AI PoweredCompetitor SEO Intelligence

KIME

KIME tracks brand visibility across nine LLMs (ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, Grok, Deepseek, Meta AI, and Google AI Mode) by monitoring custom prompts and measuring how client brands appear in AI search responses.

KIME is a competitor SEO intelligence platform, priced at 99 €/month on the Explorer plan, integrating with ChatGPT, Perplexity, Google AI Mode, and Gemini. InnovaAI scores it 7.5/10 for agency resale.

Strong Buy7.5/10

Agency Audit

KIME monitors how client brands appear across nine LLMs (ChatGPT, Perplexity, Gemini, Claude, and others) in a single workspace, surfacing visibility trends, sentiment analysis, and citation sources that traditional SEO tools miss. Agencies can benchmark client performance against competitors within AI outputs, then execute optimization actions via the AWX agentic layer. Best fit for marketing and SEO agencies serving e-commerce, SaaS, and CPG brands where AI-driven discovery is becoming a revenue lever. White-label and multi-tenant support (up to 50 seats on Enterprise) make it resellable as a monthly retainer, though the Explorer plan's 50-prompt limit may constrain smaller client accounts.

Strong BuyNo WLTiered
Fit

7.5/10

Typical Margin

60%

Time-to-Value

2d 1-2 days

Complexity
Moderate
Strong Buy
Fit75
Visit KIME
Best For
  • You serve e-commerce, SaaS, or CPG brands and want to differentiate your SEO offering by monitoring AI search visibility alongside Google rankings.
  • You manage 5+ client accounts and need multi-tenant workspaces with separate reporting; KIME supports up to 50 seats on Enterprise and unlimited workspaces across all tiers.
  • Your clients compete in verticals where ChatGPT, Perplexity, or Gemini drive measurable referral traffic and you can justify a monthly retainer around the Core plan (399 €/mo).
Not For
  • Your client base is primarily local services (plumbers, dentists, lawyers) where AI search discovery is not a revenue driver.
  • You need HIPAA or industry-specific compliance certifications; KIME's compliance posture is not detailed in available documentation.
  • You cannot commit to configuring custom prompts and competitor benchmarks per client; KIME requires upfront setup work before insights appear.

Profit Path

Your Cost (EUR)

99 €/mo

Market Range

$499–$1.2K/mo

Revenue Model

Monthly Recurring

Planning benchmark at United States price levels. Not a measured market survey.

Platform Features

Core capabilities of KIME

Multi-LLM visibility tracking

Monitor brand mentions, sentiment, and citation sources across ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, Grok, Deepseek, Meta AI, and Google AI Mode in one workspace. Agencies track how client brands rank within LLM responses instead of relying on Google-only SEO metrics.

Competitor benchmarking

Set competitor benchmarks and measure how client brands perform against them in AI search outputs. Agencies identify visibility gaps and prioritize optimization targets based on competitive positioning within LLMs.

AWX agentic execution

Receive and execute optimization recommendations (content creation, technical fixes, outreach targets) via KIME's agentic layer. Core and Explorer plans include 10-30 agentic executions per month, automating routine optimization tasks.

Multi-tenant workspaces

Support up to 50 seats on Enterprise and unlimited workspaces across all tiers, enabling agencies to isolate client accounts and generate white-label or embedded reporting without cross-client data leakage.

API and MCP integration

Access KIME data via API or MCP integration for custom dashboards, embedded client portals, or third-party tool connections. Agencies can build white-label reporting surfaces or sync visibility data into existing client management systems.

Prompt-based monitoring

Configure custom prompts to track how clients appear in LLM responses for specific queries. Explorer supports 50 prompts, Core supports 200, allowing agencies to monitor branded and non-branded search scenarios.

What Makes KIME Different

Unique advantages vs similar tools in this niche

Tracks brand visibility specifically in AI search engines like ChatGPT and Perplexity

vs Traditional SEO tools like Ahrefs and Semrush that only track Google rankings

KIME measures how often and how positively your brand appears in LLM outputs, a channel not covered by existing SEO suites.

Agentic execution (AWX) that automatically performs optimization tasks

vs Manual content creation and outreach workflows

AWX can write blog posts, draft outreach emails, and fix technical structure without human intervention.

Citation source analytics showing which websites AI models pull from

vs Generic backlink tools that don't distinguish AI-cited sources

KIME shows which specific sources (e.g., marieclaire.co.uk, reddit.com) are used by AI models to mention your brand.

Latest Updates

Recent releases and improvements for KIME

Introducing Prompt Explorer

New2026-05-13

A new tool to discover missing prompts via AI-generated suggestions organized by industry topic or existing categories, with bulk-add capability.

Tags, nav refresh, and prompt improvements

Improvement2026-04-21

Colored tags for prompts with bulk assign, CSV import, and filtering; redesigned Organisation page; refreshed navigation bar; bug fixes for sentiment dates and keyword counts.

New feature: AI Perception

New2026-04-07

Track and understand how AI models talk about your brand, including sentiment scores, keyword drivers, source discovery, and an AI-generated brand perception summary.

New feature: Volume

New2026-03-03

Shows estimated search traffic behind each prompt's intent with color-coded signal bars for high, medium, and low volume topics.

New feature: Actions

New2026-03-03

Enables acting on KIME data with specific improvement suggestions, drag-and-drop status stages, team assignment, comments, and weekly refresh of new actions.

Investment ROI Calculator

Value equation analysis for KIME, based on the Hormozi framework

What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.

Value MultiplierExcellent

2.6× value multiple: invest 99 €/mo and agencies typically charge $499–$1.2K/mo for the work it powers.

Outcome42
÷
Friction16

Why This Succeeds

Higher is better

Implementation Challenges

Lower is better

Strong ROI. KIME at 99 €/mo supports market rates of $499–$1.2K. Its 2.6× value-equation score weighs client outcome and likelihood against the time and effort to deliver, not cost.

Best if:You serve e-commerce, SaaS, or CPG brands and want to differentiate your SEO offering by monitoring AI search visibility alongside Google rankings.You manage 5+ client accounts and need multi-tenant workspaces with separate reporting; KIME supports up to 50 seats on Enterprise and unlimited workspaces across all tiers.Your clients compete in verticals where ChatGPT, Perplexity, or Gemini drive measurable referral traffic and you can justify a monthly retainer around the Core plan (399 €/mo).You want to upsell optimization services; KIME's AWX agentic execution layer surfaces content creation, technical fixes, and outreach targets that agencies can implement for clients.

Pricing

KIME platform cost to your agency

~60% margin

Starts at 99 €/mo (Explorer), scales to 399 €/mo (Core)

Explorer

99 €/mo
  • 50 prompts tracked
  • Track across 2 AI engines
  • AWX, 10 agentic executions / month
  • 5 seats

Core

399 €/mo
  • 200 unique prompts tracked
  • Track across 3 AI engines
  • AWX, 30 agentic executions / month
  • 10 seats
Enterprise

Enterprise

Custom
  • Custom number of unique prompts
  • All available AI engines
  • 30–50 seats
  • Slack support

No verified white-label program for KIME: client-facing delivery runs under the platform's native branding.

Prices as published by the vendor in EUR · your regional price may differ

Market Intelligence

How agencies monetize KIME: real offer economics and market positioning

Service Applications
SEO & ContentReporting & AnalyticsAutomation & IntegrationsClient Communications
Best For
  • Marketing agencies
  • SEO agencies
  • Digital marketing teams
Not Ideal For
  • Agencies without digital presence focus
  • Enterprise-only agencies needing on-premise deployment

Hybrid (Project + Retainer)

ai-poweredmixed offers

Agency mixes project fees for setup/implementation with ongoing retainers for optimization.

Offer Economics: What You Charge vs. What It Costs

Margin includes platform cost + agency labor at $75/hr.

KIME AI Visibility Startergrowth smb

Funded startups and regional brands wanting to establish baseline AI search presence across ChatGPT and Perplexity

$1.3K/mo
Tool: 99 €/moLabor: 4h/mo × $75 = $300Margin: 68%Benchmark: $499–$1.2K/mo
Configure KIME workspace with 50 tracked prompts mapped to client brand and top competitorsBuild monthly AI visibility benchmark report comparing client share-of-voice against 3 competitorsOptimize client web content and structured data based on KIME prompt performance signalsMonitor AI engine ranking shifts and deliver prioritized action recommendations each month
KIME Brand Intelligence Retainermid market

Mid-market B2B companies with active competitors in AI search needing ongoing visibility management across multiple AI engines

$1.8K/mo
Tool: 99 €/moLabor: 8h/mo × $75 = $600Margin: 61%Benchmark: $1.2K–$3K/mo
Deploy KIME Core workspace tracking 200 prompts across 3 AI engines with full competitor benchmarkingBuild executive-ready monthly dashboard surfacing AI visibility trends, prompt win rates, and competitive gapsOptimize brand mention strategy and content assets using KIME agentic execution insightsIntegrate KIME API data into client reporting stack for unified SEO and AI search performance view
KIME AI Search Auditmid market

Mid-market companies launching a new product or brand refresh who need a one-time deep-dive into AI search visibility before committing to ongoing strategy

$4.5K
Tool: 99 €/mo (2 mo = 198 €)Labor: 40h setup × $75 = $3KMargin: 29%Benchmark: $8K–$20K/project
Audit current brand presence across ChatGPT, Perplexity, and Gemini using KIME prompt trackingBuild competitive AI visibility map identifying where rivals outrank client across 100+ tracked promptsDocument 90-day optimization roadmap with prioritized content, schema, and citation recommendationsTrain client marketing team on KIME dashboard interpretation and prompt performance monitoring
KIME Enterprise Visibility ProgramenterpriseHIGH MARGIN

Enterprise brands with multi-product portfolios and active PR or content teams needing full-spectrum AI search management and competitive intelligence

$6.5K/mo
Tool: 99 €/moLabor: 16h/mo × $75 = $1.2KMargin: 80%Benchmark: $3K–$10K/mo
Deploy KIME Enterprise workspace with custom prompt library spanning all product lines and regional marketsBuild quarterly competitive intelligence reports benchmarking AI share-of-voice across all available enginesOptimize brand authority signals monthly using KIME agentic executions tied to content and PR calendarSet up Slack-integrated alert system for real-time AI visibility drops and competitor surge events

Scale Economics: Based on Starter Offer

Using KIME AI Visibility Starter at $1.3K/client. Platform: 99 €/mo. Labor: 4h/client × $75/hr.

5 clients
$6.3K
MRR
$4.7K net (75%)
10 clients
$12.6K
MRR
$9.5K net (75%)
20 clients
$25.2K
MRR
$19.1K net (76%)

Net = MRR - platform cost - labor (4h/client × $75/hr).

Weighted Avg Margin
60%
Across all offer tiers, incl. labor at $75/hr
Run your agency audit

Investment Decision Framework

Strategic vetting analysis for KIME

Vetting Verdict

Strong Buy

Strong agency fit, low resell friction

Agency Fit(white-label + resell pathway)
75/100
0255075100
Resell Friction(WL + mode + complexity)
60/100
0255075100

Buy If

4
STRATEGIC DRIVER

You manage 5+ client accounts and need multi-tenant workspaces with separate reporting; KIME supports up to 50 seats on Enterprise and unlimited workspaces across all tiers.

STRATEGIC DRIVER

You want to upsell optimization services; KIME's AWX agentic execution layer surfaces content creation, technical fixes, and outreach targets that agencies can implement for clients.

OPERATIONAL FIT

You serve e-commerce, SaaS, or CPG brands and want to differentiate your SEO offering by monitoring AI search visibility alongside Google rankings.

OPERATIONAL FIT

Your clients compete in verticals where ChatGPT, Perplexity, or Gemini drive measurable referral traffic and you can justify a monthly retainer around the Core plan (399 €/mo).

Skip If

4
CAUTION

Your client base is primarily local services (plumbers, dentists, lawyers) where AI search discovery is not a revenue driver.

CAUTION

You need HIPAA or industry-specific compliance certifications; KIME's compliance posture is not detailed in available documentation.

CAUTION

You cannot commit to configuring custom prompts and competitor benchmarks per client; KIME requires upfront setup work before insights appear.

CAUTION

Your clients operate in regions where ChatGPT, Perplexity, or Gemini have limited market penetration and AI search is not a priority.

Bottom Line

KIME monitors how client brands appear across nine LLMs (ChatGPT, Perplexity, Gemini, Claude, and others) in a single workspace, surfacing visibility trends, sentiment analysis, and citation sources that traditional SEO tools miss. Agencies can benchmark client performance against competitors within AI outputs, then execute optimization actions via the AWX agentic layer. Best fit for marketing and SEO agencies serving e-commerce, SaaS, and CPG brands where AI-driven discovery is becoming a revenue lever. White-label and multi-tenant support (up to 50 seats on Enterprise) make it resellable as a monthly retainer, though the Explorer plan's 50-prompt limit may constrain smaller client accounts.

Reality Check

Trade-offs & Gotchas

KIME's value depends on client brands already appearing in LLM outputs; brands with zero AI visibility will see limited optimization recommendations. Setup requires configuring custom prompts per client and competitor benchmarks, adding operational overhead before the first report. Pricing starts at 99 € monthly (Explorer), so agencies need to justify the cost to clients whose AI search traffic is still nascent.

Implementation Reality

Moderate effort: standard configuration with some customization needed

Effort: 4/10Time: 4/10

Academy for KIME

Work through it in order: the course for this service first, then the modules behind it.

Core concepts

The mental model you need to price and scope the work.

  1. Citation Provenance WeightingConcept

    Citation Provenance Weighting is the practice of scoring every source that feeds an AI answer by how much control an agency has over it, then spending optimization effort in that order. Sources split into three tiers: owned assets (client site, docs, case studies), earned assets (earned media, review profiles, partner pages), and rented assets (Reddit threads, YouTube comments, third-party listicles). Rented sources move fastest but can be edited or deleted by strangers, so a client's AI visibility can drop without any change on the client's own site. Pallix maps exactly which sources shape AI recommendations, and Voxoria tracks how answer engines describe a brand across daily prompts, which makes tier drift visible before a retainer review. Agencies that rank sources by control before pitching AEO work avoid promising visibility they cannot defend, and they can show clients why a Reddit thread outranks the client's own pricing page in ChatGPT answers.

  2. Answer Surface FragmentationConcept

    Answer Surface Fragmentation is the condition where a client's organic visibility splits across Google, ChatGPT, Perplexity, Gemini, and AI Overviews, so no single rank report describes the full picture. Agencies that keep reporting one blended visibility number hide the fragmentation and lose the ability to price the work of fixing it. The practical move is to treat each answer surface as its own channel with its own citation sources, then bill monitoring and remediation per surface. Pallix maps the exact sources, such as competitor sites, Reddit threads, and YouTube videos, that shape AI recommendations, which shows how different the citation mix is from classic SERP features. Voxoria tracks named prompts daily and benchmarks competitors across ChatGPT, Gemini, and Perplexity, so an agency can show a client which surface moved and why. KIME extends the same logic to share of voice and sentiment across AI engines. Fragmentation is the reason a retainer scoped to rank tracking alone now undercounts the work.

  3. Third-Party Data Latency DiscountConcept

    Third-Party Data Latency Discount treats every competitor SEO metric as a depreciating asset: the moment a platform reports a ranking, backlink, or AI citation, that reading is already aging. Agencies that quote raw numbers in client decks inherit the accuracy risk the category description flags, because third-party crawlers refresh on their own schedules and AI engines answer differently across sessions. The framework asks one question before any number enters a deliverable: how old is this reading, and what decision does that age disqualify? A backlink alert from Linkody may arrive hours after a link goes live, while a KIME visibility score can shift between morning and afternoon prompts on Perplexity. Price the discount explicitly. If a client is deciding whether to chase a keyword gap this week, a three-day-old SpyFu ranking is usable; if the decision is a same-day content pivot, it is not. Agencies that name the lag in the report keep credibility when the next reading contradicts the last.

Decision and risk

How to judge the fit, and the ways it goes wrong.

  1. Competitor SEO Rule: Score AI Citations Before You Promise Rank MovementEvaluation Rule

    Baseline AI citation share for the client and its top three competitors before committing to any ranking or content deliverable.

  2. When AI Answers Cite Competitors, Audit the Source Layer Before Buying More ContentEvaluation Rule

    Map the citation sources behind AI answers first, then direct content and link spend only at the domains and threads the engines actually quote.

  3. Competitor SEO Intelligence Decision: AI Answer Monitoring vs Classic Rank and Backlink TrackingDecision Framework

    IF your clients ask why ChatGPT, Perplexity, or Gemini describe a competitor instead of them, THEN add AI answer monitoring to the retainer before renewing the classic rank-and-backlink report. IF the client's buying cycle still starts on a Google results page and their pipeline is traceable to organic sessions, THEN keep the budget in rank tracking and link profile work and treat AI citation counts as a secondary metric.

  4. The Citation-Without-Conversion Trap in Competitor SEO IntelligenceFailure Pattern
  5. The Vanity Visibility Trap: Why Competitor SEO Intelligence Stalls at the Dashboard StageFailure Pattern
  6. KIME vs SpyFu vs Linkody (Where Competitor SEO Intelligence Actually Breaks)Tool Comparison

    These three answer different questions: KIME covers how models describe a brand, SpyFu covers what competitors bid and rank on, and Linkody covers who links to whom. Most agencies do not need all three at once; they need to decide which visibility surface their retainer is actually sold against, then add a second source only when a client asks a question the first cannot answer. The risk to price into any contract is latency: third-party data trails live AI answers and SERPs, so report a dated snapshot rather than a real-time claim.

Frequently Asked Questions

Answers about pricing, setup, implementation

KIME tracks how client brands appear in responses from nine LLMs (ChatGPT, Perplexity, Gemini, Claude, and others), measuring visibility, sentiment, and citation sources. Agencies benchmark client performance against competitors within AI outputs, identify optimization opportunities, and execute recommended actions via AWX, an agentic execution layer. It fills the gap between traditional SEO tools and AI-driven search discovery.

KIME offers 3 pricing tiers, starting at 99 €/mo (Explorer) up to 399 €/mo (Core). Agencies typically achieve 60% profit margins when reselling to clients.

KIME supports multi-tenant workspaces and API access for embedded dashboards, enabling agencies to build white-label reporting surfaces. However, the vendor documentation does not explicitly detail a white-label program with custom domain or fully branded client portals. Agencies should confirm with KIME sales whether client-facing surfaces can be fully rebranded or if KIME branding appears in reports.

Yes. KIME natively tracks brand visibility across ChatGPT and Perplexity, along with Gemini, Claude, Microsoft Copilot, Grok, Deepseek, Meta AI, and Google AI Mode. These integrations are built into the core platform, not third-party connectors, so agencies monitor all nine LLMs in a single workspace without additional setup.

Setup typically takes 15-30 minutes per client account once the agency parent account is configured. Agencies must define custom prompts (branded and competitor queries) and set competitor benchmarks before KIME begins tracking. Core and Enterprise plans include onboarding support to accelerate this process.

KIME is best suited for e-commerce stores, SaaS companies, and CPG brands where AI-driven discovery is a meaningful traffic source. These verticals benefit most from monitoring how brands appear in ChatGPT, Perplexity, and Gemini responses, where customer research and product discovery happen. Local services and industries with low AI search penetration are less ideal fits.

Yes. Agencies set competitor benchmarks within KIME and monitor how client brands perform against them across all tracked LLMs. The number of competitors you can benchmark depends on your prompt limit (Explorer: 50 prompts, Core: 200 prompts), so you can structure prompts to cover multiple competitor scenarios.

If a brand does not appear in LLM responses for tracked prompts, KIME will report zero mentions and sentiment. AWX may still surface optimization recommendations (content creation, citation source outreach), but agencies should set realistic expectations that brands with minimal online presence or niche positioning may take time to gain AI visibility.