LLM Consulting and
Generative Engine Optimisation

We transform your brand into a trusted source within AI-generated answers.

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Crisis Response Content Campaign of the Year 2024

Multi-Territory Agency of the Year

Why LLM Visibility Matters More Than Ever

Search behaviour is changing fast. Users are no longer relying solely on classic Google search, instead they are turning to AI-driven tools like ChatGPT, Gemini, Perplexity, and even Google’s AI Overviews to find answers. The challenge? These systems don’t “rank” pages the way Google once did. Instead, they reference brands, entities, and content they already “know” and trust. For businesses, this shift is critical:

AI Overviews are already costing websites traffic, as users get their answers directly without clicking through.

If your brand isn’t recognised and connected in these new AI ecosystems, you risk becoming invisible at the moment of decision-making.

In short: If AI can’t see you, your customers probably wont either.

What We Do

Peak Ace empowers organisations to become visible, verifiable, and valued within AI-generated answers — where trust, context and authority determine who gets cited. As traditional search declines and AI chatbots like ChatGPT, Gemini, and Perplexity dominate discovery, we help brands earn their place in the knowledge architecture of both humans and machines.

Our LLM consulting is built on a deep understanding of how generative AI reshapes user journeys, visibility logic, and brand relevance. We strategically position organisations to be discoverable, referenced, and recommended in LLM-powered environments, across both open-domain systems (e.g. ChatGPT, Claude, Gemini) and vertical tools (e.g. AI Overviews, DeepSeek, Llama).

Our Strategic LLM Consulting Pillars

Our proven 4-stage system to structure, track, analyse, and optimise your content for the age of generative search:

Prompt

Establish a sentralised promopt base in Peec AI, structured by business unit, topic and intent
Develop prompt clusters aligned with strategic content themes and user journeys
Tag prompts by search intent, funnel stage and LLM query types
Use Search Console, AI Overview insights and model output reviews to populate and update prompts
Map prompts to existing and planned content assets to track visibility

Monitor

Monitor brand and topic mentions in LLMs (ChatGPT, Perplexity, SGE, Claude, etc.)
Track visibility across AI Overview, Featured Snippets, and SERP features
Benchmark presence across comptitors and content categories
Review source citations in AI tools and whether your content is included
Monitor visibility in different model environments (open-domain vs. vertical tools)
Track sentiment and topical association by business unit and content type

Analyse

Utilise large prompt data sets to conduct quantitative analysis
Analyse AI snapshots and retrieved source data to assess content match
Identify content coverage gaps based on LLM outputs vs. intent maps
Evaluate semantic density, trust signals, and citation likelihood

Optimise

Optimise content based on findings from LLM visibility audits (e.g. SGE, ChatGPT, Perplexity)
Structure content to improve inclusion and ranking in AI-generated answers
Enrich content using entity-based exmapnsions, FAQs, and authoritative signals
Use schema markup and structured data to support better LLM understanding and retrieval
Optimise page structure and UX to ensure crawlability and high-quality source signals

Who Should Act Now?

Digital Marketing Leaders

redefining their visibility strategy

SEO Professionals

preparing for the next iteration of search

Communications Teams

aiming to shape brand perception in AI tools

Product, Content & PR Owners

focused on trust, reach and recommendation

Stay competitive in the age of Generative Engine Optimisation

We ensure your brand is visible in LLM-powered environments across both open-domain systems like ChatGPTand Perplexity as well as vertical tools like Google’s AI Overviews.

Image Sources: ChatGPT & Google AI Overviews

Optimise your content for AI-driven search

A Practical Guide to LLM Optimisation

LLMs (Large Language Models) are changing the way users discover and consume content. To stay visible in AI-driven search, brands need to optimise their content for these new algorithms. Our expert guide provides actionable insights to help you adapt and thrive in this evolving landscape.

What you’ll learn in our guide:

✔️ How to structure content so LLMs recognise it as a reliable source
✔️ The key differences between SEO and LLM optimisation
✔️ Technical best practices, including structured data and API integration
✔️ Practical tools and methods to enhance visibility in AI-powered systems
✔️ A step-by-step roadmap for future-proofing your content strategy

Download our Guide to LLM optimisation

Stay ahead of the conversation with our AI-powered Brand Monitoring services.

Empower your team with actionable insights and keep your brand one step ahead in the digital arena. Our AI Brand Monitoring service tracks brand mentions, sentiment, and emerging trends across the digital landscape ensuring you never miss a beat. By combining real-time insights with predictive analytics, we help brands:

Spot opportunities and risks instantly

Understand customer sentiment and market trends

Make data-driven decisions to strengthen reputation and engagement