# AEO Mantis

> AEO Mantis is an AI visibility platform. It supports answer engine
> optimization (AEO) by tracking when and how
> AI platforms (ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI
> Mode, and Bing Copilot) cite or mention a brand, measures
> share of voice against competitors, and generates source-backed content.

Public pages also support Markdown via the Accept: text/markdown request header.
English uses unprefixed URLs; Traditional Chinese uses /zh-Hant and Japanese uses /ja.

- [Sitemap](https://www.aeomantis.com/sitemap.xml): Published canonical URLs and language alternates.
- [Home](https://www.aeomantis.com)
- [Pricing](https://www.aeomantis.com/pricing)
- [About](https://www.aeomantis.com/about)
- [FAQ](https://www.aeomantis.com/faq)
- [Free AI Visibility Checker](https://www.aeomantis.com/tools/ai-visibility-checker): Check crawler access, extractability, and entity signals for AI citation readiness.

## Features

- [AI Citation Monitoring](https://www.aeomantis.com/features/citation-monitoring): Scheduled monitoring of the prompts your buyers actually ask AI platforms — citation rate, sources, sentiment, and drift over time, per platform.
- [AI Competitor Analysis](https://www.aeomantis.com/features/competitor-analysis): See which competitors AI platforms cite instead of you, with share of voice, sentiment, and the exact answers and sources behind every mention.
- [Source-Backed Content Generation](https://www.aeomantis.com/features/content-generation): Generate articles grounded in real research and citations — built to close the specific visibility gaps your AI monitoring uncovers.
- [AI Readability Site Audit](https://www.aeomantis.com/features/site-audit): Audit whether AI crawlers can read your site: rendering, structure, metadata, and the fixes that make your pages citable by AI engines.

## AI Visibility Glossary

- [What is Generative Engine Optimization (GEO)?](https://www.aeomantis.com/glossary/generative-engine-optimization): GEO is the practice of making a brand more likely to be cited and recommended by AI engines like ChatGPT and Perplexity. Definition and how to measure it.
- [What is AI Visibility?](https://www.aeomantis.com/glossary/ai-visibility): AI visibility is how often and how favorably AI platforms mention or cite a brand in their answers. Definition, metrics, and how to track it.
- [What is Share of Voice in AI Search?](https://www.aeomantis.com/glossary/share-of-voice): Share of voice in AI search is the percentage of AI answers in a prompt set that feature your brand versus competitors. Definition and formula.
- [What is Citation Rate?](https://www.aeomantis.com/glossary/citation-rate): Citation rate is the share of monitored AI answers that link your domain as a source. Definition, formula, and how it differs from brand mentions.
- [What are Google AI Overviews?](https://www.aeomantis.com/glossary/ai-overviews): AI Overviews are Google’s AI-generated answers at the top of search results. What they are, how they cite sources, and why they change SEO.
- [What is Prompt Monitoring?](https://www.aeomantis.com/glossary/prompt-monitoring): Prompt monitoring is repeatedly asking AI platforms the questions your buyers ask, and tracking how answers, citations, and sentiment change.
- [What is Answer Engine Optimization (AEO)?](https://www.aeomantis.com/glossary/answer-engine-optimization): AEO is optimizing content to be selected and quoted by answer engines like Perplexity and Google AI Overviews. Definition and how it differs from GEO and SEO.
- [What is a Brand Mention in AI Search?](https://www.aeomantis.com/glossary/brand-mention): A brand mention is when an AI answer names your brand, with or without a link. Definition, how it differs from a citation, and why both matter.
- [What are AI Crawlers?](https://www.aeomantis.com/glossary/ai-crawlers): AI crawlers fetch web pages for answer engines and model training. What they are, how they differ from Googlebot, and how to decide whether to allow them.
- [What is llms.txt?](https://www.aeomantis.com/glossary/llms-txt): llms.txt is a proposed plain-text index of a site for LLM crawlers, the markdown counterpart to robots.txt. What it is, what it does, and its limits.
- [What is Entity Consistency?](https://www.aeomantis.com/glossary/entity-consistency): Entity consistency keeps brand facts aligned across your site and the wider web so AI engines resolve one stable identity. Definition and why it matters.
- [What are AI Brand Hallucinations?](https://www.aeomantis.com/glossary/ai-brand-hallucinations): AI brand hallucinations are false or conflated facts an answer engine states about a brand. What they are, why they happen, and how monitoring catches them.

## Blog

- [How to Find Buyer Prompts Your Customers Ask AI](https://www.aeomantis.com/blog/choosing-prompts-to-monitor): Find buyer prompts your customers ask AI by turning sales, support, search, and community evidence into a scored, deduplicated monitoring panel.
- [Gemini SEO: Verify Sources and Measure Visibility](https://www.aeomantis.com/blog/gemini-seo): Use a Gemini SEO source-review worksheet to separate visible links, verified claim support, collection failures, and outcomes across Google AI surfaces.
- [Best AI Visibility Tools in 2026: How to Choose](https://www.aeomantis.com/blog/best-ai-visibility-tools-2026): Compare the best AI visibility tools: AEO Mantis, Profound, Ahrefs, Semrush, Peec AI, OtterlyAI, and Meteoria by evidence and workflow.
- [AI Visibility Audit: A Practical 7-Step Checklist](https://www.aeomantis.com/blog/ai-visibility-audit): Run an AI visibility audit with a seven-step checklist, evidence worksheet, and testable handoff for readiness, answers, citation gaps, and remeasurement.
- [How to Measure AI Search ROI: A Practical Framework](https://www.aeomantis.com/blog/ai-search-roi): Measure AI search ROI with a practical worksheet linking prompt visibility, attributable visits, qualified pipeline, gross profit, and full program cost.
- [How to Track and Analyze AI Brand Mentions](https://www.aeomantis.com/blog/ai-brand-monitoring): Track and analyze AI brand mentions with stable buyer prompts, complete answer evidence, separate metrics, and a practical review workflow.
- [Query Fan Out SEO: A Practical Workflow](https://www.aeomantis.com/blog/query-fan-out-seo): Use a query fan out SEO workflow to map buyer decisions, assign evidence owners, avoid duplicate pages, and measure AI visibility without ranking promises.
- [AI Search Optimization for Local Business: A Practical Guide](https://www.aeomantis.com/blog/ai-search-optimization-local-business): Use an evidence-first AI search optimization for local business workflow to align facts, test local prompts, and measure answers without ranking promises.
- [AI Search Content Strategy: From Evidence to Page Decisions](https://www.aeomantis.com/blog/ai-search-content-strategy): Build an AI search content strategy that turns buyer prompts and citation evidence into create, update, distribute, or skip decisions.
- [Microsoft Copilot SEO: A Verification-First Citation Guide](https://www.aeomantis.com/blog/microsoft-copilot-seo): Use a seven-step Microsoft Copilot SEO workflow to verify Bing eligibility, build citable evidence, test buyer prompts, and measure citations separately.
- [Generative Engine Optimization Agency: A Buyer's Guide](https://www.aeomantis.com/blog/generative-engine-optimization-agency): Choose a generative engine optimization agency with a reproducible prompt baseline, concrete deliverables, client-owned evidence, and a gated pilot.
- [AI SEO for SaaS: Build a Buyer-Prompt Evidence System](https://www.aeomantis.com/blog/ai-seo-for-saas): Map SaaS buyer prompts to verifiable use-case, integration, pricing, security, comparison, and implementation evidence, then measure real answers.
- [AI Search for Ecommerce: A Product Visibility Workflow](https://www.aeomantis.com/blog/ai-search-for-ecommerce): Use AI search for ecommerce to align product pages, schema, merchant feeds, proof, and repeatable SKU-level answer monitoring.
- [AI Search Competitor Analysis: A Repeatable Benchmark](https://www.aeomantis.com/blog/ai-search-competitor-analysis): Run AI search competitor analysis with fixed buyer prompts, explicit denominators, source verification, and a repeatable action-focused benchmark.
- [Perplexity SEO: A Verification-First Citation Guide](https://www.aeomantis.com/blog/perplexity-seo): Use a verification-first Perplexity SEO workflow to audit access, create defensible source pages, test buyer prompts, and measure citations.
- [AI Citation Analysis: Turn Cited Sources Into a Content Plan](https://www.aeomantis.com/blog/ai-citation-analysis): Use AI citation analysis to inspect cited pages, verify claim support, find content gaps, and prioritize updates with a practical evidence worksheet.
- [AI Referral Traffic: How to Track AI Visits in GA4](https://www.aeomantis.com/blog/ai-referral-traffic): Track AI referral traffic in GA4 with the AI Assistant channel, source checks, landing pages, and key events, while keeping attribution limits clear.
- [What Is AEO? Answer Engine Optimization Explained](https://www.aeomantis.com/blog/what-is-aeo): Learn what answer engine optimization (AEO) is, how it differs from SEO and GEO, and how to earn citations and measure visibility in AI-generated answers.
- [Which Sites Block AI Crawlers? A 28-Domain Access Benchmark](https://www.aeomantis.com/blog/ai-crawler-access-benchmark): Fresh robots.txt evidence for five citation-retrieval crawlers across 28 domains, with per-crawler block rates and optional llms.txt adoption.
- [How to Get Cited by ChatGPT: A Practical 7-Step Workflow](https://www.aeomantis.com/blog/how-to-get-cited-by-chatgpt): Learn how to get cited by ChatGPT with a practical seven-step workflow covering OAI-SearchBot access, search intent, citable evidence, and measurement.
- [What Is LLMO? A Practical Guide to AI Search Citations](https://www.aeomantis.com/blog/llm-seo): What LLMO means, how it differs from SEO, GEO, and AEO, six practical actions, the metrics to track, and a four-week operating plan.
- [AI Visibility Metrics Across ChatGPT, Gemini, and Perplexity](https://www.aeomantis.com/blog/ai-visibility-metrics): Learn how to calculate and interpret mention rate, citation rate, share of voice, sentiment, and platform-specific AI visibility trends.
- [How to Write Content That AI Engines Actually Cite](https://www.aeomantis.com/blog/writing-content-ai-engines-cite): Seven concrete rules for writing passages AI engines can extract, attribute, and cite, from answer-first structure to fact density.
- [How to Improve Brand Visibility in AI Search Engines](https://www.aeomantis.com/blog/improve-brand-visibility-ai-search): How to improve brand visibility in AI search: choose buyer prompts, make pages citable, strengthen entity signals, and measure mentions and citations.
- [How AI Engines Resolve Brands and Choose Citations](https://www.aeomantis.com/blog/entity-consistency-ai-citations): How identity consistency, third-party corroboration, structured data, and one canonical home help AI engines resolve and cite your brand.
- [GEO vs SEO: What Changes and Where to Spend](https://www.aeomantis.com/blog/geo-vs-seo): What GEO adds to SEO, which foundations still carry over, what changes for AI citations, and how to budget effort without doubling the work.

## Use Cases

- [AEO Mantis for SEO Agencies](https://www.aeomantis.com/use-cases/seo-agencies): How SEO agencies use AEO Mantis in pitches, monthly retainers, and delivery sprints — from prompt design and competitor gaps to evidence-backed client reports.
- [AEO Mantis for Marketing Teams](https://www.aeomantis.com/use-cases/marketing-teams): How marketing teams use AEO Mantis for product launches, category positioning, cross-functional execution, and evidence-backed AI visibility reporting.
- [AEO Mantis for Startups](https://www.aeomantis.com/use-cases/startups): How startups use 5 free ChatGPT prompts to validate positioning, prioritize low-cost fixes, and expand AI visibility monitoring only when it earns budget.
- [AEO Mantis for Multi-Market Brands](https://www.aeomantis.com/use-cases/multi-market-brands): How multi-market brands localize buyer prompts, separate regional competitors and sources, assign market work, and avoid misleading global averages.