Traditional search analytics track Google rank positions, impression volume, and page load speeds. However, as user traffic migrates to generative answers, checking your standard Google rank is no longer enough to map your digital share of voice.
To understand how conversational engines represent your brand, you need to run a dedicated AI visibility audit. This allows you to check your AI visibility, identify recommendations, and secure citations inside ChatGPT, Gemini, and Perplexity.
What is an AI Visibility Audit?
An AI visibility audit is a diagnostic review of how conversational large language models (LLMs) interpret, categorize, recommend, and reference your business relative to competitors for key industry search queries.
Phase 1: Semantic Query Mapping
Before prompting AI engines, compile your semantic query profile. Conversational prompts look very different from shorthand Google keywords:
- Short-tail comparisons: “What is the best alternative to Competitor X for SaaS analytics?”
- Feature queries: “Which invoicing software integrates with QuickBooks and supports custom branding?”
- Context-rich prompts: “I am a marketing director at a 50-person agency. How do I automate client reporting templates?”
Phase 2: Live Generative Engine Auditing
Run your prompts through live search-enabled conversational platforms (ChatGPT Search, Perplexity Pro, Google Gemini). Note these metrics:
- Recommendation Share: Does the AI mention your brand in the synthesized summary?
- Citation Index: Does the AI link to your site? Higher up in the response yields higher conversion value.
- Sentiment & Alignment: Is the AI describing your product features accurately?
Phase 3: Schema & Wikidata Audit
Finally, audit your technical foundation. Run your homepage and core pages through an entity checker to verify:
- Comprehensive JSON-LD schemas are mapped.
- Your organization profile has verified linkages to Wikidata and Google Knowledge Graph IDs.
- Your brand is cited in high-DR review directories and directory entity paths.
To dive deeper into actionable steps, check out our tutorial on How to Optimize for ChatGPT & AI Search Engines.
Generate Your Live AI Audit Report
Skip the manual prompting. Use Optymia's automatic scanner to query AI engines in real-time, audit your entity relationship schemas, and calculate your Astra Score instantly.
Frequently Asked Questions
What is Optymia AI?+
Optymia AI is an AI Visibility Operating System that helps brands rank inside ChatGPT, Perplexity, Google AI Overviews, and Gemini. It combines Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), classic SEO, and citation tracking in one dashboard.
How is AI search optimization different from traditional SEO?+
Traditional SEO optimizes for 10 blue links ranked by backlinks and on-page signals. AI search optimization (GEO/AEO) optimizes for being cited inside a single synthesized answer, which requires structured data, entity clarity, third-party citations, and answer-ready content blocks.
Which AI engines does Optymia track?+
Optymia tracks brand visibility across ChatGPT Search, Perplexity, Google AI Overviews, Gemini, and Claude — measuring citation share of voice, mention frequency, and competitor co-occurrence.
Do I need to keep doing SEO if I use Optymia?+
Yes. Google organic still drives most B2B and commercial traffic in 2026. Optymia includes classic SEO agents (schema, internal links, sitemaps, Core Web Vitals) so you get both traditional SERPs and AI answers from one platform.
How quickly will I see AI visibility improvements?+
Schema fixes and citation-ready content blocks are usually picked up by Perplexity within 7–14 days. ChatGPT and Google AI Overviews typically take 3–6 weeks because they cache training and grounding data on slower cycles.