Getting Your B2B Brand in AI Answers – Definitive How-To Guide by

Guest Post by Kliment Stamenkov, Flow Agency

I spent the start of this year working remotely, from Chiang Mai to Buenos Aires, and every marketing leader I met asked me the same question: “How do I get my business found in AI search?”

And it’s the right question to ask. According to G2’s 2026 AI Search Insight Report, 51% of B2B software buyers now start their research with AI chatbots more often than Google, and two thirds go with the vendor that they had already heard of. If your brand isn’t in the answer, you’re not in the consideration set.

The good news is that we now know enough about how answer engines work to grow your brand’s AI visibility. LLM answers are essentially the average of everything that has ever been said about your brand on the internet. Models read the same sources your buyers do: review sites, listicles, forums, social media, blogs. They piece together a picture of your brand and decide whether to recommend you. Here’s how to make that picture work in your favor.

Establish your digital footprint

If you’re a newer brand, or you just haven’t invested in your presence yet, start here.

Begin with your own website, since it’s the one source you fully control. Update and optimize it first, make sure it talks about your brand exactly how you want to be perceived, and start creating content that builds out that messaging. This is the foundation every other source points back to.

Next, sort out your owned social media. Update your existing profiles so the positioning matches your site, and create new accounts on the platforms that matter for your business type and niche. For B2B software that usually means LinkedIn, plus Medium and wherever else your buyers actually hang out.

Then move to review sites and directories. For B2B software, that means getting listed on G2, Capterra, and Trustpilot, and setting up your Crunchbase profile. LLMs love these, and so do buyers.

One thing matters more than being everywhere: consistency. Use the same positioning and the same core message across every profile. LLMs build associations between your brand and the problems you solve, and consistent positioning across sources earns more citations.

Activate your customer base

LLMs love review sites, and so do buyers. In the same G2 report, 45% of buyers said review site citations are the most confidence-inspiring signal in an AI answer.

Most customers won’t leave a review on their own unless you gave them an exceptional experience. So start by creating that experience, then remind them. Build review requests into your onboarding, your QBRs, and your support follow-ups. Where the platform rules allow it, incentivize reviews, but read those rules carefully.

Put your internal champions to work

Your customer success and sales teams talk to customers and partners every day. They can carry your brand’s message across LinkedIn, Medium, Substack, and Hacker News in a way no corporate marketing account can.

Make it easy for them. Prepare resources, talking points, and content they can adapt, and incentivize them if needed. These internal champions become the voice of your brand. With so much AI-generated content out there, people gravitate toward authenticity, and real practitioners sharing real experience is the strongest authenticity signal you have.

Treat Reddit like any other social media channel

Reddit is one of the most cited domains in AI answers, and your customers are already there. Monitor what they say about your brand and what questions they ask about your category.

Then provide value before you market. Answer questions properly, share what you know, and let the brand association follow. Many brands have one Reddit thread from six years ago feeding every LLM right now. If you’re lucky, it’s positive. If you’re not, the only fix is creating newer, better conversations.

HubSpot does this well:

Screenshot of HubSpot’s subreddit

Keep up with trends without burning your site

Last year it was listicles: “best software in your category” pages everywhere, and Lily Ray has covered how Google is finally cracking down on it. This year, much of it is commodity content.

The lesson is twofold. Trends work while they work, and if you ignore them entirely, you fall behind competitors who don’t. But shortcuts don’t survive model updates either. Remember the “summarize with ChatGPT” buttons brands used to inject themselves into users’ AI memory? Microsoft shut that down and labeled it AI recommendation poisoning. Build for the long term.

SEO first. AI visibility follows.

This one is the most important. LLMs run live searches to ground their answers, and 80% of buyers still use Google somewhere in their journey. If you break your organic visibility chasing AI mentions, you disappear from the very sources LLMs retrieve from. Lily Ray has documented how an aggressive GEO strategy can quietly destroy the organic visibility it depends on.

Don’t treat GEO as a replacement for SEO. Get your technical foundation, content, and rankings solid first, and AI visibility will compound on top of it.

Owned content gets you in answers. Votes from other sources keep you there.

Your own content can absolutely earn citations, and the first mover advantage is real. Publish original research, comparison pages, and use-case content to build a foundation for your AI visibility.

Your own content can absolutely earn citations, and the first mover advantage is real. Publish original research, comparison pages, and use-case content to build a foundation for your AI visibility.

Flow Agency’s owned content on our blog

But don’t stop there. LLMs check their answers against third-party sources, and every mention of your brand elsewhere acts as a vote. Your own content may get you recommended today, but without ‘votes’ from review sites, listicles, and communities, you can get dropped tomorrow. LLMs need other sources vouching for you to know you’re the real deal, and that’s what keeps citations stable.

Track, adapt, and get help if you need it

AI search shifts constantly. Models update quietly, competitors launch their own programs, and what got cited last month might not get cited next month. Record the answers LLMs give for your target prompts, compare them month over month, and optimize based on what models value now. This Compare and Optimize approach is what earned my work a shortlist at this year’s European Search Awards for Best Use of AI in Search.

I will be going deeper on all of this in an upcoming webinar, Your B2B Brand in AI Answers, and you can watch my talk on how LLMs form opinions about brands in the meantime. And if you would rather have someone do this for you, that is exactly what we do at Flow Agency.

About the author:

Kliment is an SEO Consultant at Flow Agency, where he grows visibility for B2B SaaS brands across classic and AI search. His work was shortlisted at the 2026 European Search Awards for Best Use of AI in Search. With agency and in-house experience across industries, he focuses on turning organic and AI visibility into pipeline. Connect with him on LinkedIn.