Do you know what large language models like ChatGPT are saying about you?
If AI can’t find you, neither can your audience.
Out of sight. Out of market.
Want to know where your brand shows up in AI, where it doesn't, and why?
The LEOPRD Visibility Audit reveals how AI ranks (or overlooks) your brand across platforms like ChatGPT, Perplexity, and Gemini, then gives you the playbook to fix it.
What does a LEOPRD Visibility Audit reveal about your brand?
Visibility Map
See exactly how you show up across ChatGPT, Gemini, Perplexity, Copilot, and other AI models, and where you’re invisible.
Competitor Benchmarking
Uncover how your competitors are capturing share of model, trust signals, and conversion opportunities you’re missing.
Reputation Risk Scan
Identify what AI is saying about your brand, and whether it’s accurate, misleading, or damaging.
Untapped Opportunities
Identify the authority signals and content gaps you can own to shift AI recommendations in your favour and capture demand.
Strategy Session
Sit down with our team to decode your results, prioritise quick wins, and map your path to becoming unmissable.
Action Roadmap
Your complete visibility playbook. A clear plan to strengthen your presence, amplify authority, and convert AI visibility into growth.
LEOPRD Visibility Audit FAQs
LEO (Language Engine Optimisation) ensures AI language models like ChatGPT, Claude, and Gemini understand, define, and represent you accurately when users ask questions about your industry.
You may also see this called GEO (Generative Engine Optimisation), AEO (Answer Engine Optimisation), or AIO (AI Optimisation), these terms describe the same practice of making you discoverable and authoritative in AI-powered search.
When you're optimised for AI visibility, you control how users discover and perceive you through the search tools that are rapidly replacing traditional search engines.
AI doesn’t read ads. It reads authority.
If you rely on paid search or traditional SEO keywords alone, you’re invisible to large language models and generative search engines. AI systems prioritise trusted third-party signals, like media mentions, expert citations, and reviews, not ad spend, when determining who gets cited and who gets ignored.
The shift to LEO means brands now need to optimise for mentions, rather than backlinks. Those with optimised sites are becoming recognised names, referenced in a response, not ranked in endless search results.
Traditional SEO optimises for search engine rankings and getting people to click through to your website. LEO optimises for being cited and represented accurately within AI responses themselves.
When someone asks ChatGPT or Perplexity a question, AI generates a direct answer, there's no list of website links to scroll through. If you're not mentioned in that answer, you don't exist to that user. That's why AI visibility is fundamentally different from traditional search optimisation.
The audit is designed for brands, start ups, founders, marketing leaders and communications teams who want to own, monitor and manage how they are represented across AI language models and generative search, not leave it to chance.
If you're ready to understand and improve your AI visibility and systemically grow authority across ChatGPT, Perplexity, Gemini and other AI powered search ecosystems - audits are the perfect solution.
The audit reveals exactly how AI models currently understand and represent you across major platforms like ChatGPT, Claude, Perplexity, and Gemini. You'll see:
- Whether you're being mentioned when users ask about your industry, category, or solutions
- How accurately AI describes what you do, who you are, and what makes you different
- Where your competitors are being cited instead of you, and why
- Which trust signals (media mentions, citations, reviews) are missing or underperforming
- Specific gaps between how you want to be known and how AI currently represents you
The audit gives you a complete benchmark of your current AI visibility and a prioritised roadmap for improving it.
Each platform has different user behaviours and citation patterns. We analyse the ones that matter most for your visibility goals and show you how to optimise for each. This typically includes ChatGPT, Perplexity, Microsoft Copilot, Google Gemini, Claude, and other emerging AI search tools where your customers and stakeholders are searching.
While we conduct our own research into your company, competitors, industry landscape, and the key questions users are asking in your category, your input helps us focus the audit scope. This normally includes basic information about your goals, marketing objectives and focus areas.
No technical resources, platform access, or development support is required from your side, we handle the entire process.
Most LEOPRD Visibility Audits are completed and delivered within four to six weeks. This timeline includes comprehensive data collection across multiple AI platforms, language model analysis, insight validation, competitor benchmarking, and presentation of actionable findings with our team.
The audit is scoped to your specific needs. During our initial conversation, we'll discuss your goals, competitive landscape, and the depth of analysis required, then provide you with clear pricing based on the scope of work.
You receive a complete audit report with specific, prioritised recommendations for improving your brand's AI discoverability and citations. We interpret the data to ensure it's actionable, and also offer ongoing implementation support and AI visibility management through our Visibility Engine™ retainer. This is optional but recommended for sustained competitive advantage.
That's a strong foundation. The audit shows whether those efforts are translating into AI visibility, and where strategic gaps exist. Many brands doing excellent traditional marketing still aren't appearing in AI responses because they're missing specific signals or citation patterns that language models prioritise.