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We help your brand rank higher in AI-powered search results using SEO strategies built for the new era of search.
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LLM visibility isn't luck — it's a system. Here's how we engineer your brand into the answers AI models generate.
01
We audit how LLMs currently understand your brand — what they associate it with, where the gaps are, and what competing entities are displacing you. This becomes the foundation for everything we build.
02
JSON-LD, FAQ markup, product schema. We implement the signals that make your content extractable and citable by AI models — not just readable by humans.
03
We rewrite and restructure your highest-value pages so LLMs can parse, summarise, and cite them accurately. Clear entities, defined relationships, and answer-first formatting throughout.
04
Earned brand mentions, data citations, and third-party references are the strongest signals LLMs use when selecting sources. We build them systematically, in the places that matter.
Customer · Kurve
"MADX is a top player in the premier league. Constantly delivering value above and beyond high quality execution. They help shape our strategic thinking impacting our entire inbound marketing engine."
Oren Greenberg
Co-founder - KURVE
We start by mapping how LLMs currently understand your brand — what they associate with it, how accurately they describe your product, and where competitor entities are crowding out your visibility. This becomes the baseline everything else is built on.
We implement structured data — JSON-LD, FAQ markup, product schema, and entity relationships — that makes your content extractable and citable by AI models. Technical SEO gaps that block AI crawlers are identified and fixed in parallel.
We restructure and create content specifically for LLM consumption — clear entity definitions, direct answers, structured comparisons, and authoritative explanations that AI systems can parse, summarise, and attribute to your brand with confidence.
We build the third-party signals LLMs weight most heavily — brand mentions in authoritative publications, data citations, expert contributions, and earned references in the sources AI models are trained on and retrieve from.
Pipeline-tied reporting. Real numbers, real attribution, real outcomes.
WHY MADX?
The economics, speed and depth of an agency - without the bloat. We work as an extension of your team, not a vendor.
All-in-one team
Strategy, content, links, GEO — one roster, one Slack.
Real expertise
Senior practitioners on every account. No juniors learning on you.
Live reporting
Always-on dashboards tied to revenue, not vanity.
Built for SaaS
We only work with SaaS — so we move fast.
Perry Steward
Co-founder - MADX Digital
"We started MADX Digital because no agency was treating AI search like the structural shift it is. We're rebuilding the playbook for SaaS, and we'd love to show you ours."
Every engagement starts with a scoping call so we can confirm fit, timeline, and the right mix of technical, content, and authority work. No surprise scope, no bait-and-switch.
01 / 03
Scoping call
15-min call. We’ll listen, ask sharp questions, and tell you honestly if we’re the wrong fit.
02 / 03
Choose your fit
90-day sprint, monthly retainers or something custom. Starting from $2,500 /mo.
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start the work
Onboarding wraps in 2-3 weeks. First deliverables ship before the end of month one.
Have more questions? Reach out to our sales team or schedule a call with our growth team
LLM optimisation is the process of making your brand consistently visible in AI-generated answers across platforms like ChatGPT, Perplexity, and Google AI Overviews. It combines entity optimisation, structured content, schema markup, and off-site authority building to ensure AI models understand, trust, and cite your brand accurately.
We optimise across the major AI-driven search and answer platforms: ChatGPT, Perplexity AI, Google AI Overviews, Google AI Mode, and Gemini. The signals that drive visibility across these platforms — entity clarity, structured content, and third-party authority — overlap significantly, so improvements compound across channels.
It builds on your existing SEO rather than replacing it. Strong technical SEO and content are prerequisites — but LLM visibility requires additional layers: entity graph work, schema specifically designed for AI extraction, and off-site citation building that traditional SEO doesn't prioritise. We run both in parallel.
Entity and schema changes can affect AI visibility within weeks. Content and citation signals typically take 2–4 months to compound into consistent appearances in AI-generated answers. Our 3-month launch programme is designed to establish the foundation and deliver measurable early visibility gains.
Month 1 covers the entity audit, technical schema implementation, and content gap analysis. Month 2 focuses on content restructuring and AI-optimised page creation. Month 3 activates off-site citation building and begins monitoring your share of AI-generated responses. At the end of 3 months, you have a functioning AI visibility programme — not just a report.
After launch, we offer 6 and 12-month continuation programmes focused on scaling citation building, expanding content coverage, and maintaining visibility as AI platforms evolve. Brands that stay in the programme consistently expand their share of AI-generated responses over time.
We track brand appearance rates across target queries on key AI platforms, benchmark share of voice against competitors, and monitor entity recognition accuracy. We combine proprietary tracking tools with manual sampling to give you a reliable picture of how AI models are representing your brand.
Learn more about our services and what MADX Digital can offer.
Free GEO audit and a 30-min teardown of your current AI visibility. No pitch, no commitment.
