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Glossary

Answer Engine

An answer engine is an AI system, such as ChatGPT, Perplexity, Gemini, Google's AI Overviews, or Copilot, that responds to a question with a direct written answer naming a small number of options instead of a page of ranked links.

An answer engine is any AI system a person asks a question and gets a direct, written answer back, rather than a page of ranked links to click through. ChatGPT, Perplexity, Google's AI Overviews, Google's AI Mode, Microsoft Copilot, and Gemini all work this way. Claude does too for general questions, though it has no Maps integration or local-business surface, so nobody has published data on how it handles local recommendations specifically.

Traffic to these engines is still a small fraction of the web overall. AI platforms account for roughly 0.32% of all website traffic as of 2026, up from 0.24% in 2025 and 0.02% in 2024, according to Similarweb-family data, compared with organic search at about 42.75%. Within that AI referral traffic, ChatGPT accounts for about 74.78%, Gemini 11.56%, Perplexity 7.23%, Copilot 3.51%, and Claude 2.62%.

Each answer engine behaves differently in how many sources it cites and which ones it prefers. Google AI Overviews reference about 7.7 domains per response and Perplexity about 7.3, versus about 5.0 for ChatGPT and 2.5 for Copilot, according to Profound. That means a strategy tuned for one engine, more citable sources per answer versus fewer, doesn't transfer evenly to the others.

Answer engines are distinct from the classic 3-pack local map result you see in Google Search, which is still driven by Google Business Profile signals rather than a generated answer. Nobody has published a clean study comparing how often an AI Overview appears on a local query versus the local 3-pack, so treat any specific percentage you see for that comparison as unverified.