Competitive intelligence, weekly, automated.

How the Intelligence team crawls your category

Every Sunday night, the Intelligence team kicks off a competitor sweep. You give it a list of URLs: competitor storefronts, brand pages, product directories. The agent crawls public product pages, images, descriptions, and published pricing. It captures SKU counts, category distribution, price ranges, and promo frequency. For social profiles, it pulls post volume, engagement rates, follower velocity, and top-performing content formats. The crawl runs headless, respects robots.txt, and finishes in under two hours for twenty competitors. Raw data lands in the Intelligence workspace by Monday morning. No browser tabs. No manual screenshots. No analyst pulling weekend shifts to build a deck.

Assortment depth, pricing gaps, engagement velocity

Raw HTML means nothing without context. The Intelligence team scores each competitor across three dimensions. Assortment depth: SKU count by category, new-product velocity, seasonal refresh rate. Pricing position: median price per category, discount frequency, bundle prevalence. Engagement velocity: social post cadence, average likes per post, comment sentiment, share rate. Each dimension gets a 0 to 100 score. The system benchmarks your brand against the category median and flags outliers. If a competitor just launched forty new SKUs while you shipped three, you see it. If someone dropped prices fifteen percent across a category, you see it Monday morning. Marketing competitor analysis becomes a weekly reflex, not a quarterly scramble.

One page, three actions, zero fluff

The Intelligence agent synthesizes crawl data into a single-page strategic brief. Top section: category snapshot with median assortment size, average price, and engagement benchmarks. Middle section: your position relative to median across all three dimensions, with red flags for gaps wider than twenty percent. Bottom section: three ranked actions for the next seven days. Action one might be launch a pricing test in the category where you are eighteen percent above median. Action two could be commission ten SKUs in the underserved segment where competitor X just added thirty. Action three might be double posting frequency on the channel where competitor Y is seeing forty percent higher engagement. Each action includes expected impact and effort estimate. The brief lands in Slack and email every Monday at 8 a.m.

L0 review to L4 auto-execution

You control how much the Intelligence team runs on its own. At L0, the agent crawls and scores but waits for you to approve the brief. At L1, the brief publishes automatically but actions still need a click. At L2, low-risk actions like updating an internal tracking sheet execute without approval. At L3, the system can trigger a Scout research mission or a Creator brief based on competitor movement. At L4, competitive intelligence software closes the loop: if a competitor launches a promo, the system drafts a counter-campaign, routes it to the Operator team, and queues it for publish pending your final review. Most teams start at L1 and climb to L3 within four weeks once they trust the quality of the actions.

• L0: manual review of every brief
• L1: auto-publish brief, approve actions
• L2: auto-execute low-risk tracking
• L3: trigger Scout and Creator missions
• L4: draft and queue counter-campaigns

When the Intelligence team escalates to you

The agent knows what it does not know. If a competitor site blocks the crawl, the system flags it and suggests a manual check. If sentiment analysis confidence falls below seventy percent on a review batch, it surfaces the raw text for human review. If two competitors make contradictory moves in the same week, the brief presents both scenarios and asks you to pick a strategic direction. The Recommended Action layer ranks every escalation by leverage: high-leverage decisions that could shift quarterly revenue come first, low-stakes confirmation requests sit at the bottom. You spend ten minutes reviewing the brief, not ten hours building it. AI competitor tracking handles the grind so you handle the judgment calls.

Connect Intelligence to Scout, Creator, Operator

The Intelligence team does not live in a silo. When it spots a competitor launching a new product line, it can trigger a Scout mission to research customer demand in that segment. When pricing data shows a gap, it can route a brief to the Creator team to draft messaging that justifies your premium or highlights your value. When a social engagement spike happens, the Operator team gets a signal to test similar content formats in your next publish batch. Brand monitoring AI becomes the input layer for your entire marketing operating system. Competitive insights flow directly into campaigns, content, and seller outreach. No copy-paste between tools. No deck forwarded to three teams hoping someone reads it. Intelligence findings become executable work in under sixty seconds.