Remember those good times when you bragged about being the first on Google? Nice. In the meantime, the world moved on. People don’t search anymore, they ask questions. And instead of looking at ten blue links, it prefers to let ChatGPT, Google AI, or Perplexity answer.
Because yes, it’s easier to talk to a robot than to browse through banners, pop-ups, and tons of text that start with “We’re a company dedicated to excellence…”.
The era of Answer Engine Optimization (AEO) has begun. Whoever screams louder on the internet doesn’t win anymore. The winner is the one who manages to say something clear, short and true.
What is Answer Engine Optimization
AEO means optimizing content for AIs that provide answers, not engines that are just searching. In short: you don’t want to be found anymore but you want to be used as a source, which is ironic, because that’s exactly what AI does to everyone: it quotes us without asking.
In the industry, AEO already has its more technical cousins: GEO & LLMO. The difference? AEO is about the user: the person asks a question and wants an answer. GEO and LLMO are about the engine: how AI “eats” your information.
How does it work? Simple and depressing:
ChatGPT, Gemini, Bing Copilot, Google AI Overviews, all read, interpret, and respond. And guess what: I choose content that is written clearly, verifiable and human.
- AI scans authoritative sources (websites, forums, publications, and so on).
- Check that your text is legible, clear and contains verifiable information.
- Extract phrases that completely answer a question.
- Cite (directly or indirectly) the source.
You used to optimize for crawling. Now you optimize for a robot that “rewrites” you. Nice, right?
How did we get here?
I remember perfectly a discussion in the agency, a few months before Google launched AI Overview in Romania. We looked at each other and said, “How dumb are we going to get to write content for the AI to understand us?”
And guess what. We’ve arrived. But “dumb” is the new “clear”. You know that old “if your website isn’t clear to a grandmother and a child, it’s not ok”? Well, the same test now applies to ChatGPT or other similar platforms. If it can’t instantly understand what you’re saying, if you get lost in adjectives, jargon, and corporate metaphors, the AI will say “next.”
In short: if you write to look smart, no one will quote you. So yes, sometimes “dumb” is the new smart.
What ChatGPT & Other AI Platforms Actually Cite
If your content starts with “In the context of accelerated digitization…”, know that AI has already fallen asleep at “context”. When he produces answers with sources (GPT-4 + Search, Gemini, Perplexity models), he chooses what to mention. And it does so according to a few rules:
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Semantic clarity
The AI loves sentences that can be cut out as a complete answer. Write briefly, in question-answer format and emphasize (literally) important terms.
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Clean structure
If your page is a compact block of text, it will skip it instantly.
Clear headings (H2, H3), lists, white space. Everything that helps a human to read, also helps the AI to understand you.
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Authority and sources
ChatGPT checks if you’re saying something that can be confirmed elsewhere. Links to studies, universities, institutions, all matter. If the source is just “your opinion”, the chances of being quoted are almost zero.
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Conversational relevance
Your tone matters. A lot. The AI prefers natural formulations, as in a real conversation. “How do I choose an ERP system?” is easier to quote than “The advantages of integrated systems in today’s economic environment”.
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Recent data and own angle
AI detects the age of information. The texts written in 2020 about the “future of AI” no longer stand a chance. Update, add industry examples, show that you are currently living. Set quarterly revisions, mark ‘Last updated’, keep change history visible.
How do you actually make it appear in AI responses
Nothing magical, nothing to sell in courses for 99€. (If it was, we would do it and go to Bali.)
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Answer real questions
Extract 50 questions for real (from sales, support, Reddit, People Also Ask, and more). Prioritize them by volume and trade value.
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Dedicated “answer” pages
For each major question, create a short Q&A page (300–700 words), signed by an expert, with 1–2 original charts, FAQs, “Last updated” and links to real sources. Golden rule: the first paragraph must be able to be cut out as a complete answer.
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Distribution in the LLM ecosystem
Cross-post on LinkedIn or Medium, summary on Reddit and Quora (where allowed), mention on Wikipedia/Stack only if it’s legitimate. AEO is not about writing just for you. It’s about being where the AI does its homework.
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Technical control
Check robots.txt file: Allows access to GPTBot, PerplexityBot, and the other bots. Keep the canonicals clean, the sitemap with lastmod, the good page speed, and avoid noarchive (if you don’t have serious reasons). If you block everything, no one can summon you. Simple.
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Measurement & Iteration
Use Google Search Console (where AI Overview is available), write down mentions in the log (captures, conversational queries), track traffic and citation rate: how many answers in your tests include your brand. Test, tweak, repeat. Just like in performance marketing, only less boring.
Anti-patterns that take you out of the game
- 3000-word “guides” without a clear answer in the first 3 sentences.
- Anonymous authors or “Our Team” (AI does not cite teams).
- You block LLM bots in robots.txt of “IP care”. It’s ok to control, but if you block everything, it’s like putting a lock on the window.
- Updates once a year. In 2025, this is not a strategy. It’s archaeology.
Can you measure AEO?
Yes, but not on feeling. You can track AEO by:
- Google Search Console – see if you have “AI Overview Impressions” (if available in your account).
- Semrush/Ahrefs – have started to include “AI Snapshot visibility”.
- Ask ChatGPT directly and see if you’re cited. Standard ChatGPT doesn’t always cite; only certain modes (with browsing/specific questions).
Bonus tip: if you want to know if ChatGPT is already using you as a source, search with the prompt:
“When answering questions about [topic], which Romanian websites do you reference most often?”
How we do it at Klain
We also develop websites, and the content that gives them meaning. Raw information comes from the client: PDFs, data sheets, texts “from the old site”. But until they get online, they go through our magnifying glass. In fact, this is Answer Engine Optimization in practice: taking a text that only a specialist understands and turning it into an answer that the AI wants to use.
We’ve been doing this for some time. We make sure that every paragraph, guide, or article passes the AI test: clear, relevant, readable, and human. And do you know what the coolest surprise was? The other day, a client for whom we are now developing a website told me: “I read about this optimization for AI. We want it too. How can we do it?”
Ooo, yes. That’s when I knew the conversation had finally changed: from “I want it to sound good” to “I want it to be found, quoted, and used.” Because AEO is proof that brands are finally starting to understand something simple: the beauty of the text is no longer in big words, but in how clearly you manage to tell a truth.
The ultimate goal of AEO is not to find yourself first on the list. It’s about becoming a source brand. It’s the present that most people still ignore. At Klain, we also optimize for conversations. So that the next time someone asks something important, the AI and the whole world will find you the right answer.
If ChatGPT still answers your questions, at least it should mention you. Let’s teach him together how to write your brand’s story correctly.
