
Image for illustrative purposes only: Magnificent
ChatGPT already answers more than 1 billion questions per day , Perplexity grew from zero to more than 10 million active users in less than two years , and Google AI Overview appears in a growing share of searches (even before the first organic result). For those who work with digital presence, this movement changes a fundamental rule: it's not enough to rank, you need to be mentioned.
In this article:
GEO AND AEO IN 5 MAIN POINTS
- Being cited is different from ranking.A page can appear in the first position on Google and never be mentioned by an internet user, and the reverse is also true.
- The structure of the content determines the extraction.AIs prefer texts with Clear hierarchy, direct answers, and short paragraphs., not texts optimized solely for keywords;
- Own data carries more weight.When you cite third-party research, the AI references the original source, not you. Proprietary data creates unique quotes for your brand;
- Freshness matters for business quotes.according to research by AirOps, 83% of AI citations in queries The review scores came from pages that were updated in the last 12 months;
- A presence outside your website also counts.According to the same report, 85% of brand mentions made by AI originate from external domains. AirOps.
What has changed in the logic of visibility?
For years, the central question of content marketing was: " How do I appear at the top of Google? " This question remains valid, but it is no longer sufficient.
Answer engines like ChatGPT , Perplexity , and Google's AI Overview don't display a list of links; they construct an answer and select the sources that will support it. This process has its own criteria, different from traditional ranking.
Optimization for these systems has two names in the market: AEO ( Answer Engine Optimization ) and GEO ( Generative Engine Optimization ) . AEO focuses on structuring content to be extracted by answer engines, while GEO is broader, as it deals with building citable material for generative systems. In practice, the two disciplines overlap: both require well-structured content, verifiable authority, and continuous relevance.
The tipping point is this: a significant portion of your audience already forms opinions and evaluates suppliers within AI platforms (even before reaching your website). According to a survey by Elon University , 52% of American adults regularly use LLMs such as ChatGPT, Gemini, Claude, or Copilot . This means that the decision can happen before the click.
15 WAYS TO APPEAR IN AI RESPONSES
According to a survey by AirOps , these are the main citation drivers on platforms such as ChatGPT, Perplexity, and Google (with applicable context for each):
1. Keep your content up-to-date : pages updated within the last 3 months are 3 times more likely to be cited. Content without a revision date loses relevance in AI algorithms over time.
2. Add structured schema: schema markup increases the likelihood of citation by 13% . The most useful types for AEO are FAQPage, HowTo, Article, Organization, and Author.
3. Use sequential headings : the H2 > H3 > H4 hierarchy, applied consistently, doubles the chances of citation. AIs follow this structure to extract blocks of responses.
4. Prioritize scannability : short paragraphs, well-defined sections, and summary blocks make content 49% more likely to appear in AI responses.
5. Gain mentions from third parties : 85% of brand mentions made by AI originate from external domains . Press releases, reviews, industry lists, and partner articles reinforce this signal.
6. Be present on Reddit : Reddit appears in 1 out of every 5 AI responses. Participating in relevant threads with genuine contributions is one of the most direct ways to gain visibility in systems like Perplexity.
7. Occupy UGC spaces : User-generated content platforms (Reddit, YouTube, LinkedIn) influence 48% of AI search results. Community is a sign of credibility for the models.
8. Publish proprietary data : LLMs cite unique statistics back to the original source. Internal benchmarks, customer research, and product data create citations that no other brand can claim.
9. Create explainer videos : YouTube content contributes 75% of AI citations in non-branded queries . Educational and demonstration videos outperform promotional content.
10. Encourage external reviews : Platforms like G2 and Trustpilot fuel the validation loops of AI models. Reviews rich in real-world usage context carry more weight than generic ratings.
11. Strengthen internal linking : Internal links with descriptive anchors help AIs map the thematic depth of your site. This reinforces topic authority, not just page authority.
12. Use clearly framed titles : titles that begin with "How," "Why," or "The X Best" make it easier for AIs to interpret relevance, especially in queries like " People also ask ."
13. Seek mentions and citations simultaneously : brands that appear both mentioned and cited have a 40% higher reuse rate in LLM results than pages cited in isolation.
14. Diversify by platform : Perplexity cites UGC in 91% of responses . Gemini, in only 7%. Each engine has its own font standards, and a robust visibility strategy considers this difference.
15. Maintain brand consistency : LLMs strengthen entities that present a consistent tone, data, and argumentation across channels. Inconsistent messaging weakens the trust signal.
The structure that AIs prefer
There is no single format, but there is a recurring pattern on frequently cited pages. The answer comes first, without a lengthy introduction. The argument follows in short paragraphs, and the hierarchy of headings reflects how people actually ask questions.
Pages with a sequential heading structure are 2,8 times more likely to be cited than pages without a clear hierarchy. This number increases when combined with schema markup and original data.
The logic is straightforward: AIs need to extract unambiguous passages. The easier it is for the model to identify where the answer is, the higher the probability of citation.
Metrics that make sense in this context.
Measuring AEO requires going beyond traditional SEO metrics; here are some references:
- Citation frequency by platform: How many times does your brand appear as a source in ChatGPT, Perplexity, and Google AI Overview for queries in your segment?
- Content freshness rate: The proportion of your strategic pages that have been updated in the last 6 months;
- Schema coverage: Percentage of key pages with implemented and validated markup;
- Presence in external domains: volume of qualified mentions outside of your own website
These metrics don't replace organic traffic or conversion rates; they complement them. AI visibility influences the funnel before the visit, not after.
To further develop your content strategy and digital visibility, explore other articles on the e-Plus blog . We regularly publish articles on SEO, GEO, search behavior, and content marketing applied to e-commerce and digital businesses.
FAQ – FREQUENTLY ASKED QUESTIONS
What is AEO and how does it differ from traditional SEO?
Answer Engine Optimization (AEO ) is the practice of structuring content so that answer engines like ChatGPT, Perplexity, and Google AI Overview can extract and quote excerpts directly. Unlike SEO, the goal is not just to rank, but to be the source that AI mentions when composing an answer, even if the user never clicks.
Why do proprietary data increase the chances of being cited by AI?
When content cites third-party statistics, AI references the original source, not the person who mentioned it. Proprietary data (internal benchmarks, customer research, product metrics) creates citations unique to your brand because only you can be the source.
How often should I update content to maintain visibility in AI?
According to research by AirOps, pages that are not updated quarterly are three times more likely to lose AI citations. For content related to purchasing decisions, the ideal is to review it every 3 to 6 months, adjusting data, examples, and references.
Does Reddit really influence responses on ChatGPT and Perplexity?
Yes. Reddit appears in approximately 1 out of every 5 AI-generated responses, especially on Perplexity, which cites UGC platforms in 91% of responses. Authentic participation in relevant communities is one of the most underrated levers of visibility in response engines.