Generate llms.txt and llms-full.txt at your domain root so AI crawlers can read your offer at a glance.
llms.txt is a plain text file at your domain root that gives AI models a one-page summary of your offer, categories, features, FAQ, and sources. RiseChat generates both variants from your project content. Pick the file types, click Generate, copy the content, and upload it to your site. No plugin, no build step, no code change.
What it looks like
A plain text file placed at the root of your site that helps AI models understand what your site is about.
RiseChat generates both variants on the backend and shows the latest saved content for the active project.
Backend accepted the generation
LLM Generation File
DoneLLM Full Generation File
DoneImplementation
llms.txt is a plain Markdown file served at /llms.txt. AI crawlers, tools, and assistants read it to understand your site at a glance.
Upload the file directly to your web server's document root, the same folder that holds index.html or index.php. The file name must be exactly llms.txt.
llms.txt in the same folder as llms-full.txt.public_html/, www/, or htdocs/.https://yourdomain.com/llms.txt — if you see raw Markdown, you are done.After publishing, visit /llms.txt in a browser to confirm. GPTBot, ClaudeBot, PerplexityBot, and other AI crawlers can read it on a revisit; model refresh timing still varies.
Files available in the project
Copy the content or open the target path on the site
# RiseChat.ai > RiseChat.ai is an AI Visibility platform for Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). It helps brands become easier for AI Overviews, AI search engines, ChatGPT, Perplexity, Gemini, Claude, Grok, and other large language models to understand, cite, summarize, and recommend. The platform audits site content, generates and injects Schema JSON-LD, publishes llms.txt and llms-full.txt context files, optimizes key pages for AI retrieval, and monitors brand perception, citations, and prompt performance across AI systems. The default language is English. ## Product - [AI Visibility Platform](https://risechat.ai): GEO/AEO service that turns brand content into AI-citable answers, with structured data injection, llms.txt publishing, key page optimization, and prompt monitoring. - [Content Audit](https://risechat.ai/features/project-overview): working list of every URL RiseChat tracks in your project, with page type, status, last crawl timestamp, and signals AI crawlers check first (JS-rendered, meta tags, JSON-LD present). - [Schema JSON-LD + llms.txt](https://risechat.ai/features/schema): audit, generation, and deployment of structured data (Organization, WebSite, WebPage, SoftwareApplication, FAQPage, HowTo, BreadcrumbList, Article, BlogPosting, Service) plus llms.txt and llms-full.txt context files for AI crawlers. - [Monitoring](https://risechat.ai/features/monitoring): measurement of brand mentions, citations, sentiment, and Share of Voice (SOV) across AI models, with annotations and trend tracking. - [Prompts](https://risechat.ai/features/prompts): management of tracked prompts, average brand position in answers (1-10), 30-day history, and visibility gap detection. - [Dashboard](https://risechat.ai/features/dashboard): central panel showing visibility, sentiment, citations, Schema health, trust, and cross-model comparison. ## Solutions by industry - [E-commerce](https://risechat.ai/#industry-examples): product card optimization, category structure, and Schema for store listings cited in AI shopping recommendations. - [SaaS](https://risechat.ai/#industry-examples): feature page, pricing, and comparison optimization so AI models describe the product, alternatives, and use cases accurately. - [Agencies](https://risechat.ai/#industry-examples): white-label AI Visibility audits and Schema deployment for client sites. - [B2B services](https://risechat.ai/#industry-examples): expert content restructuring into direct answers and FAQ that AI engines can match to buyer-intent queries. ## Use cases - [Why AI cites competitors instead of your brand](https://risechat.ai/#industry-examples): examples showing how AI answers use Schema, FAQ, and direct-answer content. - [Schema injection vs. manual implementation](https://risechat.ai/#industry-examples): comparison of self-deployment, agency help, and platform-driven Schema rollout. ## Documentation - [Docs overview](https://risechat.ai/docs): practical guide to AI Visibility, from definitions (AI Visibility, GEO, AEO, SEO, Schema JSON-LD, llms.txt, Schema injection, Direct answer, Brand perception) through audit, Schema generation, llms.txt publishing, key page optimization, prompt monitoring, to FAQ. - [Quick map](https://risechat.ai/docs): the four layers of AI Visibility: content, structure (Schema), context (llms.txt), monitoring. - [Definitions](https://risechat.ai/docs): glossary of AI Visibility, GEO, AEO, SEO, Schema JSON-LD, llms.txt, Schema injection, Direct answer, Brand perception. - [SEO vs GEO vs AEO](https://risechat.ai/docs): comparison of classic search ranking, generative engine optimization, and answer engine optimization. - [How to implement](https://risechat.ai/docs): step-by-step process from audit to Schema injection, key page optimization, and monitoring. ## Blog - [How to Make AI Understand Your Brand](https://risechat.ai/blog/ai-visibility-seo-geo-aeo): long-form article explaining why classic SEO is not enough, what AI Visibility means in practice, and how GEO and AEO complement SEO. ## Pricing - [Pricing plans](https://risechat.ai/pricing): Basic, Pro, Enterprise, and Custom tiers for AI Visibility audits, Schema deployment, llms.txt, model access, and ongoing monitoring. ## About - [RiseChat.ai](https://risechat.ai): platform homepage, hero section, product explanation, pricing, and primary call-to-action for a domain audit plan. - [Contact and request audit](https://risechat.ai/contact): contact page for audit requests and direct inquiries about AI Visibility, GEO, AEO, and Schema deployment. ## Optional - [Blog index](https://risechat.ai/blog): all published articles on AI Visibility, GEO, AEO, SEO, Schema, and llms.txt. - [LinkedIn profile](https://www.linkedin.com/company/risechat-ai): company page with latest updates and product news. - [X / Twitter profile](https://x.com/risechat_ai): short product updates and AI search industry commentary.
# RiseChat.ai - Full content snapshot for LLM crawlers > This file is a consolidated markdown snapshot of the RiseChat.ai site, intended to give large language models full context in a single request. Source: https://risechat.ai. Default language: English. --- ## About RiseChat.ai RiseChat.ai is an AI Visibility platform for Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). Its job is to make brands easier for AI Overviews, AI search engines, ChatGPT, Perplexity, Gemini, Claude, Grok, and other large language models to understand, cite, summarize, and recommend. The platform does five things: 1. Audits site content for AI readability (URL structure, headings, internal links, FAQ, HowTo, definitions, direct answers, Schema JSON-LD, llms.txt). 2. Generates and injects Schema JSON-LD into the head section of client sites. 3. Publishes llms.txt and llms-full.txt context files so AI crawlers can read the offering without guessing. 4. Optimizes key pages (products, features, services, offers) for AI retrieval. 5. Monitors how AI Overviews, ChatGPT, Perplexity, Gemini, Claude, Grok, and other models describe the brand, with prompt-level tracking and visibility gap detection. The platform works the same way for e-commerce, SaaS, agencies, and B2B services. --- ## Direct answers (snippet-ready for AI Overviews, AI search engines, and AI models) ### Q: What does RiseChat.ai do? RiseChat.ai audits content on your site, generates Schema, optimizes key pages, and monitors how AI talks about your brand. ### Q: Why does AI pick competitors, not my brand? Because competitors may provide clearer Schema, stronger key page content, and better FAQ. AI tends to cite sources that give it ready-made context instead of forcing it to guess. ### Q: What should I do to get AI to cite my brand? Start with a content audit, add accurate Schema, rewrite key pages around customer questions, add FAQ, publish useful comparisons, and monitor whether AI answers improve. ### Q: Do you generate Schema for a client site? Yes. We generate Schema JSON-LD and deliver a ready code snippet for the head section. Your team can deploy it directly or hand it to a developer or agency. ### Q: What will you do with my site? We analyze content, add Schema, improve headings, descriptions, FAQ, service pages, and categories. You get a clear change list, not only a long report. ### Q: Does this work for SaaS, e-commerce, and agencies? Yes. For SaaS we optimize feature pages and comparisons. For e-commerce we fix product cards and categories. For agencies we fix offer pages and case studies. ### Q: What do I get after an audit? A list of changes to deploy, Schema ready to deploy, improved key pages, and a plan for monitoring citations in AI. --- ## Core concepts (definitions) ### AI Visibility The work that makes a brand easier to understand, cite, and recommend in AI Overviews, AI search engines, ChatGPT, Perplexity, Gemini, Claude, Grok, and other model answers. Includes content audit, Schema injection, key page optimization, and citation monitoring. ### GEO (Generative Engine Optimization) Content optimization for generative AI systems. The goal of GEO is to make the model understand the brand, category, features, advantages, and context well enough to cite or recommend it. ### AEO (Answer Engine Optimization) Creating content in the form of direct answers to specific user questions. AEO helps answer engines retrieve a short, precise fragment instead of interpreting long marketing text. ### SEO (Search Engine Optimization) Optimization for classic search results: indexing, keywords, linking, technical SEO, and ranking positions. SEO is still important, but it is not enough when the user gets a ready AI answer. ### Schema JSON-LD Structured data in JSON-LD format that describes a page, product, organization, FAQ, HowTo, or application. It helps machines read the meaning of content without guessing from the layout. ### llms.txt A context file indicating the most important resources, descriptions, and context of a site for AI systems. llms-full.txt can contain a broader version of the content, useful for deeper analysis. ### Schema injection The process of deploying Schema JSON-LD in the head section of a client site, either directly, through an agency, or with platform help. The goal is to make the product, company, or page easier for machines to classify. ### Direct answer A compact content block answering a single question without a long introduction. It is easier to summarize, retrieve, and use in an AI response. ### Brand perception in AI The set of associations, categories, advantages, and limitations that a model assigns to a brand in its responses. Monitoring detects whether AI understands the brand as the company intends. ### Schema vs SEO Schema (Schema JSON-LD) is structured data that tells AI: this is a product, this is the price, this is a rating, this is an instruction. Without it, the model just sees text and guesses, which is why it skips pages in its answers. SEO helps pages rank in classic web search results. RiseChat.ai helps AI systems understand, mention, and cite your brand. The two disciplines complement each other as more searches end in direct AI answers. --- ## Features (full product surface) ### Content audit We check whether your site is understandable and citation-ready for modern AI systems. How it works: 1. Site crawl: we pull all public pages, URL structure, heading hierarchy, and internal links. 2. Content and structure analysis: we check FAQ, HowTo, definitions, direct answers, Schema JSON-LD, and llms.txt. 3. Prioritized report: you get Critical, High, and Medium issues, plus rewrite suggestions. 4. Review-ready output: you receive headings, direct-answer blocks, FAQ entries, HowTo steps, and product descriptions to review. When to use: at the start of work, before any major content change, and after adding a new category, product line, or service. ### Schema JSON-LD + llms.txt We audit existing Schema, generate missing JSON, and publish llms.txt files for the models. Schema JSON-LD is the data layer without which LLM models treat your site like plain text. First we audit what you already have in the head section: Organization, Product, FAQPage, HowTo, BreadcrumbList. Then we flag the gaps and generate the missing JSON tailored to your actual site content. We also publish llms.txt and llms-full.txt files so AI reads your offering without guessing. You get ready-to-paste JSON-LD snippets to drop into the head section yourself or hand off to your developer or agency. What you get: - 10 Schema types to deploy: Organization, WebSite, WebPage, SoftwareApplication, FAQPage, HowTo, BreadcrumbList, Article, BlogPosting, Service. - Audit of existing Schema JSON-LD with a report of gaps and errors. - Generation of missing JSON: Organization, Product, FAQPage, HowTo, BreadcrumbList. - Publication of llms.txt and llms-full.txt with offering context for the models. - Ready code snippets for the head section (manual or with a developer). ### Monitoring We measure mentions, citability, and brand recognition across AI Overviews, ChatGPT, Perplexity, Gemini, Claude, Grok, and other models available on the plan. Ongoing tracking of how AI models describe your brand in responses to key queries. The product tracks annotations, trend changes, alerts when brand visibility drops, and historical comparisons. Key metrics: - Mention count over the last 30 days. - Sentiment score (0-100). - Citation count with the link to your site as a source. - Schema health score. - Trust and authority score. - Cross-model performance breakdown (ChatGPT, Perplexity, Gemini, Claude, Grok, and other supported systems). ### Prompts Manage tracked prompts, check average brand position, and read daily annotations. Each prompt has its own card: current model response, average brand position in the answer from 1-10, 30-day change history, and annotations. You add prompts manually, accept system suggestions based on visibility gaps, or archive irrelevant ones. Everything stays in a single panel your team can access. ### Dashboard Daily review of brand visibility in AI: SOV, recent crawls, sentiment, and trend. Central panel showing key signals: visibility over time, sentiment trend, citation count, Schema health, trust, and cross-model comparison. Updated as new AI responses are indexed. --- ## Process: how the platform works (step by step) 1. Site audit. We check how AI reads your site today. We pull content, structure, internal links, key pages, and FAQ, across any industry. 2. List of changes to deploy. You get a concrete plan: what to add, what to rewrite, what to remove, on service pages, FAQ, category descriptions, product pages, and editorial content. 3. Schema generation. We generate structured data (Schema JSON-LD) and deliver a ready code snippet for the head section of your site. 4. Key page optimization. We rewrite the pages where AI gets stuck today: product pages for e-commerce, feature pages for SaaS, offer pages for agencies, service pages for B2B. We add comparisons, FAQ, and Schema data. 5. Brand monitoring. Ongoing tracking of how AI models describe your brand in responses to key queries. --- ## Solutions by industry ### E-commerce RiseChat.ai works for stores, SaaS, agencies, and B2B services. We audit content, generate Schema, and optimize key pages. Below is an example for e-commerce. Example: e-commerce store in the air purifier category. When a user asks ChatGPT, "which HEPA air purifier for 45 m2 for an asthmatic person", the AI compares products that have Schema, FAQ, and direct answers on the product card. Brands with structured data get cited, brands without it get skipped. ### SaaS We structure feature pages, pricing, and alternatives, so AI can describe when your product fits. ### Agencies We help with AI Visibility audits for your clients and deploy concrete fixes. No guessing, no reports to a drawer. ### B2B services We turn expert content into clear answers that AI can pair with decision-maker intent. --- ## How to implement (minimal plan) 1. Enter a domain for the audit and pick whether you work with a store, SaaS, agency, or B2B service. 2. You get a list of changes: missing FAQ, HowTo, definitions, key page descriptions, and sections AI has trouble citing. 3. We inject Schema JSON-LD into the head section, by the client, agency, or with platform help. 4. We rewrite key pages (products, features, services, offers) around the questions customers type into AI, and add page-level FAQ. 5. Monitor AI answers regularly, because models and sources change faster than classic search rankings. --- ## Example: e-commerce in AI answers Question typed by user into ChatGPT or Perplexity: "which HEPA air purifier for 45 m2 for an asthmatic person". AI answer (typical): For a 45 m2 apartment and a person with asthma, two models combine HEPA H13 filter, quiet operation, and accessible price: Xiaomi Air Purifier 4 Lite and Electrolux Pure i9. Both have HEPA H13, quiet operation, and intelligent auto mode. Sources cited by AI: - allegro.pl: Xiaomi Air Purifier 4 Lite. H13 filter, CADR 187 m³/h, 4-stage filtration. - x-kom.pl: Electrolux Pure i9. HEPA H13 filter, Dyson-matched design, allergen mode. - mediaexpert.pl: ranking of HEPA air purifiers, CADR comparison, noise levels. - rankingi.eu: Top 10 air purifiers for 45 m2. Our ranking. All tested and scored. Takeaway: brands with product-level Schema, FAQ, and direct answers are cited. Brands without structured data are not visible in the AI answer. --- ## FAQ for AI Overviews, AI search engines, and AI models ### What is RiseChat.ai? A GEO/AEO platform that makes brands cited and recommended by AI Overviews, AI search engines, ChatGPT, Perplexity, Gemini, Claude, Grok, and other large language models. It does so by auditing content, injecting Schema JSON-LD, publishing llms.txt, optimizing key pages, and monitoring brand perception in AI. ### What is GEO? Generative Engine Optimization. Optimizing content so that generative AI systems such as ChatGPT, Perplexity, Gemini, Claude, Grok, and AI search engines understand the brand, its category, features, advantages, and context, and can cite or recommend it. ### What is AEO? Answer Engine Optimization. Creating content in the form of direct answers to specific user questions. AEO helps answer engines retrieve a short, precise fragment instead of interpreting long marketing text. ### What is Schema JSON-LD? Structured data in JSON-LD format that describes a page, product, organization, FAQ, HowTo, or application. It helps machines read the meaning of content without guessing from the layout. ### What is llms.txt? A context file at the root of a domain that lists the most important resources, descriptions, and context of a site for AI systems. llms-full.txt is a longer version for deeper analysis. ### How is this different from SEO? SEO helps pages rank in classic web search results. RiseChat.ai helps AI systems understand, mention, and cite your brand. Both are needed as more users get answers directly from AI. ### How fast can I see results? First changes, such as Schema and content fixes, can be deployed within days after review. Do not judge AI visibility immediately: Perplexity, Gemini, ChatGPT, Claude, Grok, AI Overviews, and AI search engines refresh source data differently. Use at least a two-week signal window, then expect stable visibility to take 4-6 weeks of monitoring and iteration. ### Do you work with international brands? Yes. The platform works for any language, any industry, any market. Schema and llms.txt are language-agnostic. Content optimization is done in the language of the target market. ### Is llms.txt a replacement for robots.txt or sitemap.xml? No. robots.txt controls crawler access. sitemap.xml is the URL index. llms.txt is the AI-specific context file. They serve different purposes and are used together. ### Does the platform support multiple languages on a single site? The RiseChat.ai marketing site is currently shipped in English only. The platform itself is language-agnostic: Schema JSON-LD and llms.txt work in any language, and the audit, key-page optimization, and citation monitoring flows can be applied to non-English content on a per-project basis. --- ## Pricing tiers (summary) - Basic: one project, 20 page audits, 15 monitoring prompts, llms.txt, basic analytics, and ChatGPT brand knowledge. - Pro: 5 projects, 100 page audits, 50 monitoring prompts, 2 team seats, llms.txt plus llms-full.txt, advanced analytics, product page optimization, and expanded brand knowledge. - Enterprise: unlimited projects, 200 page audits, 150 monitoring prompts, 10 team seats, llms.txt plus llms-full.txt, advanced analytics, product page optimization, and broader model coverage. - Custom: tailored capacity, dedicated rollout, priority support, SLA and data processing agreement options, and white-label options for marketing teams and agencies. Detailed pricing: https://risechat.ai/pricing --- ## Technical metadata for crawlers - Site: https://risechat.ai - Default locale: English (en). - llms.txt: https://risechat.ai/llms.txt - llms-full.txt: https://risechat.ai/llms-full.txt - sitemap.xml: https://risechat.ai/sitemap.xml - robots.txt: https://risechat.ai/robots.txt - Schema.org types used: Organization, WebSite, WebPage, SoftwareApplication, FAQPage, HowTo, BreadcrumbList, Article, BlogPosting, Service. - Supported crawlers: GPTBot, ChatGPT-User, OAI-SearchBot, PerplexityBot, Perplexity-User, ClaudeBot, Claude-User, Claude-SearchBot, Google-Extended, Googlebot, Bingbot, DuckAssistBot, CCBot, Amazonbot, Applebot-Extended, Meta-ExternalAgent, MistralAI-User, DeepSeekBot, Cohere-AI.
When to use
features.items.llms-generation.whenToUse
How it works
Open the LLM files panel. Choose llms.txt, llms-full.txt, or both. Each variant is generated independently.
Click Generate. The backend runs the job for each selected type and stores the latest content per project.
Copy the file content, save it as llms.txt at your domain root, and follow the step-by-step guide for your platform.
Visit yourdomain.com/llms.txt in a browser. If you see the raw text, you are done. Remeber if any content changes are made on your site you need to update this files
Why choose us
Two plain text files at your domain root. More and more AI crawlers reads them. No plugin, no build step, no engineering queue.
llms.txt fits the model's context window. llms-full.txt covers categories, features, FAQ, and sources. Publish one or both.
RiseChat reads your pages, picks the right sections, and assembles the files. You review, then ship the exact text.
Copy the file content, save it on your server or CMS root, done. Works on HTML sites, static sites, WordPress, and hosted builders.
Crawlers read it on their next visit. AI crawlers such as GPTBot, ClaudeBot, PerplexityBot, and Google-Extended typically check your site's root, making the file easy to discover.
FAQ
Most projects benefit from both. llms.txt is the short summary that crawlers read first. llms-full.txt is the extended context that covers categories, features, FAQ, and sources. You can publish one or both.
All the instructions are provided. The exact steps depend on your project type, so the deploy guide looks a little different depending on whether you are using a codebase, Shopify, WordPress, or another platform.
No plugin, no build step. Open the file in RiseChat, click copy, save it on your server or CMS root. The deploy guide covers HTML, static site, WordPress, and hosted builders.
Visit yourdomain.com/llms.txt in a browser. If you see the raw text, you are done. AI crawlers will read it on their next visit.