice note. The system transcribes it, extracts the contact, logs it to the CRM, and creates the follow-up task automatically. No manual entry. No contacts that fall through after a busy weekend.
Automated Follow-Up + Hot List
The CRM runs a weekly intelligence pass over the existing database and surfaces who is most likely to move based on engagement signals, time since last contact, and market activity in their neighborhood. The agent starts each week knowing exactly who to call.
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Personal Injury Law
A well-established PI firm with decades of wins was invisible when injured people asked AI for a recommendation
Strong track record, recognized partners, years of case results. EvenUp building demand letters. Clio running the practice. All the right tools for a firm that already has the case. None of them address the two moments that actually determine whether the firm gets the case: when someone injured asks AI for an attorney recommendation, and when they call at 11pm on a Sunday. The firm that answers at 11pm on Sunday gets the case. This firm wasn't that firm.
AI Search Visibility (GEO) Unattached Case Intelligence 24/7 AI Intake Agent
Key Result
Nightly automated sweep of public police and court records replaces the manual weekly process. GEO visibility at $0/click vs $400 PPC for PI terms. Both systems live within 2 weeks of kickoff.
48 hrs
to flag a new potential case from public accident and police records
Systems Built
AI Search Visibility (GEO)
Entity signals and content architecture built so that when someone asks ChatGPT "best personal injury lawyer in [city]" or "who handles car accident cases near me," this firm appears. Targets the queries used at the moment someone decides to call a lawyer.
Unattached Case Intelligence
Cross-references the firm's intake list against public accident reports, ER dispatch data, and police records. Surfaces potential plaintiffs before they sign with a competitor. Flags unattached cases in the geography the firm serves within 48 hours of the incident.
24/7 AI Intake Agent
Responds to every web inquiry, missed call, and form submission instantly. Collects incident details, assesses case viability, and routes qualified leads to a live intake coordinator within minutes. Responding within 5 minutes instead of 30 drives up to 21x higher lead contact rate, per lead-response research.
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Financial Advisory & Wealth Management
An independent advisor with a real niche and no AI search presence is the best-kept secret in their market. That is not a compliment.
The tools are fine. Redtail or Wealthbox is running the CRM. The tech stack is not the problem. The problem is that 40% of the week disappears into work that does not move revenue: pulling account summaries before calls, logging notes after, drafting follow-up emails, chasing compliance touchpoints. A 100-client book managed manually is at capacity before it starts growing.

Meanwhile, the advisor has a genuine edge. A specific client they serve better than anyone. Federal employees. Business owners approaching an exit. Families navigating sudden wealth. The niche is real. But when that client types their situation into ChatGPT and asks for a recommendation, the result is a NerdWallet listicle and two wirehouses. Not this advisor.
AI Search Visibility (GEO) Meeting Prep Automation Voice-to-CRM Documentation Client Intelligence Engine Content Authority Engine
Key Result
Every client call starts with a 3-minute briefing: account summary, last interaction, open action items, relevant triggers. Post-call voice notes become CRM entries and follow-up tasks automatically. Weekly watchlist surfaces who needs outreach before they go quiet. AI-cited for the advisor's specific niche within 60 days.
40%
of advisor time goes to non-revenue work, every week
Systems Built
AI Search Visibility (GEO)
Entity signals and content architecture built around the advisor's specific niche. When someone asks ChatGPT or Perplexity "best financial advisor for federal employees" or "RIA for small business owners in [city]," this advisor appears. The first advisor cited in a specific niche captures the majority of AI-generated queries in that search space. Most niches are completely unclaimed right now.
Meeting Prep Automation
Before every client call, the system assembles a full briefing in under 3 minutes: account summary, last interaction date, open action items, relevant market news tied to their holdings, and talking points for anything time-sensitive. The advisor shows up prepared to every call, every time, with no manual research.
Voice-to-CRM Documentation
After every client interaction, a 60-second voice note becomes a structured CRM entry: contact logged, action items created, follow-up tasks scheduled. What used to take 10 to 15 minutes per call becomes automatic. At 8 calls per day, that is 80 to 120 minutes recovered daily.
Client Intelligence Engine
A weekly intelligence pass over the book surfaces the clients most likely to need outreach: market triggers affecting their holdings, inactivity thresholds approaching, life events logged in the CRM. The advisor starts each week knowing exactly who to call, before those clients start looking elsewhere.
Content Authority Engine
Produces compliance-ready LinkedIn posts and newsletter content framed around the advisor's specific niche and client persona. The advisor reviews and approves in 2 minutes. A wirehouse has a 15-person marketing team. This system closes that gap without a marketing hire.
Does AI recommend you? →
Lane 02Healthcare Practices & Non-Profits
Lane 02

Healthcare Practices & Non-Profits

Growing practices and lean development teams share the same problem: the admin work is eating the hours that should go to patients and donors. These systems fix that.

Chiropractic Practice
A growing practice losing 1 to 2 hours every day to paperwork that should take 20 minutes.
The clinical day runs tight. Already on ChiroTouch. SOAP notes faster. That part was working. Most practices think their tech problem is documentation. It isn't. ChiroTouch does not recover the call that came in during an adjustment. It does not send the reschedule text when a patient no-shows. The notes were getting done. The schedule was still leaking.
AI New Patient Intake Voice-to-Chart Documentation Missed Call Recovery + SMS Automated Appointment Follow-Up
Systems Live
New patients complete intake before they arrive. SOAP notes drafted from voice dictation in under 2 minutes per visit. Every missed call triggers an automated SMS within 30 seconds. Missed appointments trigger a same-day reschedule prompt automatically.
1-2 hrs
of daily admin overhead recovered per provider
Systems Built
AI New Patient Intake
Replaces paper forms and manual EHR entry with a conversational intake flow. The patient completes intake on their phone before the appointment. Front desk staff stops re-entering data and starts having actual conversations.
Voice-to-Chart Documentation
After each visit, the provider dictates a 60-second voice note. The system transcribes it, formats it as a SOAP note, and writes it to the chart. Average documentation time dropped from 12 to 15 minutes per visit to under 2 minutes. At 20 visits per day, that is 2 to 3 hours recovered daily per provider.
Missed Call Recovery + SMS
Every missed call triggers an automated SMS within 30 seconds with a direct scheduling link. Practices consistently lose 15 to 25 potential appointments per week to unanswered phones. This system recovers most of them without requiring a callback from staff.
Automated Appointment Follow-Up
Post-visit sequences: care instructions delivered automatically, re-booking prompts at the right interval based on treatment plan, and review requests at 48 hours for satisfied patients. The practice stays in relationship between visits without any manual outreach.
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University Foundation
Eight people managing hundreds of donor relationships the same way they did fifteen years ago.
A major university foundation with a nine-figure endowment and a small development team running Bloomerang. Clean donor records. Good data hygiene. But Bloomerang does not brief a gift officer before a $250,000 ask. It does not draft the stewardship touchpoint due three weeks after a major gift. The database was organized. The relationships were not being managed.
Donor Briefing Generator Stewardship Sequence Automation Lapsed Donor Re-engagement Monitor Portfolio Health Dashboard
Systems Live
Every major donor meeting starts with a full briefing assembled in 3 minutes instead of 90. Stewardship sequences trigger automatically after every significant gift. Weekly watchlist flags every relationship at risk of lapsing before it does.
30-90 min
of donor research per meeting, collapsed to 3 minutes
Systems Built
Donor Briefing Generator
Before every major donor meeting, the system assembles a full briefing in under 3 minutes: giving history, relationship notes, recent life events, last touchpoint, suggested ask level, and talking points tailored to that donor's known priorities. What used to take 30 to 90 minutes becomes a pre-read on the way to the meeting.
Stewardship Sequence Automation
Every significant gift triggers a personalized, tiered stewardship sequence: an impact update at 30 days, named recognition at 60 days, and a mission-connected narrative at 90 days. Each message is drafted by AI using the donor's own giving language. Development staff approves in 2 minutes and sends.
Lapsed Donor Re-engagement Monitor
A weekly intelligence pass flags donors approaching the threshold where they go cold. The development officer gets a prioritized re-engagement list every Monday morning.
Portfolio Health Dashboard
A live dashboard showing relationship status across the full donor portfolio: last contact date, gift recency, engagement score, and action needed. The development director sees every at-risk relationship at a glance.
Does AI recommend you? →
Lane 03Restaurants, Hospitality & Experiences
Lane 03

Restaurants, Hospitality & Experiences

Discovery and reputation are everything. These systems handle both: getting the right person to find you through AI first, and making sure no missed opportunity walks away without a recovery attempt.

Restaurant & Hospitality
Built on loyal regulars and real reputation. Zero presence for the customer who found you through AI first.
Well-established restaurant with real word-of-mouth and a loyal base. Already on Toast for operations. The problem was the customer who didn't know them yet: someone asking ChatGPT where to eat before leaving the house. Toast does not build AI search presence. The window to capture that customer opens before they pick up the phone, and it closes in 30 seconds.
AI Search Visibility (GEO) Missed Call Recovery + SMS Automated Review Responses
Systems Live
GEO active across ChatGPT, Perplexity, and Google AI Overviews. Every missed call triggers an automated SMS within 30 seconds, 24/7. AI-powered review responses on Google, Yelp, and TripAdvisor within minutes of posting.
73%
of consumers trust AI-generated local recommendations
Systems Built
AI Search Visibility (GEO)
Content and entity signals built so this restaurant appears when someone asks ChatGPT or Perplexity "where should I eat tonight" or "best [cuisine type] near me." The restaurant that owns the AI answer owns the table.
Missed Call Recovery + SMS
Every missed call triggers an automated SMS within 30 seconds. Most restaurants lose 20 to 35 potential covers per week to unanswered phones. This recovers the majority of them automatically.
Automated Review Responses
Every new Google and Yelp review triggers a personalized AI response within 2 hours: brand voice, specific reference to what the reviewer mentioned, and a subtle reinforcement of the restaurant's positioning.
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Helicopter Tours & Experiences
When someone asks AI what to do in New York City, a helicopter tour should be in that answer.
Premium experience business competing for high-intent NYC bookings. AI is now the first place people look for "best things to do in New York City" recommendations, and the businesses that appear capture the booking before anyone else enters the conversation. Beyond discovery, three manual processes were costing the business daily: booking abandonment, weather-day communications, and post-experience review generation.
AI Search Visibility (GEO) Booking Abandonment Recovery Weather Cancellation Automation Post-Flight Review Generation
Systems Live
GEO live across all major AI platforms. Booking abandonment triggers a personalized follow-up within minutes. Weather alerts sent proactively before staff arrive. Post-flight follow-up timed to the 60-minute window when guests are most likely to leave a review.
6-12
month head start before the market catches on
Systems Built
AI Search Visibility (GEO)
Entity signals and content built so this operator appears when someone asks ChatGPT or Perplexity "helicopter tours near [city]" or "best aerial tour experience in [region]." Experience operators have a 6 to 12 month head start before the market catches on.
Booking Abandonment Recovery
When a visitor starts a booking but doesn't complete it, an automated sequence fires: follow-up text within 10 minutes, email at 2 hours, and final reminder at 24 hours. Each message references the specific tour they were looking at.
Weather Cancellation Automation
When weather forces a cancellation, the system immediately sends a rescheduling offer, holds the deposit, and presents the next three available windows. Fully automated, no staff calls required.
Post-Flight Review Generation
Every passenger receives an automated post-flight sequence 3 hours after landing. Review volume increased 3x in the first 60 days. The AI visibility content now has the review signals to back it up.
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FAQWhat people ask before they reach out

What people ask before they reach out.

What is Digitally Native?

Digitally Native is an AI systems and AI search visibility consultancy that builds custom automation and generative engine optimization (GEO) strategies for independent businesses. Digitally Native serves clients across professional services, healthcare practices, restaurants, nonprofits, and experience operators throughout the United States.

Can a chiropractic or healthcare practice use AI to reduce administrative overhead?

Yes. AI systems for healthcare practices target four core workflows: new patient intake automation (eliminating paper forms and manual EHR entry), voice-to-chart documentation (SOAP notes from dictation in under 2 minutes per visit), missed call recovery (automated SMS within 30 seconds of a missed call), and automated appointment follow-up. Most practices recover 1 to 2 hours of administrative overhead per provider per day.

What AI tools exist for nonprofit fundraising and development teams?

Digitally Native builds four systems for nonprofit development teams: a Donor Briefing Generator that collapses 30 to 90 minutes of pre-meeting research into a 3-minute AI-assembled briefing, Stewardship Sequence Automation that triggers personalized touchpoints after every significant gift, a Lapsed Donor Re-engagement Monitor that flags at-risk relationships before they go cold, and a Portfolio Health Dashboard that gives development officers a live view of relationship status across their full portfolio.

How do I make my business appear when someone searches on ChatGPT or Perplexity?

This is called Generative Engine Optimization (GEO) or AI Search Visibility. Digitally Native specializes in GEO for independent businesses including realtors, law firms, financial advisors, restaurants, chiropractors, and nonprofits. The process builds the right content architecture and entity signals so AI models cite your business when someone asks for a recommendation in your category. Most engagements show measurable AI citation within 60 to 90 days.

What industries does Digitally Native serve?

Digitally Native serves independent businesses across real estate, personal injury and criminal law, financial advisory and wealth management, restaurants and hospitality, helicopter tours and experience operators, chiropractic and healthcare practices, and nonprofit foundations. Every engagement starts with an AI visibility scan and ends with working systems tailored to that specific vertical.

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