AEO vs SEO, what actually changes

The short version

SEO optimizes for ranking in a list of links. AEO optimizes for citation inside a generated answer. Same underlying skill, making your content useful, structured, and discoverable, but the success metric, the surface, and the cite-graph that powers it are different enough that you can’t do one and assume the other is handled.

Here’s the longer version, with the practical implications for what your team actually changes this quarter.

Where the two converge

Both still reward the same fundamental things:

• Real authority on a topic, signalled by who links to you, who cites your data, and how often your name appears alongside the category’s actual experts.
• Clean technical surface, fast pages, no render-blocking junk, semantic HTML, schema markup where it’s earned.
• Topic coverage, head terms supported by a layered tree of long-tail pages that demonstrate depth, not just breadth.

If you’re already strong at SEO, you have ~60% of what AEO needs. What you’re missing is mostly in the next section.

Where the two diverge

1. The cite-graph isn’t the link-graph.

Google’s PageRank is a function of inbound links. LLM citations are a function of a much smaller, more curated source set, and that set varies by platform. For B2B SaaS in early 2026, ChatGPT pulls heavily from G2, the platform’s own site, and a small number of independent analyst-style blogs. Perplexity weights Reddit and recent news more heavily. Claude favors documentation and primary sources.

Optimizing for inbound links won’t move these. You have to be present on the actual surfaces each platform crawls.

2. The unit of value is the citation, not the click.

In SEO, a high-ranked page only matters if the user clicks. In AEO, the citation itself is the win, your name appears in the answer, which becomes a recommendation the buyer carries into their next query. Click-through is downstream, not the goal.

This changes content shape. SEO rewards a long, definitive guide that ranks for the head term. AEO rewards a tight, direct answer that the LLM can excerpt cleanly.

3. Your name in third-party sources beats your name on your own page.

LLMs discount self-referential claims. “We’re the best at X” on your homepage carries near-zero citation weight. The same claim, made by a G2 reviewer, a Reddit thread, or an independent newsletter, carries real weight. The implication: your AEO budget should fund earned presence, not just on-site content.

4. Recency matters more.

LLMs lean toward recent sources for fast-moving categories. A five-year-old blog post that still ranks well on Google can be invisible to ChatGPT. AEO programs need to refresh top sources every quarter, not because the content is wrong, but because the platform prefers a fresh anchor.

What this means for your team this quarter

If you’re running a standard SEO program and want to add AEO without doubling headcount, here’s the leanest path:

• Pick the 20 buyer queries that matter most. For each, manually run them in ChatGPT, Claude, and Perplexity. Note who gets cited and where they get cited from. That list of source pages is your work queue.
• Earn presence on those sources. Pitch the analyst-blog authors. Get on the G2 alternatives list. Participate, named and in good faith, in the Reddit threads where your buyers actually read.
• Rewrite your three highest-intent pages for direct-answer clarity. Lead with the answer in the first sentence. Use heading hierarchy that maps to the question structure. Add an FAQ block at the bottom with schema.
• Refresh, don’t republish. Audit your top 10 pages every quarter. Update dates, refresh sources, tighten the headline. LLMs reward this; Google doesn’t penalize it.

Why you still need both

The buyer journey is rarely single-channel. They might ask ChatGPT for a shortlist, click through to one of the cited reviews, then search Google for “$brand vs $competitor” before booking a demo. If you’ve only optimized for one platform, you lose the deal at whichever step you’re invisible.

The teams winning right now are running a unified program where every artifact, page, review, Reddit comment, analyst pitch, ladders into the same source-graph. That’s the whole game.