This put up 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 optimization Information
- 1. GEO Technique Parts
- 2. Concrete Steps To Succeed With GEO
- 3. Concrete GEO Workflows To Attempt
- 4. Place Your self for AI-Discoverability
GEO Technique Parts
Consider experiences you wouldn’t moderately look forward to finding instantly in ChatGPT or related techniques:
- Partaking content material like a 3D tour of the Louvre or a digital actuality live performance.
- Stay information like costs, flight delays, out there resort 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 meanwhile.
- Subjects 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 bear in mind, however what else?
We have to differentiate between two approaches: influencing foundational fashions versus influencing LLM solutions by grounding. The primary is essentially out of attain for many creators, whereas the second provides actual alternatives.
Influencing Foundational Fashions
Foundational fashions are educated on mounted datasets and may’t study new data 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 may affect buying choices 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 data to assist generate solutions. AI Overviews and ChatGPT’s net search work this manner.
As search engine optimization 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 assist our desired end result.
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 optimization strategies nonetheless apply, with a number of new search engine optimization ways you’ll be able to incorporate into your workflow.
Step 1: Be Crawlable
Sounds easy however it’s truly an essential first step. For those who purpose for optimum visibility in LLMs, you might want to permit 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’ll set off scraping and DDoS preventions. In case you are mechanically blocking aggressive bots, test in along with your IT crew and discover a technique to not block LLMs you care about.
For those who use a CDN, like Fastly or Cloudflare, be certain that LLM crawlers aren’t blocked by default settings.
Step 2: Proceed Gaining Conventional Rankings
An important GEO tactic is so simple as it sounds. Do conventional search engine optimization. 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 somewhat greater than easy RAG. They generate a number of queries. That is known as question fanout.
For instance, after I just lately requested ChatGPT “What’s the newest Google patent mentioned by SEOs?”, it carried out two net searches for “newest Google patent mentioned by SEOs patent 2025 search engine optimization discussion board” and “newest Google patent SEOs 2025 mentioned”.
Recommendation: Verify the everyday question fanouts in 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 yr (2025) is commonly added as nicely.
Beware: fanout patterns differ between LLMs and may change over time. Patterns we see right this moment will not be related anymore in 12 months.
Step 4: Hold 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 personal web site, Crunchbase, Github – at all times describe your self the identical approach.
In case your X and LinkedIn profiles say you’re a “GEO advisor for small companies”, don’t change it to “AIO professional” on Github and “LLMO Freelancer” in your press releases.
I’ve seen individuals obtain optimistic outcomes inside a number 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 get hold of in your model, the extra doubtless LLMs are to parrot it again to customers.
Step 5: Keep away from JavaScript
As an search engine optimization, I at all times ask for as little JavaScript utilization as attainable. As a GEO, I demand it!
Most LLM crawlers can not render JavaScript. In case your essential 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 so much. Each platforms provide user-generated-content on nearly each subject. And because of a number of layers of community-driven moderation, a whole lot of junk and spam is already filtered out.
Whereas each will be gamed, the typical reliability of their content material remains to be much better than on the web as an entire. Each are additionally frequently up to date.
reddit additionally supplies LLM labs with information into how individuals talk about matters on-line, what language they use to explain completely different ideas, and information on obscure area of interest matters.
We will moderately 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, in case you can affect the way you and rivals present up there, you may 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 nice for our clients”, 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 present AI Overview, have content material with related 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 in fact use the dot product as an alternative 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 critiques, tables, movies, and different forms of difficult-to-cite content material codecs.
Step 8: Optimize your Content material
The unique GEO paper
If we have a look at GEO: Generative Engine Optimization (arXiv:2311.09735) , What Proof Do Language Fashions Discover Convincing? (arXiv:2402.11782v1), and related scientific research, the reply is obvious. It relies upon!
To be cited for some matters in some LLMs, it helps to:
- Add distinctive phrases.
- Have professional/cons.
- Collect consumer critiques.
- Quote consultants.
- Embody quantitative information and title your sources.
- Use simple to grasp language.
- Write with optimistic sentiment.
- Add product textual content with low perplexity (predictable and well-structured).
- Embody extra lists (like this one!).
Nevertheless, for different combos of matters and LLMs, these measures will be counterproductive.
Till broadly accepted finest practices evolve, the one recommendation I can provide is do what is nice for customers and run experiments.
Step 9: Persist with the Details
For over a decade, algorithms have extracted information from textual content as triples like (Topic, Predicate, Object) — e.g., (Woman Liberty, Location, New York). A textual content that contradicts identified info could seem untrustworthy. A textual content that aligns with consensus however provides distinctive info is right for LLMs and information graphs.
So keep on with the established info. And add distinctive data.
Step 10: Spend money on Digital PR
The whole lot mentioned right here isn’t just true in your personal web site. It’s also 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 get hold of in your model, the extra doubtless LLMs are to parrot it again to customers.
I’ve even seen circumstances 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 clients to make use of it.
Study Who Your Rivals Are
Identical to with conventional search engine optimization, utilizing a very good GEO instrument will usually reveal surprising rivals. Repeatedly have a look at an inventory of mechanically recognized rivals. For many who shock you, test wherein prompts they’re talked about. Then test 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 have got zero critiques there? Ask clients for a evaluate.
Was your competitor’s CEO interviewed by a Youtuber? Attempt to get on that present as nicely. Or publish your personal movies focusing on related key phrases.
Is your competitor frequently featured on high 10 lists the place you by no means make it to the highest 5? Provide the writer who created the record an affiliate deal they can’t decline. With the subsequent content material replace, you’re virtually assured to be the brand new primary.
Perceive the Sources
When performing search grounding, LLMs depend on sources.
Have a look at the highest sources for a big set of related prompts. Ignore your personal web site and your rivals for a second. You may discover a few of these:
- A neighborhood like Reddit or X. Turn into a part of the neighborhood and be part of the dialogue. X is your finest wager 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 appropriate key phrases.
- An affiliate writer. Purchase your technique to the highest with larger commissions.
- A information and media writer. Purchase an advertorial and/or goal them along with your PR efforts. In sure circumstances, you may wish to contact their industrial content material division.
You can too take a look at this in-depth information on find out how to take care of completely different sorts of supply domains.
Goal Question Fanout
After getting noticed which searches are triggered by question fanout in 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 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 not elective – 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 not elective – it’s the brand new frontline of natural development. We at present see purchasers rising their LLM visitors by 100% each 2 to three months. Typically with as much as 20x the dialog price of typical search engine optimization visitors!
Whether or not you’re shaping AI solutions, monitoring model mentions, or pushing for supply visibility, now could be the time to behave. The LLMs shoppers will belief tomorrow are being educated right this moment.
Picture Credit
Featured Picture: Picture by Peec.ai Used with permission.
