See which LLM answers mention you, and which ones send you leads
Productive Shop monitors the prompts your buyers ask ChatGPT, Perplexity, Gemini and Claude, so you see where to grow your visibility and prove what AI search adds to your pipeline.
Trusted by B2B SaaS teams building visibility in AI search
Stop guessing whether AI search sends you buyers
You learn which AI engines, prompts and pages bring in leads, so you spend on what converts and cut what doesn’t.
We monitor your AI citations and act on what we find
Most LLM visibility trackers stop at the data. Our search team acts on it: we rewrite the pages AI engines skip and report the leads that follow in Sorge.

GROWTH
+1,500%
growth in AI citations
CONVERSION
+500%
increase in AI-driven conversions
TRAFFIC
+580%
increase in LLM traffic
VISIBILITY
+830
brand mentions in AI answers
Why SaaS leaders like to work with us
“When we started with Productive Shop, ranking in AI search wasn’t even part of the conversation. A year later, we’re leading our competitive category in search visibility and showing up in AI Overviews for the terms that matter most to our buyers. The results have genuinely changed how we think about organic as a growth channel.”
B2B SaaS teams that grew their LLM citations with us
Where your numbers come from
AI engines we track
Tracking and analytics
CRM attribution
Everything you need to see what AI search brings in
What works well alongside AI tracking
Track your LLM citations from prompt to pipeline
What we’ve learned about AI search
Show up when buyers ask AI about your category
Talk to us to find out where AI recommends you today and what it takes to show up more.
Frequently asked questions
LLM visibility is how often large language models (LLMs) like ChatGPT, Perplexity, Gemini and Claude mention or cite your brand when buyers ask about your category. It covers three signals:
- Whether AI answers name your brand
- Whether AI answers link to your pages
- Which sources AI answers pull from
Strong LLM visibility puts your brand in front of buyers before they visit any website, which shapes your brand perception early in the buying process. Weak visibility means AI engines recommend other vendors for the prompts that matter most to your pipeline.
To monitor LLM visibility of your brand, follow these steps:
- Build a buyer prompt list from your ideal customer profile (ICP) and sales calls, so you track the questions buyers ask before they shortlist vendors.
- Run each prompt in ChatGPT, Perplexity, Gemini and Claude, since each engine cites different sources.
- Record whether each answer mentions your brand, links to your pages or cites another site.
- Filter AI-referred sessions in Google Analytics 4 (GA4) by engine and landing page, since GA4 groups them with other referral traffic.
- Repeat the prompts on a set schedule, because AI answers change over time.
Read our complete guide on how to track AI traffic in GA4.
To implement AI citation monitoring for brand visibility optimization, connect tracking to action by following these steps:
- Set a baseline of where each engine cites, mentions or skips your brand.
- Log the third-party domains AI answers cite for your category to find sites worth a mention.
- Connect AI-referred traffic to demo requests, then to opportunities in your CRM, to see which engines and pages bring in buyers.
- Find the prompts where AI answers leave you out, starting with those with high intent.
- Update or create pages that answer those prompts directly, with clean schema markup.
- Rerun the same prompts after each change to measure the impact.
Productive Shop tracks LLM citations by running your buyers’ prompts in ChatGPT, Perplexity, Gemini and Claude and logging which pages and sources each answer cites. Our search team picks the prompts based on your buyer personas, goals and industry. Sorge, our marketing operating system, connects that citation data to GA4, Google Search Console and your CRM.
You see AI traffic by engine and landing page, the leads it brings in and, with CRM access, the opportunities that follow. Our team reports results on a set cadence and you can check the numbers in Sorge anytime.
Productive Shop tracks ChatGPT, Perplexity, Gemini and Claude. Our search team runs the same buyer prompts in each engine, so you can compare where each one cites, mentions or skips your brand. For each engine, our Sorge platform reports the sessions it sends to your site, the pages those visitors land on and the leads they become.
Productive Shop tracks these LLM metrics:
- Citations and brand mentions by prompt and engine, to show where AI answers include you
- Citation sources, including the third-party domains each engine trusts for your category
- AI-referred sessions by engine, compared with the previous period
- Share of AI traffic per engine, to show which one sends the most visitors
- New users from AI search, separated from returning visitors
- Landing pages AI visitors reach first
- Demo requests and form fills from AI traffic, with a conversion rate per engine
- Leads, qualified leads and opportunities from AI search, when your CRM is connected
The best LLM analytics company for visibility monitoring depends on what you need the data to do. Look for a partner that:
- Tracks the same buyer prompts in ChatGPT, Perplexity, Gemini and Claude
- Shows which sources each engine cites for your category
- Connects AI-referred traffic to leads and pipeline, not just mentions
- Acts on the gaps it finds instead of handing you a report
Many self-serve tools track prompts and citation sources, then stop there. With Productive Shop, you go from tracking to attribution: Sorge, our marketing operating system, connects citation data to GA4 and your CRM, and our search team fixes the pages AI engines skip. You end up with more citations in the answers buyers read, and proof of what each one is worth.
Talk to us to find out which AI engines send you buyers.





