UK's First AI Brand Visibility Intelligence Platform

See It. Measure It.
Own Your Brand in AI.

AI Brand Visibility Intelligence tracks, verifies, and improves how your brand is represented inside ChatGPT, Gemini, Perplexity, and Claude giving marketing teams the intelligence to outrank, outshine, and outperform in the generative AI era.

AI Brand Visibility · Live Engine

Brand Intelligence Dashboard

LIVE

SV

Share of Voice ChatGPT 32%

MT

AI Mentions This Month 24.8K

SD

Sentiment Score 85% ✓

DR

Drift Alerts Detected 3 Flagged

BT

Brand Truth Accuracy 100%

92

Visibility Score

AI Governed · Trust Verified

The AI Discovery Crisis

Brands Are Losing Control of
Their Reputation in AI Answers.

As users pivot from Google to ChatGPT, Gemini, and Perplexity, brands can no longer rely on keyword rankings. Their commercial success now depends on how accurately and prominently they are represented in AI-synthesised answers. Most organisations have zero visibility into this.

£260M

Total UK addressable market across e-commerce, agencies, B2B SaaS & enterprise brands

26%

Of marketing budgets wasted on ineffective channels due to lack of AI visibility intelligence

4+

Major AI platforms (ChatGPT, Gemini, Perplexity, Claude) all giving different brand answers

78

Active clients needed to achieve £1M ARR at our weighted average ARPU of £12,800/year

Core Intelligence Engines

Five Engines. One Complete AI Brand Intelligence Platform.

AI Brand Visibility Intelligence combines answer-layer mapping, factual verification, reputation drift detection, citation intelligence, and prompt-variance stress testing into one unified SaaS platform no-code, real-time, data-driven.

Engine 01

Answer-Layer Brand Representation Mapping (ABRM)

Evaluates narrative placement, comparative framing, and contextual prominence within synthesised AI answers not just tracking mentions but analysing representation.

The ABRM analyses how your brand appears in the context of AI-generated responses: whether you are recommended first, described accurately, and framed favourably compared to competitors. Generates actionable Visibility Scores from every prompt query.

Engine 02

Brand Truth Verification Model (BTVM)

Automatically checks AI-generated claims against verified brand data pricing, features, policies transforming brand governance from passive monitoring to active fact-verification.

The BTVM catches AI hallucinations and outdated brand information before they damage customer trust. If ChatGPT quotes the wrong price or Gemini attributes an incorrect policy, the BTVM flags it immediately with evidence-based remediation recommendations.

Engine 03

AI Reputation Drift Detection Engine (ARDDE)

Detects the gradual divergence between a brand's real-world positioning and the distorted or biased version represented by AI systems over time.

The ARDDE monitors longitudinal shifts in brand perception across all major LLMs, alerting you when AI answers begin diverging from your authentic brand narrative. Tracks drift monthly, quarterly, and annually to provide a full reputation health timeline.

Why AI Brand Visibility

Built for the AI Discovery Era.
Not Just SEO with an AI Badge.

Answer-Layer Focus

Analyses synthesised AI narratives not just keyword rankings or web traffic. We measure how AI engines represent your brand in the answer itself, the layer that now drives commercial decisions.

Factual Verification Layer

Includes a dedicated Brand Truth Model that cross-checks AI claims against verified commercial data. Manages the factual risk that generic tools completely ignore.

Drift Detection

Longitudinally monitors reputational shifts across AI models and time. Identifies "AI reputation drift" before it damages customer trust and purchase decisions.

Citation Influence Graph (CIGAD)

Maps the upstream content ecosystem identifying which specific domains, forums, and publishers disproportionately shape the answers synthesised across different AI models.

Prompt-Variance Stress Testing

Uses systematic semantic variations to measure how stable your brand's visibility is across different query phrasings creating a resilience profile for generative discovery.

KPI-Style Reporting

Converts complex AI transcripts into actionable Visibility and Trust Scores. Marketing teams move from manual analysis to prioritised recommendations in a single dashboard.

About Us

Built by Digital Marketing Specialists.
Designed for the AI Era.

AI Brand Visibility Intelligence is a UK-based SaaS venture founded by Muhammad Saleh and Zulkarnain Hyder combining deep expertise in SEO, performance marketing, and AI to solve the most pressing challenge facing brands today: losing control of their reputation inside AI-generated answers.

Vision & Mission

To Be the Global Standard for
AI-Mediated Brand Analytics.

Our Vision

To be the global leader in AI-mediated brand intelligence ensuring every brand is accurately represented and discoverable in the generative era. As AI interfaces become the mainstream layer for discovery, we ensure businesses lead with accuracy, not guesswork.

Our Mission

To provide businesses with the infrastructure to measure, monitor, and master their visibility and trustworthiness inside AI-generated answers. We transform brand governance from passive observation to active fact-verification and systematic narrative management.

Our Founders

The Team Behind
AI Brand Visibility

MS

Muhammad Saleh

Founder · CEO

Digital Marketing Specialist with over 3 years of experience in SEO, PPC, and content strategy. Holds an MSc in Digital Marketing and a BSc in Computer Science uniquely combining technical web proficiency with marketing acumen. Delivered 3.5x ROAS and 50% organic traffic growth for previous clients. Deep understanding of how brands compete for visibility and where current tools fail to address AI-mediated discovery.

MSc Digital Marketing BSc Computer Science SEO / PPC Specialist GA4 & SEMrush

ZH

Zulkarnain Hyder

Co-Founder · Product Manager

Key architect of the venture's vision, bringing a practical commercial perspective to the AI Brand Visibility Intelligence platform. Responsible for the conceptualisation of the "new category of software infrastructure" addressing AI-mediated discovery. Co-developed the integrated framework for Multimodal Campaign Intelligence Fusion and the Brand Truth Verification Model. Ensures the platform solves real-world seller and marketing pain points not just theoretical AI research.

Product Vision Brand Truth Model AI Answer Engine Strategy

Full Platform

Five Intelligence Engines.
One Brand Command Centre.

Every feature is built specifically for the generative AI era not retrofitted from legacy SEO tools. Our proprietary scoring systems translate complex AI behaviours into actionable commercial KPIs that marketing teams and agencies actually need.

Engine 01 · ABRM

Answer-Layer Brand Representation Mapping

Evaluates how your brand is narratively positioned in AI-generated answers measuring contextual prominence, comparative framing, and citation accuracy across ChatGPT, Gemini, Perplexity, and Claude.

Unlike basic mention tracking, ABRM analyses the quality of brand representation: are you described accurately? Are you recommended favourably compared to competitors? Does the AI answer reflect your actual value proposition? Every prompt run generates a structured Visibility Score with improvement recommendations.

Engine 02 · BTVM

Brand Truth Verification Model

Automatically checks AI-generated claims against your verified brand data pricing, features, policies, service coverage transforming brand governance from passive monitoring to active fact-verification.

The BTVM is your brand's factual firewall against AI hallucinations. It maintains a structured "Brand Truth" data model that every AI answer is cross-checked against. When inaccuracies are detected, the system identifies the upstream source and provides remediation guidance to correct the AI narrative pipeline.

Engine 03 · ARDDE

AI Reputation Drift Detection Engine

Detects "AI reputation drift" the gradual divergence between a brand's real-world positioning and the distorted or biased version represented by AI systems over time.

Brands evolve. AI models don't always keep up. The ARDDE monitors longitudinal shifts across all connected LLMs flagging when AI answers begin diverging from your brand narrative. Monthly drift reports give marketing teams an early warning system before reputational damage reaches consumers.

Engine 04 · CIGAD

Citation Influence Graph for AI Discovery

Maps the upstream content ecosystem identifying which specific domains, forums, publishers, and knowledge bases disproportionately shape the answers synthesised across different AI models.

The CIGAD answers the critical question: "What content is shaping how AI describes my brand?" By mapping the citation influence graph, brands can identify which third-party sources to collaborate with, which misinformation pipelines to address, and where to invest content strategy for maximum AI answer impact.

Engine 05 · PBVST

Prompt-Variance Brand Visibility Stress Testing

Uses systematic semantic variations to measure how stable your brand's visibility is across different query phrasings creating a resilience profile for generative discovery. Ensures brand representation holds up regardless of how a user phrases their AI question.

The same brand can receive very different AI treatment depending on query phrasing. PBVST runs hundreds of semantic variations of key brand queries to stress-test visibility stability. The output is a Prompt Resilience Score telling you how robust your brand is to query variation and where you are most vulnerable to representation gaps.

Competitive Advantage

How We Compare to
Legacy SEO Tools

Traditional SEO tools were built for keywords and backlinks. They cannot analyse the answer-level synthesis or factual inconsistencies inherent in generative AI outputs.

Feature	AI Brand Visibility	Traditional SEO Tools	AI Content Assistants	Brand Mention Trackers
Core Technology	Answer-layer mapping (ABRM) + BTVM	Keyword & backlink crawling	LLM text generation	Web & social scraping
Primary Function	Brand representation in AI answers	SERP rankings & web traffic	Content creation support	Mention frequency & sentiment
Factual Verification	✓ Brand Truth Model (BTVM)	✗ None	✗ None	✗ None
Drift Detection	✓ ARDDE Engine	✗ None	✗ None	✗ None
Citation Source Mapping	✓ CIGAD Graph	Backlink mapping only	✗ N/A	✗ N/A
Multi-LLM Coverage	✓ 4+ Platforms	✗ None	Single model	✗ None
Compliance Alignment	Accuracy & Trust focused	Search traffic focused	N/A	Reputation focused

Market Analysis

A £260M UK Opportunity
Growing Exponentially.

The shift from keyword-based search to intent-based generative AI is a paradigm shift affecting every digital-first business. Brands worldwide now require "Synthetic Share-of-Voice" analytics to understand their presence in narrative-driven AI outcomes a market that did not exist 3 years ago.

UK AI Brand Visibility Market by Sector

Annual TAM breakdown across core target segments

AI Visibility Gap Why Brands Need Our Platform

Key pain points driving adoption across UK businesses

Competitive Intelligence Radar

Platform capabilities vs. existing market alternatives

AI Marketing Tech Market Growth 2022–2030

Global market growth + UK AI adoption trajectory

Platform Feature Comparison AI Brand Visibility vs. Market Average

Capability scores across key intelligence dimensions (out of 100)

Financial Projections

5-Year Revenue Trajectory

£69K

Year 1 Revenue 15 active clients · MVP Launch · Month 7 first revenue

£279K

Year 2 Revenue 25 active clients · Agency tier launched · £76K net profit

£1.05M

Year 3 Revenue 105 active clients · £1M ARR milestone · EU expansion begins

£3.14M

Year 5 Revenue 226 active clients · £891K net profit · Global platform leader

How It Works

From Reactive Monitoring
to Proactive Brand Intelligence

AI Brand Visibility operates as a closed-loop brand intelligence lifecycle capturing, scoring, verifying, and continuously evolving your brand's presence inside AI-generated answers so every marketing decision is grounded in real AI intelligence, not guesswork.

The 6-Phase Intelligence Lifecycle

A Complete Brand Intelligence Loop Not Just a Dashboard

Phase 01 · Assess

Establish Your AI Brand Visibility Baseline

AI Brand Visibility ingests your brand data products, pricing, policies, USPs to build a comprehensive "Brand Truth Model". Then runs your first set of prompt queries across ChatGPT, Gemini, Perplexity, and Claude to establish your baseline Visibility and Trust Scores.

The Assessment phase surfaces the hidden cost of unmanaged AI representation giving you a precise, data-driven view of your current AI presence before any strategy is deployed.

Automated Brand Truth Setup Baseline Visibility Report Zero Code Required

Phase 02 · Monitor

Real-Time Brand Monitoring Across All AI Platforms

The Monitoring Engine runs continuous prompt sets across all connected LLMs tracking how your brand is mentioned, positioned, and described in AI answers on a daily basis. Automated alerts flag factual inaccuracies and representation gaps the moment they are detected.

Think of it as a 24/7 brand safety team watching every AI answer about your business objective, continuous, and immediately actionable.

Live Brand Dashboard Automated AI Alerts Multi-LLM Tracking

Phase 03 · Verify

Brand Truth Verification Catch AI Errors Before They Spread

The BTVM engine cross-checks every AI-generated claim about your brand against your verified data model. Outdated pricing? Wrong feature descriptions? Misattributed policies? The BTVM catches them all and generates correction guidance for your content and PR teams.

Automated Fact-Checking Correction Recommendations

Phase 04 · Optimise

Identify Content Gaps & Upstream Source Opportunities

The CIGAD engine maps which specific domains, forums, and publishers are currently shaping how AI models describe your brand. This reveals the exact content investment opportunities that will shift AI narratives in your favour turning citation intelligence into practical marketing action.

Citation Influence Mapping Content Gap Analysis

Phase 05 · Stress Test

Prompt-Variance Resilience Testing Ensure Stable Brand Visibility

PBVST runs hundreds of semantic variations of key brand queries to test how stable your visibility is across different phrasings. Generates a Prompt Resilience Score showing exactly where brand representation breaks down and where it holds strong.

Query Variation Testing Resilience Score Report

Phase 06 · Report

KPI-Style Reporting From Data to Strategic Decisions

Every insight is delivered as a prioritised, KPI-style report not raw AI transcripts. Marketing teams and agencies receive Visibility Scores, Trust Scores, Synthetic Share-of-Voice metrics, and ranked action items ready for immediate deployment. White-label reporting is available for agencies managing multi-client portfolios.

Visibility & Trust Scores White-Label Agency Reports Prioritised Action Items

FAQ

Frequently Asked Questions

Everything you need to know about AI Brand Visibility Intelligence and what it means for your brand in the generative AI era.

What is AI Brand Visibility Intelligence and why do I need it?

+

AI Brand Visibility Intelligence is the practice of monitoring and improving how your brand is represented inside AI-generated answers from platforms like ChatGPT, Gemini, Perplexity, and Claude. As users shift from traditional search engines to AI platforms for discovery and purchase decisions, brands that lack visibility in AI answers are effectively invisible to a growing proportion of their potential customers. AI Brand Visibility provides the infrastructure to measure this visibility, verify factual accuracy, and improve brand representation systematically.

How is this different from traditional SEO tools like SEMrush or Ahrefs?

+

Traditional SEO tools were built for the era of keyword rankings, backlinks, and SERP positions. They cannot analyse how AI systems synthesise information about your brand, detect factual inaccuracies in AI answers, or map the citation sources that influence AI-generated narratives. AI Brand Visibility operates at the answer layer the AI-generated response itself which is an entirely different analytical domain that legacy SEO tools are architecturally incapable of addressing.

Which AI platforms does AI Brand Visibility monitor?

+

The platform currently monitors ChatGPT (OpenAI), Gemini (Google), Perplexity AI, and Claude (Anthropic). The modular architecture is designed to integrate new AI models as they emerge, ensuring the platform remains relevant as the generative AI landscape evolves. Enterprise clients can request custom model integrations based on their specific market exposure.

What sectors does AI Brand Visibility serve?

+

Our platform is purpose-built for UK e-commerce and D2C brands, digital marketing and SEO agencies, B2B SaaS and technology companies, and enterprise brand managers. The platform's sector-specific modules are tailored to the unique AI visibility challenges of each segment from product pricing accuracy for e-commerce to competitive service comparisons for B2B SaaS. High-stakes sectors like healthcare and financial services can access specialist Industry Modules with enhanced factual verification.

Is AI Brand Visibility GDPR compliant?

+

Yes. AI Brand Visibility is architecturally designed to comply with UK GDPR and ICO guidelines. All brand data is processed via secure, anonymised pipelines in UK-based data centres. The platform adheres to ISO/IEC 27001 standards for information security management and implements zero-trust architecture with AES-256 encryption for all brand-specific training data. Full transparency logs are maintained for all AI-generated insights and automated recommendations.

What is "AI reputation drift" and why does it matter?

+

AI reputation drift is the gradual divergence between a brand's real-world positioning and the distorted or biased version represented by AI systems over time. As AI models are trained on historical data, they can perpetuate outdated, inaccurate, or misleading brand information even after a brand has updated its products, pricing, or public positioning. Left unchecked, AI reputation drift directly damages customer trust, conversion rates, and brand equity in the growing proportion of purchase journeys that now involve AI-mediated discovery.

How do I get started with AI Brand Visibility?

+

Getting started is simple no code required. After signing up for your chosen plan, you complete a Brand Truth Model setup (approximately 30 minutes) where you input your verified brand data. The platform then automatically runs your first visibility assessment across all connected AI platforms and delivers your Baseline Report within 24 hours. Onboarding includes a structured walkthrough from our customer success team to ensure you extract maximum value from your first session.

Pricing

Simple, Transparent Plans
for Every Business Size

From UK SMEs to global enterprise brands AI Brand Visibility has a plan designed for your AI brand intelligence needs. All plans include a 14-day free trial with no credit card required.

Growth

Growth Tier

£499/mo

For UK e-commerce and D2C brands needing core AI brand visibility tracking and accuracy monitoring.

Unified AI visibility dashboard
Brand Truth Verification (BTVM)
Visibility & Trust Scores
Monthly Reputation Drift Report
ChatGPT, Gemini, Perplexity, Claude
Automated accuracy alerts
Standard onboarding support

Common Questions About Our Plans

Is there a free trial available?

+

Yes all plans include a 14-day free trial with no credit card required. We also offer a Free Pilot Access programme for select early-adopter e-commerce brands and agencies who are willing to participate in initial platform validation and provide feedback. Apply via the contact form to be considered.

What is included in the weighted ARPU of £1,066/month?

+

Our weighted Average Revenue Per Customer (ARPC) of £1,066/month reflects the blended revenue across our tier distribution: 45% Growth (£499), 35% Agency (£1,249), 15% Enterprise (£2,500), and 5% Industry Modules (£599). The annualised ARPC of approximately £12,800 means we need just 78 active clients to achieve £1M ARR a highly achievable target given our UK addressable market of 30,000+ relevant businesses.

Can agencies white-label the platform for their clients?

+

Yes Agency Tier and Enterprise Tier plans both include white-label reporting capabilities. Agencies can present AI visibility reports, Trust Scores, and Synthetic Share-of-Voice metrics under their own branding. The Agency Tier includes multi-client dashboards allowing a single agency account to manage dozens of client brand profiles simultaneously making it the most commercially leveraged plan for SEO and performance marketing firms.

Get in Touch

Request a Demo or
Start Your Free Trial

Speak with our team to see how AI Brand Visibility can transform your brand's presence inside AI-generated answers. Demos are tailored to your sector and show your actual Visibility Score live.

Why Book a Demo?

Our personalised demos show your brand's actual Visibility Score across ChatGPT, Gemini, Perplexity, and Claude live, in real time. No slides. No hypotheticals. Just your brand data, right there in the dashboard.

Email Us aibrandvisibilityuk@outlook.com

UK Headquarters London, United Kingdom · UK GDPR Compliant

Response Time Within 24 hours · Mon–Fri 9am–6pm GMT

Data Privacy UK GDPR · ISO 27001 · BTVM Secured

Pilot Programme

Interested in validating the platform? Apply for our free pilot programme available to select UK e-commerce brands and digital agencies during our launch phase.

See It. Measure It. Own Your Brand in AI.