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Phase Neutre

The Phase Neutre Platform

An operating system for AI search optimization.

Every engagement runs on our internal platform. It measures visibility across engines, prioritizes work by revenue proximity, executes program sprints, and reports outcomes the way a CFO expects.

Modules

Nine modules. One coordinated surface.

The platform is opinionated. Each module ships with the dashboards, alerts and workflow primitives a Phase Neutre pod uses to ship a sprint — not a generic data-warehouse-and-chart kit you'd need to assemble.

core

Search intelligence

Prompt panels, engine sampling and SERP+AI feature monitoring in one surface.

core

Citation monitoring

Continuous tracking of who cites you, in which engine, with what framing.

core

Entity analysis

How models describe your brand, products and experts — and where they drift.

core

Competitor tracking

Per-engine, per-prompt visibility for every named competitor in your set.

reporting

Visibility reporting

Boardroom-grade reporting that ties AI visibility to revenue surfaces.

infra

Schema automation

Programmatic structured data validation and rollout for AI-aware crawlers.

ops

Opportunity grading

Every prompt scored for addressable lift, revenue proximity and difficulty.

ops

Drift alerting

Engineer-routed alerts when entities or citations move against you.

ops

Sprint orchestration

Two-week sprint planning, execution and reporting baked into the platform.

The data layer

Built on a category-aware corpus.

The platform ingests prompt evaluations from every major AI engine, third-party citation surfaces, structured data crawls and competitive signal — then resolves them against the entity graph that defines your category. The result is one shared source of truth across strategy, content and engineering teams.

Sampling runs around the clock. New prompt panels can be deployed in under an hour, and engine coverage scales horizontally as new models reach production traffic.

Engines instrumented9
Prompt evaluations / week180k+
Categories modeled120
Citation surfaces tracked12k+
Entity records resolved8.4M
Avg. sample latency< 4 min

How the loop runs

Sample → score → route → ship.

Visibility isn't a one-shot report. The platform runs a continuous loop so the pod always knows the highest-leverage move this week.

01

Sample

Prompt panels run continuously across nine engines. Every answer is captured, parsed and stored with citation metadata.

02

Score

Each result is graded for visibility, sentiment, accuracy and competitive position against your named set.

03

Route

Opportunities and drift are routed to the responsible workstream — content, entity, citation or technical.

04

Ship

Sprint orchestration tracks scope, owners and KPIs. Outcomes feed back into the next measurement cycle.

Integrations

Plugs into the stack you already trust.

Bi-directional connectors push AI visibility data into your warehouse, BI and CRM — and pull revenue surfaces back in so every cited prompt can be tied to pipeline.

Need a custom connector? Most ship in under two weeks.
GA4Google Search ConsoleAhrefsSemrushLooker StudioSnowflakeBigQuerySegmentHubSpotSalesforceSlackLinear

Security & trust

Enterprise-grade by default.

The platform handles competitive intelligence and revenue-tied data. We treat it accordingly.

SOC 2 Type II

In progress with an external auditor; controls library available under NDA.

GDPR & UK-GDPR aligned

EU sub-processors and standard contractual clauses on request.

Customer data isolation

Per-tenant logical isolation with KMS-backed encryption at rest.

Audit trails

Every measurement, citation and sprint action is timestamped and exportable.

See the platform in production.

Book a guided walkthrough with our team using a sample of your category data. No mock dashboards — we run it live against your own prompt panel.