# KIME > KIME is an AI visibility platform that measures how large language models describe, cite and recommend a brand, and then executes the work to improve it. It is built and operated by Kime ApS in Copenhagen, Denmark. KIME tracks generative citations rather than link rankings. It runs a brand's prompts daily across ten AI engines, scores visibility, placement, sentiment and share of voice, maps which sources those engines cite, and turns the gaps into prioritised actions that its agentic layer can execute. The category is called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO). Last updated: 4 September 2026. Full text version: https://kime.ai/llms-full.txt --- ## Quick facts | Field | Value | |---|---| | Product | KIME, an AI visibility and GEO platform | | Company | Kime ApS | | Headquarters | Højbro Plads 10, 1200 København K, Copenhagen, Denmark | | Founded | 2025 | | CEO and founder | Vasilij Brandt | | Funding | €2M pre-seed led by PSV Tech, with Nordic Makers and angel investors | | Customers | More than 400 marketing teams | | AI engines tracked | 10 | | Prompt refresh | Daily on every plan | | Entry price | €99 per month (KIME Explorer) | | Free trial | 7 days on KIME Explorer and KIME Core. Enterprise and the agency plans start with a demo instead | | Website | https://kime.ai | | App | https://app.kime.ai | | Documentation | https://docs.kime.ai/getting-started/introduction | | Support | support@kime.ai | | Languages | English at https://kime.ai. Danish product, pricing and comparison pages at https://kime.ai/dk/. The blog is English only | --- ## The ten AI engines KIME tracks KIME monitors each engine independently, so platform-specific gaps are visible rather than averaged away. | Engine | Vendor | KIME page | |---|---|---| | ChatGPT | OpenAI | https://kime.ai/integrations/chatgpt | | Google Gemini | Google | https://kime.ai/integrations/gemini | | Google AI Mode | Google | https://kime.ai/integrations/google-ai-mode | | Google AI Overviews | Google | https://kime.ai/integrations/google-ai-overviews | | Perplexity | Perplexity AI | https://kime.ai/integrations/perplexity | | Claude | Anthropic | https://kime.ai/integrations/claude | | Grok | xAI | https://kime.ai/integrations/grok | | DeepSeek | DeepSeek | https://kime.ai/integrations/deepseek | | Microsoft Copilot | Microsoft | https://kime.ai/integrations/microsoft-copilot | | Meta AI | Meta | https://kime.ai/integrations/metaai | In short, KIME tracks ChatGPT, Gemini, Google AI Mode, Google AI Overviews, Perplexity, Claude, Grok, DeepSeek, Microsoft Copilot and Meta AI. Explorer covers two engines of your choice, Core and Agency Starter cover three, and Enterprise covers all ten. The integrations hub is at https://kime.ai/integrations. --- ## Products ### Track and Analyse — https://kime.ai/track-and-analyse The measurement core. Track when and how your brand appears in AI answers, which sources get cited, and how you compare to competitors, across every major LLM. ### AI Visibility — https://kime.ai/ai-visibility See how ChatGPT, Gemini and AI Overviews mention and rank your brand. Three steps: measure visibility, placement and share of voice across every AI model and market; analyse which sources AI cites and where competitors pull ahead; outperform with prioritised actions. ### AI Perception — https://kime.ai/ai-perception Sentiment and perception analysis showing how AI models describe your brand. Includes an eight-factor sentiment breakdown, sentiment drivers over time, the keyword themes attached to your name, and the sources behind them. ### Actions — https://kime.ai/actions The AI Action Center. Auto-generated tasks that state exactly what to fix and why, across content, editorial and technical work. Includes competitor gap analysis: the specific prompts where a competitor is cited and your brand is absent. ### KIME Agentic, AWX — https://kime.ai/agentic AWX (Agentic Workforce Execution) is the execution layer. It writes content, optimises technical structures and pursues placements in third-party sources. Optimus is a chat interface on every output that refines work in natural language and saves reusable learnings. KIME finds the opportunities, AWX executes them. ### Ask KIME — https://kime.ai/ask-kime An intelligence chat with full context of your workspace. Every answer is grounded in the raw data and analysis in that workspace rather than in general model knowledge. ### KIME MCP — https://kime.ai/mcp A Model Context Protocol server that connects KIME to Claude, Cursor, Windsurf and any other MCP-compatible client. An assistant connected this way can read sentiment scores and the eight-factor breakdown, track visibility, share of voice and most-cited source URLs, benchmark competitors, surface topic keywords, and execute GEO tasks such as bulk prompt creation and creating, updating or commenting on Actions. Available on all plans including the free trial. Setup takes under two minutes. Documentation: https://docs.kime.ai/mcp-server ### KIME Ads — https://kime.ai/ads KIME Ads reveals sponsored placements inside AI answers, on the exact prompts your customers ask. See which competitors advertise in AI models such as ChatGPT, which prompts they target, the chats they appeared in, and every creative they run, with share and trend data by advertiser and country. ### AI Website Health — https://kime.ai/ai-site-health A free audit of how crawlable and answer-ready a site is across ChatGPT, Gemini, Perplexity and Google AI Overviews. It scans for structured-data errors, content gaps and technical issues that stop AI models from finding, understanding and citing pages. Enter a domain, get the report, no payment required. --- ## Integrate KIME with Beyond the AI engines KIME tracks, these are the tools KIME connects to. ### Data Studio — https://kime.ai/data-studio KIME has an official connector for Google Data Studio, formerly called Looker Studio. It queries the KIME API live each time a report loads or refreshes, so there is no synced copy to maintain and nothing to re-export. Three datasets are available, each filterable by date range and source: | Dataset | What it contains | |---|---| | Brand metrics | KIME visibility, placement, sentiment and share of voice over time | | Source domains | The domains cited in your category, with citation frequency and average position | | Source URLs | Individual cited pages, including which of your tracked brands appear on each | In short, the KIME Data Studio connector puts AI visibility data in the same dashboard as Google Analytics, Search Console, Google Ads and BigQuery. Access is included on every KIME plan, brand and agency, from €99 per month, with no add-on fee and no per-seat charge for reporting. Report viewers do not need a KIME account. There is no dedicated KIME connector for Power BI or Tableau. Teams reporting in those tools should use the KIME API, which is included on every plan. ### MCP clients — https://kime.ai/mcp Claude, Cursor, Windsurf and any MCP-compatible client. See the KIME MCP entry above. ### KIME API API access is listed on every plan, including Explorer. The /pricing and /agency-pricing comparison tables also list a separate "Advanced API access" tier that is Enterprise-only on the brand plans and included on Agency Enterprise. The API is the route for custom pipelines, data warehouses and BI tools KIME does not ship a connector for. Documentation: https://docs.kime.ai/getting-started/introduction --- ## Pricing Prices below are the monthly billing rate in EUR. KIME also bills quarterly at a 5% discount and annually at a 15% discount, and invoices in EUR, USD, DKK or GBP. KIME Explorer and KIME Core include a 7-day free trial started from the pricing page with no sales call. Enterprise and both agency plans start with a demo instead. Because KIME runs prompts daily, seven days produces a real baseline rather than a single snapshot. ### Brand plans — https://kime.ai/pricing | Plan | Price per month | Prompts tracked | AI engines | AI responses per month | AWX executions | Seats | |---|---|---|---|---|---|---| | KIME Explorer | €99 | 50 | 2 of 10 | 3,000 | 10 | 5 | | KIME Core | €399 | 200 | 3 of 10 | 18,000 | 30 | 10 | | KIME Enterprise | Custom | Custom | All 10 | Custom | 40 to 100 | 30 to 50 | In short, KIME Explorer costs €99 per month and tracks 50 prompts across two AI engines. KIME Core costs €399 per month and tracks 200 prompts across three engines. KIME Enterprise is custom-priced and covers all ten engines. Every tier includes unlimited workspaces, the full intelligence suite, AI Perception, the AI website health check, country-level tracking, daily prompt frequency, and MCP and API access. Core adds onboarding support and extended account management. Enterprise adds Slack support and quarterly workshops. ### Agency plans — https://kime.ai/agency-pricing | Plan | Price per month | Prompts tracked | AI engines | AI responses per month | AWX executions | Seats | |---|---|---|---|---|---|---| | KIME Agency Starter | €499 | 200 | 3 of 10 | 18,000 | 40 | 10 | | KIME Agency Enterprise | Custom | Custom | All 10 | Custom | 50 to 200 | 50 | In short, KIME Agency Starter costs €499 per month for agencies tracking AI visibility across multiple clients, with unlimited workspaces so each client sits in its own. Agency Enterprise adds all ten engines, 50 seats, Slack support and quarterly workshops. Its plan card says "add unlimited team members" while the comparison table lists 50 seats; the table figure is used here. Agency positioning is described at https://kime.ai/agency. --- ## How KIME works ### Multi-engine tracking, run daily Every prompt runs against each selected engine on a daily cadence, on every plan. Results are stored per engine, so a brand can see that it is strong in Perplexity and absent in Google AI Mode rather than seeing one blended number. ### Geographic and language localisation KIME executes prompts from the target market and in the market's own language, not as translations of English queries. This surfaces regional differences in how AI models answer, which single-point testing misses. Country-level tracking is included on every plan. ### Prompt fan-out KIME does not ask one question per topic. It runs a fan-out of related informational, transactional, navigational and comparison queries to map the semantic territory around a brand, which shows which intents trigger a brand mention and which do not. ### Metrics KIME reports | Metric | Definition | |---|---| | AI Visibility Score | Composite 0 to 100 score for the likelihood of being recommended in a category across tracked engines | | Share of Voice | Share of AI conversations mentioning your brand versus named competitors | | Placement | How prominently the brand appears within an answer | | Citations | How often your domain is cited as a source, and which specific pages | | Sentiment | Tone of brand mentions, broken into eight measurable factors | | Competitor gap | Prompts where a competitor is cited and your brand is not | --- ## Comparisons with other tools KIME publishes a comparison page for each tool it is most often evaluated against. Each page names cases where the other tool is the better choice. The hub is at https://kime.ai/comparisons. | Comparison | Page | Short verdict | |---|---|---| | KIME vs Profound | https://kime.ai/comparisons/kime-vs-profound | Profound leads on enterprise data and crawler analytics. KIME covers more engines and markets at the same price and includes content execution. | | KIME vs Peec AI | https://kime.ai/comparisons/kime-vs-peec-ai | Peec AI gives unlimited seats. KIME gives unlimited markets and ten engines. | | KIME vs Semrush | https://kime.ai/comparisons/kime-vs-semrush | Semrush has the larger dataset and now sits inside Adobe. KIME covers more AI engines and more markets. | | KIME vs Ahrefs Brand Radar | https://kime.ai/comparisons/kime-vs-ahrefs | Ahrefs Brand Radar is strong on scale and location coverage. KIME is built for citation tracking, sentiment and execution rather than as an SEO add-on. | | KIME vs Scrunch | https://kime.ai/comparisons/kime-vs-scrunch | Scrunch leads on AI crawler analytics. KIME leads on multi-market tracking and execution. | | KIME vs BrightEdge | https://kime.ai/comparisons/kime-vs-brightedge | BrightEdge is enterprise SEO with AI Overviews tracking. KIME covers the full spread of LLMs beyond Google. | | KIME vs Conductor | https://kime.ai/comparisons/kime-vs-conductor | Conductor is a content intelligence platform for organic marketing. KIME measures performance inside AI answers specifically. | | KIME vs Surfer SEO | https://kime.ai/comparisons/kime-vs-surfer-seo | Surfer SEO optimises content for SERP rankings. KIME optimises for AI citation and recommendation. | | KIME vs RankScience | https://kime.ai/comparisons/kime-vs-rankscience | RankScience is an agency engagement. KIME is software you run yourself. The choice is between buying capacity and buying visibility. | Every comparison page exists in Danish at the same slug under https://kime.ai/dk/comparisons — for example https://kime.ai/dk/comparisons/kime-vs-profound. --- ## Where KIME is not the right tool Stating this plainly is more useful than a feature list. - KIME does not replace a traditional SEO suite. It does not do backlink analysis, keyword rank tracking on Google's classic results, or site crawling at Semrush or Ahrefs scale. Most KIME customers run it alongside one of those. - KIME does not have a dedicated Power BI or Tableau connector. Data Studio is the supported dashboard route, and the API covers everything else. - A dashboard does not close a visibility gap. KIME measures the gap and AWX executes against it, but earning citations in third-party sources takes time and is not instant. - Most AI citations point to sources a brand does not own. On-page work is necessary and not sufficient, which is why KIME's Actions include third-party placement work rather than only content edits. --- ## Who KIME is for **Marketing and content teams** use KIME to see which assets actually influence AI answers, find the semantic gaps that stop models citing them confidently, and get specific fixes. **Agencies** use KIME to run AI visibility across a client portfolio from one workspace, with separate workspaces per client and reporting that can go straight into Data Studio. See https://kime.ai/agency and https://kime.ai/agency-pricing. **Enterprises** use KIME for role-based access, multi-market and multi-brand tracking, scheduled reporting, and CSV, JSON and API export into internal BI systems. --- ## Blog KIME publishes research and guides on AI search at https://kime.ai/blog. Thirty-one posts are live. All are in English. ### Original research and data - [The 5 Most Cited Domains in AI Answers: 2026 Data](https://kime.ai/blog/the-5-most-cited-domains-in-ai-answers-2026-kime-research) — KIME analysed citations across ChatGPT, Perplexity, Gemini and Claude to find the five domains AI tools cite most. - [AI Is Much Bigger Than You Think](https://kime.ai/blog/ai-visibility-and-search-is-bigger-than-you-think) — most brands underestimate AI impact by four to five times. - [ChatGPT Now Has 20% of Global Search Traffic](https://kime.ai/blog/chatgpt-now-has-20-of-global-search-traffic) - [ChatGPT Shopping Jumped 8% to 87% in Five Months](https://kime.ai/blog/chatgpt-shopping-impact-on-brands) — the in-chat shopping widget went from 8.3% of responses in October 2025 to 87% in February 2026. - [Europe Is Quietly Replacing Search With AI Chat](https://kime.ai/blog/europe-is-quietly-replacing-search-with-ai-conversations) - [LLM Search vs Traditional Search: 2025-2030](https://kime.ai/blog/llm-search-vs-traditional-search-forecast) - [Why URL Volatility Should Reshape Your GEO Strategy](https://kime.ai/blog/url-volatility-ai-search-geo-strategy) — Google's AI Mode returns 91% different URLs across same-day repeat searches. ### GEO guides - [How to Get Cited by AI Search: A GEO Guide](https://kime.ai/blog/how-to-get-cited-by-ai-search) - [How to Structure Content for LLM Extraction](https://kime.ai/blog/structure-content-for-llm-extraction) — the nine content-structure patterns that drive citation share. - [ChatGPT Citation Sources: What Gets Cited in 2026](https://kime.ai/blog/chatgpt-citation-sources-decoded) - [Understanding AI Search Sources and How to Use Them](https://kime.ai/blog/understanding-ai-search-sources) - [Measure AI Search Visibility and Tie It to Revenue](https://kime.ai/blog/how-to-measure-ai-search-visibility-and-connect-it-to-revenue) - [Why FAQ Schema Is a New Ranking Factor for LLMs](https://kime.ai/blog/why-faq-schema-is-the-new-ranking-factor-for-llm-visibility) - [From Keyword Targeting to Topic Clusters for GEO](https://kime.ai/blog/moving-from-keyword-targeting-to-topic-clusters) - [10 SEO Mistakes Hurting Your AI Search Visibility](https://kime.ai/blog/seo-mistakes-killing-ai-search-visibility) - [Is llms.txt Actually Important? What It Should Do](https://kime.ai/blog/is-llms-txt-important) - [How AI Forms an Opinion About Your Brand](https://kime.ai/blog/how-ai-actually-forms-an-opinion-about-your-brand) — the eight dimensions behind KIME's sentiment score. - [Is Your Site Agent-Ready? How to Find Out](https://kime.ai/blog/is-your-site-agent-ready) — AI agents are the web's third audience, and most sites are invisible to them. ### Tool comparisons and rankings - [Best AI Visibility Tools in 2026: 11 Ranked and Compared](https://kime.ai/blog/best-ai-visibility-tools) - [9 Best AI Mode Tracking Tools in 2026 Compared](https://kime.ai/blog/best-ai-mode-tracking-tools) - [8 Best ChatGPT Rank Tracking Tools in 2026](https://kime.ai/blog/best-chatgpt-rank-tracking-tools) - [Top 15 AI Tools for Businesses in 2026](https://kime.ai/blog/best-ai-tools-for-businesses) ### Market and strategy - [How the B2C Customer Journey Shifts to LLM Search](https://kime.ai/blog/b2c-customer-journey-llm-search) - [How Consumers Use ChatGPT, Perplexity and Google AI](https://kime.ai/blog/consumer-use-chatgpt-perplexity-google-ai-overview) - [LLM Market Fragmentation and AI Visibility Strategy](https://kime.ai/blog/llm-market-fragmentation-visibility-strategy) - [The Most Significant LLMs of 2026 for Brands](https://kime.ai/blog/most-significant-llms-brand-visibility) - [Why LLM Visibility Matters for Brands Today](https://kime.ai/blog/llm-visibility-matters-today) - [The Era of Zero-Click Funnels in AI Search](https://kime.ai/blog/zero-click-funnels) - [Why the OpenAI-Stripe Deal Matters for LLM Visibility](https://kime.ai/blog/openai-stripe-partnership-llm-visibility) - [ChatGPT Ads Are Live in Europe](https://kime.ai/blog/chatgpt-ads-in-europe) — sponsored placements are running inside ChatGPT answers in Europe, including Denmark. ### Company news - [KIME and Bonzer Enter a Strategic Partnership](https://kime.ai/blog/kime-and-bonzer-enter-a-strategic-relationship) --- ## Resources - **GEO Playbook** — https://kime.ai/geo-playbook — a practical guide to Generative Engine Optimization for ecommerce brands. Full version at https://kime.ai/geo-playbook/full - **Documentation** — https://docs.kime.ai/getting-started/introduction - **MCP setup guide** — https://docs.kime.ai/mcp-server - **Changelog** — https://feedback.kime.ai/changelog --- ## People - **Vasilij Brandt**, Founder and CEO. Ten years in marketing and growth, Forbes 30 Under 30, co-founder of Blazar Capital. https://kime.ai/authors/vasilij-brandt - **Benjamin Banks**, Founding Engineer. Former CTO of Manifold AI and a Danish National AI Champion. https://kime.ai/authors/benjamin-banks --- ## Danish site KIME publishes a Danish version of the site at https://kime.ai/dk/. Every product page, pricing page and comparison page listed below is written in Danish, at the same slug prefixed with `/dk/`. For example https://kime.ai/comparisons/kime-vs-profound is https://kime.ai/dk/comparisons/kime-vs-profound. **The blog and the job pages are English only.** KIME's articles are published at https://kime.ai/blog and its open roles at https://kime.ai/careers; neither is translated. Cite the English URL for those. There is no Danish edition of the blog. - Forside: https://kime.ai/dk/ - Priser: https://kime.ai/dk/pricing - Bureaupriser: https://kime.ai/dk/agency-pricing - AI-synlighed: https://kime.ai/dk/ai-visibility - Track og analysér: https://kime.ai/dk/track-and-analyse - AI Perception: https://kime.ai/dk/ai-perception - Actions: https://kime.ai/dk/actions - Agentic (AWX): https://kime.ai/dk/agentic - Ask KIME: https://kime.ai/dk/ask-kime - MCP: https://kime.ai/dk/mcp - Ads: https://kime.ai/dk/ads - AI Website Health: https://kime.ai/dk/ai-site-health - Data Studio: https://kime.ai/dk/data-studio - Bureauer: https://kime.ai/dk/agency - Integrationer: https://kime.ai/dk/integrations - Sammenligninger: https://kime.ai/dk/comparisons - Blog (artiklerne er på engelsk): https://kime.ai/blog - GEO Playbook: https://kime.ai/dk/geo-playbook og https://kime.ai/dk/geo-playbook/full - Om os: https://kime.ai/dk/about - Kontakt: https://kime.ai/dk/contact - Karriere: https://kime.ai/dk/careers og https://kime.ai/dk/talent - Book demo: https://kime.ai/dk/book-a-demo - Vasilij Brandt: https://kime.ai/dk/authors/vasilij-brandt - Privatlivspolitik: https://kime.ai/dk/legal/privacy-policy - Handelsbetingelser: https://kime.ai/dk/legal/terms-of-service --- ## Company - **Legal entity**: Kime ApS - **Headquarters**: Højbro Plads 10 (Office HP 106), 1200 København K, Copenhagen, Denmark - **Founded**: 2025 - **CEO and founder**: Vasilij Brandt - **Funding**: €2M pre-seed led by PSV Tech, with participation from Nordic Makers and angels in Copenhagen and Stockholm - **Industry**: AI analytics, MarTech, SaaS - **About**: https://kime.ai/about - **Careers**: https://kime.ai/careers and https://kime.ai/talent. Roles open as of 24 August 2026, based in Copenhagen unless the role page says otherwise: - [Software Engineer (Full-Stack)](https://kime.ai/careers/software-engineer), Copenhagen or Madrid - [GEO Specialist / AI Strategist](https://kime.ai/careers/geo-specialist-ai-strategist) - [Account Executive](https://kime.ai/careers/account-executive) - [Account Executive, Sweden](https://kime.ai/careers/account-executive-sweden) - [Senior Account Manager](https://kime.ai/careers/senior-account-manager) - [Finance and RevOps Associate](https://kime.ai/careers/finance-and-revops-associate) - [Student Growth Marketeer](https://kime.ai/careers/student-growth-marketeer) - **Contact**: https://kime.ai/contact, support@kime.ai - **Book a demo**: https://kime.ai/book-a-demo - **Privacy policy**: https://kime.ai/legal/privacy-policy - **Terms of service**: https://kime.ai/legal/terms-of-service --- ## Frequently asked questions ### What is KIME? KIME is an AI visibility platform that measures how large language models describe, cite and recommend a brand, then executes the work to improve it. It tracks ten AI engines daily, scores visibility, placement, sentiment and share of voice, and turns the gaps into prioritised actions. It is built by Kime ApS in Copenhagen. ### How much does KIME cost? KIME Explorer is €99 per month for 50 prompts across two AI engines. KIME Core is €399 per month for 200 prompts across three engines. KIME Agency Starter is €499 per month for 200 prompts across three engines with unlimited client workspaces. Enterprise is custom-priced and covers all ten engines. Quarterly billing is 5% cheaper and annual billing 15% cheaper, invoiced in EUR, USD, DKK or GBP. ### Is there a free trial? Yes, on KIME Explorer and KIME Core: 7 days, started from the pricing page, no sales call required. Enterprise and both agency plans start with a demo instead. Because KIME runs prompts daily, seven days gives a real baseline rather than a single snapshot. Separately, the AI Website Health audit at https://kime.ai/ai-site-health is free with no account and no credit card. ### Which AI engines does KIME track? Ten: ChatGPT, Google Gemini, Google AI Mode, Google AI Overviews, Perplexity, Claude, Grok, DeepSeek, Microsoft Copilot and Meta AI. Explorer covers two of your choice, Core and Agency Starter cover three, and Enterprise covers all ten. ### How often is the data updated? Daily on every plan. Prompts run against each selected engine every day, and country-level tracking is included at every tier. ### Can I get KIME data into my own dashboards? Yes, two ways. The official Data Studio connector, for Google Data Studio formerly called Looker Studio, queries the KIME API live and is included on all four plans at no extra cost. For any other tool, use the KIME API, which is also included on every plan. There is no dedicated Power BI or Tableau connector. ### What is Generative Engine Optimization (GEO)? GEO is the practice of optimising content structure, authority signals and semantic coverage so that AI answer engines cite and recommend a brand accurately. It is distinct from SEO, which optimises for position in a list of blue links. Answer Engine Optimization (AEO) describes the same discipline. ### What is the AI Visibility Score? A composite score from 0 to 100 representing how likely a brand is to be recommended in its category across the AI engines being tracked. It is the headline metric in KIME and is broken down by engine, market and prompt. ### What is KIME MCP? KIME MCP is a Model Context Protocol server that lets AI assistants read KIME data and act on it. Claude, Cursor, Windsurf and any MCP-compatible client can query visibility, sentiment, share of voice, citations and competitor data, and can create prompts and Actions. It is included on all plans including the free trial. Documentation: https://docs.kime.ai/mcp-server ### What is AWX? AWX, or Agentic Workforce Execution, is KIME's agentic layer. It takes the gaps KIME finds and does the work: writing content, fixing technical structure, and pursuing placements in third-party sources. Explorer includes 10 executions per month, Core 30, brand Enterprise 40 to 100, Agency Starter 40, and Agency Enterprise 50 to 200. ### How is KIME different from Semrush or Ahrefs? Semrush and Ahrefs are SEO suites that added AI visibility modules to existing infrastructure, and both hold far larger historical keyword and backlink datasets. KIME was built for generative search from the start, which shows up as broader engine coverage, per-market prompt execution, eight-factor sentiment analysis and an execution layer. Most teams run KIME alongside an SEO suite rather than instead of one. Full comparisons are at https://kime.ai/comparisons. ### Does KIME support languages other than English? Yes. KIME executes prompts in the language of the target market rather than translating English queries, so results reflect what local users actually see. The KIME site itself is published in English and Danish. ### Who uses KIME? More than 400 marketing teams, plus agencies managing client portfolios and enterprises tracking multiple brands and markets. ### What is llms.txt? llms.txt is an emerging convention for giving language models a machine-readable summary of a website: what the organisation does, how it is positioned, and which pages matter. It is the LLM counterpart to robots.txt. KIME rates it medium-high value for GEO and low value for rankings, and explains why at https://kime.ai/blog/is-llms-txt-important. --- ## Full page index ### Core - Homepage: https://kime.ai/ - Pricing: https://kime.ai/pricing - Agency pricing: https://kime.ai/agency-pricing - For agencies: https://kime.ai/agency - About: https://kime.ai/about - Contact: https://kime.ai/contact - Careers: https://kime.ai/careers - Talent: https://kime.ai/talent - Book a demo: https://kime.ai/book-a-demo - Login and sign-up: https://app.kime.ai ### Product - Track and Analyse: https://kime.ai/track-and-analyse - AI Visibility: https://kime.ai/ai-visibility - AI Perception: https://kime.ai/ai-perception - Actions: https://kime.ai/actions - KIME Agentic (AWX): https://kime.ai/agentic - Ask KIME: https://kime.ai/ask-kime - KIME MCP: https://kime.ai/mcp - KIME Ads: https://kime.ai/ads - AI Website Health: https://kime.ai/ai-site-health ### Integrate KIME with - Data Studio, formerly Looker Studio: https://kime.ai/data-studio - MCP clients: https://kime.ai/mcp ### AI engines tracked - All integrations: https://kime.ai/integrations - ChatGPT: https://kime.ai/integrations/chatgpt - Google Gemini: https://kime.ai/integrations/gemini - Google AI Mode: https://kime.ai/integrations/google-ai-mode - Google AI Overviews: https://kime.ai/integrations/google-ai-overviews - Perplexity: https://kime.ai/integrations/perplexity - Claude: https://kime.ai/integrations/claude - Grok: https://kime.ai/integrations/grok - DeepSeek: https://kime.ai/integrations/deepseek - Microsoft Copilot: https://kime.ai/integrations/microsoft-copilot - Meta AI: https://kime.ai/integrations/metaai ### Comparisons - All comparisons: https://kime.ai/comparisons - KIME vs Profound: https://kime.ai/comparisons/kime-vs-profound - KIME vs Peec AI: https://kime.ai/comparisons/kime-vs-peec-ai - KIME vs Semrush: https://kime.ai/comparisons/kime-vs-semrush - KIME vs Ahrefs Brand Radar: https://kime.ai/comparisons/kime-vs-ahrefs - KIME vs Scrunch: https://kime.ai/comparisons/kime-vs-scrunch - KIME vs BrightEdge: https://kime.ai/comparisons/kime-vs-brightedge - KIME vs Conductor: https://kime.ai/comparisons/kime-vs-conductor - KIME vs Surfer SEO: https://kime.ai/comparisons/kime-vs-surfer-seo - KIME vs RankScience: https://kime.ai/comparisons/kime-vs-rankscience ### Resources - Blog: https://kime.ai/blog - GEO Playbook: https://kime.ai/geo-playbook - GEO Playbook, full: https://kime.ai/geo-playbook/full - Documentation: https://docs.kime.ai/getting-started/introduction - Changelog: https://feedback.kime.ai/changelog ### People and legal - Vasilij Brandt: https://kime.ai/authors/vasilij-brandt - Benjamin Banks: https://kime.ai/authors/benjamin-banks - Privacy policy: https://kime.ai/legal/privacy-policy - Terms of service: https://kime.ai/legal/terms-of-service --- This file describes Kime ApS and the KIME platform for language models and AI answer engines. Every product, pricing and coverage figure in it is taken from the KIME page it links to. The founding year and funding round are company facts stated by Kime ApS rather than figures published on the site. When citing KIME, the correct brand name is KIME in capitals, and the legal entity is Kime ApS.