For visibility in AI tools like ChatGPT, the rules are different from Google SEO. Patel explains that AEO prioritizes the frequency and sentiment of brand mentions across the web, whereas traditional SEO heavily relies on backlinks, even if they don't explicitly name the brand.

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Businesses excelling at traditional SEO can still be invisible to AI-powered search engines. AI prioritizes structured data (schema) and directory signals differently than Google's algorithm. A separate strategy for "Answer Engine Optimization" (AEO) is now required.

Following SEO, App Store Optimization, and social virality, the next major distribution channel is AI answer engines. Product teams must now strategize how to get their brand, features, and knowledge base indexed and surfaced in AI responses, making AEO a critical growth lever for the modern era.

As users increasingly turn to AI for answers, clicks to websites are dropping. Brands must now focus on Answer Engine Optimization (AEO), structuring their site's data and content to be easily scraped and presented by AI, not just ranking for keywords in traditional search.

Traditional SEO values backlinks from any page on a high-authority domain. Answer Engine Optimization (AEO) is different. The only thing that matters is getting mentioned on the *specific URLs* that an LLM already cites for your target prompts. Your off-page strategy must be surgical, focusing only on these pre-identified sources.

With 80-90% of AI-powered searches resulting in no clicks, traditional SEO is dying. The new key metric is "share of voice"—how often your brand is cited in AI-generated answers. This requires a fundamental strategy shift to Answer Engine Optimization (AEO), focusing on becoming an authoritative source for LLMs rather than just driving website traffic.

Unlike traditional SEO, which focuses on keywords and links, GEO aims to make your brand visible in AI-generated answers. This is achieved by becoming a citable, trusted authority, which requires a blend of public relations, high-quality owned content, and technical site readiness.

Unlike traditional SEO that relied on backlinks, modern search engines and LLMs recognize and value mentions of your brand name even without a hyperlink. This broadens the scope of brand-building for SEO, as any text mention across the web contributes to your authority.

Unlike traditional SEO where the top link wins, in LLMs, the answer is a summary of many sources. The brand mentioned most frequently across all citations is most likely to be recommended, even if it's not the top-ranked source. This changes the strategy from ranking to saturation.

While traditional SEO requires long-term investment, startups can achieve quick AI Engine Optimization (AEO) wins. LLMs often surface brands mentioned in third-party publications. This makes a PR strategy focused on getting mentioned by others a high-leverage AEO tactic for new companies.

AI models use platforms like Reddit and Quora as 'humanity verifiers.' High-velocity, positive mentions in authentic community discussions are now more valuable trust signals for AI than a high volume of traditional backlinks from content farms.