Generative Engine Optimization (GEO): How to Get Your Brand Cited by ChatGPT, Perplexity, and Gemini

This guide covers how AI engines choose what to cite, the six tactics that actually move the needle, how to measure AI brand visibility, and where to start if you are new to GEO. By the end, you will have a practical starting point for getting your brand into the AI consideration set.

• Most of your AI visibility is determined off your own website. Third-party lists, review sites, and community mentions drive AI citations far more than your homepage does.

• Ranking #1 on Google does not guarantee inclusion in an AI answer. The two systems pull from overlapping but different source sets.

• GEO requires two parallel workstreams: building your citation surface off-site and structuring your own content for machine extraction.

• A 30 to 50 prompt audit is the fastest way to diagnose where you stand and what gaps to close first.

• GEO produces measurable lift. In the original GEO research, structuring content for generative engines raised a source's visibility in AI answers by up to 40 percent in the study's benchmark (Aggarwal et al., 2023). A prompt audit is how we find the gaps worth closing first.

What Is Generative Engine Optimization (GEO)?

GEO is the set of techniques used to get your brand named inside AI-generated answers. When someone asks ChatGPT "which agencies are good at scaling DTC brands on Meta" or asks Perplexity "what is the best Klaviyo agency for a food brand," the AI synthesizes an answer from a set of sources it trusts. GEO is the work of becoming one of those sources.

The term emerged from a 2023 research paper by Princeton and Georgia Tech researchers studying how generative search engines select and weight content (Aggarwal et al., 2023). The practice has accelerated since Google AI Overviews became standard in US search results and since Perplexity grew to 780 million queries in May 2025 (TechCrunch, June 2025).

The underlying principle is similar to any content strategy: give the platform what it needs to trust and name you. The difference is where that trust-building work happens. With Google SEO, most of the work is on your site. With GEO, most of the work is off your site.

Why it matters now: In a July 2025 Omnisend survey of 1,224 US consumers, 59 percent said they use generative AI tools for shopping research, and one in four said ChatGPT product recommendations beat Google's for product research (Omnisend, July 2025). For ecommerce and DTC brands, buyers are already making shortlist decisions this way.

How AI Engines Choose What to Cite

Models draw from training data, retrieval-augmented sources, and live web search depending on the tool. All three pipelines favor the same types of content.

Third-party curated lists get cited heavily. Models treat "best X for Y" roundups as pre-vetted shortlists. If a "best DTC marketing agencies" list names you, that list is more likely to surface in an answer than your own homepage. Review and comparison sites (Clutch, G2, category-specific directories) operate the same way: they are independent, structured, and regularly updated.

Reddit threads and community discussions get weighted heavily because they represent genuine peer opinion. Models are increasingly tuned to distinguish authentic community discussion from promotional content, so unearned or planted mentions backfire.

Your own pages still matter, but for a specific reason. When a model retrieves from your site, it favors structured, extractable content: a clear opening definition, comparison tables, FAQ sections with direct answers. A homepage with hero text and four marketing paragraphs is harder for a model to use than a blog post that opens with a direct answer.

GEO vs. SEO: Key Differences

Both disciplines overlap in content quality and technical execution. Where they diverge is in what gets optimized and where the leverage sits.

The practical implication: SEO gives you significant control through on-site work. GEO requires moving third parties to name you, which is a different workflow with different timelines and failure modes.

The Six GEO Tactics That Actually Move the Needle

We track AI brand citations for clients across ChatGPT, Perplexity, and Google AI Overviews. The tactics cluster into two buckets: building the off-site citation surface and structuring your own content for extraction. Both matter.

1. Get onto the lists AI answers pull from. The highest-leverage single move is earning inclusion in the "best of" roundups that already get cited for your category. Search your top buyer prompts in Perplexity or ChatGPT and note which lists appear consistently. Those are your outreach targets.

2. Build and maintain review site profiles. Clutch, G2, Trustpilot, and category-specific directories are sources models weight consistently. A thin, outdated, or unreviewed profile gets passed over in favor of competitors with more signal.

3. Earn real community mentions. Reddit threads, Quora answers, and industry forum discussions are cited because they represent genuine peer opinion. Planted or incentivized community content gets moderated and backfires.

4. Structure your content for extraction. Every high-value page should open with a 2 to 3 sentence direct answer. Use H2 headings that make sense out of context. Add comparison tables for parameter-heavy content. Add FAQ sections with H3 question headings and concise answers.

5. Add FAQ schema and Article schema with full articleBody. FAQPage schema maps directly to the question-answer format models prefer. articleBody in Article schema makes JS-rendered content accessible to non-rendering crawlers. Both are table-stakes technical moves.

6. Earn editorial and press mentions. Guest contributions, podcast appearances, and press coverage signal third-party validation. Models treat earned media similarly to how Google's algorithm treats high-authority backlinks: an external source naming you is a credibility signal. Slower to build but durable.

How to Measure Your AI Brand Visibility

Tracking GEO is genuinely harder than tracking SEO. The tools are early. Otterly.ai, GrowByData, and Profound track where your brand appears across ChatGPT, Perplexity, and AI Overviews. The basic workflow is: define the 30 to 50 buyer prompts that matter most for your category, run them through these tools weekly or monthly, and track mention frequency versus competitors.

Three specific metrics worth tracking:

• Prompt coverage: Of your 30 to 50 core buyer questions, what percentage return a mention of your brand? Each uncovered prompt is a specific content or citation gap.

• Citation sources: Which third-party sources are driving your AI mentions? If one roundup accounts for most of your citations, you have concentration risk.

• Competitor share: Where does a competitor get cited that you do not? That gap is the clearest research brief you can write for the next round of outreach or content work.

Most ecommerce brands find that a manual prompt audit (no tool required) gives you more than enough data to act on in the first 90 days. Pull your top buyer questions, run them in ChatGPT and Perplexity, and map who gets named and from which sources. That exercise takes two to three hours and tells you exactly what to prioritize.

Building a GEO Strategy for Ecommerce and DTC Brands

Most brands we work with fall into one of two situations after a prompt audit. Either they have reasonable content but poor citation coverage (off-site work is the priority), or they have decent third-party mentions but content that is hard for a model to extract (on-site restructuring is the priority). Both are fixable. Diagnosing the right one first avoids months of effort on the wrong side.

The practical starting point is always the prompt audit. Define the 30 buyer-intent questions that matter most for your category, test them in ChatGPT and Perplexity, map who gets cited and from which sources, and identify which "best of" lists appear most frequently. That work does not require any paid tool, and it gives you a clear sequence of actions.

For a deeper look at how to vet an agency for GEO work, our guide on getting your ecommerce brand cited by ChatGPT and Perplexity covers the questions to ask and the red flags to watch for. And for the tracking side, we covered the tools and processes an agency should bring in our piece on agencies that track and improve brand mentions in ChatGPT, Gemini, and Perplexity.

Frequently Asked Questions About Generative Engine Optimization