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What is AEO, and why is it suddenly the conversation?

Answer engine optimization is what SEO turns into when most queries get a synthesized answer instead of a list of blue links. Here's what's actually different — and what isn't.

·BCited·AEO

For about twenty years, the answer to "how do I get my site in front of more people who're searching" was the same: rank on Google. Win the right keywords, build the right backlinks, structure your pages so the crawler can read them, repeat.

Then a fast-growing share of those queries stopped going to Google. They went to ChatGPT, Claude, Perplexity, Gemini — tools that don't return a list of links. They return one synthesized answer, drawn from a handful of sources the model picked.

If your site isn't one of those sources, you're invisible. Doesn't matter how well you rank on the page that no one bothered to load.

Answer Engine Optimization (AEO) is what comes next. It's the practice of getting cited — not just ranked — when an AI tool answers a user's question.

What's actually different from SEO

The fundamentals haven't changed:

  • Topical authority still matters. Models cite sources they perceive as authoritative on the topic. The signals overlap heavily with Google's ranking signals: link patterns, content depth, structured data, recency.
  • Structure still matters. A well-organized page with clear H-tags, FAQ sections, and JSON-LD gets parsed faster and cited more often. This is good news — most of your existing SEO work translates.
  • Editorial credibility still matters. Pages with citations to primary sources outperform pages without. Models reward sites that themselves cite well.

What's new:

  • Cite-ability beats click-ability. A page optimized for SERP CTR — punchy title, scarcity language, urgency — does worse in AEO than a flatter, more factual treatment. LLMs prefer extractable claims.
  • Q&A blocks pay outsized dividends. A page with explicit "What is X? X is…" structure gets cited 2-3× more often than the same content as prose.
  • Citations are zero-sum. Google can show you and a competitor on the same SERP. An AI answer picks one or two sources, full stop. Losing the cite means losing the entire surface for that query.

What it costs to ignore it

Two things, in order of magnitude:

  1. The traffic you lose to AI-answer-first queries. These are growing fastest in the question-shaped queries — "how do I", "what is", "compare X vs Y" — which is exactly the editorial-funnel content that drove a lot of B2B SaaS top-of-funnel.

  2. The brand absence in AI consideration sets. Even users who eventually convert via traditional channels often started with an AI assistant query weeks earlier. If your brand wasn't in that initial answer, you're not in the consideration set.

You can measure the first directly — declining click counts on question-shaped queries in your Search Console. The second is invisible until you actively probe for it, which is what AEO tracking tools do.

What BCited actually does

We track a prompt set — questions your prospective customers might ask — across OpenAI, Anthropic, and Perplexity. For each prompt, on each engine, every day:

  • Did the answer cite your domain?
  • Did it mention your brand in the body without linking?
  • What position were you in the citation list?
  • Which competitors got cited instead?

Then we roll those into a single 0–100 Visibility Score, break it down per engine, and pair it with the Topical Cluster and Authority data we already pull from Google Search Console.

The whole point is to tell you, concretely: are AI engines citing you yet, and if not, who are they citing instead?

Where to start

If you're new to all this:

  1. Audit a handful of prompts. Pick 5–10 questions a prospective customer might ask an AI assistant. Run them yourself in ChatGPT or Perplexity. Note who gets cited.
  2. Find the gap. Cross-reference what's cited against pages on your site. If the AI is citing competitors for queries you should own, that's the work.
  3. Optimize the gap pages. Add explicit Q&A blocks, FAQ schema, clean H-tag structure. Avoid persuasion-heavy copy on the pages you want LLMs to extract.
  4. Track over time. Manual probes are useful once. Tooling matters when you want to know if you're getting better or worse week-over-week.

If you want to skip the manual probes, sign in with Google — BCited connects to Search Console and runs the prompt set automatically.

What is AEO, and why is it suddenly the conversation? — BCited