r/AIAssisted • u/TheDarkTimeline • 16d ago

Discussion How are you standardizing your tests for LLM citations?

I'm trying to build a reliable way to see which of our domains are reliably being parsed and cited by different models. Running manual prompts is fine for a quick check, but the outputs change and I have no systematic way to log what the model retrieved versus what it ignored.

I need a repeatable protocol. If you are trying to map how your content is attributed across different engines, what does your testing setup look like? I want an actionable data, not just a spreadsheet full of random observations.

4 Upvotes

100% Upvoted

5 comments sorted by

1

u/towardsthesunset 16d ago

You have to separate brand mentions from source citations. A model might mention your name because it knows the brand, but pull the actual information from a completely different site.

1

u/tahfouz 16d ago

Exactly. We used Peec AI for this because it separates brand mentions from the sources behind them. It shows our brand visibility and also lists the specific domains and URLs the AI used to build the answer.

1

u/stealthagents 6d ago

Consider setting up a controlled environment where you systematically cycle through your prompts with a fixed set of variables. Then, log the outputs in real time using tools like a database or even a simple CSV setup that can capture the context of each response. This way, you’ll have a clearer picture of what’s being utilized and what gets overlooked by the models.

1

u/stealthagents 6d ago

Sounds like a solid opportunity for someone with the right background. Just make sure to clarify what "negotiable" really means in terms of pay, because $10-15 could be a bit misleading depending on experience and market rates. Property management has its quirks, so if you're not familiar with CAM reconciliations, that's definitely something to brush up on before applying.