Why do ChatGPT and Claude give different scores for the same website?
Different training data, different evaluation criteria, different citation priorities. ChatGPT (GPT-5.2) focuses on conversational query matching and content retrievability. Claude (Opus 4.6) emphasizes structured data completeness and entity disambiguation. HelpSquad scored 47 on ChatGPT but only 42 on Claude — that 5-point gap reveals exactly which signals each engine cares about.
What AI engines are used in multi-engine audits?
We currently audit with ChatGPT (GPT-5.2), Claude (Opus 4.6), and Gemini (2.5). Each engine evaluates the same 22 AEO criteria independently, producing separate scores, verdicts, and recommendations. The comparison dashboard shows all results side by side.
Which AI engine should I optimize for first?
Start with the 22 AEO criteria that work across all engines. If you must pick one, choose by audience: ChatGPT for consumer-facing businesses, Claude for enterprise and professional contexts, Google AI Overviews if your traffic is Google-dependent. The multi-engine audit shows which engine gives you the biggest gap to close.
What does the engine comparison dashboard show?
Per-engine scores with visual gauges and delta badges showing the gap between engines. Verdict comparison. A scorecard table showing how each criterion scored across engines. Merged opportunity recommendations with engine badges indicating which engine flagged each improvement.
Can I see engine-specific recommendations?
Yes. Each engine produces its own findings and recommendations. On the comparison dashboard, opportunities are merged and tagged with engine badges — you can see which improvements are flagged by one engine versus all engines. Recommendations that appear across multiple engines are your highest priority.
How often do AI engines update their ranking criteria?
Continuously, often without announcements. Major model updates — a new GPT version, a new Claude release — can shift citation patterns overnight. This is why regular re-auditing matters. A score from three months ago doesn't necessarily reflect current engine behavior.
What is the Gemini engine and how does it differ?
Gemini 2.5 is Google's AI model powering Google AI Overviews — the AI summaries at the top of Google search results. It evaluates content for knowledge graph alignment, multimodal retrieval, and AI Overview inclusion. Since AI Overviews appear on over 30% of searches, Gemini optimization directly affects your Google search visibility.
Do engine scores correlate with actual AI citations?
Audit scores measure technical readiness — whether your content is structured for AI extraction. Visibility scores measure actual citation rates. Higher audit scores generally correlate with better visibility, but domain authority, content relevance, and competition also play a role. You need both metrics for the complete picture.