The rise of AI chatbots like ChatGPT and Claude has created a new frontier for marketers beyond SEO: "Answer Engine Optimization" (AEO). Brands are struggling to understand what consumers are prompting, how to ensure their products are included in AI-generated responses, and how to guarantee that information is presented accurately.

Unlike traditional search which serves links, AI "answer engines" provide opinions and summaries. This creates a new marketing vector: sentiment. Brands must now track not just if they are mentioned, but *how* they are described, and analyze why that sentiment changes over time.

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.

With the rise of AI-driven agent search, consumers use conversational prompts ('What should I pack for Greece?') instead of simple keywords. To appear in these results, brands must shift from keyword optimization to tracking data on sources, sentiment, and contextual relevance to avoid becoming invisible.

Brands are losing business because AI tools recommend competitors. The critical first step is to systematically query engines like ChatGPT and Claude with common buyer prompts. Compiling the results into a report reveals gaps and creates the urgency needed to secure buy-in from leadership to address them.

Tracking success in LLMs isn't about UTMs, as it's top-of-funnel discovery. Instead, use three key metrics: Share of Voice (% of time you appear vs. competitors), Mention Rate (% of time your brand is mentioned), and Citation Rate (% of time your site is linked in an answer).

Unlike traditional SEO's focus on backlinks, ranking in AI search depends on the density and authority of brand mentions across diverse sources like PR, podcasts, Reddit, and review sites. AI models look for consensus in online conversations to determine which brands to recommend for specific queries.

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.

In AI interfaces, a brand's content can influence millions of purchase decisions without a single user clicking a link or seeing the source material. Key metrics must shift from traffic to influence, recommendation rates, sentiment, and share of voice within AI-generated answers.