AI search and Google search are fundamentally different. Understanding the difference is the first step to optimizing for both.
For twenty years, "search" meant Google. You typed a query, got ten blue links, and clicked through. The entire digital marketing industry was built around this behavior.
That behavior is changing. Buyers now split their research between Google and AI assistants. They use Google for broad discovery and navigation. They use ChatGPT, Perplexity, and Gemini for synthesis — "what's the best tool for X, and why?" — and for getting a direct recommendation rather than a list of links to evaluate.
43% of B2B buyers already use AI to research software before visiting vendor websites. This percentage is growing 20% year over year.
Google crawls and indexes web pages. It ranks pages using hundreds of signals: backlinks, page speed, keyword relevance, E-E-A-T, and more. When a user searches, Google returns a ranked list of pages — typically 10 organic results plus paid ads, local results, shopping listings, and featured snippets.
How to win: Traditional SEO — build backlinks, optimize on-page content, improve technical signals, earn high-authority coverage.
What you're optimizing for: Page rankings and clicks. The metric is position and organic traffic.
AI search engines take a different approach:
| Dimension | ChatGPT (base model) | Perplexity | Gemini |
|---|---|---|---|
| Data source | Training data (knowledge cutoff) | Live web crawl | Google index + knowledge graph |
| Response format | Single generated answer | Answer with citations | Answer with sources |
| Update speed | Training cycles (months) | Days to weeks | Days to weeks |
| Citation visibility | Brand names in text | Visible links | Brand names in text |
What AI engines return: A single synthesized answer with brand recommendations embedded. Users don't compare 10 results — they read one answer. If your brand is in it, you're in consideration. If not, you've been eliminated.
How to win: AEO — structured FAQ schema, Organization structured data with sameAs links, entity clarity, answer-formatted content, authoritative third-party citations. See [What is AEO?](/what-is-aeo) for the full introduction.
| Factor | Google Search | AI Search |
|---|---|---|
| Output | List of links | Single generated answer |
| Optimization lever | Keywords, backlinks | Schema, entities, answer content |
| Primary metric | Keyword position | [MentionShare score](/features/mentionshare) |
| Content format | Keyword-rich long-form | FAQ blocks, direct answers |
| Social proof | Backlinks | Review site citations (G2, Capterra) |
| Measurement | Search Console | TrueCite AI visibility tracking |
Google still drives the majority of web traffic. Abandoning SEO to focus on AEO would be a mistake. But the buyer who arrives from AI search converts at 3× the rate of organic Google traffic — because they've already done their research and are ready to evaluate.
The fastest path is to run both in parallel:
They reinforce each other. FAQ blocks with JSON-LD schema improve both Google's People Also Ask feature and AI citation rates. Authoritative content that earns backlinks also earns AI citations. Third-party review site coverage builds both domain authority and AI entity clarity.
Google: Search Console for rankings and impressions, GA4 for organic traffic and conversions.
AI: TrueCite for [MentionShare](/features/mentionshare) across 9 AI engines. Connect GA4 to TrueCite to see AI-referred session volume alongside your MentionShare trend — this closes the loop from AI visibility to actual traffic and revenue.
[Start measuring your AI search visibility](/sign-up) — your baseline scan takes 60 seconds and shows exactly where you stand across ChatGPT, Perplexity, Gemini, and 6 more AI engines.