Your LLM visibility tracker only checks the exact prompts you typed into it, so if real users phrase their questions differently than you guessed, your brand can be missing from AI answers and the dashboard will never tell you.
That's the blind spot nobody markets. These tools are useful and I run one myself. But the gap between "the prompts I track" and "the prompts people actually ask" is where most brands quietly lose.
What an LLM visibility tracker actually does
A tracker monitors a fixed set of prompts you define, then checks daily whether your brand shows up in ChatGPT, Perplexity, and Gemini answers. You write prompts like "best search API for AI agents" or "Tavily alternatives," and the tool re-runs them on a schedule and logs whether you were cited.
Here's the current pricing so you know the budget you're working with:
- Profound: Starter $99/mo for 50 prompts, Growth $399/mo for 100 prompts.
- Peec AI: $100, $241, or $505/mo, priced by prompt volume, 3 platforms in the base tier.
- Qwairy (French): from EUR 59/mo (about $69), 7-day trial, tracks 10+ providers.
So your entire visibility picture rests on 50 to 100 prompts. That's the product. And it's a real product, the daily re-running is tedious to do by hand.
Why a fixed prompt list is a blind spot
The tool only watches the prompts you supply, and those may not match what real users type. A French SEO raised this exact point on Reddit: you're scoring yourself against your own guesses, and there's no real data on the actual prompts people send to ChatGPT. The AI providers don't publish that.
So two failure modes:
- You track "best Reddit scraping API" but buyers actually ask "how do I get Reddit data without getting blocked." Different phrasing, different answer, your dashboard stays green while you lose the citation.
- You track 80 prompts and feel covered, but a topic has 400 real phrasings. You're sampling 20% and calling it visibility.
The fix isn't a better dashboard. It's better prompts fed into the dashboard you already pay for.
How to widen your tracked prompt set with real query data
Pull the questions people actually search, then add the ones you're not tracking. Two sources give you real phrasings instead of guesses:
- Google's people_also_ask and related_searches: real query expansions Google shows for your topic.
- Reddit threads on your topic: Reddit discussion often precedes AI-answer citations, so it's a directional signal of the questions people are asking right now.
A SERP API returns both. Here's a short script that hits Scavio's Google and Reddit endpoints and prints candidate prompts:
import requests
API_KEY = "YOUR_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
BASE = "https://api.scavio.dev/api/v1"
# 1. People Also Ask + related searches for your topic
g = requests.post(
f"{BASE}/google",
headers=HEADERS,
json={"query": "reddit scraping api", "light_request": True},
).json()
paa = [q["question"] for q in g.get("people_also_ask", [])]
related = g.get("related_searches", [])
# 2. Reddit threads people actually post on the topic
r = requests.post(
f"{BASE}/reddit/search",
headers=HEADERS,
json={"query": "reddit scraping api"},
).json()
threads = [t["title"] for t in r.get("results", [])]
candidates = paa + related + threads
for c in candidates:
print(c)Note light_request: True is enough to return people_also_ask and related_searches. If you set light_request: false you get a fuller Google response at 2 credits instead of 1. Credits are $0.005 each, and you get 50 free signup credits, so a full topic sweep costs cents.
Take that candidate list, dedupe it against the prompts your tracker already watches, and add the new phrasings. Now your daily checks cover questions you'd never have guessed.
What this does not do
Scavio does not return AI Overview text and it won't tell you your exact ChatGPT citation rate. That's the tracker's job, and the tracker is genuinely the easiest way to run the daily checks. This method feeds it better inputs, it does not replace it.
Think of it as two layers. The SERP and Reddit data tells you which questions to track. The dashboard tells you whether you're winning them. Run both and you stop scoring yourself against your own guesses.
The honest takeaway
Keep your tracker. Just stop trusting its prompt list. Every quarter, pull people_also_ask, related_searches, and Reddit threads for your core topics, and feed the new phrasings into the dashboard. The tool checks the prompts. You make sure they're the right prompts.