A buyer in Bangkok asks ChatGPT for the best payroll software for a 50-person company. She gets three names, a short reason for each, and never opens Google. If your brand isn’t one of those three, you didn’t lose a click. You lost the shortlist.

That is the problem answer engine optimization (AEO) solves. It is the work of making your brand the answer AI assistants give, not just a blue link they might skip. Going into 2027, AEO is moving from an experiment to a line item. Here are the 10 questions we ask every client before we touch their content.

1. What is answer engine optimization, in plain terms?

AEO is optimizing your content and brand footprint so large language models cite, summarize or recommend you when people ask questions. Traditional SEO wins a ranking. AEO wins a mention inside the answer itself. You’ll also hear it called generative engine optimization (GEO), LLM optimization or AI search optimization. The labels differ; the goal is the same.

2. AEO vs SEO: do we have to choose?

No. Most AI answers still pull from pages that rank well, so SEO remains the foundation. The difference is what gets rewarded. SEO rewards pages that match a keyword. AEO rewards content that answers a specific question clearly, is easy for a model to extract, and is backed by sources the model already trusts. Think of SEO as getting into the library and AEO as getting quoted.

3. Which questions are your buyers actually asking AI?

Keyword lists don’t capture this. People talk to assistants in full sentences: “Which agency in Thailand is good for Meta ads for a fintech?” Start by listing the 30 to 50 questions your sales team hears most, then run them through ChatGPT, Gemini, Perplexity and Google AI Overviews. Note who gets named. That list becomes your AEO roadmap.

4. Does AI currently mention your brand, and how?

This is your AI visibility baseline. For each priority question, record whether you appear, where you appear in the answer, how you’re described and which competitors show up instead. Repeat monthly. Answers shift often, so a single snapshot tells you very little. A trend line tells you whether your work is moving anything.

5. Where is the AI getting its information about you?

Models build their picture of your brand from what’s been written about you, not only from your website. Review sites, industry directories, Reddit threads, news coverage, comparison articles and partner pages all feed in. If your own site says “enterprise-grade” but every third-party source calls you a budget option, expect the AI to repeat the budget version. Check which domains get cited for your category and earn a presence on them.

6. Is your content structured so a model can lift the answer?

LLMs favor content they can extract cleanly. That means a direct answer in the first two sentences under each heading, question-led H2s, short definitions, comparison tables, and specific numbers rather than vague claims. A 3,000-word page that buries the answer in paragraph nine is hard to quote. A page that answers the question, then explains it, is easy to quote.

7. Is your technical setup letting AI crawlers in?

Some sites block AI crawlers by accident through robots.txt rules or firewall settings. Others render key content in JavaScript that crawlers struggle to read. Check that GPTBot, Google-Extended, PerplexityBot and similar agents can reach your important pages. Add schema markup for FAQs, products, organizations and reviews so machines understand what each page is about. None of this guarantees a citation, but blocking it guarantees you won’t get one.

8. Do you have content AI can’t find anywhere else?

Models summarize consensus. If your blog says what 200 other blogs say, there’s no reason to cite you specifically. Original data, proprietary benchmarks, real client results and clear expert opinions give an answer engine something unique to point to. At AgentDee, our most-cited pages are the ones with numbers we produced ourselves, not the ones that restate industry basics.

9. How do you measure AEO when there’s no click?

This is the question CFOs ask first. Rank tracking doesn’t cover it, and AI referrals in analytics only show part of the picture because many people read the answer and never click through. Track three layers:

• Share of voice: how often you’re named across your priority questions versus competitors.

• Referral traffic: visits from chatgpt.com, perplexity.ai, gemini.google.com and similar sources.

• Downstream signals: branded search growth and “how did you hear about us” answers that mention AI tools.

Together these give you a defensible read on whether AI visibility is turning into pipeline.

10. Who owns AEO inside your company?

AEO touches SEO, content, PR, product marketing and web development. When it belongs to everyone, it gets done by no one. Assign one owner, give them the question list from step 3 and the baseline from step 4, and review progress monthly. Brands that treat AEO as a side task of the SEO team usually stall in the audit phase.

How to rank in ChatGPT: where to start this quarter

If you want a practical starting point before 2027 planning locks in:

1. Pick your 30 highest-value buyer questions.

2. Audit your AI visibility across four assistants and record competitors.

3. Fix crawler access and add schema to your top 20 pages.

4. Rewrite those pages with answer-first structure.

5. Publish one piece of original data per quarter.

6. Earn mentions on the third-party sites AI already cites for your category.

None of this replaces SEO. It builds on it, and the brands doing both are the ones AI assistants keep recommending.

Get your AI visibility baseline

AgentDee runs AEO and GEO audits for brands across Thailand and Southeast Asia, tracking how ChatGPT, Gemini, Perplexity and Google AI Overviews describe you against competitors. If you want to know where you stand before 2027, talk to us at agentdee.ai.