LLM Performance Tracking and Analytics Services

Trusted by teams at

In short

Visibility tracking and analytics for AI search platforms. Measuring how often ChatGPT, Perplexity, Claude and Google's AI Overviews cite your website, which queries trigger inclusion and how that compares to traditional organic share of voice.

Visibility you cannot measure

Your brand is being mentioned, recommended or ignored by AI platforms every day and most businesses have no idea which. Traditional analytics tools were not built for this. Google Analytics tells you nothing about how ChatGPT or Perplexity respond when someone asks about your industry or services.

Structured LLM monitoring

Priority Pixels tracks your brand presence across ChatGPT, Gemini, Copilot and Perplexity using systematic prompt testing and response analysis. We monitor how AI platforms describe your business, which competitors they recommend instead and where your content gets cited or overlooked. Learn more about our complete AI SEO services.

Actionable intelligence

Tracking alone is not enough. We turn LLM performance data into specific content and technical recommendations that improve how AI platforms represent your brand. Every report identifies what to fix, what to create and what to reinforce so your visibility improves month on month.

Measurement built for LLM visibility

Priority Pixels runs LLM Performance Tracking as its own channel. Our AI search team spends every day inside ChatGPT, Perplexity, Gemini, Copilot and Google’s AI Overviews, monitoring which prompts surface your brand, which URLs get cited and how your visibility shifts month on month.

That specialist focus gives our clients the benefits of proper LLM tracking expertise. Prompt libraries, citation monitoring, share-of-voice measurement against named competitors and dashboards built for the way generative engines actually surface sources all sit inside the delivery. We know what each engine rewards, what it ignores and where to invest first to move the needle on your citation rate.

Priority Pixels team reviewing LLM performance data in the office

Our LLM tracking services

LLM tracking shows how ChatGPT, Gemini, Copilot and Perplexity talk about your business. The services below measure your visibility against competitors and turn the findings into content changes.

Brand mention tracking across ChatGPT, gemini, copilot and perplexity

We run structured prompts across the major LLM platforms to track when and how your brand is mentioned, which prompts recommend you and where AI gets your details wrong.
Competitor visibility analysis in AI search results

We benchmark your AI visibility against direct competitors on the queries that matter in your sector and find the content gaps that give them an advantage.
Citation source tracking and content attribution analysis

We track which of your pages AI platforms cite, which competitor pages they choose instead and what makes a page more likely to be cited.
Prompt pattern research and query intelligence

People phrase questions to AI differently from search queries. We research the prompts your audience uses and track how answers change as the platforms update their models.
Monthly performance reporting with clear recommendations

Each month you get a report on your visibility trend, mention accuracy, competitor position and specific actions, with every recommendation tied to a measurable improvement.
Content optimisation guided by LLM performance data

When an AI platform keeps recommending a competitor for a query you should own, we identify exactly what content needs to change and why, then make the change.

Our AI SEO case studies

See how our answer engine optimisation work has helped B2B businesses appear in AI-generated responses across ChatGPT, Perplexity and voice search platforms.

Meet the team

Emily King

SEO & PPC Lead

Emily plans the LLM performance strategy. She agrees the prompt set, the models to track and how often reporting runs.
Owen Lewis

Senior Web Developer

Owen handles the technical LLM performance work. Automated prompt tests, model comparison scripts and the dashboards that plot the client's visibility over time.
Lisa Moody

Website & SEO Support

Lisa handles the on-page LLM work. Content adjustments driven by the tracking findings, entity coverage and the rewrites that improve model visibility over time.
Jess Pearce

Digital Marketing Administrator

Jess coordinates the LLM performance reporting. Monthly readouts, the highlight reels and the client conversations about what to prioritise next.

Tracking built to read at a glance

LLM visibility data is only useful if you can act on it. Every Priority Pixels client on our tracking service gets access to our branded reporting platform that holds citation data per LLM-powered tool, query-level visibility broken down by prompt language, competitive citation share against the brands actually showing up alongside (or instead of) you and the trend lines that say whether the work is winning ground week on week.

Filter by tool, by query cluster, by competitive set. Compare citation share against named competitors on the queries that drive qualified pipeline. Every month we schedule a call to walk through the tracking together. What’s moved, what hasn’t and what the next round of content, technical or design work should respond to. Tracking without action is wasted data, so the reporting always feeds into the roadmap.

Sectors we work with

You cannot improve what you cannot measure. AI search visibility is harder to track than traditional rankings, but the signals are there for those who know where to look. We monitor your presence across ChatGPT, Claude, Perplexity, Google AI Overviews and Bing Chat across sectors with their own query patterns.

How we track and improve LLM performance

LLM performance tracking requires a structured methodology because AI platforms do not provide analytics dashboards or visibility reports. We have built our own monitoring framework that systematically tests how these platforms respond to queries relevant to your business, tracks changes over time and converts the data into actionable improvements.

Get in touch

Baseline audit and platform mapping

Before we can improve anything, we need to know where you stand. We run an initial audit across ChatGPT, Gemini, Copilot and Perplexity using queries your target audience would actually ask. This establishes your baseline visibility, identifies brand accuracy issues and maps which competitors currently dominate the AI responses in your space.

Prompt library development and testing framework

We build a library of prompts tailored to your industry, services and target audience. These are tested systematically across all platforms on a recurring schedule. The framework captures response content, citation sources, competitor mentions and sentiment so we can track meaningful changes rather than relying on one-off spot checks.

Data analysis and trend identification

Raw data from LLM monitoring gets analysed for patterns. We identify which content changes correlate with improved visibility, which platform model updates affected your positioning and where emerging query patterns represent new opportunities. This analysis separates meaningful trends from noise so recommendations are grounded in evidence.

Content and technical recommendations

Every tracking cycle produces specific recommendations. These might include creating new content to fill gaps AI platforms currently fill with competitor information, restructuring existing pages to improve citation likelihood or updating factual claims that LLMs are currently getting wrong about your business. Each recommendation includes priority, expected impact and implementation guidance.

Ongoing monitoring and performance reporting

LLM visibility is not static. Platform model updates, competitor content changes and shifts in user behaviour all affect how AI tools respond to queries about your business. Our ongoing monitoring catches these changes early so you can respond before visibility drops. Monthly reports track progress against baseline, highlight wins and set priorities for the next cycle.

LLM performance tracking FAQs

The questions we hear most about tracking how AI platforms describe your business and correcting answers that are wrong.

Get in touch

What is LLM performance tracking?

LLM performance tracking monitors how AI platforms like ChatGPT, Gemini, Copilot and Perplexity respond when users ask questions relevant to your business. It measures whether your brand gets mentioned, how accurately it is described, which competitors appear instead and whether your content gets cited as a source. Traditional SEO tools do not capture this data.

Which AI platforms do you track?

We monitor ChatGPT, Google Gemini, Microsoft Copilot and Perplexity as standard. These four platforms represent the majority of AI-assisted search behaviour. If your audience uses additional platforms relevant to your industry, we can extend monitoring to cover those as well.

How often do you run LLM tracking reports?

We run monitoring on a monthly cycle as standard, with reporting delivered alongside specific recommendations for the next period. For businesses in fast-moving sectors or during active content campaigns, we can increase frequency to fortnightly. The key is consistency so trends become visible over time.

Can you fix inaccurate information about our business in AI responses?

Yes, though it is an indirect process. AI platforms pull information from publicly available sources. If an LLM gives inaccurate information about your business, we identify the source content causing the issue and work to correct, update or create authoritative content that these platforms will use in future model updates. Results typically improve within one to two model refresh cycles.

How is LLM tracking different from traditional SEO reporting?

Traditional SEO reporting measures rankings, clicks and impressions in search engines. LLM tracking measures something entirely different: whether AI platforms recommend, mention or cite your business when users ask relevant questions. A company can rank number one on Google and be completely invisible in ChatGPT. Both matter, but they require different monitoring approaches.

What kind of businesses benefit most from LLM performance tracking?

B2B organisations, professional services firms, healthcare providers and technology companies see the most value because their target audiences increasingly use AI platforms to research suppliers, compare services and shortlist providers. If your sales cycle involves a research phase where potential customers gather information before making contact, LLM visibility directly affects your pipeline.

Our Technology Partners

Our AI SEO news

AI is rewriting the rules of search visibility. This section covers generative engine optimisation, answer engine optimisation, entity mapping and structured data, and the practical steps UK businesses can take to remain visible as ChatGPT, Claude, Perplexity, Copilot and Gemini rewire the discovery journey.