Step 1: Be Crawlable
This may even sound simple, but this is a vital preliminary process. Your best bet for getting seen in large language models is to enable them to crawl your site. There are many LLM crawlers, such as OpenAI and Anthropic.
Specific crawlers are likely to act so predatorily that they can provoke scraping and DDoS mitigation actions. If you have automated blocks against aggressive bots, align with your IT team to make sure that you do not block the LLM crawlers that you do want to access.
When you deploy a CDN, such as Fastly or Cloudflare, your LLM crawlers should not be blocked by default.
Step 2: Continue Gaining Search Engine Optimization Rankings
The best strategy for GEO is relatively simple: target traditional SEO. Rank highly on Google (Gemini and AI Overviews), Bing (ChatGPT and Copilot), Brave (Claude), and Baidu (DeepSeek).
SEO remains crucial in Google Search and other search engines. However, the introduction of AI search with its advanced models is changing the game of generating and providing search results by eliminating the need to match keywords merely and instead offering highly context-sensitive and personalized search results.
Step 3: Target the Query Fanout
The current generation of LLMs does a little more than simple RAG. They generate multiple queries. This is called query fanout. LLMs analyze user queries and process entire sequences of text, allowing them to generate AI-generated responses that are tailored to user intent.
As an example, I also recently asked ChatGPT, “What is the newest Google patent that SEOs talk about?”, and it did two web searches on the queries “latest Google patent discussed by SEOs patent 2025 SEO forum” and “latest Google patent SEOs 2025 discussed” (which returned identical results as the former query).
Tips: Check typical query fanouts to your prompts and strive to acquire ranking on those keywords too.
The most common fanout patterns I encounter in ChatGPT involve using the word “forums” to inquire about a topic in the public and attaching “interview” to questions about people. Also often mentioned is the current year (2025).
Caution: fanout patterns can change across LLMs and may change over time as well. What we are seeing today may not be relevant in a year.
Step 4: Keep Consistency Across Your Brand Mentions
It is a rather basic but essential exercise for all people, whether in a business context or otherwise. Ensure your presence remains consistent across all platforms, including X, LinkedIn, your web page, Crunchbase, and GitHub. Always maintain the same profile description, regardless of where you are.
When listing your occupation on multiple social sites, such as “GEO consultant on small business,” do not alter it to “AIO expert” on Github or “LLMO Freelancer” in your press releases.
On ChatGPT and Google AI Overviews, people have claimed to see positive results within a couple of days by simply utilizing a consistent self-description throughout the web. The same can be said about PR coverage, too. The broader and better the PR coverage you get on your brand, the more you will get referred back to users by the large language models.
Step 5: Avoid JavaScript
As an SEO, I require a minimum amount of JavaScript to be utilized. I insist on it as a GEO!
The majority of LLM crawlers are unable to process JavaScript. You are out if your main content is buried in JavaScript.
Step 6: Embrace Social Media & UGC
LLMs appear to be heavily dependent on Reddit and Wikipedia. Both sites provide user-generated content on nearly any subject. And with various levels of community-based moderation, a lot of the junk and spam already gets weeded out. Platforms are now dealing with the issue of maintaining a balance between human contributions and the volume of AI-generated content and posts.
Donors can manipulate both platforms, but the general content trustworthiness of those systems is much more customary than it is on the internet. Besides, the two are constantly updated.
Reddit provides valuable insights to LLM labs on how individuals can engage in online discourse, the terminology used in various topics, and knowledge of specific specialty areas.
It is only logical to suppose that user-generated content that is moderated on websites such as Reddit, Wikipedia, Quora, and Stack Overflow will remain relevant in large language models.
I do not suggest spamming those sites, but whenever you have such an opportunity to influence how your brand and competitors are represented there, it might be worth considering.
Step 7: Create For Machine-Readability & Quotability
Write in a manner or style that large language models (LLMs) will understand readily and tend to cite. Although there is nobody who has it right yet, the following approaches appear to work:
Write indicating and factual words. Instead of typing something like “We are fairly confident that the shoe is good on our customers”, type something like this: 96 percent of buyers have self-reported being happy with this shoe.
Add schema. It has been argued many times. Very recently, Fabrice Canel (Principal Product Manager at Bing) stated that schema markup can assist LLMs to comprehend your content.
If you desire to be quoted in an already publicized AI Overview, then you are supposed to possess content that is approximately of the same length as the already available one. Having a high cosine can also assist, but you are not just supposed to copy the current AI Overview. And nerd-fans: yes, you can of course use dot product instead of cosine similarity, given normalization.
In case you use some technical terms that you wish to explain in your content, do so, ideally in a single sentence.
Include summaries of lengthy paragraphs of text, lists of reviews, tables, videos, and other forms of content formats that may be difficult to cite.
Step 8: Optimize your AI-generated content
To be cited for some topics in some LLMs, it helps to:
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- Add unique words.
- Have pros/cons.
- Gather user reviews.
- Quote experts.
- Include quantitative data and name your sources.
- Use easy-to-understand language.
- Write with positive sentiment.
- Add product text with low perplexity (predictable and well-structured).
- Include more lists (like this one!).
- Provide valuable insights and actionable insights to support data-driven decisions, and ensure human oversight to maintain content quality and accuracy.
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Nevertheless, such measures may backfire with other combinations of topics and LLMs.
Until well-established best practices become standard practice, in the short term, my advice is to think about what benefits users, and to experiment enthusiastically.
Step 9: Stick to the Facts
In more than 10 years, algorithms have been able to learn through text represented as triples such as (Subject, Predicate, Object) — in other words, (Lady Liberty, Location, New York). Text that has been disproven by known facts can be considered unreliable, and the information that agrees with the majority opinion and contains new information is the kind that will benefit both LLMs and knowledge graphs.
The facts presented can be validated using mathematical models, and the information provided to LLMs can be precise.
And stick to the ascertained facts. And include some original facts.
Step 10: Invest in Digital PR
All of this will be true of your site as well as literally any other site. How best to influence this? Digital PR!
The more coverage you get for your brand, the more likely LLMs are to repeat it to users.
I have even read situations where advertorials were used as sources!
Concrete GEO Workflows To Try
Before my joining Peec AI, I was a customer. This is how I applied the tool (and how I recommend that our customers apply it). One can simplify the GEO work in the system by using an advanced AI tool or a Gen AI platform and optimize software development.
Learn Who Your Competitors Are
As with other SEOs, leveraging a good GEO tool can reveal unexpected rivals. Review the list of competitors that are identified automatically regularly. In case of any surprises, look into where they have been prompted and investigate the sources that were included in them. Do you figure well in those sources? Otherwise, do something!
Is a competitor cited because of their PeerSpot profile, and you have no reviews in PeerSpot? Make your customers review a product.
Did a popular YouTuber interview the CEO of your competitor? You want to be featured on that show, or create your videos using the exact keywords.
Does your rival often find itself on the top 10 or some lists, whereas you can never break the top 5? It may be a good idea to provide the publisher of the list with a hard-to-resist affiliate offer. You may be the number one with the following content update.
Understand the Sources
Sources are consulted when LLMs carry out generation searching.
Investigate the leading sources that could provide a broad scope of pertinent prompts, but leave your site and rivals on the back street. Of these, you may hear some of the following:
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- A community like Reddit or X. Become part of the community and join the discussion. X is your best bet to influence results on Grok.
- An influencer-driven website like YouTube or TikTok. Hire influencers to create videos. Make sure to instruct them to target the right keywords.
- An affiliate publisher. Buy your way to the top with higher commissions.
- A news and media publisher. Buy an advertorial and/or target them with your PR efforts. In some instances, you should contact their commercial content department.
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Target Query Fanout
Once you have discovered the searches that query fanout is producing on your key prompts, create something with the express intent of targeting those search terms.
Whether that will be on your site, posted on Medium and LinkedIn, published in press releases, or even by paying to place an article–so long as it appears high in search engines, chances are good LLM-based answer engines will cite it.
Position Yourself for AI-Discoverability
Generative Engine Optimization is what is needed most nowadays- it is the vanguard of organic growth. At Peec AI, we are working on tools to help you track, influence, and succeed within this changing landscape.
We have seen clients doubling their LLM-fuelled traffic in 2 to 3 months with conversion rates as much as 20 times higher than conventional SEO traffic!
The question is not whether you are going to do any of the following: create artificial intelligence answers, monitor your brand mentions, or pursue source authority. The question is the urgency in doing so. The LLMs that consumers will use in the future are being trained now.
Conclusion
Generative Engine Optimization is quickly becoming a critical discipline as AI-driven search changes how users discover information. While many traditional SEO best practices still apply, GEO requires a deeper focus on machine readability, source authority, and positioning content where LLMs can find, trust, and quote it. Brands that adopt GEO now can capture early advantages in AI search visibility, potentially driving higher-quality traffic and stronger conversion rates. The future of search is being shaped today, and those who prepare for AI discoverability will be best positioned to lead in the next wave of organic growth.