To make content discoverable by AI, static 'resource pages' with downloadable assets are becoming obsolete. Gated content will still be used for lead generation, but it will be offered transactionally within specific campaigns (e.g., via email or paid social) rather than living permanently on a website.
Websites now have a dual purpose. A significant portion of your content must be created specifically for AI agents—niche, granular, and structured for LLM consumption to improve AEO. The human-facing part must then evolve to offer deeper, more interactive experiences, as visitors will arrive with their basic research already completed by AI.
The audience for marketing content is expanding to include AI agents. Websites, for example, will need to be optimized not just for human users but also for AI crawlers that surface information in answer engines. This requires a fundamental shift in how marketers think about content structure and metadata.
Instead of directing users to a landing page with a form, ask them to simply reply to the email with a keyword to receive a guide or discount. This reduces friction and can exponentially increase the number of people who take the desired action compared to traditional methods.
AI's need for scannable content will render traditional gated resource pages obsolete. Gated assets will still exist but will be offered transactionally through specific campaigns, like an email or a paid social post, rather than living permanently behind a form on your site.
Tools like Lovable.dev allow marketing teams to create functional, niche-specific landing pages with payment collection simply by describing them. Instead of one generic page, you can instantly build a tailored experience for a segment like "plumbers in the Midwest," drastically increasing campaign relevance and speed.
Leverage AI tools to process transcripts from long-form content like webinars or podcasts. Prompt the AI to extract key takeaways and tactical advice, which can be quickly turned into valuable email sends. This creates an efficient content engine and drives traffic back to original assets.
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.
New AI-powered browsers struggle to index content locked in PDFs. To ensure your information is discoverable and summarized correctly by these tools, you must replicate gated content in standard, scannable HTML on your website.
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.
As users increasingly get answers from AI assistants, marketing strategy must evolve from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). This means creating diverse, authoritative content across multiple platforms (podcasts, PR, articles) with the goal of being cited as a trusted source by AI models themselves.