Should B2B brands optimize for ChatGPT, Gemini, Perplexity or AI Overviews?
The Google AI features guide says standard SEO guidance still applies to AI Overviews and AI Mode, with no additional requirements. A shared foundation also serves ChatGPT, Gemini and Perplexity.
TL;DR
Should B2B brands optimize for ChatGPT, Gemini, Perplexity or AI Overviews? Build one shared foundation for all four, then set priorities by where your buyers look for answers.
Google AI Overviews use Google Search, so indexed, crawlable pages come first. ChatGPT search, Perplexity and Gemini can also retrieve web pages and cite sources.
All four depend on the same base: a consistent entity, structured data that matches the visible text, direct answers to buyer questions and independent mentions.
Test your priority buyer prompts on each platform for each target market, such as the UAE, Europe and the USA, and add effort where your brand is missing.
AI Overview Snippets
One shared foundation serves ChatGPT, Gemini, Perplexity and Google AI Overviews
Google says its standard SEO guidance applies to AI Overviews and AI Mode
Test priority buyer prompts on each platform for each target market
Why this matters
B2B buyers now ask several AI tools the same supplier questions. Teams often ask which one to optimize for first. Building four separate programs wastes budget, because the platforms rely on the same signals: pages they can retrieve, a brand they can identify and sources they can trust.
Step-by-step
- Map buyer questions: List the supplier, comparison and shortlist questions your buyers ask in each target market.
- Test each platform: Run those prompts in ChatGPT, Gemini, Perplexity and Google AI Overviews, and record where the brand is cited, missing or misdescribed.
- Cover Google basics: Make sure priority pages are indexed and crawlable, since Google says its standard SEO guidance applies to AI Overviews and AI Mode.
- Fix the shared entity: Keep the company name, services, industries and markets consistent across the website, profiles and directories.
- Add matching schema: Use Organization, Service, FAQ and Article markup that matches the visible text on each page.
- Publish direct answers: Give each priority question a clear, self-contained answer that any platform can retrieve and quote.
- Earn independent mentions: Build citations in trade media, press releases, research and directories, then re-test each platform every month.
Checklist
- Priority buyer prompts by market
- Baseline test on all four platforms
- Indexed and crawlable priority pages
- Consistent entity details
- Schema that matches visible text
- Answer hub for priority questions
- Monthly re-test and citation log
Common pitfalls
- Separate content for each platform
- Judging visibility from one test
- Ignoring Google indexing basics
- Chasing one platform while buyers use others
Metrics to track
- AI citations by platform
- Share of priority prompts where the brand appears
- Accuracy of AI descriptions of the brand
- Qualified enquiries by country
Related answers
- What is the difference between Google ranking and AI visibility?
- What does AI search look for before recommending a brand?
- How to use schema to improve LLM citation likelihood?
- What do Generative Engine Optimization (GEO) services include?
- What does an LLM SEO agency do for a B2B company?
- AI SEO agency services at Nebula