Updated September 3, 2025
LLM has increasingly become crucial for SEO as browsers become more reliant on conversational AI rather than traditional search results. In this blog, we will highlight some of the key practical tips and tricks that you can easily implement to optimize your B2B strategy for LLM traffic. These tips are designed to empower you and make your plan more effective.
You are not getting enough traffic on your website and are wondering why? Or are you new to the B2B market and looking for a successful SaaS content marketing strategy?
Whether you are in the first category or the second one, the core answer is to embrace the potential of LLM traffic. We know that LLM search is still in its early stages, and if you optimize your B2B strategy for LLM traffic, you can tap into a promising future of increased visibility.
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LLM Optimization, aka LLMO, is not just another SEO buzzword anymore. It’s a framework that includes practices of making your content discoverable and trusted by AI-powered systems like:
Unlike traditional SEO, which focuses on boosting website rankings, LLMO ensures your content gets directly cited in AI-generated responses rather than displayed as a search result.
The process by which you want your content to be included in the AI-generated responses is known as GEO, or Generative Engine Optimization.
According to the Grand View Research report, the market for large language models will be worth $35.4 billion in 2030. Between 2025 and 2030, the market is speculated to grow at a CAGR of 36.9%. This high rise in the market has led LLM optimization to emerge as a vital counterpart to traditional SEO. Why?
Here are some key differences between LLMO and traditional SEO:
| Difference Parameter | LLMO | Traditional SEO |
| Content Style |
Conversational, comprehensive, structured for precise AI parsing that includes
|
Keyword-focused, scannable, optimized for rankings. |
| Goal | The goal here is to be featured directly in AI-generated answers or summaries. | Rank higher on search engine result pages (SERPs) to drive clicks to your site. |
| Ranking Signals |
|
|
| Success Metrics |
|
|
If you look at the numbers of Google AI Overviews, around 55% of the Google searches end up having an AI Overview result. Moreover, 58% of Google searches now result in zero clicks. That is just one of the reasons. Here are some more reasons for B2B businesses to invest in LLMO:
When AI systems cite your content as trustworthy and expert-level, it builds credibility among enterprise buyers who value reliable information.
Businesses can easily boost the number of high-quality leads by using an LLMO-favored strategy. According to statistics, B2B companies that use GEO strategies see up to a 37% increase in qualified leads compared to traditional SEO alone.
LLMs, or large language models, are AI systems that understand tone, context, and user behavior. That allows sales teams to send personalized messages without any manual effort. With these re-engagement campaigns at the forefront, B2B brands can witness better open rates, stronger conversions, and shorter sales cycles.
LLMs help teams make better decisions by analyzing complex information. They generate reports that provide clear insights, promoting collaboration among team members. This process ensures everyone understands customer needs and business goals, leading to a more substantial alignment across the organization.
“Large Language Models (LLMs) give a revolutionary approach to automate tasks like document review, legal research, and compliance. However, there are still challenges around intellectual property, data privacy, and bias,” said Alex Davis, Founder of Omni Injury and Accident Law. “For example, legal experts who proactively address these concerns can take their workflows to the next level, increase accuracy, and reduce the time spent on routine tasks.”
LLMO encourages collaboration between digital marketing and product teams, aligning messaging and uncovering real customer pain points to inform both content and product strategy.
Now that you are aware of the demand and benefits of LLMO and its importance, you can optimize our strategy for LLMs. Now let’s see what methods you can implement to help with your B2B strategy:
Entities are places, people, or things linked through relationships in a knowledge graph. Language models (LLMs) and Google use knowledge graphs, along with other methods, to understand your questions about the world.
The structured data markup, or schema markup, plays a vital role in LLM ranking. Bing Copilot officially acknowledges using schema markup for content understanding and selection.
For instance, look at an Organizational schema for the law firm Zehl & Associates Injury & Accident Lawyers to build its Knowledge Graph. At the same time, LLMs leverage this information to connect this brand identity online.
Structured data markup, such as JSON-LD types, includes several aspects, such as
These provide the AI system with a clear, machine-readable blueprint of your content. That clarifies what each part means and how it relates to your brand’s intent and offerings.
In B2B contexts, deploying schemas not only enhances LLMs' interpretability but also boosts your credibility and visibility within AI-generated responses by clearly flagging your value, solution, or insight.
Link building still works for high content ranking in search results, including LLMs, too. Especially for B2B and SaaS brands, it is one of the most effective ways to land in LLMO results as it uses listicles to evaluate the best tools or recommended brands for users quickly. So, if you have a B2B SaaS tool, you can get featured in listicles on reputed and high-quality websites, such as:
Featuring among these listicles can dramatically boost your LLM visibility. You can either pitch expert commentary or data-backed insights to publishers or offer to be included in existing high-value listicles to get featured.
According to Kommo’s stats, brands earning the most web mentions receive up to 10X more AI Overview mentions than competitors and connect with potential customers.
As a B2B business owner, keep in mind that LLMs don’t just aggregate information. These models infer sentiment from public conversations. Therefore, if there are any inconsistent or outdated narratives, they can quickly influence your brand. If your product has negative or outdated reviews on platforms, an LLM may give your brand a bad description.
To stay on top of it, do the following:
If you want to manage your own branding, you can share your expertise using HARO. Here is an example of how I did for SE Ranking on the CMSWire publication:
The best results come from answering questions from journalists who want to include engaging information in their articles that will build a sense of community.
No matter which chatbot, Gemini or Perplexity, the user uses, it is somehow tied to search engines. As a result, the LLM aggregates and summarizes content from top-ranking search results to generate responses.
The close link between large language models and search engines shows a change in how people find information, brands, and websites. Instead of going directly to search engine results, people may use AI-driven summaries more often. This change can alter how websites become visible to users.
Although LLMO is a new direction for digital marketers, there are a few tools available on the market that you can use to monitor your website and your rivals across AI answers. You can try SE Ranking to track any AI brand mentions and measure your online visibility in AI search.
Now, what you can learn from here is that ranking well on search engines is necessary to optimize for LLMOs. Further, SEO plays a key role here. Therefore, if you are doing good SEO, 70% of the work for LLM visibility is already done.
According to the latest statistics, 75% of decision makers on Reddit say that the platform has the most influential perspectives on new B2B business products and solutions. Moreover, if you use the internet daily, you must have seen links to the Reddit website in the results. That started happening after Google integrated AI into the search engine.
Reddit is vital for brand visibility because its content is used to train language models. To succeed on Reddit, brands need to engage genuinely with the community instead of just promoting themselves.
From all of this, if you want to optimize for LLMOs, you must build an authentic brand presence on Reddit. Here are some ways to do it:
Today, it is essential to take care of your brand reputation and presence through different marketing channels, including Reddit. That can boost your chances of being mentioned in LLMs.
LLM optimization depends significantly on crafting content that sounds like it was written for a dialogue (conversational queries like “How can I protect my business from ransomware attacks”), not just search rankings.
Here are several actions for law firm client, Eason Car Accident and Personal Injury Lawyers, that you can consider:
These formats are structured, quotable, and easily extractable, making them favorites for AI-generated answers and summary boxes. It is essential to build content that answers natural language questions and delivers conversational prompts.
B2B businesses can maximize their content’s appeal to LLMs by embedding concise statistics and authoritative quotes. Just like this blog has several stats, stats and quotes in your content can provide verifiable, quotable “fact nuggets” that AI systems can readily extract and surface in responses.
Using quotes from experts helps show that LLMs are trustworthy. This is especially true when the quotes provide unique views or analyze specific situations. Present data in clear tables or visuals with captions and sources to improve interpretability. Make sure to leverage a mix of data types to solidify your claims and signal credibility.
User discussions are an essential source for citing LLMs, but they need to show real value. Discussions become good sources when they share detailed experiences from different people, mention specific challenges, and offer various solutions. User-generated content can include reviews, thread discussions, customer testimonials, success stories, or detailed examples.
The most cited discussions deliver the authenticity and depth that LLMs prioritize. 44% of B2B buyers say peer reviews and UGC are increasingly important in their decision-making process. UGCs can also help boost SEO rankings.
Michael Pines, Founder of Pines Salomon Personal Injury Lawyers, recommends the following:
“As LLM models depend on search engine data and SERPs are ranked based on SEO, UGC can be a great way to optimize for LLM. Therefore, you must encourage customers to share real use cases or feedback on review platforms like G2 or Avvo, industry forums, or your site to optimize for LLM models.”
Do your best to focus on building your UGC strategy. The more UGC content your B2B company has, the more likely it is to appear in AI answers.
As AI-powered tools like ChatGPT, Gemini, and Google AI Overviews reshape how users discover information, LLM Optimization (LLMO) has become a necessary asset for B2B businesses. These platforms don’t just search, but they summarize. And they only cite what’s structured, credible, and conversational.
While traditional SEO remains essential in B2B contexts, LLMO future-proofs your visibility by ensuring AI systems cite your brand as the answer, not just another link on the page. You can think of it this way: SEO can open doors for you, but only LLMO can earn you a place at the table.