Gumshoe
AI visibility measurement and persona-based monitoringKojable vs Gumshoe
Gumshoe measures AI visibility. Kojable turns visibility into auditable answer intelligence.
Gumshoe is useful when teams need to monitor how AI systems mention a brand across models, personas, prompts, and citations. Kojable is built for the next question: why does the model believe this, which sources shaped it, what is influenceable, and what should change next?
Gumshoe can provide the visibility baseline. Kojable is the intelligence and intervention layer that validates findings, prioritises sources, and creates a retestable action plan.
Kojable
AI answer intelligence and intervention systemSide-by-side
Where Gumshoe and Kojable differ
| Area | Gumshoe | Kojable |
|---|---|---|
| Primary job | Measure AI visibility. | Diagnose and improve AI representation. |
| Core unit | Persona × prompt × model reporting. | Prompt × model × source × actionability intelligence. |
| Main output | Visibility scores, rankings, citations, persona and model breakdowns. | Auditable recommendations, source prioritisation, creator and channel targeting, and an intervention plan. |
| Strength | Scalable persona-based monitoring and recurring dashboards. | Judgement, QA, source actionability, intervention logic, and before/after retesting. |
| Best use | “Where do we show up?” | “Why do models believe this, what can change, and how do we prove it?” |
Which one do you need?
Start with the problem you actually have.
Choose Gumshoe if
- You need self-serve AI visibility monitoring across models and personas.
- You want recurring dashboards, rankings, and competitive visibility comparisons.
- Your main question is how often your brand appears in AI-generated answers.
Choose Kojable if
- You need to know which findings are reliable and commercially important.
- You need to separate actionable sources from useful but unrealistic targets.
- You want a baseline, action, retest, and proof-of-change loop.
Turn AI visibility findings into an auditable action plan.
Book a short review to see which prompts, sources, and model beliefs are worth acting on first.
Kojable's moat
Source-level, prompt-level, and model-level judgement
Kojable does not just run more prompts. It decides which prompts matter, which answers are trustworthy, which sources shape belief, and which interventions are likely to move the answer.
| Moat | What it means | Why it matters |
|---|---|---|
| Prompt intelligence | Know which buyer prompts expose real gaps. | Avoid prompt volume for its own sake. |
| Source actionability | Classify citations by influenceability, authority, ownership, and intervention path. | Focus effort on sources and creators that can realistically move. |
| Grounding and QA | Check whether sources really appear, titles match URLs, and evidence is usable. | Separate hallucinated or non-actionable evidence from useful signal. |
| Current-system orientation | Test the AI systems buyers are using now and will use next. | Make the work live and model-aware, not just a static report. |
| Intervention loop | Baseline, diagnose, prioritise, intervene, and retest. | Show whether the AI answer actually changed. |
| Learning over time | Capture which prompts, sources, creators, and content angles affect answers. | The intelligence layer gets more valuable with every run. |
Source actionability
Not every citation deserves the same response.
Most AI visibility reports show cited sources. Kojable adds the judgement layer: which sources are authority, which are only signals, and which can actually be influenced.
| Source type | What it signals | How Kojable treats it |
|---|---|---|
| Client-owned page | Useful context, but not independent authority. | Update messaging, proof points, schema, comparisons, and AI-readable clarity. |
| Competitor or vendor page | Category framing or comparison context. | Useful intelligence, but not a direct insertion target. |
| Directories, GitHub, Reddit, or review sources | Independent signal that may influence model belief. | Treat as signal, monitor for movement, and act only where realistic. |
| Compliance firm or analyst source | High-authority evidence. | Often unrealistic to influence directly; use as reference context. |
| Practitioner blog, newsletter, podcast, or niche creator | Independent, model-readable category context. | High-leverage outreach, expert commentary, commissioned content, or creator collaboration. |
Strategic framing
Kojable is not another visibility dashboard.
Avoid this position
- A prompt-running service.
- An SEO agency or content placement agency.
- A generic tool for chasing AI mentions.
Own this position
- AI answer intelligence with auditability.
- A defensible action plan for improving AI representation.
- A before/after loop that proves what changed.
Quick answers
Common questions about Kojable and Gumshoe
Not directly. Gumshoe is strongest as a visibility measurement and monitoring platform. Kojable is strongest when a team needs to validate the findings, understand why the answer looks that way, and decide what can realistically be changed.
Yes. Gumshoe can provide the baseline: prompts, personas, model outputs, citations, and visibility gaps. Kojable can turn that baseline into intelligence: what is true, what matters commercially, which sources are influenceable, and what to change next.
Kojable captures the baseline answer, recommends a targeted intervention, then retests the same prompt and model context to see whether the answer changed.