LLM Pulse ↗
Prompt tracking and share-of-voice analysis are the primary need.
← All toolsAnother direction / 01 Another direction / 02 Another direction / 03 Another direction / 04
The selection guideSource-backed research ↗
AI Search Monitoring / AI-search visibility monitoring and prompt analytics platform
KNWN
AI visibility monitoring for brand mentions, citations, and answer-engine context
AI visibility monitoringPrompt trackingCitation analysisAI-shopping research
Why it stands out
Clear public $49/$99/$199 monthly plans.
Source review: · Public-source research, not a hands-on test
↗ Best for
Teams tracking fixed buyer questions across four answer engines.
! Know before you buy
No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversion, or revenue impact.
01 / Editorial assessment
Is KNWN for you?
The AICiteKit take
KNWN is a plausible early-stage AI-visibility workspace for teams that want public prices, four named answer engines, custom prompt limits, and topic-gap analysis. The official benchmark is explicit about its scope (400 shopping runs, 20 scenarios, one AI agent, no purchases), while ZPlatform provides one hands-on review with a 7/10 verdict and concrete criticism of citation depth, competitor tracking, and niche calibration. G2 currently shows 0 reviews. The evidence supports advertised scope and one bounded user account, not general satisfaction, citation accuracy, repeatability, causal visibility lift, traffic, or revenue. Run a fixed-prompt pilot and archive raw answers before purchase.
A good fit if you are…
- Teams tracking fixed buyer questions across four answer engines.
- Agencies or multi-brand teams within 1–5 brand and 10–50 prompt limits.
- Content teams using topic gaps as research hypotheses.
- Ecommerce teams separating recommendations from completed transactions.
Consider another option if…
- Buyers requiring public sampling code and model versions.
- Teams needing broad independent customer feedback.
- Buyers expecting mature citation forensics or competitor diagnostics.
- Organizations seeking causal ROI evidence.
02 / Scope, not promises
Features & coverage
- Public plans
Pro $49/month, Growth $99/month, Scale $199/month.
Archived research · Official pricing checked 2026-10-20; confirm taxes and contract terms.Research excerpt · Pricing and limits- Named AI platforms
ChatGPT, Claude, Gemini, and Perplexity.
Archived research · Research dated 2026-10-20; confirm model versions, locations, and languages.Research excerpt · Prompt monitoring and citations- Prompt and brand limits
Pro: 10 prompts/1 brand; Growth: 25 prompts/2 brands; Scale: 50 prompts/5 brands.
Archived research · Official pricing checked 2026-10-20; confirm refresh and answer quotas.Research excerpt · Pricing and limits
Prompt monitoring and citation context
KNWN documents custom prompt tracking across ChatGPT, Claude, Gemini, and Perplexity, with mentions, citations, and context. The independent review found prompt tracking useful but citation analysis limited.
Topic gaps and recommendations
The product surfaces trending queries and topic gaps for content opportunities. Validate recommendations against the buyer niche because the independent review reported off-niche suggestions.
AI shopper research boundaries
The benchmark reports 400 runs across 20 scenarios and five categories with one agent and no purchases; it is not a human conversion study.
Evidence boundary
No product-specific controlled benchmark or broad customer-review sample was found; G2 displays zero reviews.
A focused evaluation workflow
- Define brands, audiences, competitors, and buyer prompts.
- Run the monitoring panel and inspect mentions, citations, and context.
- Use topic gaps as hypotheses for research and content planning.
- Archive raw answers, prompts, timestamps, and model metadata.
- Separate AI recommendations from human conversion and revenue outcomes.
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-10-20 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- Public plans
Pro $49/month, Growth $99/month, Scale $199/month.
Archived research · Official pricing checked 2026-10-20; confirm taxes and contract terms.Research excerpt · Pricing and limits
- Prompt and brand limits
Pro: 10 prompts/1 brand; Growth: 25 prompts/2 brands; Scale: 50 prompts/5 brands.
Archived research · Official pricing checked 2026-10-20; confirm refresh and answer quotas.Research excerpt · Pricing and limits
Your buying checklist
Get these answers first.
- What model versions, regions, languages, and refresh cadence apply to this plan?
- Can we export full answers, citations, timestamps, and model metadata?
- What are retention, deletion, overage, cancellation, API, and white-label terms?
- How are mention and citation classifications calibrated?
Pricing context & qualifications
Official pricing checked 2026-10-20: Pro $49/month with 10 prompts and 1 brand; Growth $99/month with 25 prompts and 2 brands; Scale $199/month with 50 prompts and 5 brands. Refresh, overage, retention, cancellation, and white-label terms require confirmation.
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- Clear public $49/$99/$199 monthly plans.
- Four named engines and custom prompt limits.
- Benchmark publishes explicit methodological boundaries.
- Independent review reports a useful prompt-tracking workflow.
Reasons to pause
- No reproducible sampling protocol or complete model/version matrix found.
- No product-specific controlled efficacy benchmark.
- G2 shows 0 reviews.
- Citation analysis, competitor tracking, and niche calibration have reported limitations.
- Retention, overages, cancellation, and white-label terms are not fully stated.
No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversion, or revenue impact.
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Peec AI ↗
A recurring AI-search monitoring workflow is preferred.
Rankability ↗
Agency-oriented reporting and broader workflow context matter.
Profound ↗
Enterprise answer-engine intelligence is preferred.
06 / What we can substantiate
Reviews & evidence
Snapshot: 2026-10-20 · Archived source reference; direct link missing
Snapshot: 2026-10-20 · Archived source reference; direct link missing
AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.
Sources & original verification dates
| Source | Evidence type | Checked |
|---|---|---|
| KNWN official homepage ↗ | Official product page | |
| KNWN Visibility pricing ↗ | Official pricing and plan page | |
| AI Shopper Benchmark ↗ | Vendor research methodology | |
| ZPlatform KNWN hands-on review ↗ | Independent hands-on review; single reviewer | |
| G2 KNWN reviews ↗ | Independent marketplace review count | |
| Temso AI visibility tools inventory ↗ | Directory discovery source only |
Original review evidence & date context
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
Official pages support advertised scope and benchmark boundaries. ZPlatform is one independent hands-on review with a 7/10 verdict and reports useful prompt tracking plus citation-depth, competitor, and niche-calibration limitations. G2 shows 0 reviews. No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversion, or revenue impact.
Research notes & unresolved discrepancies
- KNWN was selected after snapshot-ordered triage: BrandJet was rejected as cold outreach, GPTrends was identified as a rebranded/covered Siteline product, Hall was discontinued into Tracksuit, and Jarts reported service ended.
- No independent product-specific review sample beyond one hands-on account and no controlled benchmark were found.
- The vendor benchmark uses one AI agent and no completed purchases; do not present it as conversion evidence.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.