How Kojable works

Monitor. Diagnose. Improve. Verify.

Kojable turns scattered AI answers into a repeatable workflow for understanding company representation, deciding what deserves attention, guiding practical changes, and checking what moved.

1–2Monitor answers, then diagnose the gaps and evidence
3Improve with prioritised implementation guidance
4Verify through comparable-answer retesting

The workflow

Four connected steps, not a monitoring-only dashboard

  1. Monitor

    Select the topics and questions that matter to buyer research, then observe how ChatGPT, Claude, Gemini, and Perplexity describe, compare, cite, recommend, or omit the company. Explore AI visibility monitoring.

  2. Diagnose

    Analyse answer patterns, competitor framing, source domains, cited pages, owned evidence, and missing information. Separate likely drivers from unsupported causal claims. Explore AI citation monitoring.

  3. Improve

    Prioritise the gaps that matter, explain why they deserve attention, identify where a change can realistically be made, and provide practical implementation guidance.

  4. Verify

    Retest comparable questions after changes and continue monitoring so teams can see what moved, what stayed stable, and what needs further investigation.

Inputs and scope

Start with the buyer questions that define the category

A useful baseline depends on the company, market, competitors, product language, and questions buyers use during discovery and vendor selection. Topic and question selection should cover category understanding, use cases, comparisons, evidence, risk, implementation, and pricing where relevant.

Different platforms and models can return different answers. Kojable preserves that variation instead of collapsing every observation into one unqualified score.

From diagnosis to action

Prioritised guidance should stay tied to available evidence

Recommendations can involve clearer owned pages, stronger proof, better claim support, missing comparison information, source coverage, or realistic third-party opportunities. They explain what needs attention, why it matters, where to act, and how to carry out the change.

Observed source patterns do not prove causation, and no workflow can guarantee a citation, ranking, recommendation, or revenue result. Our guide to what AI citations can and cannot prove sets out that evidence boundary. Verification therefore uses comparable retesting and ongoing monitoring rather than one-off certainty.

From findings to an approved change

Kojable's platform powers our research, diagnosis and follow-up work. One-time packages purchase defined deliverables rather than an ongoing software subscription. Optional Ongoing Support includes platform access within the agreed monthly scope. Advanced platform capabilities are not automatically included in every package. Managed pilots are scoped separately.

  1. Agree the buyer questions, selected route and written scope before payment.
  2. Review the findings and supporting evidence.
  3. Prepare the agreed bounded draft, page copy or PR and creator materials.
  4. Obtain customer approval.
  5. Publish through the selected route.
  6. Compare subsequent answers under comparable conditions and report what changed.

Your team approves the work. Your team publishes the $99 first improvement; Kojable publishes the supported $399 website change. For the PR and creator route, your team handles outreach, partnerships and publication unless separately agreed. Creator and third-party fees are additional.

Compare current packages and scope. Optional support continues the agreed workbook, materials, reviews, checks and reporting; a complete one-time package is not automatically included.