AEO stands for Answer Engine Optimization. In practice, it means: write your pages so Google's answer boxes, voice assistants, and AI Overviews can lift the answer directly, no ambiguity, no clicking through.
The flashcard analogy
The SEO librarian gives you ten blue links. The GEO research assistant blends multiple sources into one synthesized answer. AEO is something different again: it's the part of search that makes flashcards. Question on one side, your answer on the back. Featured snippets, «People also ask», and Google's AI Overviews are all flashcards Google builds from your pages.
Your goal isn't to climb a ranking or be one of several citations. It's to be the one card Google flips over when someone asks the question.
How it actually works under the hood
Question matching. Google looks for headings on your page shaped like the user's query. An H2 that reads «What is AEO?» matches «what is aeo» better than «About AEO» or «AEO explained» does. The closer the heading is to a natural question, the better the match.
Answer extraction. Once a heading matches, Google extracts roughly the first 40 to 60 words underneath it. That window is the answer Google shows in the snippet box, in voice search results, and often in AI Overviews. Bury the answer in the third paragraph and Google quietly skips your page.
Structured data hints. JSON-LD schemas like FAQPage, QAPage, and HowTo mark sections as «this is a question-and-answer pair» or «this is step three of a how-to». Google reads these markers and trusts the structure. For procedural answers (recipes, tutorials, repairs), HowTo schema is the difference between a paragraph snippet and a step-by-step rich result.
Position zero, voice, AI Overviews. All three surfaces draw from the same content. About 12 to 18 percent of Google queries still show a classic featured snippet. AI Overviews appear on roughly 47 percent of informational queries. Voice assistants on phones and speakers pull from the same extraction pool. Optimize once, win three times.
One 2026 note. Google announced it's removing the FAQ rich result display in June 2026. FAQ schema still matters because AI Overviews and «People also ask» continue to read it, but expect fewer visible expandable FAQs in regular search results.
How Lovable handles this for you
The same SEO & AI search tab covers the AEO foundations. The things that matter for AEO when you click Scan:
Server-side rendered HTML, so Google's extractor sees real text and not a JavaScript loading spinner. This is the single biggest AEO requirement. Without SSR, none of your snippet attempts work. Lovable's TanStack Start setup (new apps since May 13, 2026) ships SSR by default; older Vite-React Lovable apps get on-request pre-rendering for verified crawlers.
JSON-LD Article structured data, canonical links, hreflang for multi-language sites. Per-page metadata so titles and descriptions match queries. A sitemap and robots.txt that don't block anything Google needs. Lighthouse performance checks because slow pages rarely make it into snippets.
What Lovable does not do for AEO: it doesn't auto-generate FAQPage or HowTo schema from your content. Those you add yourself in the source, or via a Sanity field if you wire one. Don't assume the SEO & AI search tab is doing it.
What you still need to do yourself
The technical foundation is the easy part. The AEO-specific work is writing:
Use question-shaped headings. Your H2s should be the exact question users type into Google. «What is AEO» works. «About AEO» doesn't. Look in Google's «People also ask» box for the actual phrasing.
Put the answer in the first 40 to 60 words after the heading. Lead with the definition, not the setup. If you must include a story, put it later in the section. The extraction window is the start of the section, not the middle.
Add FAQPage schema by hand for genuine FAQs. Use JSON-LD, keep it to three to ten high-quality question-answer pairs per page, and make sure the visible questions on the page match the ones in the schema exactly. Google penalizes mismatches.
Add HowTo schema for step-by-step pages. Each step gets its own object with a name and a description. This is the path to procedural rich results that take up half the screen.
Match voice-search phrasing. Voice queries are conversational: «how do I», «what's the best way to», «can I». Your headings should fit the same shape. The same content can win text snippets and voice answers if the heading reads naturally aloud.
Use lists and tables for comparison or enumeration. Google extracts bulleted lists into list snippets and tables into table snippets directly. Convert a paragraph that compares two things into a real HTML table and you have a much better shot at the comparison snippet.
A worked example: add FAQ schema to a Lovable page
The fastest way to learn this is to ship one. Here's the end-to-end loop for adding FAQPage schema to a page in Lovable.
Step 1. Write the prompt.
On the /pricing page, find the existing FAQ section. Add FAQPage JSON-LD structured data that mirrors the visible questions and answers exactly, word-for-word. Use three to seven pairs from what's already on the page, do not invent new ones. Place the schema in the page <head> as a single <script type="application/ld+json"> tag. After the change is applied, show me the new <head> snippet so I can verify.
The two non-obvious bits: «word-for-word» (Google penalizes mismatches between visible and structured text), and «show me the new head snippet» (turns Lovable into a teacher, not just an executor).
Step 2. Inspect what Lovable actually changed. Two ways:
In the Lovable code panel. Open the file Lovable touched (usually the page's component or a <Head> helper). Look for the <script type="application/ld+json"> block. The content should start with {"@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [...]} and the mainEntity array should have an entry per question.
In the running preview. Open the preview URL in a new tab. Right-click then View Page Source (or DevTools then Elements). Search the source for application/ld+json. You should see one block per schema you added, FAQPage among them. If you see nothing, the schema is in a client-side component that hasn't rendered yet, which means it's invisible to Google. Ask Lovable to move it to the server-rendered <head>.
Step 3. Validate with Google's tool. Paste the live URL into Google's Rich Results Test (search.google.com/test/rich-results). The tool reports «FAQ is valid» if the schema parses, and lists any errors if the visible and structured text don't match. Fix mismatches by editing the visible content (not the schema). Keep the schema as the source of truth for what's «true» on the page.
What to remember
AEO is being the answer. SEO is ranking. GEO is being cited.
Lovable's SEO & AI search review handles the foundation that AEO depends on: SSR HTML, Article schema, sitemap, performance. The AEO-specific work is in your writing: question-shaped headings, the answer in the first 40 to 60 words, and FAQPage or HowTo schema added by hand for the pages that warrant it.
Optimize once: featured snippets, «People also ask», AI Overviews, and voice search all draw from the same content. Get the extraction zone right and you cover all of them.