If you recently visited our YouTube channel or frequent our blog you may have seen our latest video or skimmed the transcript. You might have also noticed something missing from this piece of content: polished, slick video production.
We are publishing a fairly raw, early version of Matthew Ulmer’s video podcast—unfiltered dialogue, stumbles, casual chatter, and all. While traditional content best practices might suggest polishing every frame before pushing “publish,” we’re doing the exact opposite for a very deliberate reason: we are actively testing how publishing comprehensive video transcripts alongside visual media impacts content performance in AI answer engines like Gemini, ChatGPT, Perplexity, and Meta AI.
Testing Content Visibility in the Age of Answer Engine Optimization (AEO)
The way people discover information online has fundamentally shifted. Beyond traditional Search Engine Optimization (SEO), digital visibility now hinges on Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).
Large Language Models (LLMs) and AI answer engines do not “watch” video files in the traditional sense; they process text. While video streaming platforms have made strides in automated captions, native text transcripts embedded directly on a webpage provide search crawlers and AI bots with structured, highly dense semantic data.
By releasing full, raw transcriptions of our discussions—such as Matthew Ulmer and Laura Jo Sharpe’s debate on Meta vs. LinkedIn for B2B lead generation—we are testing several key hypotheses:
Entity Recognition & Context Density: Does providing raw conversational text help AI models better index natural speech patterns, specific industry jargon, and niche topics?
Citation & Source Attribution: How reliably do AI search tools parse, extract, and cite direct quotes or strategic takeaways from page-embedded transcripts compared to plain blog posts?
Multimodal Indexing Speed: How quickly do generative engine bots index a page featuring both video media and complete text, and does the presence of the transcript improve overall topical authority for the video’s core theme?
Practicing What We Preach: Always Experimenting at Arc
At Arc Intermedia, we have never been an agency that relies on theoretical playbooks or outdated industry “best practices”. The digital ecosystem evolves too quickly for static strategies, especially in an era dominated by rapid AI advancements.
Our philosophy is simple: We test new strategies on ourselves first.
Whether it is experimenting with Generative Engine Optimization, testing new paid media algorithms, refining workflow automations, or analyzing how AI bots index rich content formats, our own digital footprint—our website, our content, and our social media channels—serves as our proving ground.
We run these live experiments internally so that when we deploy strategies for our clients, we aren’t guessing. We are bringing real-world data, proven tactics, and firsthand insights to the table to maximize their search visibility, drive customer acquisition, and ensure their brands stay ahead of the curve.
Stay tuned as we continue to track how this raw transcript and video perform across emerging AI discovery tools—and expect to see those learnings rolled out across our client campaigns soon!
