LLM Tracking & AI Search Analytics Services
LLM Tracking
The metrics your analytics stack was built on don't capture how AI systems are influencing your pipeline. Senior marketers are running GA4, attribution models, and share-of-voice reports, and none of them shows what ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, or Grok are saying about their brand. That blind spot is now a commercial risk.
Propeller closes it. We measure your Share of Model, the proportion of relevant AI-generated answers in which your brand is cited, named, or recommended, across seven platforms, down to the prompt level. You’ll know exactly where you win citations, where competitors take them instead, and what to do about it.
Our LLM Tracking & AI Search Analytics Solutions
Multi-Platform LLM Monitoring
Monitor how AI answers present your brand across seven platforms: ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Grok, and OpenAI Search. Track frequency, positioning, and citation confidence in one place. The Gravity AI Dashboard unifies cross-platform visibility into one view, revealing shifts by topic, product, or market to drive smarter optimisation.
Share of Model (SoM) Measurement
Share of Model is the proportion of AI-generated answers, across a defined prompt set, in which your brand is cited, named, or recommended. We track this by topic cluster, product line, and competitor set, giving you a score with competitive benchmarks and week-on-week trend data.
Prompt-Level Attribution & Audit
We identify which prompts generate citations for your brand, and which route users to competitors instead. This includes prompt gap mapping and content opportunity surfacing, so findings directly inform your schema and PR strategy, not just sit in a report.
Create Citable Resources
Propeller builds reference grade resources original research, expert Q&A, and glossary explainers mapped to priority queries. Using ChatGPT SEO tracking and Perplexity visibility tracking, we reference trusted datasets and media, secure PR placements, and structure content for snippet-able, machine readable answers, so AI engines cite confidently and audiences trust instantly.
Competitive Share of Model Benchmarking
Benchmark your Share of Model against key competitors across priority prompt categories. We identify prompts where competitors are consistently recommended or cited instead of you, then deliver competitor SoM benchmarks by topic cluster with gap analysis and recommended actions.
AI Search ROI & Revenue Attribution
We map the journey from AI citation to site visit, from visit to lead, from lead to pipeline. You get bespoke reporting dashboards that translate LLM tracking data into stakeholder-ready commercial reports, connecting AI visibility directly to revenue.
Why LLM Tracking Matters
AI search analytics and LLM tracking reveal what traditional tools like Google Analytics can’t, your visibility inside AI answers. As discovery shifts from click-based search to AI-powered zero-click responses, brands need to measure Share of Model, the proportion of relevant AI-generated answers in which your brand is cited or recommended, to see how often and confidently AI platforms choose them over competitors.
Traditional search measured clicks and traffic. LLMs measure presence, sentiment, and authority inside AI answers. Tracking Share of Model across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and Grok shows who owns the narrative, uncovers opportunities, and informs smarter content, schema, and PR strategies.
Why LLM Tracking Goes Beyond Google Analytics
GA4 and legacy analytics were built for a web where every journey started with a click. AI-generated answers don’t work that way, and that gap is exactly what LLM tracking is built to close.
What each measures: GA4 measures clicks, sessions, and on-site behaviour. LLM tracking measures whether your brand is cited, named, or recommended inside an AI-generated answer, whether or not that answer ever leads to a click.
Where each looks: GA4 only sees activity that reaches your website. LLM tracking looks at the AI platform itself, ChatGPT, Gemini, Perplexity, and beyond- to see what’s being said about your brand before a user ever visits your site, if they visit at all.
What each informs: GA4 tells you what happened on your site. LLM tracking tells you whether AI systems are representing your brand accurately, and whether you’re being cited over competitors, information GA4 has no way to capture.
AI-generated discovery is invisible to GA4, because for a growing share of journeys, the journey never started on your site at all.
How Propeller Measures AI Search Visibility
Baseline Audit
We establish your Share of Model score across five to seven AI platforms, giving you a clear starting point before any optimisation work begins.
Prompt-Level Gap Analysis
We identify which prompts currently route buyers to competitors instead of you, and why, so the work that follows targets the gaps that actually matter.
Sentiment & Entity Accuracy Review
We score and benchmark how accurately and favourably AI platforms characterise your brand, flagging anything factually wrong or reputationally risky.
Weekly Tracking & Reporting
You get a unified dashboard with weekly updates and a monthly strategic report, so you always know where you stand and what to do next.
What We Track: Platform Coverage
ChatGPT / OpenAI Search
We track how your brand appears in ChatGPT’s responses and OpenAI’s search results, including which prompts trigger a citation and which route users elsewhere.
Google Gemini
We monitor your visibility inside Gemini’s AI-generated answers, benchmarking citation frequency against your named competitors.
Perplexity
We track how consistently Perplexity cites your brand as a source, and how accurately it represents what you do.
Claude (Anthropic)
We measure whether and how Claude references your brand when answering relevant queries, an increasingly important surface as adoption grows.
Google AI Overviews
We track your inclusion rate in AI Overviews for your priority queries, and flag where competitors are being cited instead.
Grok (xAI)
We monitor your presence in Grok’s answers, one of the newer platforms most agencies aren’t tracking yet.
Got questions? We’ve got answers
Share of Model is the percentage of relevant AI-generated answers in which your brand is cited, named, or recommended, measured across a defined set of prompts. It matters because a growing share of discovery now happens inside AI answers with no click back to your site, so if you don’t know your Share of Model, you have no way of knowing whether your visibility is growing or shrinking.
It’s how Propeller measures your brand’s visibility, sentiment, citations, and positioning inside AI answers, then links those signals to traffic, leads, and revenue. Rather than a one-off snapshot, it’s an ongoing measurement discipline, the same way analytics is for your website.
They don’t see AI-generated answers. We monitor how platforms present your brand, benchmark against competitors, and surface actions that move the needle.
ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and Grok, plus emerging AI surfaces as they gain traction. One view, consistent metrics, continuous updates.
Share of Model, prompt-level attribution, sentiment score, entity accuracy, citation quality, and downstream outcomes like visits, leads, and revenue pipeline.
We map the journey from AI citation through to site visit, lead, and pipeline, so you get stakeholder-ready reporting that ties AI visibility directly to commercial outcomes, not just a visibility score in isolation.
A unified dashboard, concise weekly insights, prioritised actions, and stakeholder-ready reports that tie AI visibility to commercial impact, plus a prompt gap report, Share of Model benchmark, and sentiment report as standing deliverables.