How We Optimize Your SaaS Brand for AI Search and LLM Visibility

Entity mapping and brand signal audit

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.

On-site schema and technical optimisation

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.

AI-optimised content strategy

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.

Off-site citation and authority building

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.

What our customers think

Rated 4.9/5 by our clients

Dennis Kelly

Postalytics

"Introducing the team at MADX into our SEO strategy has been a life saver. With their research & writing, we now consistently rank in Google for ICP-specific queries."

Arthur Zargaryan

Parcel Tracker

"My main priority is to grow our businesses revenue. MADX has been fundamental to growing our user acquisition through SEO, which hugely impacts our bottom line."

Kyle Gray

RCCO

"MADX were incredibly responsive to our needs, always accommodating requests with ease, and nothing ever felt like too much trouble. Working with them was a seamless and positive experience."

Philip Werner

Maekersuite

"MADX Digital has been instrumental in our growth, delivering consistent results week after week. Their effective SEO strategies have helped us acquire over 10,000 end users."

Ryan Shallenberger

Reveille

"MADX delivered on time, handling everything from research and writing to editorial and imagery. Their content production made a real impact on our marketing efforts."

Oren Greenberg

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 content marketing engine."

Frequently Asked Questions

Have more questions? Reach out to our sales team or schedule a call with our growth team

What does AI and LLM optimisation actually involve?

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.

Which AI platforms do you optimise for?

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.

We already do SEO — is AI optimisation separate or part of that?

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.

How long does it take to appear in AI search results?

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.

What does the first 3 months look like?

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.

What happens after the initial 3-month engagement?

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.

How do you measure AI search visibility?

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.

LLM Optimization for SaaS Brands

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How it works

Discovery Audit

Growth Planning

Project Launch

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