Comparison · Updated 2026

Kodiac vs Profound — where visibility tools stop, the control layer begins.

Profound shows you, in depth, what AI says about your organisation. That is useful — and it is Phase 1. The deeper problem is that organisations have lost control over how AI understands them. Kodiac is the control layer for AI-mediated discovery: understand how AI interprets your organisation, improve what it relies on, then participate directly as a system AI depends on. The comparison below sets out the differences capability by capability.

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What Kodiac adds

Capabilities Profound does not provide.

Kodiac is built as three phases of one journey — understand how AI interprets your organisation (Kodiac Audit), improve what it relies on with structured, governed content across your existing systems (Kodiac Content), and participate directly as the system AI depends on (Kodiac Agent). The capabilities below are present in Kodiac and absent or materially weaker in Profound.

Three-layer audit

Profound is enterprise-grade in Layer 1 (output monitoring) but does not extend into Layer 2 (website AI-readiness scoring) or Layer 3 (Source Intelligence) at the same depth. Kodiac is built three-layer first - every audit you run is structurally complete, not just deeper output reporting.

Brand Agent

Profound is a measurement and reporting platform. Kodiac Agent is the participation layer - your brand exposed via MCP and REST so customer AI systems query your authoritative source directly. This is a fundamentally different product category. Profound has no equivalent.

Unified Audit + Content + Agent platform

Profound is a measurement product. Kodiac is a four-product platform - Audit shows you how AI understands you, Content improves what AI relies on, Agent answers AI systems directly, Workspace operates the whole thing. The Understand → Improve → Participate journey is unique to Kodiac.

Agency-grade workspace

Profound is built for in-house enterprise teams. Kodiac includes a native multi-brand workspace with white-label configuration, prospect audits, and partner programme - purpose-built for digital agencies as a primary GTM channel.

Side by side

Where the gap shows up.

A capability-by-capability view of where the two platforms diverge. Kodiac on the right, Profound on the left, no padding or rounding.

Dimension Profound Kodiac
ArchitectureGEO measurement and BI platformControl layer: Audit + Content + Agent + Workspace
PricingReported $2,000–5,000 / monthFrom £499 / month (Starter), £3,999 (Enterprise)
Audit layersLayer 1 only (output)All three layers
Source IntelligenceNot a primary capabilityPrimary differentiator across every tier
Content layer (structured knowledge)No content productKodiac Content with RAG endpoint
Brand Agent (MCP/REST)Not availableKodiac Agent with Playground
BI integrationStrong (Looker, Tableau, Power BI)API + webhooks; first-party dashboards
Multi-brand / agencyNot nativeNative with white-label
Best fitEnterprise analytics teamsEnterprise marketing + agencies that need control over how AI understands them
FAQ

Common questions about Kodiac vs Profound.

The questions buyers ask most often when deciding between the two.

How does Kodiac compare to Profound on price?

Profound's reported pricing starts at $2,000 per month and rises to $5,000 for full enterprise tier. Kodiac Audit Starter is £499 per month and Enterprise is £3,999 per month. At the enterprise tier, the prices are similar but the products are different - Profound is a measurement and BI product, Kodiac is a four-product Audit + Content + Agent + Workspace platform.

Does Profound have a Brand Agent product?

No. Profound is a GEO measurement and reporting platform. There is no MCP server, REST agent endpoint, or Playground equivalent. Kodiac Agent is the strategic capstone of the Kodiac platform and is a different category of product than Profound offers.

Is Profound better at BI integration than Kodiac?

Profound has stronger out-of-the-box connectors to Looker, Tableau, and Power BI today. Kodiac exposes a REST API and webhooks for the same use case but does not maintain first-party BI app integrations as a primary feature. If BI integration is your single most important requirement, Profound has the edge.

Can I use Profound for Source Intelligence?

Profound provides citation analysis on AI outputs. It does not provide per-source AI weight scoring, sentiment alerts, or intervention playbooks for Reddit, Wikipedia, G2, or news the way Kodiac's Source Intelligence layer does. The majority of AI brand representation - 74-92% per University of Toronto research - that comes from third-party sources is not a primary product surface in Profound today.

Start with phase 1

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