— Applied AI Marketing
Portfolio
See how LOGIC applies AI-powered marketing systems to improve branding, websites, content, search visibility, lead follow-up, reporting, and automation for different types of businesses.
— Examples
Six business types
— Home Services Company
NorthPeak Home Services
🇺🇸 Charlotte, NC
— Professional Services Firm
Halden & Roe Advisory
🇨🇦 Toronto, ON
— Clinic or Healthcare Provider
Meridian Health Clinic
🇺🇸 Los Angeles, CA
— Real Estate or Development Business
Harbourline Developments
🇨🇦 Vancouver, BC
— B2B Service Company
Axiom Field Systems
🇺🇸 Austin, TX
— SaaS & Technology Company
Cascadia Labs
🇺🇸 Seattle, WA
— Home Services Company · 🇺🇸 Charlotte, NC
NorthPeak Home Services
Family-owned residential HVAC, plumbing, and electrical company serving the greater Charlotte metro and surrounding Carolina counties.
What Was Slowing Growth Down
The website was eight years old and looked it. Service pages were thin, the phone number was buried, and Google was sending traffic to a homepage that did not match what people were searching for. Quote requests came in through three different places — the contact form, voicemail, and direct calls — and nobody was sure which got followed up first. Social posts happened in bursts whenever the owner had a free evening, and reviews were only collected when a tech remembered to ask. The business was growing, but the marketing was running behind every other part of the operation.
Where AI Could Help
AI could accelerate the volume of work that local home services marketing actually requires: writing service-by-city pages at scale, drafting seasonal content (spring AC tune-ups, winter heating checks), generating first drafts of quote follow-up emails and texts, summarizing job completions into review request messages, and turning monthly inquiry data into a plain-English report the owner can read in two minutes. None of it replaces the technicians or the office — it removes the bottleneck of small writing and reporting tasks that nobody had time for.
What LOGIC Built
Rebuilt website with one clear page per service per city, structured for local search
Service messaging that leads with what customers actually search for, not industry jargon
Quote follow-up sequence: same-day text, 24-hour email, 3-day check-in
Review request workflow triggered when a job is marked complete in the field system
Monthly content calendar with AI-drafted, human-reviewed seasonal posts and blog articles
Inquiry tracking that tags each lead by source so the owner can see what is actually working
One-page monthly report covering inquiries, sources, reviews collected, and content shipped
How the System Works Now
A homeowner searching for a specific service in a specific city lands on a page that matches both. They submit a quote request or call. Within hours they get a real response, and if they go quiet, a short follow-up brings them back in. After the job is done, a review request goes out automatically. Every inquiry is tagged by source, and the owner gets a single monthly report instead of trying to piece it together from three different tools.
Business Impact
Marketing stops depending on whether the owner had time last week. The website does more of the heavy lifting, follow-up happens whether or not someone remembers, reviews accumulate steadily, and the business has a clear picture of where work is actually coming from. The office team gets hours back every week that used to go into copy-paste email replies and chasing down post-job review requests.
Outcomes the System Is Designed to Produce
A website that matches how customers actually search
Faster, more consistent quote follow-up
A steady stream of reviews without manual chasing
Clarity on which channels are producing real work
What This Means for Similar Businesses
If your business depends on local leads, your website, search visibility, reviews, content, and follow-up process need to work together. AI can help speed up execution, but the real value comes from building a system around the way leads are created and handled.
— Professional Services Firm · 🇨🇦 Toronto, ON
Halden & Roe Advisory
Independent advisory firm working with founder-led companies on operations, finance, and growth strategy through transitions and scaling moments.
What Was Slowing Growth Down
The partners knew their work was strong — referrals proved it. But the website read like a brochure: dense, generic, and indistinguishable from the dozen other advisory firms a prospect would visit the same week. There was no content showing how the firm actually thought about problems, no clear way to understand pricing or engagement structure, and no system for capturing the lower-intent prospects who were not yet ready to book a call. The firm was leaving qualified inbound demand on the table because the website was not doing the pre-sales work.
Where AI Could Help
Advisory firms have a specific challenge: their thinking is their product, and that thinking exists mostly in conversations, notes, and slide decks. AI can transcribe and structure partner interviews into outlines, draft long-form articles from those outlines, repurpose one article into a LinkedIn post and a follow-up email, and extract the questions clients actually ask into a useful FAQ. Partners stay in the role of expert and editor — AI handles the work of turning their thinking into shippable content.
What LOGIC Built
Refined positioning: who the firm is for, what it changes, and what working together actually looks like
Service pages rebuilt around the situations clients are in, not the methodologies the firm uses
Content engine: monthly partner interviews turned into articles, LinkedIn posts, and newsletter sends
Long-form library answering the questions prospects ask in the first call
Lead intake form that qualifies on revenue, stage, and situation before booking time
Light CRM setup so the team can see every inquiry, source, and status in one place
How the System Works Now
A prospect arrives from a referral or search, finds a service page that describes their situation in their language, reads an article that demonstrates how the firm thinks, and either books a qualified intro call or joins the newsletter for later. The partners spend 30 minutes a month being interviewed, not eight hours writing. Every inbound inquiry lands in one place, qualified, with context.
Business Impact
The website now does what the partners used to do on first calls: explain the work, demonstrate the thinking, and qualify the fit. Calls that do happen are warmer and more relevant. The firm has a growing library of content that compounds — every article keeps working long after it ships.
Outcomes the System Is Designed to Produce
Positioning that distinguishes the firm from generic competitors
A repeatable way to turn partner expertise into content
Warmer, better-qualified intro calls
A library of work that keeps generating inquiries over time
What This Means for Similar Businesses
If your business sells expertise, your marketing needs to explain your value before the first conversation. AI can help turn knowledge into useful content, but it still needs strategy, structure, and quality control.
— Clinic or Healthcare Provider · 🇺🇸 Los Angeles, CA
Meridian Health Clinic
Multi-provider primary care and wellness clinic offering family medicine, women's health, and integrative care across two LA locations.
What Was Slowing Growth Down
The website had not been updated since the second location opened. New patients could not tell which providers worked where, whether the clinic took their insurance, or how to actually book — the contact form went to a shared inbox that two different staff members checked sporadically. The front desk was fielding the same five questions dozens of times a day, and the clinic's strong patient education content lived only inside the exam room. Reviews trickled in when patients took the initiative, but there was no consistent process behind any of it.
Where AI Could Help
Clinics generate the same conversations every day — about services, insurance, providers, preparation, and follow-up. AI can capture those conversations and turn them into structured website content, FAQs, and email templates that handle the repetitive work before patients ever pick up the phone. Provider voices are preserved by drafting from clinician notes and reviewing every piece before publication, which keeps the clinical voice intact and protects patient trust.
What LOGIC Built
Restructured website with clear pages per service, per location, per provider
Comprehensive FAQ covering insurance, booking, what to expect, and prep instructions
Local SEO pages built around the way patients search by service and neighborhood
Standardized intake response templates so every inquiry gets the same quality reply
Review request workflow triggered after each visit, with clear opt-out language
Patient education library drafted with AI and signed off by the clinical team
Monthly summary report showing inquiries, bookings, and review volume by location
How the System Works Now
A prospective patient lands on a service page that explains exactly what the clinic does, who provides it, where, and how to book. The questions front-desk staff used to answer one at a time are now answered on the page. Inquiries go to a single inbox with templated responses. Patients who complete a visit get a review request a day later. Providers contribute clinical voice to a content library that keeps growing.
Business Impact
Front-desk hours stop disappearing into the same questions. The website becomes the first line of patient education, not the contact form. Reviews accumulate steadily across both locations, and the clinical team has a reliable channel for the education work they already do — without writing being added to their job description.
Outcomes the System Is Designed to Produce
Fewer repetitive questions hitting the front desk
A consistent intake experience for every new patient
Steady review growth across both locations
A content library that supports the clinical team instead of competing with it
What This Means for Similar Businesses
If your team keeps answering the same questions manually, your website and workflows are not doing enough work for you. AI can help create clearer content and faster processes when it is built around the patient or customer journey.
— Real Estate or Development Business · 🇨🇦 Vancouver, BC
Harbourline Developments
Mid-rise residential and mixed-use development firm with active projects across Metro Vancouver and the Fraser Valley.
What Was Slowing Growth Down
Each project had its own landing page, its own brokerage materials, its own ad campaigns, and its own ad-hoc inbox — none of it talking to each other. Marketing assets were scattered across three agencies, two brokerages, and the developer's own internal team. Buyer inquiries arrived through five different channels and were tracked, when they were tracked at all, in a spreadsheet. Campaign performance was a quarterly debate because nobody could tell which channel had actually produced which deposit.
Where AI Could Help
Development marketing requires producing a lot of project-specific content quickly: floorplans, neighborhood guides, sales updates, investor briefs, and follow-up sequences — all repeated for every project, every release, every milestone. AI can take a single project brief and turn it into landing page copy, ad headlines, investor email drafts, social posts, and FAQ content, with the sales and marketing leads reviewing and approving before anything ships. The brand voice stays consistent across projects because the source brief stays consistent.
What LOGIC Built
Standardized project landing page template, deployable per project in days, not weeks
Clarified messaging hierarchy: project, neighborhood, lifestyle, investment thesis
Inquiry forms with qualification fields (timeline, financing, buyer type) feeding one CRM
Follow-up sequencing per buyer type — end-user, investor, broker
Content workflow producing campaign assets, social, and email from a single project brief
SEO-aware page copy targeting how buyers actually search by project name and neighborhood
Campaign reporting unified across paid, organic, brokerage referrals, and direct inquiries
How the System Works Now
Every project launches off the same proven template, with messaging and assets generated from one source brief. Inquiries land in a single CRM, qualified at submission, routed to the right person with the right follow-up sequence. The marketing team produces in a week what used to take a month, and reporting shows — by project and by channel — what is actually producing qualified buyers.
Business Impact
Project launches stop being a scramble. The sales team gets a clean, qualified pipeline instead of a fragmented inbox. Marketing spend is finally tied to outcomes, project by project, so the next launch makes better budget decisions than the last one.
Outcomes the System Is Designed to Produce
Faster, more consistent project launches
A single qualified pipeline instead of fragmented inquiries
Marketing assets produced in a fraction of the time
Clear visibility into what is actually driving deposits
What This Means for Similar Businesses
If your offer requires trust, clarity, and follow-up, your website and lead process need to do more than look good. AI can help speed up the supporting marketing work, but the project still needs strong messaging and structure.
— B2B Service Company · 🇺🇸 Austin, TX
Axiom Field Systems
Field operations software and managed services for mid-market B2B teams in utilities, telecom, and infrastructure.
What Was Slowing Growth Down
The product was technical, the sales cycle was long, and the marketing was carrying almost none of the weight. The website explained features but not outcomes, demos got booked but most leads went cold between the first call and the third, and there was no real content program — just an occasional LinkedIn post from the founder. Sales reps were rebuilding the same explainer decks over and over, and there was no shared library of case material, objection responses, or industry-specific talking points to lean on.
Where AI Could Help
B2B sales cycles are won and lost in the gaps between conversations. AI can fill those gaps by drafting nurture emails tuned to where a lead is in the cycle, turning customer conversations into vertical-specific landing pages, generating LinkedIn posts from product and operator interviews, and producing internal sales enablement (objection libraries, vertical decks, ROI talking points) at a pace the team could never sustain by hand. Everything is reviewed by a marketer or sales lead before it ships.
What LOGIC Built
Repositioned messaging from feature-led to outcome-led for each buyer persona
Vertical-specific landing pages (utilities, telecom, infrastructure) with proof and use cases
Founder and operator LinkedIn workflow producing 2–3 posts per week with AI drafting and human review
Long-form article cadence tied to common buyer questions, deepening organic search footprint
Multi-touch lead nurture sequence after first contact: weekly value, monthly check-in, quarterly review
Sales enablement library: objection responses, vertical decks, ROI talking points, demo scripts
Pipeline reporting tying marketing activity to opportunities, by source and vertical
How the System Works Now
A buyer in one of the three target verticals arrives on a page built for their situation, sees credible proof, and either books a demo or enters a nurture that keeps them warm for the months it takes to close. Sales reps walk into every call with the right deck, the right talking points, and the right follow-up already drafted. Marketing and sales share one view of pipeline so investment decisions are grounded in what is actually producing opportunities.
Business Impact
The marketing program finally matches the complexity of the sales cycle. Leads stay engaged through long evaluation periods, sales reps spend less time rebuilding materials and more time selling, and the company has a defensible content position in three specific verticals instead of a generic SaaS-style website.
Outcomes the System Is Designed to Produce
Messaging tuned to each target vertical instead of one generic pitch
Leads that stay warm through a long, multi-stakeholder cycle
Sales reps equipped with current, consistent materials
A clear view of which marketing investments are producing pipeline
What This Means for Similar Businesses
If your sales process depends on trust and education, your marketing needs to support the buyer before and after the first conversation. AI can help make that support more consistent and efficient.
— SaaS & Technology Company · 🇺🇸 Seattle, WA
Cascadia Labs
Product-led SaaS company building analytics and workflow tools for mid-market operations and data teams across North America.
What Was Slowing Growth Down
The product was strong and trial sign-ups were steady, but the marketing site was a list of features instead of a guide for buyers. New visitors could not quickly tell what Cascadia was for, who it served, or how it compared to the tools they already used. Trial-to-paid conversion was leaking — most users never saw the workflows that actually showed value — and the team had no consistent lifecycle program to bring them back. Content shipped in waves whenever the founders had a free week, and search visibility was thin against well-funded competitors.
Where AI Could Help
Product-led SaaS lives or dies on the quality of the buyer journey and the lifecycle around it. AI can accelerate the supporting work: turning customer calls into use-case pages, drafting onboarding emails tuned to behavior signals, generating comparison and integration pages at scale, summarizing release notes into customer-facing announcements, and producing the long tail of SEO content that competes for buyer intent. The product team stays focused on the product; AI removes the bottleneck on the marketing surface around it.
What LOGIC Built
Repositioned homepage around the jobs Cascadia is hired to do, not the feature list
Use-case pages built from real customer conversations, one per primary workflow
Comparison and integration pages targeting high-intent buyer searches
Onboarding email sequence triggered by in-product activation milestones
Trial-to-paid lifecycle program with behavior-based nudges and revival sequences
Content engine producing weekly articles and release announcements with human review
Funnel reporting tying acquisition source to trial, activation, and paid conversion
How the System Works Now
A visitor lands on a page that names their workflow and shows how Cascadia solves it. Trial sign-up flows into an onboarding sequence that responds to what the user actually does in the product. Users who stall get nudged with the right content at the right moment, and the team can see — by source and by cohort — where conversion is improving and where it is not. Content ships on a weekly cadence instead of in bursts.
Business Impact
The marketing site finally pulls its weight in the buyer journey, trial users see value sooner, and conversion to paid improves at every stage of the lifecycle. The team stops debating which channel is working and starts seeing a clear picture across acquisition, activation, and expansion.
Outcomes the System Is Designed to Produce
Messaging tuned to buyer jobs instead of product features
Higher trial-to-paid conversion through better lifecycle automation
A growing library of use-case, comparison, and integration content
Clear visibility from first touch through paid conversion
What This Means for Similar Businesses
If your product depends on a strong self-serve experience, your marketing site and lifecycle program need to do as much work as the product itself. AI can help produce the surrounding content and automation at the pace a modern SaaS buyer expects.
Want to see what this could look like for your business?
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