Influencing AI results isn't about traditional SEO tactics. It's about getting your brand mentioned in the sources AI models are trained on, like Reddit, industry publications, and news articles. The most effective way to achieve this is through modern PR and consistent social media activity, as journalists and writers use these platforms for discovery.

The awareness and problem-solving stages of the buyer's journey, which historically relied on website content and search, are being fundamentally altered. Buyers now use AI to get synthesized, "unbiased" information, bypassing vendor websites entirely for their initial research, thus removing key intent signals for marketing teams.

The traditional B2B marketing mix of SEO, paid search, and content is no longer sufficient. Modern growth relies on activating word-of-mouth through a superior product, leveraging founder social presence for authenticity, and investing heavily in the creator economy (especially YouTube) to reach engaged B2B audiences.

As AI-driven search provides answers directly, traditional website traffic is declining for many. However, YouTube usage is increasing. A robust video strategy on YouTube is no longer optional, as it is becoming the primary platform for discovery and trust-building in the AI era.

The dominance of AI tools like ChatGPT, which favor new and recently updated information, is rendering traditional 'set it and forget it' evergreen content obsolete. AI citations are, on average, nearly a year newer than traditional search results, signaling a fundamental shift in content strategy that marketers must adapt to.

In an AI-driven world, optimizing for website traffic is a losing game. A better long-term strategy is to create high-value content (podcasts, videos, newsletters) across various platforms. This approach helps people directly and simultaneously feeds the large language models that are increasingly becoming information gatekeepers.

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.

The rise of AI agents means website traffic will increasingly be non-human. B2B marketers must rethink their playbooks to optimize for how AI models interpret and surface their content, a practice emerging as "AI Engine Optimization" (AEO), as agents become the primary researchers.

AI search tools like Perplexity and ChatGPT train their models on community forums like Reddit. If your competitors are actively discussed and advocated for in these spaces, AI search will recommend them over you. Therefore, fostering authentic community advocacy is now an essential part of your search strategy.