SEO for AI: How to Get Cited by Artificial Intelligence

Your customers are asking ChatGPT, Gemini and Perplexity which companies to hire, which products to buy and which solutions solve their problems. In many of those answers, one company gets recommended and the others are left out. SEO for AI is the work of making sure yours is the one recommended, not the one forgotten. For anyone who depends on being found online, this is no longer a future concern; it’s a present one.

This guide explains what SEO for AI is, how it relates to traditional SEO and GEO, which tactics actually work according to available research and how your company can get started. The focus is practical: what to do to get cited by the AI your customers already use every day.

Quick answer: SEO for AI is the practice of optimizing a company’s content and online presence so it’s understood, cited and recommended by AI tools like ChatGPT, Gemini, Perplexity and Google’s AI answers. It rests on the same fundamentals as traditional SEO (quality content, solid technical foundations and authority), with tactics adapted to how language models read and choose their sources: direct answers, concrete data, citations and clear structure.

What Is SEO for AI?

SEO for AI is the set of practices that get a company found and recommended by AI at the moment someone asks it a question. The term is used broadly and usually covers two more technical acronyms: GEO, generative engine optimization, and AEO, answer engine optimization.

The logic differs from traditional search on one central point. In classic Google, the goal is to appear in the list of links and win the click. When someone asks ChatGPT, the answer comes ready-made, synthesized from several sources, often without the person clicking any site. Being cited inside that answer is what puts your company in front of the customer.

All of this rests on understanding how language models work: LLMs, the technology behind tools like ChatGPT. Knowing how they choose what to cite is what lets you work toward being chosen.

SEO for AI, GEO and Traditional SEO: How They Fit Together

The terms overlap and cause confusion, so it’s worth sorting out how they relate.

Traditional SEO is the foundation of everything: getting your company found in search engines through quality content, healthy technical structure and authority. It remains essential, because Google still drives most traffic for most businesses.

GEO, generative engine optimization, is that work evolving for AI search. It uses the same fundamentals, adapted to how AI reads content and builds answers. SEO for AI is, in practice, the most accessible name for this work.

The key point is that you don’t have to pick one. The technical and content foundation behind traditional SEO is exactly the same one that feeds SEO for AI. If you’ve already built a solid online presence, you’re halfway to being cited by AI. That’s why an SEO agency today covers both fronts at once instead of treating them as separate projects.

What Works in SEO for AI

Unlike many new marketing concepts, SEO for AI already has a research base. The Princeton academic study that founded the GEO concept tested nine content strategies and measured which ones increased visibility in AI-generated answers.

According to this Princeton study on generative engine optimization, three tactics stood out. The first is adding statistics: content with specific numbers attributed to a named source performs better, because the AI is effectively fact-checking as it writes. The second is citing trustworthy sources, which signals that the information is well grounded. The third is using direct quotes from experts. Together, these tactics increased visibility by up to 40%.

An equally important finding is what doesn’t work: the old practice of repeating keywords, so associated with old-school SEO, had no meaningful effect on generative engines. That confirms SEO for AI rewards content quality and credibility, not repetition tricks.

From that base, the practical work includes structuring content as direct questions and answers, the format AI extracts best, making sure information about your business is accurate and consistent across the internet and building the authority that makes models trust your brand as a source. That last point connects directly to E-E-A-T, which Google already uses and AI also values.

The Technical Foundation Is Still Essential

It’s tempting to think SEO for AI is just about writing content the right way. Technical work is as important as ever, for a simple reason: AI won’t cite a page it can’t access or understand.

If your site is slow, poorly structured or has crawling problems, language models will struggle to read and use your content, however good it is. All the technical SEO groundwork that mattered for Google still applies, with a new layer of files like llms.txt that help guide AI about your site’s content.

That’s why SEO for AI always starts with a diagnosis covering technical foundations, content and authority together. Without that foundation, content tactics yield little.

Why Start Now

Timing is the strongest argument for SEO for AI. Adoption of AI tools is massive and growing fast, while most companies still aren’t working to get cited by them. That combination opens a window.

Those who start now compete for space with few rivals paying attention. As more companies wake up to SEO for AI, competition will intensify, as already happened with traditional SEO over the years. Building authority takes time, so starting early is what secures the advantage once the topic becomes mainstream.

It’s worth repeating that starting with SEO for AI doesn’t mean abandoning Google. It means expanding the strategy to cover both fronts from the same base of work, getting double the return on your effort.

Frequently Asked Questions About SEO for AI

Does SEO for AI replace traditional SEO?

No. SEO for AI is an extension of traditional SEO, built on the same foundation of quality content, solid technical work and authority. Traditional Google still drives most traffic for most businesses, so the path is to cover both fronts, not swap one for the other.

How do I know if my company already appears in AI answers?

The most direct way is to test: ask ChatGPT, Gemini and Perplexity questions about your industry and see which companies come up. There are also monitoring tools that track your brand’s mentions in these systems over time, useful for measuring progress.

How long does it take to see results from SEO for AI?

Since the work depends on the same authority and content foundation as traditional SEO, it follows a medium-term logic. Sites with a solid online presence tend to see results faster, because AI already finds reliable material to cite. It’s ongoing work, not an instant result.

Can I manipulate AI into speaking well of my company?

Manipulation isn’t the path, and attempts to fool models tend to fail or create risk. Serious work means building an accurate online presence, with precise information about your business and recognized authority. That increases the chance AI represents your company positively and accurately, because it reflects reality.

Does SEO for AI work for any type of company?

It works for any company whose customers look for information online before buying or hiring, which includes the vast majority of businesses today. Service companies, local retail, e-commerce and B2B businesses can all benefit from being cited when customers ask AI about their industry.

What’s the difference between GEO, AEO and SEO for AI?

They’re very close terms. GEO (Generative Engine Optimization) focuses on being cited in AI-generated answers. AEO (Answer Engine Optimization) focuses on being the answer to direct questions. SEO for AI is the broader, more accessible term covering these practices. In practice, they all describe the same goal: being found and recommended by AI.

Make Sure AI Recommends Your Company

People already ask AI which companies to hire, and those answers influence buying decisions every day. Being among the companies cited is an advantage you build through work, and those who start now face less competition.

Malamute Digital combines SEO fundamentals with AI search optimization. To find out how your company shows up in AI answers today and build a strategy to improve that presence, start with an SEO audit or explore our SEO consulting.

References

• Aggarwal, P. et al. GEO: Generative Engine Optimization. Princeton University, ACM SIGKDD 2024. Available at: arxiv.org/abs/2311.09735