# LLM Citely

> Monitor brand mentions in AI search, inspect saved answers and citation sources, and connect findings to accountable client work in LLM Citely.

Canonical website: https://llmcitely.com/. These links describe public product information and editorial resources. Markdown editions use the same content as their HTML pages; original images, captions and references are retained.

Platform coverage and methodology explain which observation surfaces are supported. Product previews and worked examples are illustrative, not customer measurements. Public-documentation comparisons do not claim hands-on testing. An index entry does not imply a ranking, recommendation or performance guarantee.

This directory excludes account pages, private workspaces and unfinished or experimental acquisition pages. robots.txt controls automated crawl preferences; this file does not grant additional access.

## Product and measurement

- [AI Visibility Tracking for Agencies](https://llmcitely.com/index.md): Monitor brand mentions in AI search, inspect saved answers and citation sources, and connect findings to accountable client work in LLM Citely.
- [AI Search Optimization Platform](https://llmcitely.com/product.md): Connect buyer questions, sampled AI answers, citation evidence, optimization tasks and client reports in one reviewable workflow.
- [ChatGPT Monitoring and AI Platform Readiness](https://llmcitely.com/platforms.md): Review six AI platforms: ChatGPT, Gemini, Google AI Mode, AI Overviews, Perplexity and Claude. See website and model API sources and local test status.
- [AI Visibility Measurement Methodology](https://llmcitely.com/methodology.md): Understand LLM Citely's AI answer sampling, valid-answer denominators, citation evidence, missing coverage and rules for comparing observations.
- [GEO Software for Agencies and Consultants](https://llmcitely.com/for-agencies.md): Organize client brands, review AI visibility evidence, assign optimization work and prepare client reports with sources and sample coverage.
- [AI Search Workflow Demo](https://llmcitely.com/demo.md): Explore an illustrative LLM Citely client workflow from buyer questions to saved answers, citations, optimization tasks and client reporting.
- [AI visibility tracking, with the answer attached.](https://llmcitely.com/features/ai-visibility-tracking.md): Track an approved question baseline, inspect saved answers and cited sources, and keep valid-answer coverage visible. Check platform readiness before live collection.
- [AI prompt tracking for buyer questions.](https://llmcitely.com/features/prompt-tracking.md): Organize and track AI search buyer questions with approved wording, intent, brand context and repeatable sampling in LLM Citely.
- [AI citation tracking, down to the source URL.](https://llmcitely.com/features/citation-tracking.md): Inspect explicit AI answer citations with the original question, source URL, ownership and observation context. Keep incomplete evidence visible.
- [AI visibility reporting your clients can inspect.](https://llmcitely.com/features/client-reporting.md): Prepare AI visibility client reports with valid sample counts, mentions, citations, evidence links and accountable next actions.
- [Compare brands in the same AI answers](https://llmcitely.com/features/competitor-benchmarking.md): Compare brand mentions and cited sources within a defined question set. Keep the original answers, eligible sample and missing coverage visible.
- [A GEO site audit with inspectable findings](https://llmcitely.com/features/geo-site-audit.md): Review page access, indexing declarations, structure and source evidence. Keep the requested URL, capture method and unavailable checks with the finding.
- [Carry source evidence into the content draft](https://llmcitely.com/features/content-workbench.md): Turn a saved question or action into an editable brief. Preserve references, review a version and export the content your team has checked.

## Practical guides

- [What Is Generative Engine Optimization? A Practical Guide](https://llmcitely.com/guides/what-is-generative-engine-optimization.md): Understand generative engine optimization, separate mentions from citations, and build a practical GEO workflow with evidence you can inspect.
- [What Is Answer Engine Optimization? An Actionable AEO Guide](https://llmcitely.com/guides/what-is-answer-engine-optimization.md): Learn what AEO means, how to write a clear supported answer, and how to evaluate answer presence without confusing snippets, citations and visits.
- [GEO vs SEO: Workflows, Measurements and Where They Overlap](https://llmcitely.com/guides/geo-vs-seo.md): Compare GEO and SEO by user task, page work, evidence and measurement. Use one website plan while keeping search rankings and AI samples distinct.
- [GEO vs AEO: Choose the Work by the User's Question](https://llmcitely.com/guides/geo-vs-aeo.md): Understand where GEO and AEO overlap, how their scopes differ in practice, and how to turn the terms into a clear measurement and content plan.
- [AEO vs SEO: Answer Design and Search Foundations](https://llmcitely.com/guides/aeo-vs-seo.md): Compare AEO and SEO through real page tasks: discoverability, direct answers, supporting evidence, snippets and useful measurements.
- [How to Measure AI Visibility with a Repeatable Baseline](https://llmcitely.com/guides/how-to-measure-ai-visibility.md): Build an AI visibility baseline with clear sample coverage, mention rates and citation evidence. Includes formulas and an illustrative worksheet.
- [AI Share of Voice: Formula, Example and Interpretation](https://llmcitely.com/guides/ai-share-of-voice.md): Calculate sampled AI share of voice from a defined brand set. See a worked example, why it differs from mention rate, and how denominators change.
- [How to Track Brand Mentions in ChatGPT, Step by Step](https://llmcitely.com/guides/how-to-track-brand-in-chatgpt.md): Create a reviewable ChatGPT brand-monitoring baseline: choose buyer questions, capture actual answers, check aliases and explain missing results.
- [GEO Prompt Research: Choose Buyer Questions You Can Track](https://llmcitely.com/guides/choose-buyer-prompts.md): Build a GEO prompt set from real buying tasks. Separate observed customer questions from generated suggestions and keep a versioned tracking baseline.
- [AI Citation Gap Analysis: A Practical Evidence Worksheet](https://llmcitely.com/guides/find-ai-citation-gaps.md): Find citation gaps from actual AI answers and source pages. Build a question-to-source worksheet and turn verified differences into reviewable actions.
- [AI Citations vs Brand Mentions: What Each Metric Measures](https://llmcitely.com/guides/citations-vs-brand-mentions.md): Separate brand mentions, explicit citations and retrieved sources in AI answers. Use clear classifications and denominators before comparing results.
- [How to Run a GEO Audit: Access, Content and Answer Evidence](https://llmcitely.com/guides/run-a-geo-audit.md): Run a scoped GEO audit with separate checks for access, content and sampled AI answers. Includes a worksheet, priority rules and review conditions.
- [Robots.txt for AI Bots: Search, Training and Access Checks](https://llmcitely.com/guides/robots-txt-for-ai-crawlers.md): Understand robots.txt for AI bots, separate search from training controls, and test the exact URL and crawler rule without assuming access or inclusion.
- [How to Optimize for AI Search: An Evidence-Based Workflow](https://llmcitely.com/guides/ai-search-optimization.md): Improve AI-search source material through task-focused pages, clear facts and access checks. Build an action plan and compare a controlled follow-up.
- [Your first LLM Citely project](https://llmcitely.com/docs/quickstart.md): Set up a brand, approve a small question baseline and learn how to read the resulting evidence. Confirm collection readiness before starting a run.
- [Shared points, quotes and failed runs](https://llmcitely.com/docs/points-and-usage.md): Understand the confirmed monthly point allowances, the ordinary collection rate and the distinction between a reservation, final charge and supplier expense.
- [Understand collection status before retrying](https://llmcitely.com/docs/collection-status-and-retries.md): Read queued, submitting, collecting and terminal states. Keep failed coverage, saved evidence and point settlement separate when deciding what to do next.
- [How to track AI traffic in GA4](https://llmcitely.com/guides/track-ai-traffic-in-ga4.md): Start with GA4’s AI Assistant channel, inspect session sources and landing pages, then use explicit source rules only when you need a separate supplemental view.
- [From a citation gap to an approved content brief](https://llmcitely.com/guides/citation-gap-to-content-brief.md): Follow one explicit source gap into a page decision, a sourced brief and a checkable editorial handoff. Preserve the observation without claiming why the model produced it.

## Public tools and templates

- [Free GEO audit tool: check a public page](https://llmcitely.com/tools/ai-readiness-checker.md): Check one public URL for static HTML, page response, headings, canonical and indexing declarations. Download findings or review pasted HTML as a fallback.
- [AI crawler checker for robots.txt rules](https://llmcitely.com/tools/ai-crawler-checker.md): Paste robots.txt rules and a page URL to inspect the matching group and rule. This local checker does not fetch the file or test live crawler access.
- [GEO audit checklist, ready for client work.](https://llmcitely.com/templates/geo-audit-checklist.md): Copy and fill a GEO audit checklist covering page access, content evidence, citations, owners and follow-up measurement. Export a CSV without an account.
- [AI visibility report template, with clear denominators.](https://llmcitely.com/templates/geo-report.md): Use an editable AI visibility report template with sample coverage, mention and owned citation rates, evidence fields and client action planning.
- [Check your llms.txt file, line by line](https://llmcitely.com/tools/llms-txt-validator.md): Paste an llms.txt file to review headings, file links and URL syntax. See concrete fixes and download the supplied file and review record locally.
- [Turn a GEO finding into a checkable action](https://llmcitely.com/templates/geo-action-plan.md): Create an editable action plan with evidence, owner, priority, acceptance condition and recheck date. Export a client-ready CSV without sending the data anywhere.
- [Build an AI search content brief with evidence](https://llmcitely.com/templates/ai-search-content-brief.md): Prepare a brief that gives the writer a buyer question, intended page, verified facts, source references and acceptance criteria. Download the editable Markdown handoff.

## Comparisons and alternatives

- [Best AI visibility tools: compare the evidence](https://llmcitely.com/compare/best-ai-visibility-tools.md): Compare AI visibility tools by observation model, raw evidence, platform scope, quotas and exports. Use the same task to evaluate the documented workflow.
- [Best GEO tools: inspect the audit-to-action workflow](https://llmcitely.com/compare/best-geo-tools.md): Compare GEO software by the work it delivers: a scoped page check, editable change, approval record and comparable recheck.
- [Best AEO tools: compare research and answer workflows](https://llmcitely.com/compare/best-aeo-tools.md): Evaluate AEO tools for question research, source-backed briefs, editing and review. Keep generated suggestions separate from measured demand.
- [AI visibility tools for agencies: compare client delivery](https://llmcitely.com/compare/best-ai-visibility-tools-for-agencies.md): Compare multi-client isolation, permissions, workload allowances and the report each client actually receives.
- [Peec AI Alternatives: Keep, Add or Replace?](https://llmcitely.com/alternatives/peec-ai.md): Evaluate Peec AI alternatives by the reason for switching: broader research, SEO workflows, content execution or client delivery. Public documentation reviewed.
- [Profound Alternatives: Which Jobs Must Survive?](https://llmcitely.com/alternatives/profound.md): Compare Profound alternatives for focused monitoring, SEO research and client delivery. Understand which documented capabilities a replacement must preserve.

## Optional

- [About Our AI Visibility Workflow](https://llmcitely.com/about.md): Learn why LLM Citely connects AI search questions, answer evidence, source analysis and accountable client delivery for agencies and consultants.
- [Contact LLM Citely: Product, Billing and Data Enquiries](https://llmcitely.com/contact.md): Email support@llmcitely.com for product, billing, privacy or security questions. Prepare a topic-specific draft, then review and send it from your email app.
- [Security and Data Handling](https://llmcitely.com/security.md): Review LLM Citely account and project boundaries, provider collection scope, browser-local public tools and the status of production data terms.
- [Product Updates and Changelog](https://llmcitely.com/changelog.md): See the current LLM Citely preview updates, including guides, scoped public tools, editable templates and unchanged collection boundaries.
- [Useful tools. Clear boundaries.](https://llmcitely.com/tools.md): Use free, scoped tools for technical GEO HTML audits, AI crawler robots rules, buyer question drafts and saved ChatGPT answer review.
- [Client deliverables you can make your own.](https://llmcitely.com/templates.md): Edit and export client-ready GEO audit checklists and AI visibility report templates with explicit evidence and sample coverage.
- [Practical answers for AI search work.](https://llmcitely.com/guides.md): Browse practical GEO and AEO guides for buyer question research, AI visibility measurement, source gaps, page audits and optimization.
- [Choose a workflow you can explain.](https://llmcitely.com/compare.md): Compare AI visibility, GEO and AEO tools using public documentation, observation scope, evidence and agency delivery requirements.
- [A different tool starts with a clear reason.](https://llmcitely.com/alternatives.md): Evaluate Peec AI and Profound alternatives by workflow constraints, source evidence, client reporting and migration requirements.
- [Find the next step in your project](https://llmcitely.com/docs.md): Practical help for starting a project, understanding collection states and reviewing shared point usage. Read the relevant workflow before starting new work.
- [Combined public text](https://llmcitely.com/llms-full.txt): All text editions in one response. Use individual pages for a smaller context.