Thousands and thousands of individuals nonetheless flip to Google for solutions. However there’s additionally a rising variety of people who find themselves turning to AI assistants like ChatGPT, Claude, and Perplexity instantly for solutions and getting their duties completed.
In case your model isn’t showing in these AI responses, you’re turning into invisible to an more and more necessary section of your viewers.
LLM visibility is about ensuring you’re talked about and cited in massive language fashions (LLMs) like ChatGPT, Claude, Perplexity, and Google’s AI Overviews and AI Mode.
Tracking LLM visibility is important because more and more people are using LLMs to ask questions, get recommendations, and do things for them.
For example, SparkToro found that over 20% of People are actually heavy customers of AI instruments (using them 10X or extra every month), and almost 40% use AI instruments at the very least as soon as a month.
Merely put: In the event you’re not showing in LLM summaries or citations, you’re lacking out on potential leads, gross sales, and conversions.
For Ahrefs, for instance, AI search guests convert at a 23x larger fee than conventional natural search guests.
Search engine visibility is about rating larger in serps like Google. Usually talking, the upper you rank, the extra clicks you’ll get to your web site.
SEOs and digital entrepreneurs measure this by taking a look at:
- How a lot search visitors they get
- What key phrases they rank for
- What positions they’re rating for
However, LLM visibility is about exhibiting up within the generated responses or citations by LLMs.
More often than not, there’s no click on as there’s no must. Though that doesn’t imply you’re not getting conversions or gross sales.
Individuals may nonetheless keep in mind your model (if talked about). Or they may belong to the tiny group of people that really click on on the citations and navigate to your web site. Or they may see your model in a generated response and do a seek for you on Google.
Within the final state of affairs, though the ‘click on’ originated from LLMs, your analytics device may attribute it to serps, supplying you with the misunderstanding that LLMs do nothing for you.
Though LLM visibility is the brand new child on the block, it doesn’t imply it’s extra necessary or that search engine visibility is lifeless.
Firstly, individuals are nonetheless utilizing conventional serps. In line with SparkToro, 95% of People proceed to make use of them every month, and 86% are heavy customers.
Secondly, due to how LLMs work (see subsequent part), you’ll doubtless nonetheless must rank excessive in serps so as to be cited.
For instance, we discovered a constructive average correlation between rating excessive on the SERPs versus being cited in AI Overviews (AIOs). This means that the upper you rank, the extra doubtless you’ll seem in AIOs.
Benji Hyam of Develop&Convert, a content material advertising company, additionally found the same. After they analyzed 400+ high-intent key phrases the place their shoppers ranked on web page one, they discovered that, on common, their shoppers have been talked about 67% of the time in ChatGPT and 77% of the time in Perplexity.
In actual fact, in line with Dan Petrovic of Dejan Advertising and marketing, an search engine marketing company, OpenAI has doubtless made the executive decision to make GPT-5 extra reliant on retrieving from serps, somewhat than attempting to comprise all data.
Let me translate: search engine marketing is not lifeless. Search engine visibility continues to be as necessary as ever.
However I don’t need to say that SE visibility is 100% LLM visibility. There are nonetheless some gaps. For instance, AI Mode (utilizing Gemini) makes use of query fan-out (QFO) to uncover subqueries and long-tail key phrases, which finally will get mixed into one generated reply.
Which suggests: They may find yourself even deciding on pages that might have sometimes ranked on the second or third web page of Google for the first key phrases. Historically, these pages would by no means get any visibility, however now they may.
To sum up: Each search engine and LLM visibility are necessary. Consider it this fashion: search engine marketing is your basis and generative engine optimization (GEO) is future-proofing your on-line presence.
In an effort to optimize for LLM visibility, we have to return to first rules.
How do LLMs get their data?
In essence, two primary methods:
- They ingest new coaching information to replace their information — This occurs sometimes. For instance, GPT-5’s cut-off was September 2024 and Gemini 2.5 Professional was January 2025.
- They depend on search indices — LLMs use retrieval-augmented generation (RAG) to retrieve data from search indices like Google and Bing, then incorporate that data into their generated solutions.
So, all LLM optimization ways revolve round these two strategies:
- Rising your visibility in coaching information — In case your model is often talked about within the information sources these LLMs use, then it’s doubtless your model will seem the place related. Nevertheless, this might not be essentially the most possible in actuality, as we now have no solution to know or management which information sources LLMs use to coach their fashions
- Rising your visibility in search indices — Aka search engine marketing!
How can we do that? Listed here are some ways that’ll assist:
1. Construct off-site mentions
That is most likely the one most necessary factor you are able to do to enhance your visibility in LLM outputs.
That’s as a result of a method LLMs perceive your model and when it ought to suggest you, is by understanding what number of different locations in its dataset point out you and also you within the right context.
In actual fact, in our study of 75,000 brands to see which factors are most likely to influence brand mentions in AI Overviews, we found that brand web mentions showed the strongest correlation with AI Overview brand visibility.
So, if you can get your brand or products mentioned many times in many places in relevant context, you dramatically increase the likelihood that LLMs will recommend you on those topics.
While you’ll want your brand to be mentioned on every relevant page in the world, a good way to start is to focus and get your brand mentioned on the most commonly cited domains on the Internet.
Every LLM has their own preferences on the type of websites they tend to include, but there are strong commonalities amongst all of them.
For examples, they all seem to prioritize:
- User-generated content sites like Reddit and Quora
- Third-party review sites like G2 and CNET
- YouTube
You’d want to be present on these sites: make videos, participate in communities, and get your customers to leave good reviews for you.
Yes, if you’ve caught on by now, SEO/GEO/AEO is just good digital marketing.
Another way is to look at the most commonly cited domains for your desired topics and make sure you’re mentioned in those websites too.
Here’s how you can do this:
- Go to Brand Radar
- Enter your topic
- Go to the Cited domains report
These websites are all great candidates for outreach—you can guest post, sponsor them, or any other way to get your brand talked about or mentioned on those sites.
2. Optimize LLM-preferred content
Some page types are more likely to be cited by LLMs. Understanding these preferences can help you prioritize which pages to optimize and what new content to create.
When we analyzed AI traffic received by 35,000 websites to find the most common N-grams in page URLs, we saw these commonly cited page types:
- Blog posts and guides
- Comparison content (e.g. “top”, “best”, “vs”) as LLMs often need to present multiple options to users
- Core website pages like contact us, about us, and product pages
- Original research, studies, and data as LLMs frequently seek evidence and research to back up their claims
- PDF documents
- Video content
What do you do after you’ve identified these pages on your website?
Well, LLM optimization is still evolving and it’s impossible to guarantee anything, these techniques do show some promise:
- Keep content fresh — Our analysis of 17 million citations found that ChatGPT, Copilot, Gemini, and Perplexity all prefer to cite content that’s newer than what typically appears in traditional search results. This likely reflects how RAG works as LLMs are more likely to retrieve information about topics not included in their original training data. Focus on updating pages that cover fresh, modern, or novel topics rather than updating everything constantly.
- Use “Bottom Line Up Front” (BLUF) — Lead with your most important ideas as quickly as possible. This helps both readers and LLMs understand your content’s value immediately.
- Write declarative sentences — LLMs prefer confident, definitive statements when gathering evidence. Instead of wishy-washy language, write in opinionated sentences that sound authoritative.
- Keep sentence structure simple — Don’t start a paragraph about a topic but wait until the end to actually name what you’re discussing. Simple, clear sentence structures are easier for both readers and LLMs to understand.
- Increase entity richness — LLMs seem to prefer content that’s “entity rich”, i.e. text that includes many related products, topics, and concepts packed together. Mention different related entities clearly and frequently throughout your writing.
- Provide global document context — For longer documents, periodically remind readers (and AI) what the document is about. Include contextual reminders about the article’s main topic, especially in lengthy PDFs or comprehensive guides.
3. Monitor hallucinated URLs
Yes, LLMs hallucinate a lot. Even URLs. So, even if they’re sending traffic to your site, they could be sending visitors to a page that doesn’t exist.
For example, a common hallucinated URL for our site was ahrefs.com/keywords. We write about keywords a lot, so LLMs expect that we have a page like that. But we don’t. So, those clicks are ‘lost’.
You’d want to find these hallucinated URLs with repeated LLM visits and redirect them to actual pages.
Here’s how to find made-up URLs:
- Go to Ahrefs’ Web Analytics
- In the Pages block, click Exit pages and select Possible 404.
This will show you pages that receive visits but have a title containing “404″ or “not found,” suggesting they may not exist.
Look through the list and set up 301 redirects from the hallucinated URLs to the best-fit pages.
4. Optimize for novel training data
LLMs are also trained on data that didn’t impact SEO or that SEOs didn’t care about. Examples include:
- GitHub
- Wikipedia
- Research papers (e.g., arXiv, PubMed)
- Patents
- Books
While your goal is not to spam these sites, if they’re relevant to you in anyway, you’d want to make sure information about your brand on these sites is accurate and consistent. If it’s even possible, make sure it references your brand too (where it makes sense).
5. Plug your entity gaps
Generally speaking, LLMs mention your brand based on their understanding of your entity relationships.
The words used near your brand actually influence LLMs’ understanding of your brand. They’re known as co-mentions.
It’s possible for your brand to have a disconnect between the topics you’d like to be visible for versus the topics you’re actually visible for.
You can use Brand Radar to see your visibility for key topics. You’d want to look for outputs that reference your competitors, but not you, and decide if this is a context you want to be associated with.
For example, let’s say you’re fashion brand Aimé Leon Dore. Enter your brand into Brand Radar and your competitors in the “Your Competitors” section. Then, click on the specific LLM you want to analyze, hover over your brand, and choose “Others only”.
This will show you all the queries that feature your competitors, but not you. You’d want to look through these topics and see if you want to be associated with them.
If yes, we can plug these entity gaps by creating on-site and off-site content about those topics.
6. Avoid too much JavaScript
Most AI crawlers do not render JavaScript.
So, if you have important parts of your website that are entirely JavaScript-based, there’s a high chance that they’re actually invisible to LLMs and will not get cited or included in AI conversations.
Don’t panic though. AI crawlers are ramping up and we’ve seen huge increases in AI bot activity on the Internet.
So, do expect this to change at some point and LLMs will start to render JavaScript. But for now, avoid putting your important pages in JavaScript.
7. Avoid spam
Yes, AI has made content creation infinitely easier and cheaper.
For example, 87% of AI users reported a cost of $0–100 per blog post, compared to 39% of non-AI users.
It’s very tempting for any company to just spam content for every imaginable topic or keyword and hope that they get crawled, indexed, and referenced by LLMs.
But we caution against this for a few reasons.
Firstly, Google is much less susceptible to this type of gaming. They’ve had years of practice filtering out spam content like this. And Google is still by far the most dominant source of traffic for most websites.
Second, even if it “works” right now on LLMs like ChatGPT, it’s only a matter of time before they catch up with this level of sophistication. Especially if they’re going to make RAG their primary method of getting up-to-date information.
Finally, even if you’ve successfully spammed LLMs, what now? The ultimate goal of LLM visibility, like any other channel, is to earn customers.
You might have hit your KPIs internally as the marketing team, but spammy AI content will never get you new business or earn the goodwill, trust, and affinity from people.
To trace your model’s presence in LLMs, you’ll have to make use of a device like Ahrefs’ Model Radar.
Enter your model and also you’ll see all what number of occasions you seem throughout completely different LLMs:
To see the way you’re evaluating in opposition to your rivals, enter their manufacturers within the “Your rivals” part.
To trace what number of guests you’re getting from LLMs or AI search, set up Net Analytics in your web site. You’ll have the ability to see the quantity of visitors you’re getting from AI search:
What about llms.txt?
Don’t trouble.
LLMs already use many of the similar infrastructure serps use to crawl and perceive your content material (e.g. robots.txt). So, there’s no want for one more commonplace like llms.textual content.
There’s merely no present proof that exhibits that utilizing llms.textual content improves AI retrieval, boosts visitors, or enhances mannequin accuracy. And no single LLM has dedicated to parsing it.
Closing ideas
The query isn’t whether or not AI search will change into mainstream—it already is. The query is whether or not your model will probably be a part of the dialog when it occurs.
The excellent news is that lots of the ways for enhancing LLM visibility are constructed on stable search engine marketing and digital advertising fundamentals.
So, though LLM optimization continues to be evolving quickly, we will nonetheless depend on one core precept: construct a terrific model.
