GEO vs SEO, what's the difference?

SEO, search engine optimization, works to rank pages in a list of search results. GEO, generative engine optimization, works to get a brand cited as a source inside an answer that an AI writes. GEO depends on authority, consistency, and entity clarity across the web. The pages that rank best in search are often different from the pages AI engines cite.

GEO vs AEO, what's the difference?

AEO, answer engine optimization, structures content as direct answers that search features and AI tools can lift, using clear definitions, FAQ sections, and structured data. GEO, generative engine optimization, aims to be cited as a source when an AI composes a longer answer, which depends on authority, consistent terminology, and a clearly defined brand entity. Most teams need both.

How do you measure AI visibility?

Run your priority buyer questions through AI engines that use live web search on a weekly schedule, and record for each question whether your pages are cited, a competitor's pages are cited, or no relevant source appears. Skylark 118 runs a weekly citation board this way and counts a win only when an owned URL is cited.

How do I improve my brand's AI visibility?

Publish answer pages for the exact questions buyers ask, with one clear definition per page in the first sentence. Add FAQ structured data, name your brand, people, and offers the same way everywhere, and confirm your site allows AI search crawlers. Then measure citations weekly and fill the gaps.

Insights

Executive AI Strategy · 2026-10-29 · 3 min read

What Is AI Visibility? GEO, AEO and SEO Explained

AI visibility is how often and how accurately a brand is found, described, and cited in AI-generated answers. Here is how SEO, AEO, and GEO each contribute, how to measure AI visibility, and where to start.

AI visibility is how often and how accurately a brand is found, described, and cited in AI-generated answers from tools such as ChatGPT, Claude, Perplexity, and Gemini. It is the outcome marketing teams track when they invest in SEO, AEO, and GEO: citations, brand mentions, and share of answers for the questions their buyers ask.

Why it matters

More B2B buyers now start their research by asking an AI. The answer names a few sources and leaves out the rest. A company missing from that answer is missing from the shortlist, however well its pages rank in search.

Accuracy matters as much as presence. An AI that mentions your company with an outdated description or the wrong category can do more harm than one that leaves you out.

SEO, AEO, and GEO explained

Three disciplines feed AI visibility. They overlap, and each does a different job.

Discipline	Goal	What it depends on
SEO (search engine optimization)	Rank in a list of search results	Relevance, links, technical health
AEO (answer engine optimization)	Supply structured, direct answers that AI can lift	Clear definitions, FAQ sections, structured data
GEO (generative engine optimization)	Be cited as a source in generative answers	Authority, consistency, entity clarity

SEO still matters, because many AI tools search the web before they answer. A page that cannot be found will not be cited.

AEO makes a page easy to quote. A question as the heading, a one-sentence answer underneath, and FAQ markup let a model lift the answer cleanly.

GEO makes a brand credible enough to cite. Models favor sources that other sources agree with, that use the same terms every time, and that make it obvious who the brand is and what it does.

One finding shapes how to measure all three: the pages that perform best in search are often different from the pages AI engines cite. Search rankings and AI citations need separate tracking.

How to measure AI visibility

List the priority questions your buyers ask: your category, your problems, your comparisons, and your company name.
Run each question through AI engines that use live web search, every week.
Record one of three outcomes for each question: your page is cited, a competitor's page is cited, or no relevant source appears.
Track the results week over week.

Skylark 118 runs a weekly citation board this way on its own sites, and counts a win only when an owned URL is cited. A brand mention without a link is a weaker signal. This page, along with the pages on signal harnessing, trust layers for AI agents, and agent leverage maps, was written to answer questions the board showed other sites answering.

How to start

Write answer pages for the exact questions buyers ask. Use the question as the title.
Give each page one clear definition. Put it in the first sentence, written so it makes sense quoted alone.
Add FAQ structured data. Each answer should stand on its own.
Name things consistently. Use the same name for your company, your people, and your offers on your site, LinkedIn, and every profile you control.
Check crawler access. Confirm your robots.txt allows AI search crawlers such as OAI-SearchBot, Claude-SearchBot, and PerplexityBot.

The next step: being chosen by agents

Being cited answers the first question a buyer asks. The next stage is AI agents that act on a buyer's behalf: comparing vendors, filling in forms, booking calls, or completing purchases. That shifts the question to whether an agent can find, evaluate, and act on your offer.

This is agent experience, or AX readiness. It covers crawler permissions, structured data that states your offer plainly, pages built with semantic HTML and labeled forms, and a clear next action such as a booking link. Some practitioners call this agent-facing layer assistive agent optimization.

AI visibility is a named pillar of the Skylark 118 Executive AI Ramp. For the wider operating model it belongs to, see Adaptive Marketing Ops, and for AI-native buying, see AI-Native Commerce Is Here.