Kojable is an AI answer alignment platform.

Kojable vs Peec AI

Peec AI tracks AI-search visibility. Kojable turns representation gaps into prioritised improvements and retesting.

Peec AI provides visibility, prompt, competitor, citation, source, and action data. Kojable adds diagnosis of the representation gap, prioritisation, implementation guidance, and comparable-answer retesting.

The products can be complementary when visibility data becomes an input to a deeper diagnosis and improvement process.

Peec AI

AI-search visibility tracking and source analytics

Kojable

AI representation diagnosis, improvement guidance, and verification

Side-by-side

Where Peec AI and Kojable differ

Comparison of Peec AI and Kojable across category, buyer, job, starting point, product motion, value promise, and differentiation.
Dimension Peec AI Kojable
Core category AI-search visibility tracking and analytics platform. AI answer alignment platform for monitoring, diagnosis, improvement guidance, and verification.
Primary buyer SEO, content, growth, marketing, and agency teams tracking AI-search performance. Specialist B2B companies, manufacturers, industrial suppliers, technical service firms, consultants, and niche businesses.
Main job Track prompts, visibility, competitors, citations, sources, sentiment, and AI-search performance. Monitor AI representation, diagnose likely drivers and gaps, prioritise improvements, explain how to act, and retest comparable answers.
Starting point Prompts, dashboards, visibility metrics, source gaps, competitor comparison, and action recommendations. Misrepresentation, omission, weak evidence, inaccurate positioning, low trust, and competitor displacement.
Product motion Self-serve dashboard → prompt tracking → source analysis → actions → monitoring. Baseline → evidence-backed diagnosis → prioritised guidance → implementation support → retesting.
Value promise Show marketing teams where they appear in AI search and what source opportunities may improve visibility. Clarify what may be shaping the answer, what should change, how to make the change, and what improved after retesting.
Differentiation Clear AI visibility analytics with source intelligence and practical action recommendations. Evidence-backed diagnosis, practical implementation guidance, and repeatable verification.

Which one do you need?

Start with the problem you actually have.

Choose Peec AI if

  • You want a self-serve dashboard for AI-search visibility.
  • You need to track prompts, models, sources, citations, and competitors over time.
  • Your team already knows the prompts and topics it wants to monitor.

Choose Kojable if

  • You need to understand more than whether the company appears in AI answers.
  • You need evidence and likely drivers associated with the answer, plus a prioritised plan.
  • You need guidance on what to change and how, then retesting to verify movement.

See what is shaping AI’s answers about your company.

Run the free audit to establish your current representation baseline and identify what to change, how to change it, and what to retest — no credit card, results in minutes.

Run your free AI brand audit

Quick answers

Common questions about Kojable and Peec AI

Not necessarily. Peec AI is strongest for its stated primary job. Kojable is strongest when a team needs to diagnose what may be shaping AI representation, decide what to change and how to change it, and verify whether comparable answers improve.

Yes. Peec AI can support its monitoring, content, or search function, while Kojable can help diagnose the representation gap, prioritise improvements, provide implementation guidance, and run a retesting loop.

Start with the product that matches the immediate problem. Choose Peec AI for its established primary use; choose Kojable when the priority is diagnosis, practical guidance, and verification of representation changes.

Kojable adds a representation baseline, evidence-backed diagnosis, prioritised actions, guidance on what to change and how to make the change, and comparable-answer retesting.