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. Unlike traditional SEO tools that focus on Google rankings, KIME benchmarks brand mentions, sentiment, and citation sources within LLM outputs, then surfaces optimization recommendations via AWX, an agentic execution layer that can automate content creation, technical fixes, and outreach. Agencies configure prompts per client, set competitor benchmarks, and monitor visibility trends monthly or quarterly. Multi-tenant workspaces (up to 50 seats on Enterprise), API access, and MCP integration enable white-label reporting and embedded dashboards. Best for marketing and SEO agencies serving e-commerce, SaaS, and CPG brands where AI-driven discovery is becoming a revenue lever.
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.
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.
7.5/10
60%
2d 1-2 days
- 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).
- 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
99 €/mo
$499–$1.2K/mo
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 rankingsKIME 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 workflowsAWX 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 sourcesKIME 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
New2026-05-13A 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
Improvement2026-04-21Colored 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
New2026-04-07Track 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
New2026-03-03Shows estimated search traffic behind each prompt's intent with color-coded signal bars for high, medium, and low volume topics.
New feature: Actions
New2026-03-03Enables 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.
2.6× value multiple: invest 99 €/mo and agencies typically charge $499–$1.2K/mo for the work it powers.
Why This Succeeds
Higher is betterClient Results Potential
What your clients actually get
Meaningful improvements: delivers clear, demonstrable value to clients
KIME finds the opportunities. AWX executes them. KIME Agentic Workforce Execution (AWX) elevates how your team works with AI Search.
Reliability Score
How consistently this delivers results
Reliable with proper setup: most agencies see consistent delivery
Trusted by +400 marketing teams
Implementation Challenges
Lower is betterTime to First Revenue
How long until you can start earning
Standard ramp-up: accelerate to 1 day with Academy SOPs
Expect a few days from signup to first client delivery
Setup Effort
What it takes to get running
Moderate setup: some configuration before first delivery
Moderate effort: standard configuration with some customization needed
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.
Pricing
KIME platform cost to your agency
Starts at 99 €/mo (Explorer), scales to 399 €/mo (Core)
Explorer
- 50 prompts tracked
- Track across 2 AI engines
- AWX, 10 agentic executions / month
- 5 seats
Core
- 200 unique prompts tracked
- Track across 3 AI engines
- AWX, 30 agentic executions / month
- 10 seats
Enterprise
- 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
- Marketing agencies
- SEO agencies
- Digital marketing teams
- Agencies without digital presence focus
- Enterprise-only agencies needing on-premise deployment
Hybrid (Project + Retainer)
ai-poweredmixed offersAgency 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.
Funded startups and regional brands wanting to establish baseline AI search presence across ChatGPT and Perplexity
Mid-market B2B companies with active competitors in AI search needing ongoing visibility management across multiple AI engines
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
Enterprise brands with multi-product portfolios and active PR or content teams needing full-spectrum AI search management and competitive intelligence
Scale Economics: Based on Starter Offer
Using KIME AI Visibility Starter at $1.3K/client. Platform: 99 €/mo. Labor: 4h/client × $75/hr.
Net = MRR - platform cost - labor (4h/client × $75/hr).
Investment Decision Framework
Strategic vetting analysis for KIME
Strong Buy
Strong agency fit, low resell friction
Buy If
4You 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.
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.
You serve e-commerce, SaaS, or CPG brands and want to differentiate your SEO offering by monitoring AI search visibility alongside Google rankings.
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
4Your 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.
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
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.
Moderate effort: standard configuration with some customization needed
Academy for KIME
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- AI Visibility GapConcept
The AI Visibility Gap framework measures the divergence between a client's traditional search rankings and their presence in AI-generated answers. As search fragments across LLMs and answer engines, a strong Google position no longer guarantees visibility in ChatGPT, Perplexity, or Gemini responses. Agencies use this gap to identify untapped opportunities and competitive weaknesses. For example, a client may rank top-3 for a high-value keyword but be absent from AI citations, while a competitor with lower traditional rankings dominates AI answers. Tools like KIME, Pallix, and Voxoria monitor brand mentions across AI engines, revealing these discrepancies. By quantifying the gap, agencies can prioritize content and link-building efforts that improve AI citation rates, turning a hidden weakness into a growth lever. This framework is essential as agentic search reduces click-through traffic, making AI visibility a new battleground for client retention.
- Citation Source MappingConcept
Competitor SEO intelligence now extends beyond keyword rankings into the sources that shape AI-generated answers. Citation Source Mapping is a framework for agencies to identify which domains, forums, and content types an AI engine like ChatGPT or Perplexity cites when answering client-relevant queries. By mapping these sources, agencies can pinpoint why a competitor appears in AI responses while the client does not, even when the client ranks well in traditional search. For example, a client may lose AI visibility because Reddit threads dominate citations, a trend highlighted by a recent drop in Reddit's ChatGPT citations. Tools like KIME and Pallix track these citation sources, while Voxoria benchmarks competitor presence. Agencies that adopt this mapping can build content and link strategies targeting the exact sources AI engines favor, turning a visibility gap into a measurable growth lever.
- Visibility Fragmentation IndexConcept
The Visibility Fragmentation Index measures how a brand's organic presence is distributed across traditional search engines and emerging AI platforms. As Google's agentic search and ChatGPT's fan-out queries reshape discovery, agencies must track visibility across multiple surfaces: classic SERPs, AI-generated answers, and LLM citations. This framework helps agencies quantify the risk of over-reliance on any single channel. For example, a client may rank #1 on Google but be absent from ChatGPT responses due to thin adjacent topic coverage, as highlighted by recent analysis of fan-out query behavior. Tools like KIME and Pallix monitor AI visibility, while SpyFu tracks traditional keyword rankings, illustrating the need for a composite view. Agencies that adopt this index early can identify gaps competitors miss, but must weigh the accuracy and latency risks of third-party AI monitoring data.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Competitor SEO Intelligence Rule: Track AI Visibility Before Traditional RankingsEvaluation Rule
Prioritize AI visibility monitoring over traditional rank tracking when client growth depends on emerging search surfaces.
- Competitor SEO Intelligence Rule: Verify AI Visibility Data Before ActingEvaluation Rule
Validate the accuracy and latency of AI visibility data before letting it drive client strategy.
- AI Search Visibility Monitoring vs Traditional SEO Rank TrackingDecision Framework
IF your agency's clients depend on organic discovery and you see early signs that AI-generated answers are siphoning clicks from traditional search, THEN invest in AI search visibility monitoring alongside conventional rank tracking. IF your clients' industries show minimal AI search influence and budgets are tight, THEN defer AI monitoring and focus on proven keyword and backlink intelligence.
- The Visibility-Score Trap: Why Competitor SEO Intelligence Stalls on Vanity MetricsFailure Pattern
- The Citation-Source Blind Spot: Why Competitor SEO Intelligence Misses the AI Answer LayerFailure Pattern
- KIME vs SpyFu vs Linkody (Agency Intelligence Stack)Tool Comparison
Agencies should treat these tools as complementary layers rather than direct substitutes. KIME addresses the emerging AI search gap, SpyFu anchors traditional keyword intelligence, and Linkody covers backlink strategy. The strategic move is to adopt an AI monitoring tool early for leverage, but pair it with established tools to mitigate data reliability risks.
Delivery system
Blueprints and procedures for running it as a service.
- AI Visibility Gap Audit (7-14 days)Implementation Blueprint
A structured audit that benchmarks a client's presence across AI answer engines and traditional search, identifies citation gaps, and delivers a prioritized action plan for content and link-building.
- AI Visibility Gap Audit (Onboarding)Operating Procedure
- Competitor AI Visibility Benchmark (Onboarding)Operating Procedure
- AI Citation Source Mapping (Delivery)Operating Procedure
14 modules selected for KIME
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.