Ecom intel

Ecom intel

Peec data for non-GEO ecommerce: shopping whitespace, PDPs, chat-mined products.

The distinctive non-GEO Peec use case. Shopping-query whitespace vs. competitors, competitor PDP scrape watch, AI-chat product mining, new-category-page keyword clusters, shopping-intent sentiment.

For ecommerce merchandisers and category managers, not MCP operators - the 5 Peec tool calls behind every panel are already chained.

For:In-house brandAgency activatorEnterpriseDepartment user
app.peecockpit.pro/ecom-intel
Shopping whitespace
42
tracked shopping prompts
Competitor PDPs
18
under watch
Chat-mined products
23
surfaced by AI
New category clusters
7
head-noun bucketed
+22% week over week
across tracked clusters
Shopping whitespace
42
tracked shopping prompts
Competitor PDPs
18
under watch
Chat-mined products
23
surfaced by AI
New category clusters
7
head-noun bucketed
What it does

Why this surface exists.

Workflow

The chain that runs behind the page.

4-step composite. Every tool call is logged for the tracked_id audit.

1
Pull shopping queries

Peec list_shopping_queries surfaces the shopping-intent fan-out per tracked cluster.

Peec · list_shopping_queries
2
Mine chats

Peec list_chats + get_chat produce the PDPs and brand names AI references even when we're not the answer.

Peec · list_chatsPeec · get_chat
3
Watch competitor PDPs

Peec get_url_content + Firecrawl scrape competitor PDPs; a diff agent flags price / spec / claim edits.

Peec · get_url_contentFirecrawl
4
Cluster new categories

Head-noun bucketing groups long-tail search queries into new-category-page candidates (BERTopic is the v2 upgrade).

Peec · list_search_querieshead-noun bucketer
Datasources used

Where the numbers come from.

Each datasource has a provenance chip on the live dashboard, so you always know whether a number came from a live MCP call, a cached snapshot, or a fallback.

Peec AI MCP
Citation
Citation

Citations, share of voice, sentiment, search-query fan-out, prompt suggestions.

Brand mentions per model · per clusterShare of voice deltasCited URLs + url_classificationsearch_queries fan-out
GA4 / Adobe / PostHog
Revenue
Revenue

Sessions, engagement, conversion, revenue, segmented by canonical AI source.

AI-referral sessions by sourceConversion rate · AOV · time-to-convertRevenue per AI-cited pageSampling flag above ~10M events/day
Reach
Reach

Impressions, clicks, average position by query and page.

Top queries per URLImpressions vs clicks (zero-click gap)28-day position driftDecay candidates split-window
Related

Where this connects.

Join the early-access list

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