The complete guide to getting cited, recommended, and recommended inside ChatGPT, Gemini, Perplexity, and Claude. Built and curated by ThriveStack citedby.
Vetted & curated using direct guidance from 28+ industry experts
Scan your site for robot.txt configs, llms.txt, schema structure, and 40+ other AI-readability signals.
Citations are built from the ground up across both Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). Each layer must be solid before the one above delivers results. Tap a layer to filter the checklist below.
↑ You cannot win Earned Media citations without a solid Technical Infrastructure beneath it.
Checking your AI brand visibility requires moving beyond keyword ranking positions on static Google SERPs. When enterprise buyers query ChatGPT, Perplexity, Claude, or Google Gemini, answer engines execute dynamic Retrieval-Augmented Generation (RAG) pipelines that evaluate factual authority, vector similarity, and entity consensus across the web.
Verify whether GPTBot, PerplexityBot, and ClaudeBot can crawl your marketing pages without getting blocked by restrictive robots.txt rules, silent Cloudflare WAF challenges, or client-side JavaScript rendering traps. Host a clean /llms.txt file to guide automated LLM ingestion.
Ensure your Organization, SoftwareApplication, and FAQPage JSON-LD schemas explicitly define your brand entity, founding dates, and sameAs links. Synchronize capability attributes across trusted third-party consensus hubs like Wikidata, G2, Crunchbase, and GitHub to eliminate hallucination risks.
View schema implementation guide →Execute repeat buyer query audits across ChatGPT, Claude, Gemini, and Perplexity using the 5-type prompt framework (Direct Brand, Category Problem, Vendor Comparison, Feature Specific, Implementation Alternatives). Track your Share of Model (SoM) and citation probability across multiple iterations to account for non-deterministic model variance.
Understand tracking variance →Track referral sessions originating from LLM chat interfaces and measure downstream product activation, demo requests, and closed-won CRM opportunities. Connecting AI mentions to revenue proves business ROI and shows which citations actually convert.
Explore revenue attribution playbook →Scans your site across 40+ AI-readiness signals: schema markup, entity clarity, semantic structure, and bot crawlability (GPTBot, PerplexityBot, ClaudeBot). Get a prioritized fix list with copy-paste deployment code.
As organic digital search transitions from search engine results pages to generative synthesis, marketing and RevOps teams need specialized AI brand visibility tools. Traditional SEO suites (like Semrush or Ahrefs) rely on historical keyword search volume and blue-link clickstream panels, which blind them to the real-time, zero-click conversational answers produced by LLMs.
Dedicated AI visibility tools monitor your brand across multiple engines (ChatGPT, Claude, Perplexity, Google Gemini, and Microsoft Copilot), run repeated non-deterministic prompt evaluations, inspect crawler server logs, and attribute conversational citations to downstream CRM pipeline.
We evaluated leading platforms including ThriveStackcitedby, Profound, Peec AI, Otterly.AI, Semrush AI Toolkit, and AthenaHQ across 14 technical capabilities, crawler log analysis, SOC 2 compliance, and revenue attribution.
Leading search authorities agree: generative answers and recommendation engines are the new frontier. Here is how they advise preparing your brand.
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