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Revenue AI Index by Docket
Stop guessing which AI to use for sales & marketing
Every revenue team uses AI now, but nobody knows which model to trust. We benchmark 8 frontier models on 16 real GTM tasks — prospecting, account intel, campaigns, deal strategy — with fixed prompts and practitioner scoring. See the proof, not the hype.
Hey PH! 👋
We kept hearing the same question from every revenue leader we talked to: "Which AI model should I actually use for outbound? For account research? For deal prep?"
The existing benchmarks test coding, math, and reasoning. None of them test whether an AI can write a cold email your SDR would actually send, or synthesize 8 messy data sources into an account brief without flattening the contradictions.
So we built the Revenue AI Index.
How it works:
Every month we run 8 frontier models (Claude, GPT, Gemini, DeepSeek, Grok, Qwen, Mistral, Llama) through 16 real GTM tasks across 4 categories — Prospecting, Account Intel, Campaigns, and Deal Strategy. Fixed prompts. Blind scoring. 2–3 practitioner reviewers per task.
What makes this different from other benchmarks:
→ Every task is a real revenue workflow, not an academic test
→ Every prompt is fully inspectable — see exactly what we asked
→ Every model output is visible — read all 8 and judge for yourself
→ Scoring is by practitioners, not automated metrics
This month's highlights:
Claude Opus 4.7 won overall (8.57), but the margins are tight. DeepSeek V4 beat everyone on content repurposing. Gemini 3.1 Pro was surprisingly strong on account intel. Llama 4 Maverick struggled across the board. The rankings shift depending on the workflow.
We publish a new edition every month as models update.
Would love to hear from this community — which GTM tasks should we benchmark next? What workflows are you testing AI on right now?
🔗 docket.io/resources/tools/revenue-index
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About Revenue AI Index by Docket on Product Hunt
“Stop guessing which AI to use for sales & marketing”
Revenue AI Index by Docket was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #113 on the daily leaderboard. Every revenue team uses AI now, but nobody knows which model to trust. We benchmark 8 frontier models on 16 real GTM tasks — prospecting, account intel, campaigns, deal strategy — with fixed prompts and practitioner scoring. See the proof, not the hype.
Revenue AI Index by Docket was featured in Sales (21.8k followers), Marketing (463.9k followers) and Artificial Intelligence (469k followers) on Product Hunt. Together, these topics include over 175.8k products, making this a competitive space to launch in.
Who hunted Revenue AI Index by Docket?
Revenue AI Index by Docket was hunted by Anandhi Venkat. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Revenue AI Index by Docket stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Anandhi Venkat