AEO: the practical guide

New to the topic? Start with what AI visibility is and how it's measured — this guide is about how to improve it.

AEO vs SEO

AEO does not replace SEO — answer engines read the same web, and strong review coverage or comparison content often powers both. But the feedback loop is different: nothing in your SEO stack tells you what ChatGPT said about you in Germany yesterday.

How answer engines choose what to recommend

An assistant assembling “best CRM for a small agency” blends what its model already associates with the category and what it retrieves at answer time — comparison articles, review sites, forum threads (Reddit features heavily), retailer listings, and vendors' own product data. Then it compresses all of that into five to eight names with reasons.

Three consequences follow:

• Third parties outvote you. Engines cross-check claims. Being called “the best” on your own site does little; being recommended in the sources the engine trusts does a lot.
• Consistency is credibility. Conflicting specs, prices, or category language across your pages and feeds read as uncertainty — and uncertain entities get dropped from confident answers.
• Every market is its own contest. The sources differ per country, so the shelf does too. Winning the US shelf does nothing for the German one.

The AEO loop

1. Measure the baseline. Mention rate, rank, and share of voice for the real buyer questions in your category, per market, sampled repeatedly. Without this, everything after is guesswork.
2. Map the winnable ground. Almost every brand already owns some niche question the model associates with it — and most categories have high-volume questions where no one dominates yet. The gap between the two is your roadmap.
3. Close the source gap. List the publications, review sites, and threads the answers cite where you're absent. Earn presence there: reviews, comparison inclusions, retailer listings, honest community answers. This is the highest-leverage work in AEO.
4. Fix your own data. Structured data (schema.org) on products and the business, consistent specifications everywhere the engine might look, plain category language. For stores, catalog hygiene is the foundation — see the WooCommerce guide, and the plugin's free product-data audit.
5. Re-measure and watch the shelf move. Weekly. Expect membership (are you named?) to improve before rank does — that's the normal shape of progress.

What doesn't work

• Self-declared superlatives. Stuffing “best” claims on your own site — engines weigh third-party consensus.
• One-off manual checks. Answers vary run to run; a single check tells you about one answer, not your visibility. Decisions need sampled data.
• Treating one answer as global. The shelf is different in every market. A US-only check of a European brand measures the wrong thing.
• Hygiene mistaken for strategy. An llms.txt file and schema markup are worth having — but they're table stakes, not levers that put you on a shelf a competitor owns.

Where a tracker fits

Everything above can be done by hand, once. The loop only compounds if the measurement half is automatic — the same questions, the same markets, week after week, so you can see whether the source work actually moved the shelf. That measurement layer is what Dizem is: it scans your category across your markets, names the competitors taking the shelf, and shows the sources shaping every answer. Comparing trackers? Here's how Dizem differs from Ranketta — and the five questions to ask any of us.