Use case · Enterprise marketing

One scoreboard. Every market. Every model. Every quarter.

Enterprise marketing organizations don’t need another point tool. They need AI visibility data that rolls up across markets, lives in the warehouse, and signs off in the boardroom. Intendity is the AEO layer that fits.

Three problems point tools can’t solve.

At enterprise scale, AEO breaks the moment it lives in a standalone dashboard. The whole point is to make AI visibility comparable to every other marketing surface.

Multi-market roll-ups

Different countries, different languages, different competitive sets. Enterprise teams need a single chart that compares AI visibility across DE, FR, UK, US — without losing the per-market detail.

Warehouse pipelines

Brand data has to live next to web, paid and pipeline metrics in Snowflake or BigQuery. The REST API and MCP server make Intendity a first-class data source, not another disconnected dashboard.

Stakeholder alignment

Brand, content, PR, product marketing and the regional teams all touch AEO. Enterprise reporting needs to give each group a relevant view without fragmenting the underlying data.

Six capabilities only the Enterprise plan unlocks.

Pro covers a single brand at scale. Enterprise solves the multi-brand, multi-market, multi-stakeholder reality of a global marketing organization.

Quarterly executive scoreboard

A single PDF report per quarter — mention rate, share of voice and citation coverage rolled up across markets. Comparable across periods, signed off by the CMO.

API → warehouse

Pull daily visibility, mentions and competitor SoV via the REST API. Join with Salesforce pipeline and paid-media spend in Looker or Power BI for full attribution.

Per-market accountability

Each regional team owns a view scoped to their country. Same scoreboard, local detail. Quarterly business reviews become a one-click conversation.

Brand-protection workflow

Negative themes flagged weekly. Comms, legal and product get pre-aligned playbooks for the most common AI-mediated narrative risks — outdated pricing, deprecated features, founder confusion.

Localized recommendation engine

Recommendations rank by expected lift per market. The team in Germany doesn’t see playbook items meant for the US team — and vice versa.

Custom DPA & SSO

Enterprise plan ships a custom data processing agreement, SSO on request, dedicated onboarding and a procurement-ready security questionnaire response.

A four-quarter adoption arc.

What enterprise rollouts look like in practice. Each quarter compounds the prior — the source-level work in Q1 starts producing measurable lift in Q3–Q4.

  1. Quarter 1

    Baseline across top three markets. Identify the highest-impact source-level gaps; assign owners; ship the first round of recommendations.

  2. Quarter 2

    API integration into the marketing data warehouse. Visibility becomes a first-class metric in the weekly leadership review alongside funnel KPIs.

  3. Quarter 3

    Per-market accountability. Regional teams own their scorecard; cross-market patterns inform brand-strategy decisions at the C-level.

  4. Quarter 4

    Compounding wins. Sources secured in Q1 produce the highest mention-rate gains in Q3–Q4 as models recrawl and reweight. Annual report rolls them up.

Procurement-ready when you are.

Custom DPA, security questionnaire response, dedicated onboarding. Most enterprise reviews complete in under two weeks.