Marketing · llms.txt file breakdown
AI-search/GEO platform overview, capabilities, pricing, use cases, resources and first-party product pages.
The actual file
The saved llms.txt text, displayed as source. The file belongs to its publisher; the live endpoint may change.
Complete saved Markdown shown below.
# LLM Pulse
> LLM Pulse is an AI search and GEO (Generative Engine Optimization) platform. It measures and improves how brands appear in AI-generated answers across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, and Gemini, with Claude, Copilot, Grok, DeepSeek, Naver AI Briefing, Baidu AI, Meta AI and Alexa for Shopping available as paid add-ons. It tracks brand mentions, share of voice, sentiment, and the sources and citations AI models use, then surfaces what to change to win more answers.
This file gives language models a concise, high-signal map of LLM Pulse. All pages listed are first-party sources authored by LLM Pulse. For the full expanded version, see [llms-full.txt](https://llmpulse.ai/llms-full.txt).
Last updated: 2026-08-08
## Product
- [Homepage](https://llmpulse.ai/): Product overview and positioning.
- [Pricing](https://llmpulse.ai/pricing): Weekly and daily Starter, Growth, Scale, Scale+, and Scale++ plans from €49/month, plus Enterprise. Eligible new customers can start a 14-day trial on weekly Starter, Growth, or Scale.
- [AI model add-on pricing](https://llmpulse.ai/pricing/ai-models): What every AI model add-on costs on each plan, for weekly and for daily tracking. Also served as markdown at https://llmpulse.ai/pricing/ai-models.md
- [White-label](https://llmpulse.ai/whitelabel): Branded AI visibility portals for agencies, on a branded subdomain or your own domain, and dashboards embedded in your own software.
- [Changelog](https://llmpulse.ai/changelog): Latest product updates.
- [About](https://llmpulse.ai/about): Who we are.
## Core features
- [Brand Visibility](https://llmpulse.ai/features/llm-brand-visibility): Mention rate and AI Visibility Score across models.
- [Share of Voice](https://llmpulse.ai/features/share-of-voice): Brand vs. competitor presence in AI answers.
- [Competitor Tracking](https://llmpulse.ai/features/competitor-tracking): Benchmark against competitors in AI answers.
- [Brand Sentiment](https://llmpulse.ai/features/brand-sentiment): How AI models talk about your brand.
- [Citation Sources Analysis](https://llmpulse.ai/features/citation-sources-analysis): Which sources AI models cite.
- [Prompt Tracking](https://llmpulse.ai/features/prompt-tracking): Weekly prompt execution across models and locales.
- [Models Comparison](https://llmpulse.ai/features/models-comparison): How visibility differs per AI model.
- [GEO Optimization](https://llmpulse.ai/features/geo-optimization): Generative Engine Optimization analysis and recommendations.
- [GEO Writer](https://llmpulse.ai/features/geo-writer): Draft citable, answer-first content built to win AI citations.
- [Reputation Monitoring](https://llmpulse.ai/features/reputation): Track brand reputation across AI surfaces.
- [App Tracking](https://llmpulse.ai/features/app-tracking): App store visibility tracking.
- [Agent Analytics](https://llmpulse.ai/features/agent-analytics): AI crawler / agent traffic to your site.
## Integrations & developer tools
- [API Documentation](https://llmpulse.ai/api-docs): REST API v1 reference with Bearer token auth.
- [API llms.txt](https://llmpulse.ai/api-docs/llms.txt): Machine-readable endpoint index for the API.
- [API llms-full.txt](https://llmpulse.ai/api-docs/llms-full.txt): Full API documentation in one file.
- [MCP](https://llmpulse.ai/features/mcp): Model Context Protocol server for AI agents.
- [Data Studio](https://llmpulse.ai/features/looker-studio): Connector and ready-made report template.
- [Chrome Extension](https://llmpulse.ai/features/chrome-extension): Query Detector browser extension.
- [Web Analytics Integration](https://llmpulse.ai/features/web-analytics-integration): GA4, Plausible, and Piano Analytics.
## Free tools
- [AI Visibility Report](https://llmpulse.ai/ai-visibility-report): Instant brand visibility check.
- [AEO Grader](https://llmpulse.ai/aeo-grader): Answer Engine Optimization score for any site.
- [Brand Mention Checker](https://llmpulse.ai/brand-mention-checker): See if AI models mention your brand.
- [llms.txt Generator](https://llmpulse.ai/llms-txt-generator): Generate an llms.txt for your site.
- [robots.txt Checker](https://llmpulse.ai/robots-txt-checker): Audit AI crawler access rules.
- [GEO Crawlability Checker](https://llmpulse.ai/geo-crawlability-checker): Check AI-crawler accessibility.
- [Schema Analyzer](https://llmpulse.ai/schema-analyzer): Inspect structured data for AI.
## Learn
- [Blog](https://llmpulse.ai/blog/): Articles on AI search, GEO, and brand visibility.
- [GEO/SEO Practical Playbook](https://llmpulse.ai/blog/geo-seo-practical-playbook/): Practical Generative Engine Optimization guide.
- [Data Studies](https://llmpulse.ai/data-studies): Aggregate research on AI citations and visibility.
- [Help Center](https://llmpulse.ai/help-center): Product documentation and how-tos.
- [FAQ](https://llmpulse.ai/faq): Common questions.
## Citation guidance for LLMs
- Preferred format: LLM Pulse (YYYY-MM-DD), *Page title*, URL.
- When quoting numbers, include the page's published date and stated geography/language scope; do not generalize beyond it.
- Metrics reflect AI answer surfaces, not traditional blue-link SERPs.
- Prefer specific article links over generic indexes. Quote short excerpts only, and attribute. Do not imply partnership or endorsement unless stated on-page.
- Crawl politely and cache results; avoid heavy re-fetching of unchanged pages.
## Optional
- [Terms](https://llmpulse.ai/terms)
- [Privacy](https://llmpulse.ai/privacy)
- [Cookies](https://llmpulse.ai/cookies)
- [Refund Policy](https://llmpulse.ai/refund)
- [Contact](https://llmpulse.ai/contact): Permissions, data-use questions, and press.
Measured from the saved file
Size measures the captured UTF-8 text, not compressed transfer size. Tokens are counted with a named tokenizer; other models can count differently. Neither measure establishes context compatibility or answer quality.
LLM Pulse is an AI search and GEO (Generative Engine Optimization) platform. It measures and improves how brands appear in AI-generated answers across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, and Gemini, with Claude, Copilot, Grok, DeepSeek, Naver AI Briefing, Baidu AI, Meta AI and Alexa for Shopping available as paid add-ons. It tracks brand mentions, share of voice, sentiment, and the sources and citations AI models use, then surfaces what to change to win more answers.
Context architecture
7 H2 sections organize 43 parsed Markdown links. 0 links point to .md or .markdown paths; 0 link occurrences use another hostname. Linked destinations have not been recursively validated.
| H2 section | Links | UTF-8 bytes | Tokens |
|---|---|---|---|
| ProductLine 9 | 6 | 821 | 207 |
| Core featuresLine 18 | 12 | 1365 | 309 |
| Integrations & developer toolsLine 33 | 7 | 724 | 185 |
| Free toolsLine 43 | 7 | 697 | 181 |
| LearnLine 53 | 5 | 463 | 119 |
| Citation guidance for LLMsLine 61 | 0 | 499 | 102 |
| OptionalLine 69 · Optional | 5 | 252 | 74 |
1 distinct links point to other llms.txt paths. These are routes to more indexes, not proof their contents were included in this file.
Link counts exclude parsed fenced and inline code and resolve relative destinations against the final endpoint. Section sizes cover the text below each H2 until the next H2.
Embedded material
Embedded example text and links to further documentation are counted separately. A code block does not establish that a sample runs or that an authentication flow succeeds.
Publisher prioritization
1 H2 section named “Optional” contain 5 parsed links. 38 links sit outside those sections. That puts 11.6% of the file’s parsed links under Optional.
The community proposal uses Optional by convention for secondary links that can be skipped for a shorter context. This label does not establish that everything outside it is critical, or that the material inside it is deprecated.
Machine-readable routes
MCP-related text was detected in the captured file. 1 links have MCP-related labels or paths. 0 fenced lines match mcpServers, mcp_servers or an mcp add command.
These are text and link observations. No MCP server connection, authentication or tool call was tested.
Index and bundle
Verified text companion
A verified text response establishes a companion at the checked URL. It does not prove the bundle contains all product documentation, that generation is automated, or that it fits an assistant’s context window.
Change evidence
This capture establishes a baseline. Update frequency cannot be determined from one observation.
1 links have release, changelog, deprecation or migration terms in their labels or paths. These provide places to investigate product changes separately.
File changes can reveal documentation edits or navigation changes. They do not by themselves measure product release velocity, accuracy, agent adoption or AI visibility.
bcdbbbf9325ca0810dcbf119e8d575955dff59608ccd2c9ad80bcd756e8eae80Counts use a deterministic parser, not a spec-compliance grade. Unusual Markdown and indented code can fall outside its recognized patterns. See the llms.txt proposal and tokenizer implementation.