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The selection guideSource-backed research ↗
Content Optimization / Content operations

KIME

AI-search visibility measurement with an agentic optimization layer

Content optimization
Why it stands out

Public pricing exposes prompt, response, engine, seat, and agentic-execution units.

Source review: · Public-source research, not a hands-on test

↗ Best for

In-house marketing and SEO teams that need a repeatable baseline across selected AI engines.

! Know before you buy

Independent product-specific evidence is still sparse, and the sampled nature of AI-answer metrics limits what visibility and share-of-voice numbers can prove.

01 / Editorial assessment

Is KIME for you?

The AICiteKit take

KIME is a credible candidate for teams that want a dedicated AI-search measurement layer without starting at an enterprise-only price. Explorer’s 50 prompts, two engines, five seats, and 3,000 response allowance provide a bounded way to establish a baseline. Core is materially more expensive, but it increases prompt and response capacity and adds onboarding support rather than merely charging per additional seat. KIME is worth a structured 7-day trial for a team that can define a representative prompt set and wants measurement plus optional execution in one workspace. It is not a substitute for a carefully designed sampling methodology, content review, technical SEO work, or independent proof that AI visibility changes lead to traffic, leads, or revenue.

A good fit if you are…

  • In-house marketing and SEO teams that need a repeatable baseline across selected AI engines.
  • Agencies that want multiple seats, brand workspaces, competitor comparisons, and a client reporting narrative.
  • Ecommerce and consumer brands where product/category recommendations in AI answers are strategic concerns.
  • Teams that want to connect a visibility gap to a content, outreach, or technical task backlog.
  • Buyers who prefer a public monthly price and a bounded trial before discussing Enterprise scope.

Consider another option if…

  • Teams expecting a free ongoing monitor rather than a seven-day trial.
  • Buyers who need statistically representative real-user query data instead of a configured prompt panel.
  • Organizations that require a fully documented model-version, geography, raw-answer-retention, export, or audit trail before procurement.
  • Teams looking for traditional Google rank tracking, backlink intelligence, or a complete replacement for an SEO suite.
  • Governance-heavy publishers that will not allow agentic content or technical changes without review, rollback, and audit controls.

02 / Scope, not promises

Features & coverage

Main job

Track and interpret AI-search visibility, then prioritize and optionally execute optimization work

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Quick facts
Explorer

€99/month; 50 unique prompts, 2 AI engines, 3,000 AI responses/month, 10 agentic executions/month, 5 seats

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Quick facts
Core

€399/month; 200 unique prompts, 3 AI engines, 18,000 AI responses/month, 30 agentic executions/month, 10 seats

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Quick facts
Enterprise

Custom prompts, all available models, 40–100 agentic executions/month, 30–50 seats, and expanded support/services

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Quick facts
Trial

7 days on Explorer and Core according to the official pricing page

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Quick facts
AI surfaces named

ChatGPT, Google AI Mode, Perplexity, Google AI Overviews, Gemini, Microsoft Copilot, Claude, Grok, DeepSeek, and Meta AI; plan access differs

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Quick facts

Prompt and engine monitoring

KIME’s pricing page separates Explorer’s two engines and Core’s three from Enterprise’s broader model access. The homepage and FAQ name ten possible AI surfaces, but the existence of a named surface on the product page does not prove that it is included in every plan. Confirm the exact engine mix, refresh frequency, response quota, and raw-answer access in the trial account.

Archived research context ↗

Competitor benchmarking

The platform compares a brand against selected competitors using the same configured prompts and engines. This is useful for identifying relative gaps inside a defined panel. It should not be reported as total market share: competitor selection, prompt wording, market, model behavior, and sampling cadence all affect the result.

Archived research context ↗

Citation and source analysis

KIME shows which domains or sources are cited when monitored answers mention a brand. This can help a content team build a source portfolio and investigate why a competitor is repeatedly present. Citation frequency still does not prove referral traffic, conversion, authority, or that the cited source caused the answer.

Archived research context ↗

AI perception and sentiment

The official product pages describe sentiment distribution and the words AI systems associate with a brand. Buyers should inspect the underlying answer examples and classification rules during the trial. A positive sentiment percentage is an interpretation of sampled model outputs, not a customer-satisfaction survey.

Archived research context ↗

Action center and AWX

KIME’s current commercial pages list an action center, custom task management, and monthly agentic-execution allowances. The unit is important: Explorer includes 10 executions and Core 30, while the analytics suite is described separately. Before purchase, ask what counts as one execution, whether failed or revised tasks consume allowance, which actions can publish or modify a site, and what approval and audit controls exist.

Archived research context ↗

A focused evaluation workflow
  1. Start with a documented baseline: 30–50 prompts grouped by customer journey, product category, competitor comparison, and factual brand questions.
  2. Run the baseline across the smallest plan that covers the target engines and market; save answer examples and cited domains, not only summary scores.
  3. Separate measurement from intervention. Select one content or technical change and keep other major variables stable where practical.
  4. Use KIME’s action center to prioritize a small task set, but require human review and staging for any generated content, outreach, or technical change.
  5. Re-run the same prompt set on a defined cadence and annotate model, market, date, and content changes.
  6. Report visibility and citation movement as sampled leading indicators. Connect them to Search Console, analytics, and conversion data separately rather than claiming that a KIME score caused revenue.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-09-16 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Pricing at a glance

Current public price: Explorer at €99/month and Core at €399/month; Enterprise is custom-priced. Annual billing is advertised with a 15% discount and quarterly billing with a 5% discount.

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Overview
Explorer

Published price: €99/month · Prompt and response allowance: 50 unique prompts; 3,000 AI responses/month · Engine and execution allowance: 2 engines; 10 AWX executions/month; 5 seats · Practical fit: A bounded baseline for one marketer or a small pilot

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Plans, pricing, and usage limits
Core

Published price: €399/month · Prompt and response allowance: 200 unique prompts; 18,000 AI responses/month · Engine and execution allowance: 3 engines; 30 AWX executions/month; 10 seats; onboarding support · Practical fit: A recurring program with a larger prompt panel and team workflow

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Plans, pricing, and usage limits
Enterprise

Published price: Custom · Prompt and response allowance: Custom prompts and all available models · Engine and execution allowance: 40–100 AWX executions/month; 30–50 seats; expanded support · Practical fit: Larger organizations needing scope, services, and access negotiation

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Plans, pricing, and usage limits
Free access & trial

The official pricing page advertises a 7-day free trial for Explorer and Core. That is a trial offer, not a permanent free plan.

Archived research · Research dated 2026-09-16; confirm current termsResearch excerpt · Overview

Pricing context & qualifications

PlanPublished pricePrompt and response allowanceEngine and execution allowancePractical fit
Explorer€99/month50 unique prompts; 3,000 AI responses/month2 engines; 10 AWX executions/month; 5 seatsA bounded baseline for one marketer or a small pilot
Core€399/month200 unique prompts; 18,000 AI responses/month3 engines; 30 AWX executions/month; 10 seats; onboarding supportA recurring program with a larger prompt panel and team workflow
EnterpriseCustomCustom prompts and all available models40–100 AWX executions/month; 30–50 seats; expanded supportLarger organizations needing scope, services, and access negotiation

The official pricing page says plans can be billed monthly, quarterly, or annually, with advertised discounts of 5% for quarterly and 15% for annual billing. It also says there are no per-seat or per-model fees. Buyers should still confirm taxes, currency conversion, response overages, data-retention terms, and what happens when an execution or response allowance is exhausted.

Capterra’s current listing adds a conflicting legacy/provider-data observation: it displayed €127/month for a Lite plan and €339/month for Pro, with 25 and 100 unique prompts respectively. The listing also reported a free trial but no user reviews. Because those figures conflict with the current official pricing page and may represent older provider-supplied metadata, they should not be treated as current list pricing. Ask KIME to reconcile the plan names, allowances, and effective date in the contract or checkout flow.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • Public pricing exposes prompt, response, engine, seat, and agentic-execution units.
  • A 7-day trial enables a bounded baseline without requiring an Enterprise sales process.
  • Competitor and citation views connect AI-answer observations to content research questions.
  • Unlimited country and language fields are advertised across the plan comparison.
  • The action center and AWX provide a potential bridge from measurement to execution.

Reasons to pause

  • The independent evidence base is immature: Capterra showed no user reviews, and the available practitioner review is a single authored assessment rather than a consensus sample.
  • Prompt-panel metrics are directional. They depend on query selection, model version, geography, language, timing, and refresh cadence.
  • The public pages do not fully document sampling methodology, raw-answer retention, export detail, or plan-specific regional/model constraints.
  • Current official positioning includes AWX and Optimus, but the independent review predates or does not evaluate the newer agentic scope.
  • Enterprise features, model coverage, and execution capacity require account-level confirmation.

Independent product-specific evidence is still sparse, and the sampled nature of AI-answer metrics limits what visibility and share-of-voice numbers can prove.

05 / Choose by the job

Alternatives to consider

Editorial fit comparisons—not performance rankings or claims that one option always wins.

Another direction / 01

Peec AI ↗

Peec AI · Teams focused on prompt-level AI visibility monitoring and competitive gaps · Compare monitoring depth, engine access, reporting, and whether an execution layer is required

Another direction / 02

Profound ↗

Profound · Enterprise teams seeking deeper consumer-panel and AI-search intelligence · Typically a higher-touch enterprise evaluation with different data and pricing assumptions

Another direction / 03

Scrunch AI ↗

Scrunch AI · Brands and agencies wanting AI visibility tracking and reporting · Compare plan coverage, evidence methodology, and operational workflows

Another direction / 04

Surfer SEO GEO ↗

Surfer SEO GEO · Teams combining content optimization with an established SEO/content workflow · Compare content guidance and SEO integration against KIME’s prompt analytics and AWX direction

06 / What we can substantiate

Reviews & evidence

Independent feedback is limited to the archived sources below. No hands-on test or outcome benchmark was performed as part of this layout migration.

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

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.

Evidence snapshot

SourcePublic signalWhat it supportsConfidence and bias
KIME official pricingExplorer €99/month and Core €399/month; plan allowances and 7-day trial are displayedCurrent commercial packaging, prompt/response/engine/seat/execution boundariesHigh for displayed vendor terms; vendor-controlled
KIME official product pageCurrent product scope includes prompt monitoring, competitor analysis, citations, action center, AWX, and MCPAdvertised workflow and feature directionMedium-high for current positioning; does not prove efficacy
Farman Rind practitioner reviewJuly 18, 2026 review describes clean measurement, citation tracking, and competitor benchmarking; it also calls the data directional and says strategy guidance was limitedPractical workflow observations and important sampling caveatsMedium-low; one practitioner review with author-affiliated consulting context
Capterra KIME listing0.0 from 0 user reviews when checked September 16, 2026; provider-data pricing differs from the current official pageEvidence scarcity and a dated/conflicting commercial observationHigh for the observed listing state; not a quality rating or customer consensus
KIME customer statementsNamed testimonials from Saxo, THEMAGIC5, Superb, and VR TravelVendor-selected customer claims about perceived clarity and usefulnessLow-medium; vendor-selected, not independently audited

Recurring positive themes

The accessible practitioner review emphasizes a focused dashboard, multi-platform coverage, citation-frequency tracking, competitive share-of-voice views, and trend reporting. The official testimonials similarly describe clearer visibility into how brands perform across AI platforms. These are useful directional signals about the intended workflow, but they are not a statistically recurring theme across a large independent sample.

Recurring concerns and tradeoffs

The strongest documented concern is methodological rather than a complaint about interface quality: a configured prompt set cannot represent every real user query, and a citation-rate percentage can overstate precision if presented as absolute market share. The practitioner review also described KIME as a measurement layer that required a separate strategy layer; the current official AWX positioning may address part of that gap, but the newer execution workflow lacks comparable independent evaluation.

How much should buyers trust the evidence?

Official evidence is strong for the current displayed plans and advertised feature direction. Independent evidence is much thinner. Capterra’s zero-review state means there is no public product-specific review consensus to summarize; it should not be converted into a 0.0 quality judgment. The practitioner review is valuable for explaining sampling limits and workflow fit, but it is one dated perspective. Vendor testimonials are useful context about claimed use cases and should not be treated as neutral proof of citations, traffic, or revenue.

AICiteKit interpretation

KIME has enough current official evidence to justify a bounded trial, but not enough independent evidence to support a confident claim about the quality or outcomes of its newer agentic layer. Use it as an instrument for a defined experiment: document the prompt panel, compare repeated answers, inspect cited sources, and keep human approval over any AWX action.

What to verify during a trial

  1. Export the same prompt set before and after a controlled content or technical change; record engine, country, language, date, and model context.
  2. Confirm whether the selected Explorer/Core engines match the plan table and whether Google AI Mode and AI Overviews are available in the target market.
  3. Inspect raw answer examples behind visibility, sentiment, position, and share-of-voice metrics rather than relying only on aggregate scores.
  4. Test citation-source exports and determine whether URLs, answer snapshots, timestamps, and model metadata are retained.
  5. Run one low-risk AWX task in a staging or draft workflow. Verify approval gates, source citations, factual review, permissions, rollback, and execution-unit consumption.
  6. Compare the current official plan with any checkout or proposal and reconcile the Capterra legacy pricing observation before subscribing.

Review evidence sources

  • KIME pricing — official plan matrix, allowances, trial, discounts, and customer-selected statements checked September 16, 2026.

  • KIME homepage — official current positioning, named engines, workflow, AWX, MCP, and FAQ claims checked September 16, 2026.

  • Kime AI review by Farman Rind — independent practitioner review dated July 18, 2026; used for workflow observations and sampling limitations, not as proof of outcomes.

  • Capterra KIME profile — provider directory and review-platform listing checked September 16, 2026; used to document zero product reviews and conflicting dated pricing metadata.

  • KIME official homepage — product scope, AI engines, workflow, AWX, MCP, and FAQ checked September 16, 2026.

  • KIME official pricing — current Explorer/Core/Enterprise pricing, quotas, discounts, trial, and support terms checked September 16, 2026.

  • Farman Rind’s KIME review — independent practitioner review published July 18, 2026; used with disclosed author and evidence limitations.

  • Capterra KIME profile — review count, provider-data pricing, product description, and listing metadata checked September 16, 2026.

Last reviewed: September 16, 2026

Data confidence: Medium. Official pricing and advertised scope are directly documented; independent customer evidence for KIME and the current agentic layer remains limited.

Research notes & unresolved discrepancies
  • This page reorganizes previously published research. It is not a fresh price check or a hands-on test. Refer to source-specific dates and qualifications in the research context below.

Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.