# What is generative engine optimization (GEO)?

Generative engine optimization — GEO — is the practice of making a brand appear, and be quoted correctly, inside answers produced by AI systems such as ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews.

It is not a rewrite of SEO. It is a different question. SEO asks: *can a search engine find and rank this page?* GEO asks: *when a model composes an answer from many sources, does it choose this brand — and does it describe it accurately?*

## Why GEO became necessary

Buyers increasingly start research inside an AI assistant instead of a search box. They ask "who makes reliable food-grade conveyor belts for export" and read the synthesized answer, not ten blue links. That answer names a handful of brands and cites a handful of pages. If your brand is absent, you are absent from the shortlist before anyone visits your site.

The model is not ranking you. It is **summarizing a consensus** across the pages it can read. GEO works by shaping that consensus.

## How an AI model decides who to recommend

Across engines the pattern is consistent:

1. **It retrieves candidate passages.** The model searches an index — or calls a search API — for pages that plausibly answer the question.
2. **It judges authority and specificity.** Generic marketing copy loses to pages that state concrete facts: product specifications, certifications, lead times, service regions.
3. **It checks consistency.** If your homepage, about page and product pages tell different stories, the model has no stable claim to repeat.
4. **It picks a shortlist.** Typically two to six brands per answer. This shortlist is the real competitive battleground.

Two consequences follow. First, **structure beats volume**: a clear, factual page outranks a long, vague one. Second, **consistency beats cleverness**: the model repeats what it can verify.

## What actually moves your brand into the answer

### 1. Be machine-readable

Give crawlers and models a clean, factual representation of who you are. A `llms.txt` file at your domain root is a low-effort way to state your name, category, products, service regions and key facts in plain text. See [how to create llms.txt](/guides/how-to-create-llms-txt).

### 2. Allow AI crawlers explicitly

Many sites block AI crawlers by accident through blanket firewall rules or a defensive robots.txt. If GPTBot, ClaudeBot or PerplexityBot cannot read you, you cannot be cited. Check your robots.txt and CDN rules.

### 3. State facts, not adjectives

AI models cannot verify "world-class quality". They can verify "ISO 9001 certified", "ships to 40 countries", "MOQ 500 units". Facts are quotable; adjectives are discarded.

### 4. Answer the buyer question directly

Each important page should answer one real buyer question in the first two paragraphs, in the vocabulary buyers use. Models extract answer-shaped passages.

### 5. Keep your entity consistent

Same brand name, same description, same category, across your site and your directory profiles. Entity confusion is a silent visibility killer.

### 6. Measure mentions and citations separately

Being **mentioned** means the answer names you. Being **cited** means the answer links to your page as a source. Citations are harder and drive better traffic. Track both; they improve through different fixes.

## GEO versus SEO: what changes, what stays

| Dimension | SEO | GEO |
|---|---|---|
| Unit of success | Ranking position | Inclusion in the answer + correct description |
| Core signal | Links, relevance, technical health | Verifiable facts, consistency, source authority |
| Content shape | Long-form, keyword-targeted | Answer-shaped, specific, quotable |
| Measurement | Rankings, impressions, clicks | Mention rate, citation rate, share of voice |
| Main risk | Algorithm update | Being misdescribed, or omitted entirely |

The technical health work overlaps heavily. A site that is slow, broken or blocked will fail at both.

## A practical starting sequence

1. Run a baseline diagnosis to see which engines mention you today.
2. Fix crawler access and publish a factual `llms.txt`.
3. Rewrite your three highest-intent pages into answer-shaped sections.
4. Add structured data so engines can parse your organization and products.
5. Re-measure in two weeks and compare mention rate, not vibes.

GEO is not a one-time cleanup. Models re-summarize continuously, so visibility is a trend line, not a snapshot.

## Related reading

- [How to create an llms.txt file](/guides/how-to-create-llms-txt)
- [How to get recommended by ChatGPT](/guides/how-to-get-recommended-by-chatgpt)
- [What is AI share of voice?](/answers/what-is-ai-share-of-voice)