L3ad Solutions
GEO

Generative Engine Optimization: How to Get Cited by ChatGPT, Claude, and Perplexity

What GEO/AEO actually is, the mechanics of how AI engines pick which sources to cite, and the on-site changes that move the needle for local service businesses.

Nathaniel · Founder, L3ad Solutions

Software Engineering, WGU

TL;DR

Generative Engine Optimization (GEO) is the work of getting your business cited when ChatGPT, Claude, Gemini, and Perplexity answer questions in your category. It's a different game than classic SEO. The signals that matter: clean structured data, factual unambiguous claims, well-formatted FAQ content, and presence on third-party authority sites that AI training and retrieval both pull from. The fastest wins for a local service business are FAQ schema, llms.txt, and getting cited on local press / chamber sites.

The way customers find services is shifting. Not as fast as the AI press cycle suggests, but the curve is real. A meaningful slice of search-driven business inquiries now starts with someone asking ChatGPT, Claude, Gemini, or Perplexity for a recommendation. The businesses cited get the call. The ones that aren't get nothing.

This pillar explains the actual mechanics — not the breathless takes — and what to do on your site to move the needle.

What GEO/AEO actually is

Generative Engine Optimization is the practice of making your site easy for AI engines to ingest, understand, and cite. It overlaps with classic SEO but has different priorities. Where classic SEO ranks pages for keyword relevance, GEO ranks claims for factual extractability.

The mechanic underneath: when a customer asks ChatGPT "best plumber in Titusville FL," the model has to decide what to say. It has two sources:

  1. Training data: text the model saw during training. This is roughly through April 2024 for GPT-4 family models, more recent for others. Sites with strong presence at training time embed in the model's understanding of "plumbers in Titusville."
  2. Retrieval at query time: many production AI assistants now run a real-time web search and read the top results before answering. ChatGPT's web browsing, Perplexity's entire pipeline, Claude's tool-using configurations.

Your job is to be in both. Training-time presence requires authority signals across the open web (your site, but also third-party mentions, press, citations on authority domains). Retrieval-time presence requires being easy to extract — clean structured data, factual claims, well-organized content.

The signals that move GEO rankings

1. Structured data, especially FAQ and LocalBusiness schema

AI engines parse JSON-LD schema heavily. A page with FAQPage schema, where each Q/A pair is unambiguous, gives the AI clean text to quote with attribution.

For a local service business, the minimum schema:

  • LocalBusiness schema on your homepage with full address, phone, hours, service area
  • FAQPage schema on key landing pages
  • Service schema for each service offering
  • BreadcrumbList for hierarchy
  • Article with articleBody populated for blog posts (not just headline + description)

Our Schema Markup Generator builds the LocalBusiness baseline; the rest comes from the page templates.

2. Clean factual writing

AI engines weight extractability heavily. Marketing copy ("we deliver world-class service") doesn't extract. Specific claims ("we serve Titusville, Cocoa, and Rockledge with same-day AC repair") do.

The rewriting rule: every paragraph should contain at least one specific, factual, attributable claim. Brand-positioning paragraphs are dead weight from a GEO perspective.

3. The /llms.txt file

/llms.txt (proposed standard 2024) is a markdown summary of your site, structured for AI consumption. It lists your services, areas served, content types, and how you'd like to be cited.

It's not a magic bullet — most AI engines don't currently parse it — but it's a small file (200 lines max) that takes an hour to write and signals you're set up for AI-era discovery. We added one to the site at /llms.txt.

4. Authority-site mentions

This is the big one most operators miss. AI engines weight mentions on authority sites (chambers of commerce, local press, industry directories, .gov and .edu where applicable) heavily, because these are the sources their training and retrieval pipelines trust most.

For a Florida service business, the high-leverage moves:

  • Get listed on your local chamber of commerce site with a real description
  • Pitch local press (Florida Today, Space Coast Daily) with a genuine story
  • Submit to industry directories (BBB, Angi for relevant categories, ServiceMagic)
  • Build a presence on Reddit subreddits for your area (r/SpaceCoast, r/Brevard) with genuine helpful answers, not promotional posts

These mentions don't move classic SEO rankings much (most are nofollow or low-authority). They move GEO rankings significantly because AI engines treat them as trust signals.

5. Question-shaped content

AI engines retrieve based on the user's question. Content structured as Q&A retrieves better than content structured as marketing prose.

The practical move: for every service page, add a 5-8 question FAQ section answering questions a real customer would ask. Make the questions match real search behavior (use "People also ask" results in Google as a source). Make the answers specific and factually attributable.

We use the same approach on every pillar page (this one included) — not because it looks nice, but because it materially improves AI citation rates.

What doesn't work for GEO

Stuffing keywords. AI engines strip filler. Keyword density doesn't help.

"AI-friendly" badge widgets. Various tools promise to add invisible AI-readable content to your pages. Skip them. Schema and clean content do the same thing without dependency on a third-party widget.

Trying to game Perplexity's citations specifically. Perplexity changes its retrieval pipeline frequently. Optimize for clean, extractable content and you'll be cited consistently across engines.

Measuring GEO performance

Manual: ask the major AI engines your top 5-10 commercial queries in incognito mode, see if you're cited, and log it. We do this monthly for ourselves and clients.

Automated: a simple weekly script that calls each engine via API with a fixed query list, parses the response for your domain, and logs hits. We built this for ourselves at scripts/xai-rank-snapshot.ts (xAI live search) and a Perplexity equivalent. Track over time, optimize for the queries where you're being missed.

How GEO fits with the rest

GEO is additive, not a replacement. Classic SEO still drives 85%+ of search traffic for most local businesses. The order to invest in:

  1. Get classic local SEO working (GBP, reviews, on-page) — see Local SEO Fundamentals
  2. Add the GEO layer on top: schema, FAQ structure, llms.txt, factual content
  3. Measure and iterate

A business that nails classic local SEO but ignores GEO loses ~10% of available traffic today, growing. A business that focuses only on GEO without the classic foundation will be invisible at scale. Do both.

If you want our take on where your site currently stands on the GEO axis specifically, the AI Search Optimization service page lays out the audit we run for new clients.

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