BECOME THE SOURCE.
NOT JUST AN ANSWER.
The Firestarter SOURCE™ Framework turns your business data into original research, authority assets, and content that customers, search engines, and AI platforms trust — generating leads, not just visibility.
FIND THE RESEARCH IN YOUR DATA
We’ll identify what data you already own, what research it can produce, and where competitors are being cited instead of you.
No obligation. Results delivered within 5 business days.
Source Data Mine insights from your existing tools
Original Insights Findings no competitor can replicate
Unique Assets Research AI systems want to cite
Citations & Expansion Distribute until AI can’t ignore it
AI CHANGED THE GAME.
MOST AGENCIES MISSED IT.
When someone asks ChatGPT, Perplexity, or Google AI Overviews who to hire for HVAC in Denver, they get an answer — not a list of links. That answer is built from content AI systems were trained to trust.
Most businesses are trying to optimize their way into AI answers. The companies that will win are doing something different: they’re creating the original data that AI systems cite in the first place.
SIX PILLARS THAT TURN YOUR DATA
INTO UNDENIABLE AUTHORITY
The only GEO methodology built on real lead, call, and revenue data from 150+ active campaigns. Each pillar is independently scorable with a defined implementation protocol.
Identify proprietary information already inside your business — in call tracking, CRM, service software, and analytics. Most businesses are sitting on 12–24 months of citable data they don’t realize is research-grade. Every SOURCE™ engagement begins here: auditing what exists before recommending what to create.
Analyze the data to uncover trends, patterns, and benchmarks no competitor can replicate. Seasonality. Conversion benchmarks. Cost studies. Weather correlations. The difference between a call report and a market study is the analysis layer — and that layer is what makes findings citable by AI systems, journalists, and industry publications.
Package insights into authoritative assets AI systems, journalists, and industry publications want to reference. Not blog posts — research reports, benchmark studies, case studies with named outcomes, and comparison guides. One cornerstone asset per quarter minimum, built with full schema markup and a transparent methodology section.
Publishing is not enough. AI systems weight content confirmed across multiple trusted, independent sources far more heavily than single-source content. One asset needs to become 20+ references — PR, partner websites, LinkedIn, Reddit, industry publications, and podcasts — until your study is impossible to ignore.
Earn references from AI engines, search engines, journalists, bloggers, and industry partners. We track citation frequency across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews monthly — and report on citation share versus your top competitors. The goal isn’t AI mentions — it’s AI mentions that generate branded searches, calls, and leads.
One research report becomes the foundation for compounding authority. 10 blog posts. 20 social assets. Multiple case studies. Sales enablement tools. Annual data refreshes that keep recency signals strong. Businesses that consistently execute Expansion become the permanent reference source in their category.
HVAC EMERGENCY CALL SURGE WHEN TEMPS DROP BELOW 15°F
Built from 2,437 service calls across 18 months combined with NOAA weather data — producing 14 citable statistics about Denver HVAC demand patterns no competitor could replicate.
WINDOW REPLACEMENT INQUIRY SURGE FROM FEBRUARY TO MAY
From 1,923 qualified CallRail calls over 24 months, this demand report surfaced seasonal patterns, source quality benchmarks, and time-of-day insights that drove three earned media placements.
MORE AI CITATIONS FOR LEGAL SITES PUBLISHING CASE STUDY DATA
Aggregated across 12 legal client campaigns, this benchmark revealed that publishing case studies with settlement or revenue figures dramatically increases AI citation frequency in the legal vertical.
THE SOURCE™ PROCESS:
SIX STAGES TO AUTHORITY
From data audit to live research asset — with distribution, entity optimization, and monthly AI visibility reporting built into every engagement.
SOURCE DATA
Audit CallRail, GA4, GBP, and service software. Map every data source the client owns.
ORIGINAL INSIGHTS
Export, clean, and analyze. Layer in weather and trend data. Surface 15+ citable findings.
UNIQUE ASSETS
Build the cornerstone research page with full schema, methodology, and AI-targeted FAQ.
REINFORCEMENT
Distribute through 20+ channels. PR, Reddit, LinkedIn, media, partners. 1 asset → 20+ references.
CITATIONS
Monthly AI visibility tracking across all 5 platforms. Citation share vs. competitors monthly.
EXPANSION
Turn each study into blog posts, social content, sales tools, and the next research cycle.
YOUR BUSINESS IS ALREADY GENERATING
CITABLE RESEARCH
You don't need a research budget or a data science team. The proprietary insights are sitting inside the software you're already paying for.
CallRail
Call volume by month, day, and hour. Source quality benchmarks. Organic vs. paid duration comparison. Seasonal demand patterns hidden inside 12–24 months of call data.
ServiceTitan / Housecall Pro
Job type frequency, equipment failure rates, repair trends by season, revenue per service category, and geographic demand patterns by zip code.
GA4 & Search Console
Traffic seasonality, conversion rate by channel and season, branded vs. non-branded search trends, and demand patterns that reveal when buyers are actively researching.
Google Business Profile
GBP call volume, direction requests, and website clicks by month. Local demand trends no national competitor can replicate — unique, local, and AI-citable.
HubSpot / Salesforce
Lead-to-close benchmarks, deal stage conversion rates, seasonal pipeline trends, and revenue attribution that turns internal sales data into publishable industry benchmarks.
Weather & Trend Data
NOAA temperature data, Google Trends, and housing permit data — layered against your call and job data to create market-level findings no competitor can claim.
THE SOURCE™ AUTHORITY PROGRAM
Three ways to implement the SOURCE™ Framework — from entry-level audit through a full quarterly research engine.
- AI citation audit — ChatGPT, Gemini, Claude, Perplexity, AI Overviews
- Competitor citation share analysis on category queries
- Data source audit — identify research hiding in your tools
- Entity audit — schema, author pages, Knowledge Graph gaps
- Content opportunity map by intent type
- Prioritized SOURCE™ action plan with quick wins
- Everything in the Audit, plus:
- Data extraction from CallRail, GA4, CRM, service software
- Analysis + 15+ citable statistics identified
- Cornerstone research asset built and published with full schema
- Major case study with named client outcomes
- Comparison and FAQ expansion pages
- Entity optimization — all five schema layers
- Distribution to 20+ channels (PR, Reddit, media, partners)
- Monthly SOURCE™ Visibility Report
- Everything in the Core Program, recurring quarterly
- New citable research asset every quarter
- Industry benchmark report using aggregated data
- Customer survey design and deployment
- Annual flagship study for your vertical
- Competitor citation monitoring
- Monthly SOURCE™ Intelligence Dashboard
- Quarterly data refresh for all live assets
WE DON’T REPORT VANITY METRICS
AI citation frequency without business outcomes is noise. Every metric we report traces back to a lead, a call, or a revenue event.
- Your brand appeared in 14 AI responses this month
- AI Overviews impressions increased 22%
- We added structured data to 47 pages
- Content was “optimized for AI readability”
- Your GEO score improved from 61 to 74
- AI citation frequency on 20 target prompts across 4 platforms
- Branded search volume trend driven by AI mentions
- Organic calls and leads attributed to research assets
- Citation share vs. your top 3 competitors on category queries
- Referring links earned from distribution placements
- AI-referred traffic conversion rate vs. other organic channels
EVERYTHING YOU NEED TO KNOW
ABOUT SOURCE™
No. A well-documented study of 200–500 data points is often more valuable than a weak study of 5,000 — because it’s unique, local, and tied to real outcomes. A window company with 18 months of CallRail data can produce a legitimate benchmark report. What matters is uniqueness and transparency about methodology, not dataset size.
Brands typically see first AI citation activity within 8–12 weeks of publishing and distributing a cornerstone research asset. Consistent citation across multiple platforms develops over months 3–6 as distribution reaches critical mass. This varies by industry competition and how aggressively the Reinforcement pillar is executed.
Traditional SEO optimizes existing content to rank better. SOURCE™ creates original, data-backed research that AI systems are trained to cite as evidence — then distributes it until it’s confirmed across enough independent trusted sources that AI can’t ignore it. The output is being the source, not just being cited by one.
Yes — and local service businesses have a significant structural advantage. Local market data is inherently unique and underrepresented in AI training data. When you publish “Denver HVAC Emergency Trends 2026” built from 2,437 real service calls, no national competitor can replicate that study. Our strongest SOURCE™ results come from exactly these verticals.
A free SOURCE™ Audit covers three things: (1) AI Visibility Check — we run 10–15 target prompts across ChatGPT, Perplexity, Google AI Overviews, and Claude to document where you and your competitors currently appear. (2) Data Source Inventory — we identify what research-grade data you already own in CallRail, GA4, GBP, and your CRM. (3) Opportunity Report — a one-page summary of your highest-impact research angle and what it would take to execute. Delivered within 5 business days, no obligation.
SOURCE™ is Firestarter’s proprietary six-pillar methodology: Source Data (identify proprietary data inside the business), Original Insights (analyze and find citable findings), Unique Assets (package into cornerstone research), Reinforcement (distribute until AI sees it everywhere), Citations (earn references from AI engines, search, and press), and Expansion (compound authority over time). It’s the only GEO methodology built on real lead, call, and revenue data from 150+ active campaigns.
LET’S FIND THE RESEARCH
HIDING IN YOUR DATA.
Request a free SOURCE™ Audit. We’ll identify which data you already own, what research it can produce, and where your competitors are being cited instead of you.