Search hasn't disappeared — it moved. We attended Conductor's webinar, The AEO Playbook: How to Get Cited and Stay Visible, hosted by Lindsay Hagan (VP of Marketing) and Pat Reinhart (VP of Services & Thought Leadership), and we'd like to summarize their key points on AI's impact for search.
The Short Version: AI crawlers are hitting your site thousands of times and sending almost no traffic back. Impressions are climbing while clicks aren't. That's not a bug in your funnel, it's the new shape of search in AEO (answer engine optimization). Here are five things worth acting on.
1. Fresh Content Is the Key 🔑 — Everywhere, Not Just on Your Site
AI engines have a strong bias toward recency. Not "updated last quarter" fresh, but rather genuinely current. Think this week whenever possible. A page that ranked fine for two years without a touch is exactly the kind of page that quietly stops getting cited.
The mistake is treating freshness as a website problem. AI assembles answers from wherever the good material lives, and a huge share of that is off of your domain: YouTube videos, Reddit threads, community forums, LinkedIn posts, review sites, and industry Slack and Discord conversations. When you audit your citations and find Reddit or a generic listicle answering a question you should own, that's a signal about where the conversation is happening and not just a gap in your blog.
So the cadence has to run across all of it. Weekly insights, monthly refinements, and continuous updates. Publish the post, but also record the video, answer the thread, and refresh the review profile. Speed matters more than polish here. A good page published this week beats a perfect one published next quarter.
One caution the team was blunt about is that this doesn't mean turning on a content generator. AI slop is actively dangerous to your site. Use AI to fix the process (e.g., research, drafting support, optimization passes, refresh triage), not to replace the thinking.
2. People Aren't Searching in Keywords Anymore — They're Prompting, Often With Questions ❓
The old web ran on short queries. For example, "best running shoes," 75K searches a month, and one page to win. The new web runs on paragraphs. The typical prompt reads like a conversation: "Hi, I'm 43 and just starting to run again after a knee injury. What should I look for?"
That changes what you're optimizing for. Instead of a keyword list, build a prompt index: Combine your personas, their intent, and prompt type to map the full space of questions your buyers actually ask. "What's the best organic mattress for a sleeper in their 30s?" "Which running shoes hold up on rough terrain?" Where you're absent from the index, you have a content assignment.
Your index is only as good as your understanding of your buyer. Persona + intent + content + real search demand. Miss on the persona and everything downstream is guesswork.
3. The Metrics Changed, So Stop Grading Yourself on Traffic 🚦
Traditional search measured keyword rankings and sessions, then traced those to the pipeline. AI search measures something different: Citations, AI-referred visitors, and whether the model recommends you at all.
Expect less traffic and more visibility. Someone can learn about you, compare you, and shortlist you without ever loading your page. The goal isn't just being mentioned, it's earning disproportionately positive recommendations, and moving from a stale or misattributed mention to an authoritative, owned narrative.
Run a Health Check: Where do you win, where do you lose, and what's being said when you're not in the room (on places like Reddit)?
4. Structure Your Content the Way AI Actually Consumes It 🤖
Some formats get cited far more than others. The patterns Conductor sees repeatedly:
- FAQ Content: Dense, direct, question-shaped
- Detailed Product Pages: Specific, structured, complete
- Competitor Comparison Content: Increasingly cited, and often ceded to third parties by default
The common thread is density and structure. AI engines need to parse, extract, and attribute. Vague thought-leadership prose gives them nothing to grab.
Technical SEO is also vital, which is what we’ve seen with RebelMouse publishers, too. It hasn’t gone away, it’s only become more important.
5. Make It a Loop, and Know When to Build vs. Refresh vs. Fix ♻️
AEO isn't a project with an end date. It's a cycle: Track → Diagnose → Decide → Act.
Measure activity honestly, such as pages published, pages optimized or refreshed, and pages technically improved, and let what you see in AI citations drive the next move. Here's a helpful table from Conductor:
What You See in AI Citations | What to Do |
Reddit, Wikipedia, generic sources | Build new content |
Low-quality or thin content | Build new content |
Your competitors | Build new content |
Zero citations anywhere | Fix site health first |
Your own page, already cited | Refresh it |
Moving faster doesn't require more headcount. It requires a modern AEO team where content, social and comms, product and brand, and technical all collaborate rather than focusing on separate roadmaps.
Key Takeaways
Four pillars hold up with AI visibility:
- Content
- Technical Health
- Authority
- Measurement
Strengthen those, format so engines can understand and cite you, monitor how crawlability and sentiment shift over time, and prioritize ruthlessly so AEO scales without stalling the SEO work that's still driving results today.
Start with freshness. It's the simplest lever you have, and it's the one AI notices first.
Sound interesting? We help publishers and brands with AEO, too. Get in touch today.
