# RankEcho

> RankEcho is an AI search visibility optimization platform. It audits whether AI engines (ChatGPT, Claude, Perplexity, Google AI Overviews) cite your brand, generates a bounded fix for each measured gap, and re-tests to record whether the citation appeared. Find -> Fix -> Prove.
> This optional file is a factual directory for retrieval systems. It does not control crawling, indexing, ranking, or citation selection.

## Core platform
- [AI search visibility optimization](https://rankecho.io/ai-search-visibility-optimization): RankEcho's definition and Find -> Fix -> Prove workflow for improving AI citations, mentions, recommendations, and proof.
- [Sitewide AI visibility audit](https://rankecho.io/sitewide-ai-visibility-audit): brand-level visibility intelligence for prompts, competitors, sources, engine coverage, and page opportunities.
- [Page-level AI visibility audit](https://rankecho.io/page-level-ai-visibility-audit): URL-specific optimization workflow for answer blocks, schema, content briefs, crawler checks, source targets, and proof.
- [Product overview](https://rankecho.io/product): AI search visibility optimization, AI visibility audit, prompt intelligence, citation monitoring, source intelligence, Fix Engine, Proof Loop, Analysis Studio, and Page Intelligence.
- [SEO/GEO/AEO Intel](https://rankecho.io/search-intelligence): connect Google Search Console to see performance, pages and queries, and period comparisons; rank quick wins, low click-through, losing clicks, competing pages and content gaps; and compare 28 days before and after a change, descriptively.
- [Methodology](https://rankecho.io/methodology): how RankEcho selects prompts, parses citations, identifies competitors, and measures proof.
- [Security and privacy](https://rankecho.io/security): what audit data RankEcho collects and what it does not need.
- [About](https://rankecho.io/about): company and ownership information for RankEcho.
- [Privacy Policy](https://rankecho.io/privacy): how RankEcho handles audit, account, and billing data.
- [Changelog](https://rankecho.io/changelog): what shipped in RankEcho recently.
- [State of AI Citations](https://rankecho.io/state-of-ai-citations): methodology, display rules, and current availability for a descriptive cross-audit citation and fixed-prompt outcome aggregate.
- [Terms of Use](https://rankecho.io/terms): terms governing use of RankEcho.
- [Disclosure & Disclaimer](https://rankecho.io/disclosure): AI visibility limitations and commercial disclosures.
- [Contact](https://rankecho.io/contact): contact details for RankEcho and Nexus Decision Systems LLC.

## What RankEcho does
- [How RankEcho works](https://rankecho.io/how-it-works): See how RankEcho records a fixed prompt panel, prepares reviewable proposals, and compares matched post-ship observations with stated limits.
- [The B2B Command Center for client AI visibility](https://rankecho.io/product/b2b-command-center): Manage client prompt portfolios, branded rooms, pitch pages, digests, and proof reports from one AI visibility workspace.
- [AI Visibility Audit](https://rankecho.io/product/ai-visibility-audit): Run buyer-intent prompts across supported AI engines and review where a brand is named, cited, absent, or replaced in sampled answers.
- [Prompt Intelligence](https://rankecho.io/product/prompt-intelligence): Organize buyer questions by audience, intent, topic, and surface so a fixed prompt panel can be measured and re-tested consistently.
- [Citation Monitoring](https://rankecho.io/product/citation-monitoring): Track sampled mentions, citations, source domains, and share of voice across supported engines on a fixed prompt panel over time.
- [Competitor Radar](https://rankecho.io/product/competitor-radar): See which competitors appear in sampled AI answers, on which prompts, and beside which sources, then investigate the observed differences.
- [Source Intelligence](https://rankecho.io/product/source-intelligence): Separate owned-site citations from external sources such as reviews, forums, and roundups to identify source-coverage gaps.
- [Fix Engine](https://rankecho.io/product/fix-engine): Turn an observed AI visibility gap into a reviewable answer block, schema change, content brief, access fix, or source plan.
- [Proof Loop: same-prompt post-ship observations](https://rankecho.io/product/proof-loop): Re-test the same prompt cells after a change ships and report observed movement, no movement, skips, and uncertainty without causal overclaim.
- [Why RankEcho is different](https://rankecho.io/why-rankecho): RankEcho connects monitoring to fix packages, shipment records, and same-prompt re-tests. It reports post-ship observations without claiming causal proof.
- [The evidence standard behind every RankEcho judgment](https://rankecho.io/product/evidence-standard): How RankEcho decides a brand is a competitor: verdicts cite the texts they judged, unclear stays visible, your override wins, and fix copy is linted first.

## Product
- [Free AI visibility audit](https://rankecho.io/): run a battery of buyer-intent prompts across AI engines and see where you're cited.
- [Solutions](https://rankecho.io/solutions): industry and team-specific AI visibility workflows.
- [Learn](https://rankecho.io/learn): educational guides explaining AI search visibility, citation selection, and measurement.
- [Resources](https://rankecho.io/resources): playbooks, checklists, and templates for AI search visibility.
- [Find resources](https://rankecho.io/resources/find): choose among bounded observation, prompt, citation, competitor, and access diagnostics.
- [Fix resources](https://rankecho.io/resources/fix): choose a reviewable remediation path only after a dated observation supports a specific hypothesis.
- [Prove resources](https://rankecho.io/resources/prove): choose a baseline, matched re-test, method, or reporting workflow after a dated change ships.
- [AI crawler blocked by robots.txt: issue diagnosis](https://rankecho.io/resources/find/issues/ai-crawler-blocked-by-robots-txt): Diagnose a documented AI search crawler blocked by robots.txt without confusing declared policy with reachability, indexing, or citation causation.
- [Fix a verified AI crawler robots.txt block](https://rankecho.io/resources/fix/robots-txt-for-ai-crawlers): Fix one verified AI crawler robots.txt denial with a narrow rule change, protected paths, rollback, deployment checks, and a matched proof plan.
- [Fixed-prompt retest: a before/after proof protocol](https://rankecho.io/resources/prove/fixed-prompt-retest): Repeat a versioned prompt panel after a dated fix with explicit denominators, raw evidence, uncertainty, and no causal overclaim.
- [AI visibility audit worksheet](https://rankecho.io/templates/ai-visibility-audit): Preview or download a versioned AI visibility audit worksheet with availability, access and answer evidence, outcomes, and denominator fields.
- [Prompt portfolio template](https://rankecho.io/templates/prompt-portfolio): Preview, copy, or download versioned prompt-panel formats with exact wording, audience, intent, surface, inclusion, and proof status.
- [AI visibility remediation ticket](https://rankecho.io/templates/ai-visibility-remediation-ticket): Preview, copy, or download a bounded remediation ticket with diagnosis, alternatives, target, acceptance, rollback, and proof handoff.
- [Before/after AI visibility proof report](https://rankecho.io/templates/proof-report): Preview, copy, or download a proof report with matched windows, explicit denominators, raw evidence, uncertainty, and no causal overclaim.
- [Cloudflare AI bot rules: fix one proven access block](https://rankecho.io/resources/fix/cloudflare-ai-bot-rules): Fix one evidenced AI-crawler block in Cloudflare with plan-aware identity checks, exact rule scope, protected paths, validation, and rollback.
- [AI citation gap analysis: manual owned-link evidence](https://rankecho.io/resources/find/ai-citation-gap-analysis): Run a manual, cell-level owned-link gap analysis, preserve source roles and missing observations, and choose a bounded next check without assigning cause.
- [Fact sourcing: repair unsupported claims for AI search](https://rankecho.io/resources/fix/fact-sourcing): Map material page claims to authoritative sources, rewrite or remove unsupported statements, and validate visible copy and structured-data parity.
- [AI citation rate: manual cell-level owned-link formula](https://rankecho.io/resources/prove/citation-rate): Calculate a manual cell-level owned-link rate from eligible observed cells, disclose exclusions, and compare matched cells across periods.
- [Prompt gap analysis: map buyer questions to pages](https://rankecho.io/resources/find/prompt-gap-analysis): Map registered buyer prompts to canonical pages, distinguish missing, partial, and duplicate coverage, and hand one evidence-backed gap to Fix.
- [Direct answer block: make one page answer the question](https://rankecho.io/resources/fix/direct-answer-block): Write one direct-answer block for a verified prompt gap, preserve qualifications and sources, and validate visible HTML without promising selection.
- [Answer volatility: measure repeat-to-repeat variation](https://rankecho.io/resources/prove/answer-volatility): Measure repeat-to-repeat answer variation with stable prompt cells, explicit feature signatures, missing-run handling, and no causal or ranking claims.
- [Wrong page cited: diagnose an owned-URL mismatch](https://rankecho.io/resources/find/issues/wrong-page-cited): Compare owned citations with a registered page owner, retain exact URL roles and failures, and select one bounded next check without assigning cause.
- [Internal link cluster: connect one canonical owner](https://rankecho.io/resources/fix/internal-link-cluster): Build and validate a bounded internal-link cluster around one canonical page while preserving distinct page jobs, canonicals, and outcome limits.
- [Citation persistence: track exact-URL continuity](https://rankecho.io/resources/prove/citation-persistence): Track exact-target citations across ordered windows with a frozen inception cohort, explicit losses, observation gaps, and no causal or durability claim.
- [Weak entity clarity: inventory owned contradictions](https://rankecho.io/resources/find/issues/weak-entity-clarity): Inventory conflicting brand, product, operator, category, and URL claims across owned surfaces without inferring an answer system's entity model.
- [Entity disambiguation: repair one identity graph](https://rankecho.io/resources/fix/entity-disambiguation): Repair one bounded identity graph across visible copy, metadata, and matching schema, then verify parity, delivery, and rollback without outcome claims.
- [Mention vs citation vs recommendation: classify outcomes](https://rankecho.io/resources/prove/mention-vs-citation-vs-recommendation): Classify mentions, owned citations, other citations, and recommendations per fixed cell while retaining ambiguity and collection failures without a rate.
- [Stale product facts: audit owned surfaces](https://rankecho.io/resources/find/issues/stale-product-facts): Compare current product facts with owned-page claims, preserve unverifiable evidence, and isolate stale or missing assertions without inferring cause.
- [Refresh stale product facts with a bounded patch](https://rankecho.io/resources/fix/refresh-stale-product-facts): Map stale or missing product assertions to six bounded changes, then verify page parity, delivery, truthful modification metadata, and rollback.
- [Expected observation lag: use fixed checkpoints](https://rankecho.io/resources/prove/expected-observation-lag): Observe six fixed prompt-surface cells at days 1, 3, and 7; preserve stale, current, unavailable, failed, and right-censored records as counts.
- [JavaScript-only evidence: compare initial and rendered HTML](https://rankecho.io/resources/find/issues/javascript-only-evidence): Compare initial HTML with a rendered DOM, preserve failed collections, and isolate material client-only evidence without asserting provider behavior.
- [Next.js server rendering: repair initial HTML](https://rankecho.io/resources/fix/server-rendering-nextjs): Move one registered evidence panel into a Next.js App Router response while preserving public meaning, metadata, JSON-LD, hydration, and rollback.
- [AI search change versus noise: a bounded classification](https://rankecho.io/resources/prove/change-vs-noise): Compare fixed-cell post-change marks with baseline variation, preserve non-comparable states, and report descriptive classes without causal claims.
- [How to Do Prompt Research for AI Search](https://rankecho.io/resources/find/buyer-intent-prompt-research): Learn how to find real buyer questions, turn them into natural AI search prompts, and map each prompt to useful content with a practical worksheet.
- [How to Optimize Product Pages for AI Search](https://rankecho.io/resources/fix/product-page-for-ai-search): Use this practical product page checklist for AI search: answer buyer questions, support claims, add useful details, and keep normal SEO foundations sound.
- [How to Track ChatGPT and AI Referral Traffic in GA4](https://rankecho.io/resources/prove/ga4-ai-referrals): Find ChatGPT and AI referral traffic in GA4's AI Assistant channel, add source detail, review key events, and understand Google Organic Search exceptions.
- [SaaS Pricing Page SEO: Make Plans Clear to Buyers and AI Search](https://rankecho.io/resources/fix/pricing-page-for-ai-search): Audit your SaaS pricing page for clear plans, billing, limits, exclusions, add-ons, terms, and feature definitions in search and AI answers.
- [How to Build a Monthly AI Visibility Report for Clients](https://rankecho.io/resources/prove/agency-monthly-ai-visibility-report): Copy a monthly AI visibility report for clients that separates search metrics, prompt checks, AI referrals, shipped work, limits, and next decisions.
- [AI Search Content Brief Template: SEO, AEO and GEO](https://rankecho.io/templates/ai-search-content-brief): Copy an AI search content brief with buyer questions, sources, freshness and review checks, a synthetic SaaS example, and an honest workflow handoff.
- [How to Write a SaaS Alternatives Page for Search and AI Answers](https://rankecho.io/resources/fix/alternatives-page): Write a fair SaaS alternatives page with a copyable brief, consistent comparison criteria, dated evidence rules, fit guidance, and a filled example.
- [How to Measure AI Search Traffic and Conversions](https://rankecho.io/resources/prove/citation-to-session-to-conversion): Reconcile AI citations, referral sessions, distinct visitors, SaaS signups, trials, paid accounts, refunds, and collected revenue without causal overclaim.
- [B2B SaaS Buyer Prompts for AI Visibility Tracking](https://rankecho.io/templates/prompt-portfolio-b2b-saas): Copy 21 editable B2B SaaS buyer prompts across category, comparison, alternatives, use case, integration, security, and pricing intents.
- [Writesonic AI Visibility Alternatives: RankEcho, Peec AI and AirOps](https://rankecho.io/compare/writesonic-ai-visibility-alternatives): Compare Writesonic with RankEcho, Peec AI and AirOps for AI visibility, content workflows, plan limits, pricing, switching and same-input evaluation.
- [Scrunch AI Alternatives for Monitoring, Fixes and Agent Delivery](https://rankecho.io/compare/scrunch-ai-alternatives): Compare Scrunch AI with RankEcho, OtterlyAI and Profound by monitoring scope, fix workflow, pricing, plan limits, migration and agent delivery.
- [Goodie AI Alternatives for Agency Cost, Execution and Attribution](https://rankecho.io/compare/goodie-ai-alternatives): Compare Goodie with AthenaHQ and RankEcho for agency pricing, execution, attribution, plan limits, migration and client-work acceptance.
- [AthenaHQ Alternatives for Response Credits and Content Workflows](https://rankecho.io/compare/athenahq-alternatives): Compare AthenaHQ with Peec AI, AirOps and RankEcho by weighted response credits, pricing, content handoffs, plan limits and switching criteria.
- [SaaS Integration Page SEO: Template and Worked Example](https://rankecho.io/resources/fix/integration-page): Write a useful SaaS integration page with a copyable brief for product compatibility, data direction, plans, permissions, limits, support, and setup.
- [Documentation SEO: Checklist, Template and Tested Example](https://rankecho.io/resources/fix/documentation-page): Optimize one SaaS documentation task with a copyable review brief, clear prerequisites, expected results, errors, links, and a locally tested example.
- [WordPress AI Search Visibility Checklist](https://rankecho.io/resources/fix/wordpress-ai-visibility): Check one WordPress page's public intent, Reading setting, CMS output, owners, and real signed-out URL with a tested example and launch worksheet.
- [React Server Rendering for SEO: A Runnable Node Lab](https://rankecho.io/resources/fix/server-rendering-react): Run a React 19 lab that puts buyer answers in initial HTML, checks hydration, preserves status controls, and guides production acceptance.
- [Schema Markup Not Matching Your Page? Find and Fix the Source](https://rankecho.io/resources/find/issues/schema-content-mismatch): Find structured data that disagrees with visible page content. Trace stale prices and conflicting JSON-LD with a tested example and repair checklist.
- [Build a Third-Party Corroboration Plan for AI Search](https://rankecho.io/resources/fix/third-party-corroboration-plan): Build a practical third-party evidence plan for AI search. Copy the worksheet, trace original sources, and prepare a factual correction or editorial handoff.
- [Publish a Research Data Table Readers Can Verify and Cite](https://rankecho.io/resources/fix/source-worthy-data-table): Publish a research data table readers can verify. Copy the HTML example, reconcile missing observations, and add clear methods and source notes.
- [Write Author Bios and Reviewer Credits Readers Can Verify](https://rankecho.io/resources/fix/author-reviewer-evidence): Write accurate author bios and reviewer credits. Copy the worksheet, check contribution records, and align bylines, profile links and schema.
- [Should You Merge Pages Targeting the Same Keywords?](https://rankecho.io/resources/fix/duplicate-intent-consolidation): Decide whether overlapping pages should merge or stay separate. Copy the content consolidation checklist and follow six worked page-pair decisions.
- [How to Compare AI Visibility After Changing Your Prompts](https://rankecho.io/resources/prove/prompt-panel-drift): Changing AI tracking prompts can distort a visibility trend. Copy a panel-change worksheet, reconcile two worked panels and report comparable results.
- [SoftwareApplication Schema for SaaS: Build and Validate It](https://rankecho.io/resources/fix/softwareapplication-schema): Copy a tested SaaS WebApplication example. Check truthful markup, page relevance and Google software rich-result requirements separately.
- [Organization Schema for SaaS: Implement the Homepage and Logo](https://rankecho.io/resources/fix/organization-schema): Implement company and WebSite JSON-LD with a runnable SaaS example. Test valid, undersized and missing logo files, then review production access.
- [AirOps Alternatives: Choose the Workflow You Need](https://rankecho.io/compare/airops-alternatives): Compare AirOps, Writesonic, Jasper and RankEcho by approvals, publishing, AI tracking and total cost. Use a replacement checklist before switching.
- [Surfer AI Tracker Alternatives: Keep the Editor or Replace Both?](https://rankecho.io/compare/surfer-ai-visibility-alternatives): Compare Surfer, Frase, Peec AI and RankEcho for content editing and AI visibility. Copy a worksheet to compare your complete first-year tool costs.
- [HubSpot AI Search Grader Alternatives: What Should You Use Next?](https://rankecho.io/compare/hubspot-ai-search-grader-alternatives): Compare HubSpot's free grader with Semrush, Omnia, HubSpot AEO and RankEcho. Copy a worksheet to choose another check, a page fix or ongoing tracking.
- [Product Schema: Choose Snippets or Merchant Listings](https://rankecho.io/resources/fix/product-schema): Choose Product snippets or merchant listings, copy complete JSON-LD and HTML, and compare four tested cases against image, offer and review requirements.
- [ModSecurity 403: Fix One Public-Page False Positive](https://rankecho.io/resources/fix/cdn-waf-ai-crawler-access): Trace a ModSecurity 403 to its CRS rule, copy a tested exclusion, and verify public content, protected controls, rule order and rollback.
- [AI SEO Testing: Build a Treatment and Control Plan](https://rankecho.io/resources/prove/test-and-control-prompts): Plan an AI search page-change pilot: map source overlap, choose treatment and control groups, and copy a tested protocol before collecting results.
- [How Many Prompts Should You Track for AI Visibility?](https://rankecho.io/resources/prove/prompt-sample-size): Budget AI visibility prompts, repeated runs and engine coverage. Compare three tested collection plans and copy a planner with explicit capacity limits.
- [Noindex and Canonical Conflicts: Diagnose and Fix](https://rankecho.io/resources/find/issues/noindex-canonical-conflict): Diagnose noindex and canonical conflicts with a response-header and raw-HTML check, a copyable worksheet, a tested example, and a bounded repair.
- [Pricing](https://rankecho.io/pricing): plans that unlock the Fix Engine and Proof loop.
- [Content pricing](https://rankecho.io/pricing/content): plans and usage rules for evidence-grounded new-page and page-refresh workflows.
- [Sample fix package](https://rankecho.io/sample-fix): a deterministic demo of the answer block, schema, brief, source plan, and launch sequence inside a paid fix.
- [Agency plan and onboarding](https://rankecho.io/agencies): AI visibility reports for client portfolios - audits, reviewable fix briefs, and matched re-tests across up to 25 domains.
- [Agency GEO service kit](https://rankecho.io/agencies/kit): calculator, client email templates, delivery SOP, and sample deliverables for agency teams.
- [Proof Notes](https://rankecho.io/proof-notes): no case-study records are currently published; the page explains the publication standard and links a clearly labelled deterministic demo.
- [Find-Fix-Prove comparison](https://rankecho.io/compare/find-fix-prove): a workflow comparison covering diagnosis, implementation, and bounded evidence.
- [Free crawler policy check](https://rankecho.io/tools/crawler-policy-check): inspect root-level robots.txt access flags; the result is a policy signal, not evidence of indexing, ranking, or citation.
- [Free technical signal check](https://rankecho.io/tools/agent-readiness): inspect detected page structure, initial HTML, robots signals, a sitemap declaration, and llms.txt with a RankEcho heuristic; it does not test provider access or outcomes.
- [Free AI prompt gap finder](https://rankecho.io/tools/prompt-gap-finder): 12 deterministic candidate prompts from a domain-derived brand, grouped under five fixed intent labels.
- [Free GEO fix preview](https://rankecho.io/tools/geo-fix-preview): preview four editable template artifacts from a supplied prompt and domain; it does not crawl the site, call an engine, or predict a citation.
- [Free AI citation checker](https://rankecho.io/tools/ai-citation-checker): paste an AI answer and see whether it named your brand or cited your URL.
- [Proof Ledger](https://rankecho.io/proof-ledger): methodology, display rules, and current availability for anonymized proof-loop outcome aggregates.

## Guides
- [RankEcho reports](https://rankecho.io/research): Read RankEcho's dated citation study, bounded website-readiness screening, and aggregate product-data methods with populations, limits, and availability.
- [Website AI readiness: what 5,542 business sites show](https://rankecho.io/research/website-ai-readiness): Aggregate one-request screening of 5,542 responding homepages: detected structure, initial-HTML heuristic, denominator, exclusions, and evidence limits.
- [Free AI visibility checkers](https://rankecho.io/tools): Use five no-login checks for robots policy, one answer, page signals, prompt ideas, and a fix preview—with each tool's limits made explicit.
- [Generative Engine Optimization (GEO): an evidence-bounded guide](https://rankecho.io/learn/generative-engine-optimization): Learn GEO through declared AI-answer observations, access and content checks, source research, reviewable proposals, and matched re-tests with limits.
- [AI SEO: what the term actually means](https://rankecho.io/learn/ai-seo): Separate AI-assisted SEO production from declared AI-answer observations, then review access, content, sources, and matched re-tests with limits.
- [LLM SEO: observable checks for AI-answer visibility](https://rankecho.io/learn/llm-seo): Use declared model-product tests, page and access checks, explicit source observations, and matched re-tests without assuming a selection formula.
- [AI search intelligence tools: an evidence-led capability map](https://rankecho.io/learn/ai-search-intelligence-tools): Map AI search intelligence tools by job: monitoring, diagnosis, remediation, retesting, attribution, and reporting—then choose the workflow you need.
- [How to show up in Microsoft Copilot](https://rankecho.io/learn/how-to-show-up-in-copilot): Learn how Bing access, indexed pages, direct answers, structured data, and source coverage can support visibility in Microsoft Copilot.
- [How to allow AI crawlers in robots.txt](https://rankecho.io/learn/how-to-allow-ai-crawlers): Configure AI bot crawl preferences, secure sensitive routes separately, and verify WAF behavior, bot identity, indexing, and outcome limits.
- [GEO vs SEO: how AI search visibility differs from classic SEO](https://rankecho.io/learn/geo-vs-seo): Compare SEO rankings and traffic with sampled AI-answer mentions and source links, including observable publishing inputs and evidence limits.
- [How to show up in Google Gemini](https://rankecho.io/learn/how-to-show-up-in-gemini): Use a fixed Gemini prompt panel, separate mentions from grounded links, improve the page for its user job, and re-test the same API cells.
- [AI search visibility: measure, fix, and prove it](https://rankecho.io/learn/ai-search-visibility): AI search visibility is whether AI engines name, cite, or recommend your brand. The signals that matter, why it differs from SEO, and how to improve it.
- [Answer engine optimization (AEO)](https://rankecho.io/learn/answer-engine-optimization): Learn how AEO improves answer clarity, source support, and page structure without a fixed format, special AI schema, or selection guarantee.
- [How to show up in ChatGPT](https://rankecho.io/learn/how-to-show-up-in-chatgpt): Learn how to test search access, answer extractability, entity clarity, source coverage, and prompt fit with a fixed ChatGPT panel.
- [How to show up in Perplexity](https://rankecho.io/learn/how-to-show-up-in-perplexity): Learn how to test crawler access, direct answers, page freshness, and source coverage with a fixed Perplexity prompt panel.
- [How to get cited by Claude](https://rankecho.io/learn/how-to-get-cited-by-claude): Learn how to test web access, extractability, entity clarity, and source coverage with a fixed Claude prompt panel and run-level evidence.
- [How to rank in Google AI Overviews](https://rankecho.io/learn/how-to-rank-in-google-ai-overviews): Verify Google eligibility, improve useful original content, and measure AI Overview link impressions with a repeatable Find, Fix, Prove workflow.
- [When your page credits a study it never read](https://rankecho.io/learn/secondhand-citations): A claim credits an original publication but links to an intermediary that quoted it. The link resolves, yet the provenance is false. How to catch it.
- [How to collect a matched AI visibility baseline](https://rankecho.io/learn/baseline-nobody-collects): Learn how to capture a fixed prompt baseline before publishing, preserve run-level evidence, and plan a comparable post-change window.

## Engines
- [ChatGPT visibility tracking](https://rankecho.io/engines/chatgpt-visibility): Learn how to record ChatGPT mentions and citations across a fixed prompt panel while separating live-search and non-search observations.
- [Perplexity visibility tracking](https://rankecho.io/engines/perplexity-visibility): Learn how to track whether Perplexity cites a brand or page across a fixed prompt panel and how to retain source-level evidence.
- [Claude visibility tracking](https://rankecho.io/engines/claude-visibility): Learn how to record Claude mentions and cited web sources across a fixed prompt panel, with search availability noted per run.
- [Gemini visibility tracking](https://rankecho.io/engines/gemini-visibility): Learn how RankEcho samples the Gemini API with Google Search grounding, records mentions and sources, handles skipped runs, and reports limits.
- [Google AI Overviews visibility](https://rankecho.io/engines/google-ai-overviews-visibility): Learn AI Overview eligibility, Search Console impression rules, crawler and preview controls, visibility states, and RankEcho tracking limits.
- [Copilot visibility tracking](https://rankecho.io/engines/copilot-visibility): Learn how to record Microsoft Copilot brand mentions and citations while checking Bing access, indexed pages, and source evidence.

## Answers
- [Why does ChatGPT not mention my brand?](https://rankecho.io/answers/why-chatgpt-does-not-mention-my-brand): Diagnose a missing brand mention by checking search access, extractability, entity clarity, source coverage, and prompt fit before choosing a fix.
- [How do you get cited in AI answers?](https://rankecho.io/answers/how-to-get-cited-in-ai-answers): Learn how to get cited in AI answers by fixing crawlability, answer extraction, schema, entity clarity, external sources, and prompt-level proof.
- [Why does AI recommend my competitors?](https://rankecho.io/answers/why-ai-recommends-competitors): Test access, extraction, entity, source, and prompt-fit hypotheses when an AI answer names rivals; record evidence before choosing a fix.
- [AI visibility audit checklist: 8 evidence-first steps](https://rankecho.io/answers/how-to-audit-ai-visibility): Run a repeatable AI visibility audit: fix the prompt panel, record answers and cited URLs, test plausible causes, prioritize changes, and retest.
- [How to improve AI search visibility](https://rankecho.io/answers/how-to-improve-ai-search-visibility): Improve AI visibility with a fixed prompt panel, evidence-led diagnosis, a bounded change, and a matched re-test after the change ships.
- [How to track AI search share of voice](https://rankecho.io/answers/how-to-track-ai-search-share-of-voice): Track prompt-level mentions, citations, recommendations, competitor appearances, source mix, and trends with explicit denominators.

## Comparisons
- [Best GEO tools: a field guide](https://rankecho.io/learn/best-geo-tools): Compare eight GEO tools by plan-level monitoring, content execution, publishing handoff, source research, and post-change evidence.
- [RankEcho vs Gauge](https://rankecho.io/compare/rankecho-vs-gauge): Compare Gauge with RankEcho on AI visibility monitoring, pricing, fixes, source plans, and proof-loop re-tests.
- [Gauge alternatives (2026)](https://rankecho.io/compare/gauge-alternatives): Compare Gauge alternatives by price, engine coverage, prompt tracking, fix output, source intelligence, and proof-loop re-tests.
- [RankEcho vs Otterly.AI](https://rankecho.io/compare/rankecho-vs-otterly): Compare Otterly.AI with RankEcho on AI visibility monitoring, pricing, fixes, source plans, and proof-loop re-tests.
- [Otterly.AI alternatives (2026)](https://rankecho.io/compare/otterly-alternatives): Compare Otterly.AI alternatives by price, engine coverage, prompt tracking, fix output, source intelligence, and proof-loop re-tests.
- [RankEcho vs Peec AI](https://rankecho.io/compare/rankecho-vs-peec): Compare Peec AI with RankEcho on AI visibility monitoring, pricing, fixes, source plans, and proof-loop re-tests.
- [Peec AI alternatives (2026)](https://rankecho.io/compare/peec-alternatives): Compare Peec AI alternatives by price, engine coverage, prompt tracking, fix output, source intelligence, and proof-loop re-tests.
- [RankEcho vs Semrush AI Visibility Toolkit](https://rankecho.io/compare/rankecho-vs-semrush-aio): Compare Semrush AI Visibility Toolkit with RankEcho on AI visibility monitoring, pricing, fixes, source plans, and proof-loop re-tests.
- [Semrush AI Visibility Toolkit alternatives (2026)](https://rankecho.io/compare/semrush-aio-alternatives): Compare Semrush AI Visibility Toolkit alternatives by price, engine coverage, prompt tracking, fix output, source intelligence, and proof-loop re-tests.
- [RankEcho vs Ahrefs Brand Radar](https://rankecho.io/compare/rankecho-vs-ahrefs-brand-radar): Compare Ahrefs Brand Radar with RankEcho on AI visibility monitoring, pricing, fixes, source plans, and proof-loop re-tests.
- [Ahrefs Brand Radar alternatives (2026)](https://rankecho.io/compare/ahrefs-brand-radar-alternatives): Compare Ahrefs Brand Radar alternatives by price, engine coverage, prompt tracking, fix output, source intelligence, and proof-loop re-tests.
- [RankEcho vs AgencyAnalytics for B2B client work](https://rankecho.io/compare/rankecho-vs-agencyanalytics): Compare AgencyAnalytics for B2B client work with RankEcho on AI visibility monitoring, pricing, fixes, source plans, and proof-loop re-tests.
- [AgencyAnalytics alternatives for 2026](https://rankecho.io/compare/agencyanalytics-alternatives): Compare 9 AgencyAnalytics alternatives by current official price or quote status, billing model, agency fit, and AI visibility workflow.
- [AI citation tracker](https://rankecho.io/compare/ai-citation-tracker): Learn what an AI citation tracker should record across prompts, engines, dates, source URLs, and matched post-change re-tests.
- [ChatGPT visibility tracker](https://rankecho.io/compare/chatgpt-visibility-tracker): Compare the data needed to track ChatGPT mentions, citations, recommendations, prompt coverage, and changes over time.
- [Perplexity citation tracker](https://rankecho.io/compare/perplexity-citation-tracker): Compare the data needed to track Perplexity citations, source URLs, prompt coverage, run dates, and changes over time.
- [Best AI visibility tools and checkers for 2026](https://rankecho.io/learn/best-ai-visibility-tools): Compare eight AI visibility tools by current plan access, monitoring, content execution, CMS handoff, and post-change evidence.
- [AI visibility monitoring vs. optimization](https://rankecho.io/compare/ai-visibility-monitoring-vs-optimization): Compare monitoring, which records observed AI visibility, with optimization, which ships a bounded change and measures later observations.
- [RankEcho vs. Profound: plans, workflow, and evidence](https://rankecho.io/compare/rankecho-vs-profound): Compare RankEcho and Profound by current plans, engine scope, content execution, CMS publishing, and post-change evidence.
- [Profound alternative: when RankEcho fits and when it does not](https://rankecho.io/learn/profound-alternative): Compare Profound and RankEcho by price, engine access, content execution, CMS publishing, and bounded post-change evidence.
- [How should you compare a competitor's AI-cited pages?](https://rankecho.io/learn/competitor-citation-comparison): Compare competitor pages observed as cited with pages not observed as cited in a finite prompt-and-engine panel; inspect candidate differences and limits.

## By use case
- [AI search visibility for fintech](https://rankecho.io/learn/ai-visibility-for-fintech): Learn how fintech teams can assess AI answers about cards, banking, payroll, and expense tools while handling financial claims carefully.
- [AI search visibility for healthcare and healthtech](https://rankecho.io/learn/ai-visibility-for-healthcare): Learn how healthcare organizations and healthtech vendors can assess cautious AI answers, authoritative sources, and clinical claim limits.
- [AI search visibility for law firms and legal tech](https://rankecho.io/learn/ai-visibility-for-legal): Learn how law firms and legal-tech teams can assess AI answers by matter and location while respecting advertising and claim limits.
- [AI search visibility for real estate](https://rankecho.io/learn/ai-visibility-for-real-estate): Learn how agents, brokerages, and proptech teams can assess AI answers about neighborhoods, costs, timing, and local services.
- [AI search visibility for travel and hospitality](https://rankecho.io/learn/ai-visibility-for-travel): Learn how hotels, operators, and travel brands can assess AI answers about itineraries, stays, timing, and destinations.
- [AI search visibility for cybersecurity](https://rankecho.io/learn/ai-visibility-for-cybersecurity): Learn how security vendors can assess AI answers about EDR, SIEM, and vendor comparisons with precise, supportable claims.
- [AI search visibility for education and edtech](https://rankecho.io/learn/ai-visibility-for-education): Learn how schools and EdTech vendors can assess AI answers about platforms and programs without overstating educational outcomes.
- [AI search visibility for insurance](https://rankecho.io/learn/ai-visibility-for-insurance): Learn how carriers, brokers, and insurtech teams can assess state-specific AI answers and handle regulated claims carefully.
- [AI search visibility for developer tools](https://rankecho.io/learn/ai-visibility-for-developer-tools): Learn how developer-tool teams can assess AI answers using public docs, repositories, reproducible examples, and stated limits.
- [AI search visibility for recruiting and HR tech](https://rankecho.io/learn/ai-visibility-for-recruiting): Learn how recruiting and HR-tech teams can assess AI answers about ATS, HRIS, payroll, and staffing services.
- [AI search visibility for professional services](https://rankecho.io/learn/ai-visibility-for-professional-services): Learn how consulting, accounting, and advisory firms can assess AI answers using named expertise, evidence, and clear service details.
- [AI search visibility for home services](https://rankecho.io/learn/ai-visibility-for-home-services): Learn how HVAC, plumbing, roofing, and electrical companies can assess local AI answers about providers, services, and costs.
- [AI search visibility for B2B SaaS](https://rankecho.io/learn/ai-visibility-for-saas): Learn how SaaS teams can assess AI answers about categories, comparisons, and alternatives with a fixed prompt panel and cited-source evidence.
- [AI search visibility for ecommerce and DTC](https://rankecho.io/learn/ai-visibility-for-ecommerce): Learn how ecommerce and DTC teams can assess AI product recommendations, comparisons, cited sources, and observed visibility gaps.
- [AI search visibility for agencies](https://rankecho.io/learn/ai-visibility-for-agencies): Learn how agencies can deliver repeatable AI visibility audits, reviewable fixes, matched re-tests, and bounded client reports.
- [AI search visibility for startups](https://rankecho.io/learn/ai-visibility-for-startups): Learn how startups can select a small prompt panel, document observed gaps, ship bounded changes, and measure later results.
- [AI search visibility optimization for B2B SaaS](https://rankecho.io/solutions/saas): Find observed gaps across category, comparison, and alternative prompts, ship reviewable changes, and re-test the same cells.
- [AI search visibility optimization for ecommerce and DTC](https://rankecho.io/solutions/ecommerce): Find observed gaps across product and comparison prompts, ship reviewable changes, and measure the same cells after release.
- [AI search visibility optimization for agencies](https://rankecho.io/solutions/agencies): Run repeatable client audits, prepare reviewable fixes, preserve shipment records, and report matched re-test observations.
- [AI search visibility optimization for startups](https://rankecho.io/solutions/startups): Focus on a small prompt panel, diagnose observed gaps, ship bounded changes, and re-test the same cells after release.
- [AI search visibility optimization for SEO teams](https://rankecho.io/solutions/seo-teams): Extend SEO workflows with fixed AI prompt panels, citation evidence, reviewable on-page or off-site changes, and matched re-tests.
- [AI search visibility optimization for enterprise](https://rankecho.io/solutions/enterprise): Measure fixed prompt panels across products, brands, or regions, prioritize observed gaps, and report matched re-test results consistently.

## Deep dives
- [Indexed but no impressions: prove what the zero means](https://rankecho.io/learn/indexed-but-no-impressions): Diagnose an indexed page with no Google Web Search impressions. Separate true zeroes, missing rows, canonical attribution, filters and preliminary data.
- [A SaaS security page buyers can verify and use](https://rankecho.io/learn/saas-security-page-template): Build a SaaS security page with a copyable claim matrix and fictional example. Scope controls, remove unsupported claims, and route restricted documents.
- [Low CTR in Search Console: find the right page action](https://rankecho.io/learn/google-search-console-low-ctr): Investigate low Google Search CTR by page, query and device. Use five worked cases and a copyable record to choose a justified next action.
- [A SaaS content audit that turns your page inventory into a work plan](https://rankecho.io/learn/saas-content-audit): Audit SaaS content with a copyable template and six-page example. Decide what to keep, refresh or investigate using evidence.
- [Content refresh for SEO: improve an existing page with a clear brief](https://rankecho.io/learn/content-refresh-seo): Refresh an existing page with an SEO checklist, a before-and-after example, and checks for facts, useful links and publication.
- [SaaS use case pages: show buyers how the work gets done](https://rankecho.io/learn/saas-use-case-pages): Plan SaaS use case pages around a real buyer workflow. Get a copyable SEO brief, a completed example and a checklist for avoiding duplicate pages.
- [SaaS feature page SEO: explain the capability buyers need](https://rankecho.io/learn/saas-feature-page-seo): Build a SaaS feature page with clear search intent, product evidence and useful limits. Copy the brief and review a complete capability example.
- [A SaaS case study template built around a useful customer story](https://rankecho.io/learn/saas-case-study-template): Write a SaaS customer case study with a copyable template, interview questions, checked example metrics and a practical SEO publishing checklist.
- [Query fan-out SEO: turn buyer questions into better pages](https://rankecho.io/learn/query-fan-out): Map query fan-out questions to existing pages. Use a worked SaaS example to decide what to improve, link or publish for useful search coverage.
- [Google Search Console’s AI report: find useful content signals](https://rankecho.io/learn/google-search-console-ai-report): Read Google’s Generative AI performance report, understand impressions and missing data, and choose a focused SEO action for each page.
- [Bing AI Performance: turn cited pages into content opportunities](https://rankecho.io/learn/bing-ai-performance-report): Use Bing AI Performance citations, grounding queries and cited pages to choose useful content improvements. Includes a worked SaaS example.
- [Tools to track brand mentions in ChatGPT answers](https://rankecho.io/learn/track-brand-mentions-in-chatgpt): Learn what ChatGPT mention tracking records, how run-by-run evidence differs from trends, and how to investigate an observed gap.
- [What is llms.txt, and how do you write one?](https://rankecho.io/learn/llms-txt): Learn the llms.txt proposal, optional Markdown format, current support limits, and why it does not control crawling, indexing, ranking, or citations.
- [Why AI can't see your Cloudflare site](https://rankecho.io/learn/why-ai-cant-see-your-cloudflare-site): Diagnose Cloudflare crawler failures across robots.txt, AI Crawl Control, WAF order, verified identity, response content, and origin logs.
- [How to track AI citations and share of voice](https://rankecho.io/learn/how-to-track-ai-citations): Track citation rate, share of voice, and engine coverage with a fixed prompt panel, explicit denominators, run dates, and source URLs.
- [FAQPage schema for AI citations](https://rankecho.io/learn/faqpage-schema-for-ai-citations): Learn when FAQPage structured data is eligible for Google features, how it should match visible content, and what it cannot guarantee.
- [Why isn't my site showing up in ChatGPT?](https://rankecho.io/learn/why-isnt-my-site-in-chatgpt): Test search access, answer extractability, entity clarity, source coverage, and prompt fit as separate explanations for a missing mention.
- [What's in a GEO fix?](https://rankecho.io/learn/whats-in-a-geo-fix): A GEO fix turns an AI-visibility gap into a concrete, shippable change. The anatomy: answer block, structured data, crawl fixes, and off-site source plays.
- [How to measure cross-engine citation agreement](https://rankecho.io/learn/cross-engine-citation-agreement): Review a bounded 384-observation analysis of source overlap across engines, including missing citations, denominators, and study limits.
- [Your content audit flagged eighteen things. Three mattered.](https://rankecho.io/learn/content-audit-false-positives): See how human review reduced noisy extractability flags on one page, which checks changed, and what the example cannot establish.

## Data
- [AI Visibility Benchmark](https://rankecho.io/benchmarks): the published Q3 citation study, its observation-level download, and the stated methods and limits for interpreting the data.
- [Technical-screen directory](https://rankecho.io/leaderboard): current directory availability and, when captures exist, ordering by RankEcho's public-signal heuristic; the screen does not observe AI-provider crawling, indexing, citation, or representation.
- [State of AI Citations, Q3 2026](https://rankecho.io/benchmarks/state-of-ai-citations-q3-2026): a versioned study with method, limitations, and downloadable observations.