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About AI Recommended

We Built AI Recommended for a World Where Buyers Ask AI Who to Choose.

B2B technology buyers are increasingly using AI to discover, research and compare companies. We built AI Recommended to help ambitious technology brands become understood, trusted and recommended across that new search journey.

Our job is to build the content, authority, entity and technical signals AI systems rely on to understand who you are, what you’re good at and when they should recommend you.

Why We Exist

Search Changed. So We Built an Agency for What Comes Next.

Search used to mean ten blue links. Today, a buyer can ask an AI platform what product to use, which company to trust or which solution best fits their needs — and receive an answer in seconds.

What determines which brands AI recommends?

AI Recommended was built to answer that question.

We research how AI systems discover, understand, cite and recommend companies — then turn those insights into practical strategies that help B2B technology brands compete for the answers that influence buying decisions.

01

Search Changed

More information. More noise.
Harder to stand out.
All Images Videos News Shopping More
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02

AI Decides What Matters

Understanding intent.
Connecting context across the web.
Context
Intent
Entities
03

Why AI Recommended Exists

Fewer options. Higher intent.
More opportunity.
Recommended
Trusted
Relevant

We built AI Recommended for a world where buyers ask AI who to choose.

Meet the Team

Meet the Team Behind AI Recommended

A specialist team focused on Generative Engine Optimisation (GEO), AI SEO, LLMO and the future of B2B search.

Founder
Marcus Hibbert, founder of AI Recommended

Marcus Hibbert

Founder & CEO

Marcus founded AI Recommended after more than 15 years working in search. Today, he focuses on understanding how platforms such as ChatGPT, Gemini, Perplexity, Google AI Overviews and Microsoft Copilot discover, interpret and recommend companies — turning that research into practical AI Search strategies for B2B technology brands.

Focus
AI Search GEO AI SEO LLM Research
Co-Founder
Fahima Jannath, co-founder of AI Recommended

Fahima Jannath

Co-Founder

Fahima is the co-founder of AI Recommended, with a strong interest in how LLMs understand questions, evaluate information and form responses. Her ongoing experimentation with tools such as ChatGPT helps the team explore how brands can communicate more clearly and build stronger visibility across AI-driven discovery.

Focus
LLM Testing ChatGPT AI Discovery Brand Understanding
Research & Evidence

We Study AI Search at Scale.

Our strategies are informed by continuous testing across the AI platforms B2B buyers increasingly use to discover and evaluate companies.

01
ChatGPT
02
Gemini
03
Perplexity
04
Claude
Commercial Search Behaviour
1,200+
Commercial AI Queries Analysed
We study the commercial questions buyers ask AI systems to understand intent, comparison behaviour and the types of prompts that can influence real B2B buying decisions.
✓
✓
✓
Recommendation Analysis
4,800+
AI Recommendations Studied
We examine which companies AI platforms recommend, the contexts in which they appear and the signals associated with becoming one of the small number of brands surfaced to a buyer.
Citation
Mention
Source
Brand
Authority & Source Signals
12,000+
Brand Citations & Mentions Tracked
We track where brands are cited, mentioned and connected to relevant topics so that visibility is measured as evidence rather than treated as an assumption.
Based on AI Recommended research and testing. Working figures shown above are illustrative until AI Recommended confirms its verified internal totals. Updated October 2026.
Why We’re Different

Built for AI Search. Not Bolted Onto SEO.

AI Search isn’t another service on a long agency menu. It is the problem we specialise in understanding.

01

AI-Native Specialisation

AI Search isn’t another service on a long agency menu. It’s what we specialise in.

AI Search GEO LLMO
02
Testing
Evidence

Real AI Search Data

Our strategies are informed by ongoing testing of how leading AI platforms discover, cite and recommend companies.

Testing Citations Recommendations
03

Built for Your Problem

We focus on the queries, competitors, authority signals and buying journeys that matter to your business.

Queries Competitors Authority Buying Journeys
Our Journey

Into AI Search Optimization

2008 01

Where it all started.

Began building websites and learning SEO fundamentals — the foundation for understanding how digital discovery really works.

Website and SEO beginnings
2011 02

Years of experimentation.

Launched dozens of weird, wacky, experimental websites to understand what ranks, generates traffic, and converts visitors into customers.

Experimentation
2023 03

The AI spark.

Became deeply fascinated by AI and LLMs — and slowly started to realise they were quietly reshaping how people discover, trust, and choose brands.

The AI spark
2025 04

The shift became undeniable.

Observed SEO's gradual evolution into GEO and AEO — the rise of AI-driven discovery. AI Recommended was born to help brands adapt to the new landscape.

AI Search growth
Today 05

Helping brands win the AI search era.

We help forward-thinking companies show up in AI answers and recommendations — giving them first-mover advantage.

AI Search leadership
Who We’re For

Built for UK B2B Technology Companies.

From SaaS and fintech to healthtech, ecommerce infrastructure and AI, we help technology companies compete for visibility across the AI searches influencing their buyers.

01

SaaS

Software companies competing in crowded categories where buyers increasingly use AI to compare platforms and shortlist solutions.

Example category
Platform overview
£84.6k
Active
Verified
02

Fintech

Financial technology brands where trust, authority and clear positioning influence how AI platforms evaluate recommendations.

Example category
Patient monitoring
72 BPM
Live
98% Signal
24 Records
Live Status
03

Healthtech

Technology businesses operating in complex categories where clarity, evidence and trusted third-party signals matter.

Example category
Infrastructure
System status
99.9%
04

AI & Infrastructure

Technical platforms and infrastructure companies that need complex products to be clearly understood, cited and compared by AI systems.

Example category
Beyond these examples: And other B2B technology categories.
Our Philosophy

What We Believe About AI Search.

Five principles that shape how we think about visibility, authority and recommendations in AI-driven search.

01

AI visibility starts with understanding.

AI systems need clear signals about who your company is, what it does and where it belongs.

02

Recommendations have to be earned.

No agency controls ChatGPT. Our job is to strengthen the evidence AI systems can use when deciding what to cite and recommend.

03

Third-party authority matters.

What others say about your brand can be as important as what you say about yourself.

04

Commercial queries matter more than vanity mentions.

We prioritise the searches that can influence real B2B buying decisions.

05

AI Search should be measured.

We track visibility, citations, recommendations and competitor movement rather than relying on guesswork.

The Right Fit

Are We the Right Fit?

AI Recommended isn’t designed for every business. We’re best suited to B2B technology companies that see AI Search becoming an important part of how their market discovers and evaluates solutions.

01
Are you a B2B technology company?
02
Do buyers research solutions like yours online?
03
Are competitors already appearing across AI search?
04
Are you willing to invest in authority beyond your own website?
05
Do you want to build long-term AI visibility rather than chase shortcuts?
If most of these sound like your business, we’re likely a strong fit.

Our focus is deliberately narrow so we can stay specialised in the AI searches, authority signals and recommendation environments that matter to B2B technology companies.

Specialist Fit
Common Questions

Before you reach out

Straight answers to the questions we hear most about AI search, our approach, and how we work.

No. SEO optimizes for search engine rankings; GEO optimizes for whether AI assistants cite and recommend you inside a generated answer. Related, but measured differently.

We focus exclusively on UK B2B technology companies — SaaS, fintech, martech, and AI infrastructure — so our benchmarks stay relevant to who we actually serve.

A 100-point scorecard measured across ChatGPT, Claude, Gemini, and Perplexity, re-run through your programme so movement is visible, not assumed.

The Sprint tier is backed by a money-back guarantee, and every longer tier has a built-in exit point — you're never locked into a full year upfront.

How We Got Here

AI Recommended was born after watching countless brands lose visibility overnight as AI systems quietly reshaped how people search. Since 2023, we've focused on understanding how LLMs absorb information, judge credibility, and choose which businesses to feature in responses. Now, we work with companies to strengthen the signals AI relies on — ensuring they stay discoverable, not replaced, in an AI-driven world.

Ready to see where you stand?

Explore the resources that got us here, or check how ready your website is for AI-driven discovery.

Explore AI SEO Resources
Your AI Visibility

When Your Buyers Ask AI, Find Out Where You Stand.

See where your brand is mentioned, cited and recommended across the AI searches that matter — and where competitors are winning instead.

Book AI Search Strategy Call
Understand your current position before deciding what to improve.