What it means for a marketing team
Your buyers have started asking AI assistants the questions they used to type into Google, such as which tool suits a team of 15 or what the alternatives to a particular vendor are. The written answer usually names a few options. AEO is the effort to make sure your brand is among them, described accurately, and backed by sources you would be happy to see.
The outcome is partly brand and partly demand capture. Being named in an answer is closer to a recommendation than to a ranking, and the reader may never reach your site at all. That is why click reports alone understate what is happening.
Who should own it
AEO cuts across three functions, and it stalls if only one of them works on it.
One person should still be accountable for the number. In most teams that is the head of organic or SEO.
What to report
Pick a small set of measures and keep them stable from month to month.
- Share of answers. Out of a fixed set of answers, how many name your brand, and how many name each main competitor.
- Citations. How many answers link to your own pages.
- Top cited sources. Which third-party sites appear most for your questions. This list is your PR target list.
- Accuracy. Whether answers describe your pricing and features correctly.
- AI referrals. Visits from AI services in your analytics. Useful as a trend, but it undercounts because many readers don't click.
Give the denominator every time. "Named in 12 of 60 answers" invites the right questions. A bare percentage on a small sample invites the wrong decisions, and our guide to measuring AI visibility explains why.
A 30-day plan
Week 1: find out where you stand
Check robots.txt against the AI crawler directory, write 20 to 30 buyer questions with your sales team, and record the first answers across at least two services.
Week 2: read the answers
Look for three things: questions where competitors are named and you are not, answers that describe you incorrectly, and the sites cited most often. The AI recommendation leaderboards show what this looks like for whole categories.
Week 3: fix one of each
Rewrite one page so it answers one question directly. Correct one inaccuracy at its source, which often means your own pricing or product page. Start one conversation with a site that gets cited often and does not mention you yet.
Week 4: repeat and report
Ask the same questions again, compare with the first round and share what changed. Expect noise at this stage. The point of the first month is a baseline your team trusts.
Common mistakes
- Reporting screenshots. One good answer isn't a result, because the next run may differ.
- Writing only for your own site. If answers in your category mostly cite review sites and the press, your blog alone can't close that gap.
- Blocking crawlers by accident. A rule meant to decline model training can also cut off the search crawlers that lead to citations.
- Buying promises. No vendor controls what an AI answer says. Treat any guarantee of placement as a warning sign.
For definitions, see what is answer engine optimization and AEO vs. SEO vs. GEO. If you are comparing software, start with our guide to the best AEO tools. If you would rather hire someone, see what AEO agencies charge.
