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Kinetix

Free
★ 15 • Updated Sep 14, 2026, 04:01 PM

KinetixSEO (Kinetix) is a web-based SEO and AI-visibility monitoring platform that tracks whether large language model assistants — ChatGPT, Gemini, Claude and Perplexity — recommend a given brand or a competitor when users ask relevant questions.

Use Cases ▼
01

Monitoring whether ChatGPT, Gemini, Claude or Perplexity recommend your brand for tracked prompts

02

Comparing your AI citation share against up to three named competitors per site

03

Detecting visibility drops, such as a selection rate falling from 46% to 32% for a target query

04

Getting prioritised on-page copy and code recommendations to improve AI quotability

05

Re-scanning a page after applying fixes to confirm the finding has cleared

06

Running a free baseline AI visibility check on a domain or single page URL before subscribing

07

Tracking long-term AI visibility trends across nightly re-checks with multi-year history

08

Receiving email and in-app alerts when AI visibility changes materially

What Problem It Solves ▼

Brands increasingly lose traffic and demand to competitors that AI assistants recommend in generated answers, but traditional SEO tools do not measure whether an assistant cites or recommends a brand. KinetixSEO quantifies AI visibility across ChatGPT, Gemini, Claude and Perplexity, identifies which pages and prompts cause the brand to be missed, and provides prioritised on-page fixes plus re-scanning to verify the change worked.

Key Features ▼
✓

Measures AI visibility across four major assistants (ChatGPT, Gemini, Claude, Perplexity) rather than a single engine

✓

Goes beyond reporting by providing prioritised on-page fixes and a re-scan verification step

✓

Nightly automated re-checks with change alerts and up to four years of history on higher tiers

✓

Free baseline check with no credit card required

✓

Transparent methodology and explicit caveats about answer variability

Overview

KinetixSEO (Kinetix) is a web-based SEO and AI-visibility monitoring platform that tracks whether large language model assistants — ChatGPT, Gemini, Claude and Perplexity — recommend a given brand or a competitor when users ask relevant questions. It tracks a defined set of prompts across all four engines on a nightly basis and reports trends in selection rate, citation patterns and visibility funnel position, rather than a single one-off score.

Full Description ▼

The product frames AI visibility as four separate problems: being reachable by an assistant, being structured so the assistant can quote the page, actually being cited in answers, and ranking in conventional search. Kinetix measures these separately so users can identify which one is failing. It also states openly that AI answers are regenerated each time and vary by prompt, engine and timing, which is why it re-runs prompts continuously instead of relying on a single check.

Beyond monitoring, Kinetix provides a remediation loop: findings are prioritised on the page, with suggested replacement copy or code that the user applies manually, followed by a re-scan to confirm the fix cleared the finding. The company markets this as the differentiator versus tools that only report invisibility.

Pricing published on the homepage includes a free baseline check without a credit card, one-time Page Fix credits at €29, and subscription tiers — Solo (€40/month, 1 site, 5 prompts), Growth (€120/month, 3 sites, 20 prompts), Scale (€220/month, 5 sites, 40 prompts) and Pro (€400/month, 10 sites, 75 prompts) — each including three competitor slots per site, nightly re-checks, alerting and multi-year history. Yearly billing offers a stated 10% saving.

Pros & Cons

Pros

+

Measures AI visibility across four major assistants (ChatGPT, Gemini, Claude, Perplexity) rather than a single engine

+

Goes beyond reporting by providing prioritised on-page fixes and a re-scan verification step

+

Nightly automated re-checks with change alerts and up to four years of history on higher tiers

+

Free baseline check with no credit card required

+

Transparent methodology and explicit caveats about answer variability

Cons

−

No public free tier for continuous monitoring; paid plans start at €40/month

−

Page Fix remediation is applied manually by the user rather than automated

−

Prompt tracking limits are low on entry tiers (5 prompts on Solo)

−

Results depend on model behaviour that changes frequently, so a single scan is not a stable position

−

No GitHub repository or self-hosted option; closed-source SaaS only

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