This submit was sponsored by Peec.ai. The opinions expressed on this article are the sponsor’s personal.
Step one of any good GEO marketing campaign is creating one thing that LLM-driven reply machines truly wish to hyperlink out to or reference.
In This search engine marketing Information
- 1. GEO Technique Elements
- 2. Concrete Steps To Succeed With GEO
- 3. Concrete GEO Workflows To Attempt
- 4. Place Your self for AI-Discoverability
GEO Technique Elements
Consider experiences you wouldn’t fairly look forward to finding straight in ChatGPT or comparable techniques:
- Partaking content material like a 3D tour of the Louvre or a digital actuality live performance.
- Dwell information like costs, flight delays, accessible lodge rooms, and many others. Whereas LLMs can combine this information through APIs, I see the chance to seize a few of this visitors in the intervening time.
- Matters that require EEAT (expertise, experience, authoritativeness, trustworthiness).
LLMs can not have first-hand expertise. However customers need it. LLMs are incentivized to reference sources that present first-hand expertise. That’s simply one of many issues to remember, however what else?
We have to differentiate between two approaches: influencing foundational fashions versus influencing LLM solutions by grounding. The primary is basically out of attain for many creators, whereas the second affords actual alternatives.
Influencing Foundational Fashions
Foundational fashions are educated on fastened datasets and might’t study new info after coaching. For present fashions like GPT-4, it’s too late – they’ve already been educated.
However this issues for the long run: think about a sensible fridge caught with o4-mini from 2025 that may – hypothetically – favor Coke over Pepsi. That bias might affect buying selections for years!
Optimizing For RAG/Grounding
When LLMs can’t reply from their coaching information alone, they use retrieval augmented technology (RAG) – pulling in present info to assist generate solutions. AI Overviews and ChatGPT’s internet search work this manner.
As search engine marketing professionals, we would like three issues:
- Our content material will get chosen as a supply.
- Our content material will get quoted most inside these sources.
- Different chosen sources help our desired consequence.
Concrete Steps To Succeed With GEO
Don’t fear, it doesn’t take rocket science to optimize your content material and model mentions for LLMs. Truly, loads of conventional search engine marketing strategies nonetheless apply, with a couple of new search engine marketing techniques you’ll be able to incorporate into your workflow.
Step 1: Be Crawlable
Sounds easy however it’s truly an necessary first step. For those who goal for most visibility in LLMs, you must enable them to crawl your web site. There are lots of completely different LLM crawlers from OpenAI, Anthropic & Co.
A few of them behave so badly that they will set off scraping and DDoS preventions. If you’re robotically blocking aggressive bots, examine in together with your IT staff and discover a method to not block LLMs you care about.
For those who use a CDN, like Fastly or Cloudflare, be sure that LLM crawlers usually are not blocked by default settings.
Step 2: Proceed Gaining Conventional Rankings
Crucial GEO tactic is so simple as it sounds. Do conventional search engine marketing. Rank nicely in Google (for Gemini and AI Overviews), Bing (for ChatGPT and Copilot), Courageous (for Claude), and Baidu (for DeepSeek).
Step 3: Goal the Question Fanout
The present technology of LLMs truly does a bit of greater than easy RAG. They generate a number of queries. That is known as question fanout.
For instance, after I not too long ago requested ChatGPT “What’s the newest Google patent mentioned by SEOs?”, it carried out two internet searches for “newest Google patent mentioned by SEOs patent 2025 search engine marketing discussion board” and “newest Google patent SEOs 2025 mentioned”.
Recommendation: Verify the everyday question fanouts to your prompts and attempt to rank for these key phrases as nicely.
Typical fanout-patterns I see in ChatGPT are appending the time period “boards” after I ask what persons are discussing and appending “interview” after I ask questions associated to an individual. The present 12 months (2025) is commonly added as nicely.
Beware: fanout patterns differ between LLMs and might change over time. Patterns we see at this time will not be related anymore in 12 months.
Step 4: Preserve Consistency Throughout Your Model Mentions
That is one thing easy everybody ought to do – each as an individual and an enterprise. Be sure to are constantly described on-line. On X, LinkedIn, your individual web site, Crunchbase, Github – all the time describe your self the identical manner.
In case your X and LinkedIn profiles say you’re a “GEO advisor for small companies”, don’t change it to “AIO skilled” on Github and “LLMO Freelancer” in your press releases.
I’ve seen folks obtain constructive outcomes inside a couple of days on ChatGPT and Google AI Overviews by merely having a constant self description throughout the net. This additionally applies to PR protection – the extra and higher protection you’ll be able to receive to your model, the extra possible LLMs are to parrot it again to customers.
Step 5: Keep away from JavaScript
As an search engine marketing, I all the time ask for as little JavaScript utilization as potential. As a GEO, I demand it!
Most LLM crawlers can not render JavaScript. In case your primary content material is hidden behind JavaScript, you might be out.
Step 6: Embrace Social Media & UGC
Unsurprisingly, LLMs appear to depend on reddit and Wikipedia loads. Each platforms supply user-generated-content on nearly each subject. And due to a number of layers of community-driven moderation, a variety of junk and spam is already filtered out.
Whereas each may be gamed, the common reliability of their content material remains to be much better than on the web as a complete. Each are additionally repeatedly up to date.
reddit additionally supplies LLM labs with information into how folks talk about subjects on-line, what language they use to explain completely different ideas, and data on obscure area of interest subjects.
We will fairly assume that moderated UGC discovered on platforms like reddit, Wikipedia, Quora, and Stackoverflow will keep related for LLMs.
I don’t advocate spamming these platforms. Nevertheless, if you happen to can affect the way you and rivals present up there, you would possibly wish to accomplish that.
Step 7: Create For Machine-Readability & Quotability
Write content material that LLMs perceive and wish to cite. Nobody has figured this one out completely but, however right here’s what appears to work:
- Use declarative and factual language. As a substitute of writing “We’re kinda positive this shoe is sweet for our prospects”, write “96% of consumers have self-reported to be proud of this shoe.”
- Add schema. It has been debated many occasions. Lately, Fabrice Canel (Principal Product Supervisor at Bing) confirmed that schema markup helps LLMs to grasp your content material.
- If you wish to be quoted in an already current AI Overview, have content material with comparable size to what’s already there. Whereas you shouldn’t simply copy the present AI Overview, having excessive cosine equally helps. And for the nerds: sure, given normalization, you’ll be able to after all use the dot product as a substitute of cosine similarity.
- For those who use technical phrases in your content material, clarify them. Ideally in a easy sentence.
- Add summaries of lengthy textual content paragraphs, lists of opinions, tables, movies, and different forms of difficult-to-cite content material codecs.
Step 8: Optimize your Content material
The unique GEO paper
If we take a look at GEO: Generative Engine Optimization (arXiv:2311.09735) , What Proof Do Language Fashions Discover Convincing? (arXiv:2402.11782v1), and comparable scientific research, the reply is evident. It relies upon!
To be cited for some subjects in some LLMs, it helps to:
- Add distinctive phrases.
- Have professional/cons.
- Collect person opinions.
- Quote consultants.
- Embrace quantitative information and identify your sources.
- Use straightforward to grasp language.
- Write with constructive sentiment.
- Add product textual content with low perplexity (predictable and well-structured).
- Embrace extra lists (like this one!).
Nevertheless, for different mixtures of subjects and LLMs, these measures may be counterproductive.
Till broadly accepted finest practices evolve, the one recommendation I can provide is do what is sweet for customers and run experiments.
Step 9: Persist with the Info
For over a decade, algorithms have extracted data from textual content as triples like (Topic, Predicate, Object) — e.g., (Girl Liberty, Location, New York). A textual content that contradicts identified details could seem untrustworthy. A textual content that aligns with consensus however provides distinctive details is good for LLMs and data graphs.
So follow the established details. And add distinctive info.
Step 10: Put money into Digital PR
Every little thing mentioned right here is not only true to your personal web site. Additionally it is true for content material on different web sites. The easiest way to affect it? Digital PR!
The extra and higher protection you’ll be able to receive to your model, the extra possible LLMs are to parrot it again to customers.
I’ve even seen instances the place advertorials have been used as sources!
Concrete GEO Workflows To Attempt
Earlier than I joined Peec AI, I used to be a buyer. Right here is how I used the instrument – and the way I counsel our prospects to make use of it.
Study Who Your Opponents Are
Similar to with conventional search engine marketing, utilizing an excellent GEO instrument will usually reveal surprising rivals. Repeatedly take a look at a listing of robotically recognized rivals. For many who shock you, examine wherein prompts they’re talked about. Then examine the sources that led to their inclusion. Are you represented correctly in these sources? If not, act!
Is a competitor referenced due to their PeerSpot profile however you’ve gotten zero opinions there? Ask prospects for a overview.
Was your competitor’s CEO interviewed by a Youtuber? Attempt to get on that present as nicely. Or publish your individual movies concentrating on comparable key phrases.
Is your competitor repeatedly featured on prime 10 lists the place you by no means make it to the highest 5? Supply the writer who created the listing an affiliate deal they can not decline. With the following content material replace, you’re virtually assured to be the brand new primary.
Perceive the Sources
When performing search grounding, LLMs depend on sources.
Take a look at the highest sources for a big set of related prompts. Ignore your individual web site and your rivals for a second. You would possibly discover a few of these:
- A group like Reddit or X. Grow to be a part of the group and be a part of the dialogue. X is your finest guess to affect outcomes on Grok.
- An influencer-driven web site like YouTube or TikTok. Rent influencers to create movies. Ensure to instruct them to focus on the best key phrases.
- An affiliate writer. Purchase your method to the highest with increased commissions.
- A information and media writer. Purchase an advertorial and/or goal them together with your PR efforts. In sure instances, you would possibly wish to contact their business content material division.
You may also take a look at this in-depth information on cope with completely different sorts of supply domains.
Goal Question Fanout
After you have noticed which searches are triggered by question fanout to your most related prompts, create content material to focus on them.
By yourself web site. With posts on Medium and LinkedIn. With press releases. Or just by paying for article placements. If it ranks nicely in search engines like google, it has an opportunity to be cited by LLM-based reply engines.
Place Your self for AI-Discoverability
Generative Engine Optimization is now not optionally available – it’s the brand new frontline of natural development. At Peec AI, we’re constructing the instruments to trace, affect, and win on this new ecosystem.
Generative Engine Optimization is now not optionally available – it’s the brand new frontline of natural development. We presently see shoppers rising their LLM visitors by 100% each 2 to three months. Generally with as much as 20x the dialog price of typical search engine marketing visitors!
Whether or not you’re shaping AI solutions, monitoring model mentions, or pushing for supply visibility, now’s the time to behave. The LLMs shoppers will belief tomorrow are being educated at this time.
Picture Credit
Featured Picture: Picture by Peec.ai Used with permission.
