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PLAI and LLM Tracking, Monitor ChatGPT, Perplexity, Gemini and AI Overviews
Track how the major LLMs cite your brand, which prompts trigger your pages, and how to win more citations week after week.
AI and LLM Tracking, Monitor ChatGPT, Perplexity, Gemini and AI Overviews
Why LLM visibility matters now
AI answers are eating zero-click searches. A page ranked #1 in Google can still be skipped if ChatGPT or AI Overviews summarise the answer without citing it. LLM Tracking measures the citation layer Google rankings ignore.
- Citation share = % of monitored prompts where your domain is cited
- Brand mention = LLM names your brand even without a link
- AI Overviews coverage = % of your tracked Google queries that now show an AI Overview
What is monitored, weekly
Workexe runs your prompt set against 4+ LLMs every week, captures the answer text and counts brand mentions and link citations. Models tracked: ChatGPT, Perplexity, Gemini, Google AI Overviews.
- Up to 200 prompts per project (more on Agency plan)
- Per-prompt history with answer diff between weeks
- Region-specific endpoints where the model supports them
Building the right prompt set
Generic prompts give generic answers. Build prompts the way a real buyer would type them, with intent and context. Workexe seeds suggestions from your tracked keywords and competitor brand mentions.
- Comparison prompts: "best [tool] for [use case]"
- Decision prompts: "is [your brand] better than [competitor] for [need]?"
- Definition prompts: "what is [concept your brand owns]?"
- Pricing prompts: "how much does [tool category] cost?"
Brand misrepresentation alerts
If an LLM cites your brand with the wrong pricing, wrong feature claim or a hallucinated quote, you want to know within the week. Misrepresentation alerts flag mentions that deviate from your verified brand facts.
- Provide a Brand Facts doc once, Workexe compares each citation against it
- Slack and email destinations
- Per-LLM alert toggles (e.g. mute Gemini if you do not target it)
Winning more citations, source-page recommendations
For prompts where competitors are cited and you are not, Workexe recommends source pages to create or upgrade. Recommendations are based on which pages the LLM currently cites for the competitor.
- Suggested page type (comparison, listicle, FAQ, definition)
- Suggested structured-data additions (FAQPage, HowTo, Product)
- One-click handoff to Content Assistant with the brief pre-filled
- 1Open Project
Launch the ai and llm tracking, monitor chatgpt, perplexity, gemini and ai overviews module from your project panel.
- 2Connect Sources
Add GSC, GA4 and any required CSV imports.
- 3Set Scope
Choose location, language, device and alert thresholds.
- 4Validate
Confirm the first scan against a known page or query.