Question 1

How do I get my business mentioned in ChatGPT?

Accepted Answer

You get mentioned in ChatGPT by becoming a well-defined entity that credible third-party sources describe consistently, and by publishing pages that answer the exact questions users ask. ChatGPT names brands it can identify confidently and support with retrievable evidence, so the work is entity clarity, corroboration across independent sources, and crawlable, structured answer content.

Question 2

What is generative engine optimization (GEO)?

Accepted Answer

Generative Engine Optimization (GEO) is the practice of optimizing your content, entity data, and citation footprint so generative AI engines reference and recommend your brand inside their answers. Where SEO competes for a ranked link, GEO competes for inclusion in the paragraph the model writes back to the user.

Question 3

Is GEO different from AEO and LLM optimization?

Accepted Answer

They overlap heavily and are often used interchangeably. AEO targets direct-answer surfaces such as featured snippets and voice, GEO targets synthesized answers from generative engines, and LLM optimization (LLMO) emphasizes how a model represents your brand internally. In practice the same program serves all three.

Question 4

How long does it take to show up in AI search results?

Accepted Answer

Retrieval-based surfaces such as ChatGPT Search, Perplexity, and Google AI Overviews can reflect changes within days to a few weeks once pages are recrawled. Changes to what a base model recalls without retrieval move far more slowly, because they depend on third-party corroboration accumulating over months.

Question 5

How do you measure AI visibility?

Accepted Answer

You measure AI visibility by running a fixed set of buyer-intent prompts against each engine on a schedule and recording whether your brand is mentioned, cited with a link, and how it is described. The core metrics are mention rate, citation rate, share of voice against named competitors, and sentiment or accuracy of the description.

Question 6

Does schema markup help with AI search?

Accepted Answer

Yes — structured data helps AI systems resolve what your page is about and which entity it belongs to, which makes your content easier to retrieve and quote accurately. It is not a ranking switch on its own; it works by removing ambiguity that would otherwise cause a model to skip or misdescribe you.

Question 7

What is llms.txt and do I need one?

Accepted Answer

llms.txt is a plain-text file at the root of your site that summarizes what your organization does and lists your most important URLs in an AI-readable format. It is a proposed convention rather than a required standard, it is inexpensive to publish, and it helps AI systems and agents orient quickly — but it does not replace crawlable pages or structured data.

Question 8

Should I block AI crawlers in robots.txt?

Accepted Answer

If you want to be recommended by AI assistants, do not block the crawlers that power their search and citation features. Blocking GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, or Google-Extended removes your pages from the retrieval pool those products draw on, which removes your chance of being cited.

Question 9

Is AI search traffic worth it if people do not click?

Accepted Answer

Yes, because the mention itself does the selling. In AI-assisted research the model shortlists a handful of vendors, and buyers arrive later by searching your brand name directly. The measurable effects usually show up as branded search growth and higher-intent direct visits rather than as a large referral channel.

Question 10

What does Atomik Digital do?

Accepted Answer

Atomik Digital is an AI visibility agency. We audit how ChatGPT, Gemini, Claude, and Perplexity currently describe your brand, then engineer the entity data, LLM-native schema, answer content, and citation footprint that make you the brand those systems recommend — with ongoing prompt tracking so the results are measurable.

Question 11

How much does AI visibility optimization cost?

Accepted Answer

Atomik Digital plans run from $249 per month for a foundational Starter program up to $9,999 per month for an enterprise, multi-brand engagement. Pricing scales with the number of tracked prompts, engines and languages covered, and the depth of schema, entity, and citation work included.

Question 12

Do I still need traditional SEO if I invest in AI visibility?

Accepted Answer

Yes. AI answer engines retrieve from the indexed web, so the crawlability, site health, content quality, and authority signals that drive SEO are prerequisites for GEO rather than alternatives to it. AI visibility work is a layer on top of solid SEO, not a replacement for it.

Answers to the questions buyers ask AI about AI search

AI search basics