6 use cases and 12 prompts to use Grok like top CEOs.
For many cases it's more powerful and reliable than Perplexity or ChatGPT.
It’s not popular to publicly admit you are using Grok, yet it’s the most capable tool for doing social research, especially on X. And it’s free.
Dave Ricks, CEO of Eli Lilly (a leading pharmaceutical company with market cap $934 billion in early 2026) uses Grok to ask scientific questions.
Wade Foster, co-founder & CEO of Zapier, uses it “to help source under the radar talent is Grok… We’re trying to find some good social media candidates…”:
Grok is like a people finder — is a really helpful tool… You can do the same way if you wanted to find people who just might have product feedback for me… or for influencer marketing.
People agree – ChatGPT lost 35% of active mobile audience last year and Grok grew from 0 to 15%.
Why so?
Grok has real-time access to X (Twitter) data + web search in the same model. On X people think out loud, before they leave reviews, before they update their LinkedIn. It's the closest thing to unfiltered opinions you'll find online. So market research that used to take 4-6 hours now takes minutes.
And they just launched 4.20 – a multi-agent assistant.
Instead of one model thinking sequentially, Grok 4.20 runs 4 agents in parallel that debate each other before responding: Grok (Captain), Harper (Research), Benjamin (Logic), Lucas (Creative).
Honestly, I don’t really see the difference. It was pretty good at social search and it still is.
These 6 prompts are designed specifically for Grok. They won’t work the same way in ChatGPT or Claude because they depend on X data that only Grok can access.
How Grok’s DeepSearch works (so you understand why these prompts are structured this way):
It breaks your question into sub-searches, pulls from 10+ sources across the web and X, checks them against each other, and gives you a sourced report with the reasoning visible.
It naturally includes source links — but you need to explicitly ask for structured tables, otherwise it defaults to prose with inline citations.
Each prompt below includes a follow-up you run in the same thread to deepen the initial findings.
1. Trend watching & industry pulse
The prompt
Research the most significant emerging trends in {{YOUR INDUSTRY}}
over the last {{14 / 30}} days.
I'm a {{YOUR ROLE}} making decisions about {{WHAT: product roadmap /
investment / content strategy}}. I need signal, not noise.
Search specifically for:
- X threads where {{INDUSTRY}} practitioners debate new approaches
- Recent funding rounds, acquisitions, and product launches
- Shifts in how people talk about the space (new terminology,
new complaints, new excitement)
- Signals from both web sources AND X conversations — compare
what media covers vs. what practitioners actually discuss
EVIDENCE TARGET: Find at least 20 distinct data points
(X posts, articles, announcements, threads). Each must have
a source link. If you find fewer than 20, note which searches
returned thin results so I can adjust.
FORMAT YOUR RESPONSE AS:
**Trend table** (one row per trend, aim for 8-12 trends):
| # | Trend | What's happening | Signal strength (Strong / Emerging / Noise) | Key evidence | Source with link |
Signal strength criteria:
- Strong = multiple independent sources + practitioner discussion on X
- Emerging = few sources but high-quality signals
- Noise = media coverage but little practitioner engagement
Then after the table:
1. **Overhyped**: One trend with lots of buzz but weak evidence
when you look at actual practitioner reactions. Explain why.
2. **Underrated**: One signal most people are probably missing.
Link to the source that convinced you.
3. **Evidence count**: State how many distinct sources you found
and how many were from X vs. web.Follow-up prompt (same thread)
Now go deeper on {{MOST INTERESTING TREND FROM THE TABLE}}.
Search X for the most substantive posts and threads about this
in the last 2 weeks — practitioners with skin in the game,
not media accounts.
TARGET: Find at least 15 more X posts or threads I haven't
seen yet. Different authors, different angles.
Present as a numbered list:
1. [Author name / handle] — [Key point they made] — [Link to post]
Context: [Why their perspective matters]
Then summarize: Who agrees? Who disagrees? What's the strongest
argument on each side?
Running total: You should now have {{20 from first pass}} +
15 new = 35+ evidence points on this topic.Result:
2. Find your audience
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