GEO vs. SEO: How to Get Your Clients Cited by ChatGPT, Perplexity and Google AI

Your clients are starting to ask a new question: “When someone asks ChatGPT for the best option in our category, why don’t we show up?” That question is the heart of GEO, or Generative Engine Optimization. The good news for SEO pros is that GEO isn’t a separate universe. It’s mostly SEO done thoroughly, plus a few habits that make content easier for AI systems to find, understand, and quote.

GEO and SEO in plain English

SEO is about earning visibility in search results: rankings, clicks, and conversions from Google, Bing, and other search engines.

GEO is about earning mentions and citations inside AI-generated answers: Google’s AI Overviews and AI Mode, ChatGPT search, Perplexity, Gemini, Microsoft Copilot, and similar tools. Success looks like your client’s brand being named, recommended, or linked as a source when someone asks a relevant question.

How AI answer engines pick sources

The exact systems aren’t public, and they differ between products. But many AI search features retrieve web content (often via a search index), then summarize and cite what they found. That means a few practical truths hold up well:

• If a page isn’t crawlable and indexed, it’s unlikely to be retrieved. Technical SEO still matters.
• Clear, self-contained passages are easier to quote. A paragraph that directly answers a question is more useful to a model than a vague intro.
• Brands mentioned consistently across trusted sites are easier to recommend. Reviews, directories, press, community discussions, and comparison articles all shape what an AI “knows” about a business.
• Specifics beat fluff. Pricing ranges, locations served, product specs, named methods, and original data give an engine something concrete to cite.

The GEO playbook for client sites

1. Fix access first. Confirm key pages are indexed in Google Search Console and Bing Webmaster Tools. Check robots.txt to see which AI crawlers are allowed or blocked, and make that a deliberate business decision with the client rather than an accident.
2. Map the questions. List the questions buyers ask at each stage: “what is,” “how much,” “best for,” “vs.,” and “near me.” These become your target prompts and content briefs. The lesson on keyword research with AI covers how to build this list fast.
3. Write answer-first content. Put a direct, two-to-three sentence answer right under each question-style heading, then expand. Use descriptive headings, short paragraphs, lists, and tables where they genuinely help.
4. Add proof and specifics. Real examples, first-hand experience, named authors with credentials, dates, and original photos or data. This is E-E-A-T in practice, and it gives AI systems something distinctive to cite.
5. Add accurate structured data. Organization, LocalBusiness, Product, Article, and FAQ markup (where appropriate) help machines understand entities and facts. Generate clean JSON-LD with the schema generator and check vocabulary at schema.org.
6. Make brand facts consistent everywhere. Name, description, services, locations, and founder details should match across the website, Google Business Profile, LinkedIn, directories, and social bios.
7. Earn third-party mentions. Get included in relevant roundups, industry directories, podcasts, and community discussions. See link building and brand mentions that still work.
8. Track and iterate. Run a fixed prompt set monthly and log results (more on that below).

Building a simple AI visibility tracker

You don’t need expensive software to start. Build a spreadsheet with 15 to 30 prompts that real customers might ask, then check them monthly across the tools your client’s audience actually uses.

• Prompt text, exactly as run
• Tool and mode (for example ChatGPT search, Perplexity, Google AI Mode)
• Was the client mentioned? Was the client linked as a source?
• Which competitors and which sources were cited
• Notes on accuracy (is the AI describing the client correctly?)
• Date checked

The “which sources were cited” column is gold. It tells you exactly which directories, publications, and review sites to pursue. Also watch GA4 for referral traffic from AI tools, which some of them pass along.

Act as a GEO analyst. My client is [business name], a [type of business] serving [location/audience]. Their main competitors are [competitor 1, 2, 3].

1. Write 25 realistic questions a potential customer might ask an AI assistant before choosing a provider like this. Mix "best," "vs.," "cost," "how to choose," and problem-based questions.
2. For each question, note the buyer stage (awareness, consideration, decision).
3. Suggest which page on the client's site should answer each question, and whether that page likely exists or needs to be created.

Output as a table I can paste into a spreadsheet.

What answer-first content looks like

Here’s a simple before-and-after for a local HVAC company’s page section.

Before: “At our company, we pride ourselves on delivering exceptional heating and cooling solutions to families across the region. With years of experience, our dedicated team is here to help with all your needs.”

After: “How often should you service a furnace? Most manufacturers recommend a professional inspection once a year, ideally before heating season. A standard tune-up covers the burners, heat exchanger, filter, and safety controls. We serve [towns] and can usually schedule within a few days in the fall.”

The second version answers a real question in the first sentence, adds concrete details, and names the service area. It’s more useful to a human reader and far easier for an AI system to quote accurately. Apply this pattern to every high-value question on a client’s site.

Packaging GEO as a service

The easiest way to sell GEO is as an extension of what you already do. Some ways agencies package it:

Start any engagement by running the client’s key pages through the GEO readiness checker, and read the full GEO and AI search guide for more tactics.