What is GEO? Generative Engine Optimization explained

The shift that broke search

For two decades, "search" meant Google. People typed a query, scanned blue links, clicked one. Then ChatGPT launched at the end of 2022 and ate part of that workflow whole. By mid-2025, roughly a third of "search-like" questions went to LLMs first — ChatGPT, Claude, Gemini, or Perplexity. The user got an answer, not a list of links. Sometimes a citation back to the source. Sometimes nothing at all.

For businesses, this is a problem most don't see yet. If a prospect asks ChatGPT "best B2B services agency in Singapore" and your domain isn't in the citation set, you don't exist as far as that conversation is concerned. Google rankings are still real — but they're now one of several visibility surfaces, and not the only one that decides whether the customer ever hears your name.

This is the gap that Generative Engine Optimization — GEO — exists to close.

What GEO actually is

GEO is the term coined by Pranjal Aggarwal and colleagues in their 2024 KDD paper. They define it cleanly: "we introduce Generative Engine Optimization (GEO), the first novel paradigm to aid content creators in improving their content visibility in generative engine responses" (Aggarwal et al., 2024, GEO: Generative Engine Optimization, arXiv:2311.09735).

The discipline sits next to SEO, not over it. Where SEO targets blue-link rankings, GEO targets the prose inside an LLM's answer. The two share some inputs — schema markup, backlinks, content depth — but diverge on the signals that matter at the margin:

	SEO weights	GEO weights
Primary signal	Backlinks + PageRank-class link graph	Citation-worthy sentence structure
Content depth	Keyword density + topical coverage	Extractable facts, named entities
Authority	Domain Rating, referring domains	Entity recognition in knowledge graphs
Freshness	Crawl frequency	Last-updated dates, current-as-of claims
Schema	Helpful for rich snippets	Essential — engines extract from it directly

A site can rank #1 on Google for "Singapore renovation companies" and still never be mentioned by Claude when asked the same question. The signals that win in each system overlap but are not identical.

Why your business probably isn't in the answer set

We started running audits in May 2026. Since then, we've audited 12 sites across 11 distinct domains, and the average score is 23 out of 100 — a clean Grade F (numbers pulled live from our audits table on 2026-05-25; the sample is small and the average will move as it grows).

That number is more diagnostic than it looks. 23/100 doesn't mean "barely visible" — it means the foundations that LLMs use to decide who to cite simply aren't there. Specifically, our audits flag the same three structural gaps over and over:

1. No Organization JSON-LD schema. Engines can't extract the business name, location, services, or social handles in a machine-readable way. Roughly four out of five sites we've audited are missing this entirely.
2. No llms.txt or AI-friendly robots.txt allow-list. GPTBot, ClaudeBot, PerplexityBot, and GoogleOther are silently blocked or ignored — sometimes by robots.txt rules inherited from a decade-old WordPress install.
3. No citation-shaped content. Articles don't include quotable, attributable sentences that LLMs can lift cleanly into an answer.

These aren't writing problems. They're structural problems. Fixing them doesn't require rewriting your homepage — it requires adding four or five files and a few lines of HTML.

The five pillars we measure

When we built the audit, we kept the scoring model intentionally narrow. Five pillars, 31 specific checks, weighted to total 100 points:

• AEO (Answer Engine Optimization) — 25 pts. Schema, FAQ markup, fact extractability.
• AIO (Artificial Intelligence Optimization) — 20 pts. Live LLM probes — does the engine mention you for relevant queries today?
• GEO (Generative Engine Optimization, the broader umbrella) — 30 pts. Citation-friendly content, source freshness, entity authority.
• ENTITY — 15 pts. Knowledge graph presence, Wikipedia/Wikidata, sameAs links.
• CONTENT — 10 pts. Long-form depth, internal linking, last-updated dates.

The discipline is empirical, not theoretical. Google's official communication on AI Overviews confirms that Featured Snippet and AI Overview placement share signals — meaning the schema and content structure that ranked well in classic SERP features still pays in the new surface. OpenAI's documentation on its search-augmented models notes that web-retrieval citations favor "well-structured content with clear authority signals." And Search Engine Journal's running GEO topic hub tracks how each engine evolves its citation behavior month by month, which is the part the academic literature can't keep up with.

The how — what you can ship today

If your site starts from 23/100, the playbook is the same five moves regardless of industry:

1. Drop Organization JSON-LD in <head>. Thirty minutes of work; covers roughly 12 of the missing points. The Cyberg7 audit ships a pre-filled version for paid customers, but the template is public and free to copy.
2. Add llms.txt at your domain root. Format is a markdown summary of your site, designed for AI crawlers. Even a basic version moves the needle.
3. Allow-list AI crawlers in robots.txt. Counter-intuitively, Allow: is what most sites need — many silently block GPTBot or ClaudeBot via inherited rules they didn't know existed.
4. Add FAQ schema to your top five product or service pages. Engines pull from this structure directly into answer snippets, which is the single most cited content type.
5. Add a visible "last updated" date on every long-form page. Source freshness carries heavy weight for Perplexity and Google AI Overviews — a 2024 article without a visible date often loses to a clearly-dated 2026 piece on the same topic.

These five moves typically lift a Grade F site to a Grade C–/D+ in days, not months. The harder work — entity authority, citation depth, content cluster expansion — is a multi-month discipline, not a weekend fix. But the structural floor is reachable fast, and it's what most sites are missing today.

Related reading

• [INTERNAL LINK PLACEHOLDER: GEO vs SEO — the 5 differences that actually matter]
• [INTERNAL LINK PLACEHOLDER: Why your business isn't showing up in ChatGPT (and how to fix it)]

Run your own audit

Cyberg7's free audit at /audit returns your score in under 60 seconds. The Basic 7-page PDF lands in your inbox; if you want the 25-page Full Report with drop-in files for all 31 fixes, the Paid Report unlock is S$27 per audit.