Knowledge base
Learn GEO & AEO
Everything on getting your brand cited inside AI answers — how engines choose sources, how to structure pages, and exactly what to change when AI recommends competitors.
20+GEO/AEO guides and use cases
4AI-search engines covered
Find → Fix → Proveclosed-loop workflow
What RankEcho does
How RankEcho works
RankEcho audits whether AI engines cite your brand, generates the exact fix for each gap, and re-tests the prompt to prove the citation appeared. Here's exactly what you get.
Why RankEcho is different
Most AI-visibility tools stop at monitoring. RankEcho closes the loop — generating the fix for each gap and proving the citation appeared. Here's why that matters.
AI Visibility Audit
Run an AI visibility audit across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. See where your brand is cited, ignored, or replaced by competitors.
Prompt Intelligence
Prompt Intelligence maps the buyer-intent questions that shape AI recommendations: category, comparison, alternative, use-case, and problem-solution prompts.
AI Citation Monitoring
Monitor AI citations and brand mentions across AI engines. Track citation rate, source domains, competitor mentions, and share of voice over time.
Competitor Radar
Competitor Radar shows which brands AI recommends instead of you, which prompts they win, and which sources make them visible.
Source Intelligence
Source Intelligence shows which owned and third-party pages AI engines cite, including reviews, roundups, Reddit, directories, and category pages.
Fix Engine
RankEcho's Fix Engine turns each AI visibility gap into a concrete package: answer block, schema, content brief, crawler check, llms.txt guidance, and off-site source plan.
Proof Loop
RankEcho's Proof Loop re-tests the same AI prompts after fixes ship, showing before/after citation movement with confidence notes and retrieval timing.
Guides
Generative Engine Optimization (GEO): the complete guide
GEO is the practice of getting your brand cited inside AI answers from ChatGPT, Perplexity, Google AI Overviews, and Claude. Here's how it works and how to measure it.
Answer Engine Optimization (AEO): how to get cited by AI
AEO is structuring content so answer engines can extract and cite it. Learn the front-loaded answer, question-heading, and schema patterns that win AI citations.
How to show up in ChatGPT, Perplexity, and Google AI
A practical, four-step process to get your brand cited in ChatGPT, Perplexity, and Google AI Overviews — and how to prove it worked.
AI search visibility: measure, fix, and prove it
AI search visibility is how often AI engines cite your brand. Learn the two metrics that matter and how to move them with a monitor-fix-prove loop.
How to show up in Perplexity
Perplexity is retrieval-first and shows its sources. Here's how to become one of them: be crawlable, answer directly, and earn the third-party citations it trusts.
How to rank in Google AI Overviews
Google AI Overviews draw on Google's index and favor well-structured, schema-rich pages that already rank. Here's how to earn a place in the generated answer.
How to get cited by Claude
Claude cites sources it retrieves via web search. Here's how to be one of them: clear authoritative answers, clean structure, and an unblocked crawler.
Comparisons
A different kind of AI-visibility tool: monitor vs. fix-and-prove
Most AI-visibility tools monitor. RankEcho closes the loop — generating the fix for each gap and re-testing to prove the citation appeared. Here's the difference.
Best AI visibility tools in 2026: a buyer's guide
How to choose an AI search visibility tool: the categories that exist, what separates monitoring from optimization, and the questions to ask before you buy.
AI visibility monitoring vs optimization
AI visibility monitoring shows where you stand. AI visibility optimization tells you what to fix and proves whether the change worked.
RankEcho vs Profound
Compare RankEcho and Profound for AI search visibility. RankEcho is built for teams that need monitoring, fixes, and proof loops — not only dashboards.
Best AI visibility tools for 2026
A practical guide to the best AI visibility tools: what to compare, which workflows matter, and why monitoring alone is not enough.
AI citation tracker
An AI citation tracker monitors whether AI engines cite your brand or competitors. Learn what to track and how RankEcho adds fixes and proof.
ChatGPT visibility tracker
Track whether ChatGPT mentions, cites, or recommends your brand for buyer-intent prompts, and see which fixes can move visibility.
Perplexity citation tracker
Track whether Perplexity cites your website, names competitors, or uses third-party sources for your buyer-intent prompts.
ChatGPT visibility tracking
Track whether ChatGPT mentions, cites, or recommends your brand for buyer-intent prompts. RankEcho helps find gaps, ship fixes, and prove movement.
Perplexity visibility tracking
Track whether Perplexity cites your website, mentions your brand, or recommends competitors. RankEcho maps source gaps and re-tests fixes.
Claude visibility tracking
Track whether Claude mentions or recommends your brand for buyer-intent prompts, then identify content and source fixes with RankEcho.
Gemini visibility tracking
Track whether Gemini mentions, cites, or recommends your brand for category, comparison, and use-case prompts with RankEcho.
Google AI Overviews visibility tracking
Track whether Google AI Overviews cite your pages, mention your brand, or recommend competitors for high-intent prompts.
Copilot visibility tracking
Track whether Microsoft Copilot mentions, cites, or recommends your brand, then use RankEcho to identify visibility gaps and fixes.
Why does ChatGPT not mention my brand?
Find out why ChatGPT may not mention your brand, why competitors appear instead, and which fixes can improve AI answer visibility.
How to get cited in AI answers
Learn how to improve the chance your site is cited in AI answers by fixing crawlability, answer structure, schema, and source coverage.
How to audit AI visibility
A practical AI visibility audit workflow: test prompts, compare engines, map competitors, inspect citations, and prioritize fixes.
Why does AI recommend my competitors?
Learn why AI answer engines recommend competitors instead of your brand and how to diagnose prompt, source, content, and entity gaps.
How to improve AI search visibility
Improve AI search visibility by auditing prompts, fixing content/source gaps, and proving movement with before-after re-tests.
How to track AI search share of voice
Track AI search share of voice by measuring brand mentions, competitor mentions, citations, and prompt-level visibility across engines.
By use case
AI search visibility for B2B SaaS
B2B buyers ask AI 'best tool for X' and 'X alternatives.' If AI never names your SaaS, you're off the shortlist before a demo. Here's how to fix that.
AI search visibility for agencies
Clients now ask why they're invisible in ChatGPT. Agencies need to measure AI visibility, fix it, and prove the impact — across many client domains.
AI search visibility for ecommerce and DTC
Shoppers now ask AI for product recommendations. If AI doesn't name your DTC brand for 'best [product],' you lose the sale before the click.
AI search visibility for startups
Startups can own a new category's AI answer early — before incumbents notice. Here's how to be the brand AI names when buyers ask about your space.
AI search visibility for B2B SaaS
RankEcho helps B2B SaaS teams see whether AI recommends them for category, comparison, alternative, and use-case prompts — then fix and prove the gaps.
AI visibility for agencies
RankEcho helps agencies audit AI visibility, generate GEO fixes, and deliver proof reports across client domains.
AI search visibility for ecommerce and DTC
RankEcho helps ecommerce and DTC brands track whether AI recommends their products for category, product, review, and comparison prompts.
AI search visibility for startups
RankEcho helps startups define new categories, appear in AI answers early, and prove which GEO fixes move citation visibility.
AI visibility for SEO and content teams
RankEcho helps SEO and content teams extend SEO into AI answers with prompt tracking, citation monitoring, schema fixes, and proof loops.
Enterprise AI search visibility governance
RankEcho helps enterprise teams monitor AI answer visibility, competitor recommendations, source coverage, methodology, security, and proof across brands or business units.
Deep dives
What is llms.txt, and how do you write one?
llms.txt is an emerging markdown standard that points AI systems at your most important content. Here's what it is, where it goes, and an example.
FAQPage schema for AI citations
FAQPage JSON-LD makes your answers machine-extractable, raising the odds AI engines cite you. Here's a copy-paste example and why it works.
Why AI can't see your Cloudflare site — and how to fix it
Cloudflare and robots.txt settings silently block AI crawlers like GPTBot and PerplexityBot. Here's how to check and fix it so AI can cite you.
What's in a GEO fix?
A GEO fix isn't 'write better content.' It's a specific set of artifacts — an answer block, JSON-LD, llms.txt, a content brief, and an off-site plan. Here's each one.
Why isn't my website showing up in ChatGPT?
Three reasons AI ignores your site: crawlers are blocked, your answer isn't extractable, or competitors own the third-party sources AI trusts. Here's how to diagnose it.
How to track AI citations and share of voice
You can't improve AI visibility you don't measure. Here's how to track citation rate and share of voice across ChatGPT, Perplexity, Claude, and Google AI.