AEO Guide: How to Get Cited by AI Search Engines

AEO (answer / AI engine optimization) is the practice of making pages easy for tools like ChatGPT, Perplexity, and Google AI Overviews to extract and cite. The core loop is simple: answer real questions in the first lines, mark them up so machines can parse them, get the pages crawled, then check whether those tools actually cite you. The "48 hours" framing some posts use is marketing — you can ship useful answer pages in a weekend, but citations often take longer.

This is the checklist I use when publishing SlideNarrator guides — write the answer first, structure the page so an LLM can quote it, then verify in Perplexity before calling it done.

1. Write the answers people actually ask

List the top 5–10 questions a customer would ask an AI about your space. Turn each into a page or a clear section. Use the question as the headline, and put the answer in the first one or two sentences — don't bury it under a story setup.

Keep each answer short enough that if an AI only reads two lines, it still got the useful part. Mine real questions from Perplexity, Google's "People Also Ask," support tickets, and sales calls — then answer them more clearly than whatever already ranks.

2. Add structure machines can parse

FAQ or HowTo schema (JSON-LD) helps search engines understand question/answer pairs. Validate with Google's Rich Results Test. Google's Structured Data Markup Helper can speed up the first pass if you're new to schema.

Separately, publish an llms.txt that points crawlers at your best pages. Some indexes (like llms-txt.site) collect these — it's optional, not magic, but it helps AI systems find the right URLs.

3. Push live and get it indexed

Ship the content, update your sitemap, and submit it in Google Search Console and Bing Webmaster Tools. Use IndexNow where you can (Bing supports it) so new URLs get noticed faster.

Check robots.txt isn't blocking the page. Prefer fast, public HTML that doesn't depend on a heavy JS shell for the main answer text — crawlers and LLM fetchers both struggle with that.

4. Format for AI readability

Break the page up with headings, bullets, and short paragraphs. Bold the answer near the top. Make each Q&A stand on its own so a model can lift one section without the rest of the article.

A quick sanity check: paste the article into a plain-text editor. If it still makes sense without styling, you're closer to how an LLM sees it. A short summary at the bottom that restates the solution also helps — some tools quote that when it's clearer than the opening.

5. Test and tweak

Ask your target question in Perplexity and see who gets cited. Run your brand through tools like Profound, Goodie, or HubSpot's AI Search Grader if you want a broader snapshot. If you're missing, tighten the answer, resubmit for indexing, and try again — it can take days or weeks, not one afternoon.

The useful mental model: you're an LLM — how would you find this answer? Write for that retrieval path, not only for a human scrolling a homepage.

What this looks like in practice

On SlideNarrator, that means guides like how to add narration to PowerPoint lead with the answer, then expand into methods, timings, and FAQs — not a long pitch first. Same pattern for onboarding and course workflows. AEO is less about a separate "AI SEO" page and more about making every useful article quotable on its own.

Frequently Asked Questions

What does AEO stand for?

Answer Engine Optimization or AI Engine Optimization — same idea: make content easy for AI search tools to extract and cite.

Is AEO different from SEO?

It overlaps heavily. Classic SEO still matters (crawlability, indexing, clear pages). AEO emphasizes direct answers, self-contained sections, and checking AI citations — not only blue-link rankings.

Can you really do AEO in 48 hours?

You can publish a handful of solid answer pages in a weekend. Getting cited consistently usually takes longer because crawlers and AI indexes update on their own schedules.

Do I need FAQ schema for every page?

No. Use FAQ or HowTo schema when the page is genuinely Q&A or step-by-step. Fake FAQ markup to stuff keywords is a bad idea and can backfire.