The data you can query: your proprietary business signals

One data spine, four surfaces

Everything below is available identically to the Assistant, the Insights deep-dives, your MCP endpoint and the CLI — because they all call the same tool set over the same first-party data spine. Access is scoped and redacted by the caller's access policy.

Analytics & funnels

First-party, cookieless web analytics: visitors, leads, conversions and revenue in funnel order, plus segment cuts and trends. Tools: get_analytics, get_analytics_segment, get_analytics_trend, get_funnel_analysis, list_goals, list_funnels. The AI cites the metric, timeframe and source — it never invents figures.

Heatmaps & session replay

In-house click/scroll heatmaps and rrweb session replay (Pro). Tools: get_heatmap_pages, get_heatmap_summary (most-clicked elements, rage/dead clicks, scroll reach), list_session_recordings, and `analyze_session_recording` — which turns a raw recording into a behavioural narrative the AI can reason over. Ask it to review your most frustrated sessions and it will tell you exactly where people rage-click or abandon.

CRM & identity graph

The contact identity graph stitches anonymous visitor → email → customer. Tools: list_contacts, list_leads, get_contact_timeline (a person's full journey), get_visitor_journey (an anonymous visitor's journey). Writes (create/update leads, log activity) are gated and, where they send, approval-gated.

Company enrichment

Identify the companies behind anonymous B2B visitors and enrich contacts with firmographics (industry, size, revenue band, location). Tool: get_company_enrichment. Paid-plan, policy-gated on the enrichment data class.

SEO, ads & social

get_seo_insights (Search Console top queries + striking-distance keywords), get_ads_stats (Meta + Google spend/ROAS tied to first-party revenue), get_social_stats (organic follower + engagement stats), plus audience tools (list_audiences, create_audience, sync_audience) to build and push segments to ad platforms.

The company brain

search_company_brain searches a durable knowledge library built from past conversations, SOPs and connected Slack/Gmail/Docs — so the AI recalls prior decisions instead of re-asking. web_research (Tavily) covers anything outside your own data, with citations.

Example prompts

• "Analyze the checkout funnel and show me the biggest drop-off step with the numbers."
• "Watch our three most recent rage-click sessions and tell me what's broken."
• "Which companies visited the pricing page this week but didn't convert?"
• "Compare this month's conversion rate to last month by channel."

For the endpoint-native versions of these, see the prebuilt MCP prompts.