The Loop, end to end. Six stages. One brand kernel.
What an Agentic OS for commerce actually does. Each stage below maps to one node on the diagram. BRAIN feeds context inward, FIND audits outward, the cycle repeats, and your context compounds.
What ShopthruAI knows about Your Brand.
Every specialist reads from one Brand Card. Every fix writes back. Your brand’s context deepens with every audit, already yours today.
Four agents. Nine AI surfaces. The Brain tells them what to ask.
Audit every provider, every query, every competitor, from ChatGPT and Claude to Amazon Rufus and Apple Intelligence. 275,808 probes per cycle. Brain provides: query templates · competitor maps · drift baselines.
Probes 9 AI surfaces across 221 query templates per SKU
Tracks every time AI recommends a competitor, with displacement reasons
17-rule drift detection · JSON-LD validation · GEO readiness scoring
ChatGPT sponsored-placement tracking · SoV · cannibalization detection
Five specialists rank what to fix. By simulated impact, not by alphabet.
Every gap that FIND surfaces becomes a ranked action, sorted by predicted lift, not opinion. The Brain feeds in patterns from across the network; the queue stays yours.
Simulate before you ship. Against five personas. Cross-brand patterns. Causal lift.
One agent. Five synthetic buyers. Four providers. $6–8 per experiment. No agency runs this.
“What if we raise price 10%? Rewrite the FAQ? Swap the hero image?” The OS runs it against the AIs, validates what moved the needle, ships only what works.
“best wireless earbuds under $100 for running”
Best overall ANC under $100
Best for calls and music
Best bass for workouts
Your brand is not mentioned.
“best wireless earbuds under $100 for running”
Best overall ANC under $100
Best sweat resistance, runner-rated
Best bass for workouts
Each simulation runs against all 5 buyer personas.
You approve the diff. Then it ships.
Only changes that cleared simulation against five personas, four providers, and a positive causal-lift threshold ever reach this card. Everything else stays in the queue.
Weekly audits catch drift. Before your competitor does.
AI providers update their rankers. Schema specs evolve. Competitor placements shift. MONITOR re-runs the audit weekly, diffs against your last cycle, and flags anything that moved more than your tolerance.
- ↑WF-C700N visibility +6 on Perplexity for "running earbuds"
- ↓Schema warn: AggregateRating.reviewCount must now be string
- ⚠NEW: Bose QC Ultra entered comparison set on ChatGPT
- ↑+14% mention rate on "running earbuds" after FAQ ship
- ↑JSON-LD breadcrumb fix landed → +3 on Gemini
- ·Sponsor diff stable across 4 providers
- ↑FAQ schema fix shipped, simulating
- ·No drift detected (within ±2 tolerance)
The Loop is the moat. Yours, compounding.
Rivals can copy a tactic. They can’t copy a year of your audit history, your simulation memory, your personas tuned to your buyers. Every cycle you run, your brand gets harder to displace.
Tier 1 · Your Brand Card
Your private kernel. Voice atoms, banned claims, SKU rivalries, personas, simulation baselines. Yours from day one, deepens with every audit cycle.
- 312 SKUs probed across 4 providers
- 47 voice atoms · 23 banned claims
- 340 simulation baselines anchored
- Portable, auditable, always yours
Tier 2 · Your Simulation Memory
Every fix you ship writes back. Every shadow simulation becomes a baseline. Your next what-if runs on top of your last hundred.
- Each audit cycle thickens your context
- Each shipped fix anchors a new baseline
- Each persona simulation tunes the next
- Rivals copy tactics, not a year of your history
Book a 30-minute Loop walkthrough.
We’ll run the first measurement live. No deck.