AI visibility that gets your brand mentioned, recommended, and trusted.

Search users now rely on AI-generated answers, and the brands earning mentions in those answers are capturing customers before they ever reach a website, get served an ad, or see a search results page.

Trusted by top marketing teams

Who are our certified partners?

Platform partners

1st Place Winner

SEMrush AI Visibility Awards 2025 for work on Microsoft Github

Who is this built for?

Brands racing to lead AI search.

You want to get ahead of AI search before competitors establish the citations and authority.

You don’t know whether your brand is being mentioned, cited, or misrepresented in ChatGPT, Gemini, Perplexity, or Google AI Mode, and you have no framework in place to measure the impact of those mentions.

You know AI visibility requires more than on-site changes but don’t have a clear way to coordinate your website, owned channels, and earned presence into a single strategy, or the tools to activate across all of them at the speed and scale the opportunity demands.

How do I unlock the next stage of growth?

Win the AI-first discovery moment.

AI Overviews have led to a 30% decrease in clicks from Google results. Agentic AI is handling research, comparisons, and evaluations on behalf of consumers, with a human of high intent prompting the work. And 73% of consumers who use AI for shopping cite it as their primary source of product research.

The brands winning in this environment are earning mentions in AI-generated answers, building authority across the third-party sources that LLMs draw from, and ensuring the information those platforms surface about them is accurate and favourable. That requires collaboration across SEO, PR, brand, organic social, and product teams, and most organisations aren't set up for it yet. We put the frameworks in place to make it happen, and the brands that move now have a genuine first-mover advantage.

What results can I expect?

Category-leading AI visibility.

See customer stories

GitHub's AI visibility was fragmented, hard to measure, and underperforming relative to its market dominance. Brainlabs built a scalable system to consolidate fragmented properties, optimise for both traditional search and AI discovery, and establish GitHub as the authoritative source across LLM platforms.

Microsoft GitHub

+400%

year-over-year site traffic growth to marketing pages.

29%

LLM visibility, leading the category.

1st

place SEMrush AI Visibility Awards 2025.

How we do things differently

Three layers, not just your website.

We optimise across three layers, not just your website.

60% of AI Overview citations come from URLs not ranking in the top 20 organic results, and 85% of brand mentions originate from third-party pages rather than owned domains. Winning AI visibility requires work across your website, your owned channels including YouTube and Digital PR, and your earned presence across community platforms, forums, and third-party publications. We build a strategy across all three.

We reverse engineer your organic media mix.

Rather than guessing which content and sources drive AI citations, our Digital Signals Analyzer surfaces billions of real-time search and social signals to identify the exact domains, content types, and topics being cited for your most important prompts. We layer in AI-powered content analysis to evaluate how well your existing content aligns with what LLMs are rewarding, then prioritise your investment based on volume, competitive gap, and what is realistically winnable, so resource goes to the work most likely to move your citation rate.

We measure what others can't, and we're honest about what we don't yet know.

AI visibility measurement is genuinely hard. Prompt data is probabilistic, every query is distinct, and results shift constantly. We track mentions, citations, citation rate, LLM referral traffic, and brand sentiment across platforms, paired with GA4 and traditional SEO KPIs, so you have directional confidence even in a landscape that keeps moving.

What your first 90 days look like

Audit, engineer, expand.

Audit and diagnose.

We conduct a full AI visibility opportunity assessment across your website, owned channels, and earned presence. Using our Cortex AI Digital Signals Analyzer, which processes billions of search and social signals in real time, alongside SEOclarity's Arc AI, we identify which prompts your brand should be appearing on but aren't, which competitors are earning those citations instead, and where the biggest gaps are across your three visibility layers. We run AI-driven content analysis using Claude to evaluate your existing assets against the content patterns LLMs are citing, so we know exactly where your content is strong, where it's misaligned, and where it doesn't exist yet. We establish your baseline measurement framework covering mentions, citations, LLM referral traffic, and sentiment across ChatGPT, Gemini, Perplexity, and Google AI Mode.

Engineer and build.

We implement the technical fixes that allow AI crawlers to access and index your most important content, including sitemap optimisation, structured data, schema, and LLMs.txt. We use embeddings analysis and AI content scoring to align your content with what AI platforms are rewarding in answers for your key prompts. NeuroGen accelerates the creation of optimised on-site elements at scale, from structured data and schema to llms.txt and .md files that help answer engines digest and cite your content. AmplifAI begins building off-site authority through Digital PR, with its Research Agent tapping directly into Digital Signals Analyzer data to identify emerging trends and validate newsworthiness before outreach begins, reducing campaign execution time by 40%.

Expand, optimise, and measure.

BrainBriefs powers a hub-and-spoke content model mapped to your most important prompts and funnel stages, generating content briefs at the speed and scale needed to close citation gaps faster than manual processes allow. Each brief is informed by Digital Signals Analyzer trend data and validated against AI content analysis benchmarks, so every piece of content is built to earn citations from day one. We monitor sentiment and accuracy across community platforms, correcting misrepresentation where it appears. Every activation is tracked against your measurement framework and refined based on what the citation and referral data tells us is working.

Where can I learn more?