Real-Time Competitive Intelligence Across 100+ Brands
A major multi-brand food service franchisor operating seven nationally recognized concepts came to Velocity AI with a broken competitive intelligence process. Analysts were spending 40+ hours per cycle pulling data from news sources, Franchise Disclosure Documents, social platforms, and menus — and the intelligence was stale by the time it reached the teams making decisions. Velocity AI built a ten-category agentic intelligence system that monitors 100+ competitor brands daily and makes the intelligence queryable by anyone on the team in plain language.
Challenges
Running competitive intelligence across a multi-brand portfolio is structurally harder than running it for a single brand. Each concept has its own competitive set — the competitive pressure on a pretzel QSR comes from different directions than pressure on an ice cream brand.
Competitive analysis ran on a cycle measured in weeks — producing insights that arrived stale in a market moving on a near-weekly basis
No single system tracked the full competitive landscape — pricing, FDD filings, social, and marketing signals lived in separate places with no unified view
Intelligence was analyst-gated in both directions — brand managers couldn't ask a question and get an answer without submitting a request and waiting for a report
Seven brands with distinct competitive sets meant no one-size-fits-all solution — each concept needed its own configured intelligence layer
Our solution
Velocity AI built an agentic competitive intelligence system structured around ten discrete intelligence categories — each with its own data pipeline, structured storage schema, and AI-generated readout — with a conversational AI agent on top.
Ten intelligence categories
Intelligence Brief, Promotions & Value, Menu, Development & Footprint (with FDD tracking), Operations & Guest Experience, Loyalty & CRM, Marketing & Brand, Social Listening, Digital & Technology, and Sales & Commercial Performance — each with its own pipeline and daily refresh.
Per-brand competitive sets
Each of the seven brands has its own configured competitive set of 14–19 direct competitors. The brand selector switches the entire intelligence context — not just a filter.
AI Intelligence Readout
An AI-generated executive summary appears on every category page — grounded in published competitor events, updated daily, and scoped to the brand currently selected.
Conversational AI agent
The GoTo Agent lets anyone on the team ask plain-language questions across all ten categories simultaneously — ‘What should I pay attention to?’, ‘Compare recent competitor moves’ — and receive sourced, synthesized answers in seconds.
The results
The agentic intelligence system transformed how the organization monitors and responds to the competitive landscape:
100+ competitor brands
Monitored continuously across all ten intelligence categories — daily refresh replacing a weekly-to-biweekly manual cycle.
40+ hours → minutes
Manual analyst research cycles replaced by real-time queryable intelligence accessible to any team member.
10 intelligence categories
Each with a dedicated pipeline, structured storage schema, and daily AI Intelligence Readout — from pricing moves to FDD filings to social sentiment.
Per-brand configuration
14–19 direct competitors configured per brand across seven concepts — each brand team sees only the intelligence relevant to their competitive set.
Natural language access
The conversational AI agent makes the full intelligence dataset queryable by brand managers, strategy leads, and executives without SQL or analyst intermediaries.