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.

Related Insights

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.

In an era dominated by AI chatbots, a website's relevance increases. These AI systems don't create information; they crawl the web to find it. Your site serves as the foundational data source, making a well-structured, up-to-date digital presence critical for discoverability and accurate representation by AI.

Instead of guessing how to make your site more compatible with new AI browsers, directly ask the AI itself. Prompt ChatGPT with your URL and ask what changes are needed on your site to ensure the right answers appear when users search with the Atlas browser.

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.

Existing AI tools are good at either "asking" for information (e.g., search) or "doing" a task. AI-first browsers like Comet struggle because browsing requires seamlessly blending both intents, a difficult product challenge that has not yet been effectively solved, hindering their adoption.

The future of search isn't just about Google; it's about being found in AI tools like ChatGPT. This shift to Generative Engine Optimization (GEO) requires creating helpful, Q&A-formatted content that AI models can easily parse and present as answers, ensuring your visibility in the new search landscape.

A simple but effective method to feed context into an AI project is to use the "Print to PDF" function on websites. This works well for company marketing pages, support articles, or competitor pricing, instantly turning structured web data into a usable file for the AI's knowledge base.

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.

Unlike Google Search, which drove traffic, AI tools like Perplexity summarize content directly, destroying publisher business models. This forces companies like the New York Times to take a hardline stance and demand direct, substantial licensing fees. Perplexity's actions are thus accelerating the shift to a content licensing model for all AI companies.

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.