> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ansvisor.com/llms.txt
> Use this file to discover all available pages before exploring further.

# What is AEO?

> Answer Engine Optimization — the discipline of being cited by AI search engines.

## SEO is for the 10 blue links. AEO is for the answer.

For 25 years, organic discovery has meant ranking high on a Google results page. The strategy is well-known: keywords, backlinks, page speed, schema markup. The user clicks a result, lands on your site, you measure the visit.

That funnel is shrinking. Tools like ChatGPT, Gemini, Perplexity, Claude, and Copilot give users a **direct answer** with a small handful of citations — and increasingly the user never clicks at all. ChatGPT alone serves over 200 million queries a day. Each one of those queries is a chance for an AI assistant to recommend your brand or recommend a competitor.

**Answer Engine Optimization (AEO)** is the practice of making sure your brand is the one the AI cites.

## How AEO differs from SEO

|                          | SEO                        | AEO                                                       |
| ------------------------ | -------------------------- | --------------------------------------------------------- |
| **Target surface**       | Google SERP                | AI assistant answers                                      |
| **Unit of optimization** | Page rank                  | Brand mention frequency                                   |
| **Signal source**        | Crawled HTML, backlinks    | LLM training data + retrieval                             |
| **Measurement**          | Position, impressions, CTR | Mention rate, citation share, answer presence             |
| **Time to impact**       | Weeks to months            | Daily/weekly (LLMs re-index quickly)                      |
| **Killer asset**         | Long-form content + links  | Structured, citation-friendly content + topical authority |

SEO and AEO are complementary, not competitive — both feed off authoritative content. But the *measurement system* is fundamentally different. You can't open Google Search Console and ask "how often did ChatGPT cite us last week?" That's the gap Ansvisor fills.

## What AEO looks like in practice

Three things move the needle in AI engine answers:

<Steps>
  <Step title="Topical authority signals">
    AI engines surface brands that have **broad, deep content** on a topic. A single great post is rarely enough; consistent coverage of the topical cluster is.
  </Step>

  <Step title="Citation-friendly content structure">
    Bullet lists, comparison tables, structured FAQs, schema markup, named-entity-rich text. Content that's easy for an LLM to extract verbatim is content that gets cited.
  </Step>

  <Step title="Third-party validation">
    Press, reviews, listicles, Reddit/Quora threads. AI engines weight third-party sources heavily because they reduce hallucination risk. Earned media is now an SEO+AEO double-win.
  </Step>
</Steps>

## What Ansvisor measures

Every Ansvisor brand starts with a list of **prompts** — natural-language questions your potential customers ask AI engines (e.g. *"best CRM for small business"*, *"alternatives to Salesforce"*). Multiple times per week, Ansvisor:

1. Asks each prompt to every configured AI engine
2. Parses the response for brand mentions, citation URLs, and competitor mentions
3. Computes a **visibility score** per brand, per prompt, per platform
4. Surfaces gaps: prompts where competitors are cited but you aren't
5. Generates content briefs targeting those gaps

The output is a continuously-updated AEO instrumentation panel. Same way Google Analytics changed how marketers measure SEO, Ansvisor is built to be the AEO equivalent.

<Card title="Continue: How visibility is scored" icon="arrow-right" href="/concepts/visibility-scoring">
  Learn the math behind your visibility score and what changes it.
</Card>