• by Jenneva Vargas , 9 hours ago

Most brands don’t show up positively in AI-generated answers. The problem isn’t strategy; it’s infrastructure. From massive structural gaps to seemingly small content glitches, cracks in supporting systems marketers didn’t know about before are compromising presence. 

A 19,000-advisor network will be invisible to AI without the schema markup to stitch it together, while a 185-character blog title eludes LLMs that only read 160 characters. Both limit a brand in AEO the way leaning walls and leaky plumbing compromise a home sale. You can renovate the kitchen all you want. The house won't sell without systemic repair.

In AEO, that means fortifying the fundamentals before you even think about building an AI agent.

Fix your site. AI crawlers need to parse your site. Enabling them requires three new fundamentals. The first is an lms.txt file, which tells LLMs what to index and gives AI a confident path through the site. Then every page needs a schema markup (an extension to the HTML file) that tells AI what it is and what it means. And all content needs to be at minimal crawl depth, accessible within a few clicks. A healthcare site that puts patient stories 100 clicks deep renders them unreadable by AI. 

Fix your blog. Volume doesn't win in AEO; depth and coherence do. A brand with 12 tightly interlinked, schema-tagged posts on a single high-value topic will outperform one with 200 scattered articles. That discipline, called topic clustering, is one of the highest-leverage, lowest-cost moves available to any content team. The priority content also needs to live within two or three clicks of your homepage, not in your archive.

Code your content. LLMs don't listen to podcasts. They comb transcripts. Every executive podcast, conference session, and product demo without a structured transcript is invisible to AI. The same goes for the research reports, white papers, and benchmark studies living as gated PDFs. AI cannot index, read, or cite a PDF. It needs an ungated summary page with full schema markup to surface and credit your brand, even if the full document stays behind a form.

So, prioritize content that presents the expertise you most want AI to associate with your name. For a financial services firm, that's flagship research. For a healthcare system, it's physician credentials and clinical outcomes. For a B2B software company, it's the use cases structured to answer the questions prospects ask AI when they're evaluating solutions. 

Build that infrastructure before you build anything else. Because the best big new thing is all the little things you haven't done yet.