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GoldieBench Blog · 6 min read

Grok Bot For Sales + Which AI Models To Pair With It: Live GoldieBench Scores And What They Mean For A Sales Team

GoldieBench scores the models around your sales Bot, not the one inside it; here is how to read the overall and Pages columns for prospecting and campaign work.

Illustrated benchmark leaderboard with gold score bars next to a sales pipeline funnel and a cloud assistant holding draft envelopes

Grok Bot for sales runs on whatever model Grok Bot chooses for each task, so the useful benchmark question is which models to pair around it, not which one is inside it.

This page reads the live GoldieBench pages on 5 November 2026 and explains what those scores do and do not tell a small sales team.

Every score is quoted from the page it sits on, and the Grok Bot facts come from the official use cases page and Grok Bot FAQ.

Want help picking a stack for your pipeline? Book a free SEO strategy session with my team.

Grok Bot picks its own model, so here is what the scores are for

The FAQ is plain about it: there is no model picker, Grok Bot chooses a backend model per task, and it does not show which one handled a request.

So no GoldieBench number is a Grok Bot number.

The Grok row below scores xAI's chat model on one-shot builds.

Use the board for the models around the Bot: the one in your Agent OS that writes sales briefs, and the one that builds landing pages and proposals.

The live overall leaderboard, read 5 November 2026

ModelAvg / 10TasksPage read
Fusion8.5947leaderboard
Claude Opus 58.2750leaderboard
Hermes MoA8.1747leaderboard
GPT-5.6 Sol8.1650leaderboard
Claude Fable 58.1047leaderboard
Qwen 3.88.1045leaderboard
Grok8.0947leaderboard

Ranking on the board is Julian's own 0 to 10 score averaged over every task a model was scored on.

Grok shows 47 tasks with 43 of them scored, and sits seventh.

The Pages category is the closest fit for sales collateral

GoldieBench splits tasks into Games, Visuals, Sims and Pages, and Pages has three tasks.

Those are single-file web pages, which is the nearest thing on the bench to a sales landing page or a one-page offer.

Here are the top five Pages averages from the leaderboard's Pages tab:

ModelPages avg / 10 (3 tasks)
Fusion8.50
Claude Opus 58.47
GPT-5.6 Sol8.47
Qwen 3.88.40
Grok8.33

The leaderboard tags GPT-5.6 Sol "best at Pages" in its own Best at column.

On the Grok model page, Grok scores 9.0 on the Landing Page task, 9.0 on Webos and 7.0 on Aipbpromo, which averages to the 8.33 above.

A conflict on the bench you should know about

The methodology page says models with zero scored tasks are unranked and names Grok among them.

The Grok model page also lists a trade-off saying none of its demos has a curated verdict yet.

Yet the leaderboard ranks Grok seventh at 8.09 with 43 of 47 tasks scored, and the same model page shows a full scorecard.

Read the Grok figures as the leaderboard's current numbers, and expect the methodology text to lag.

What GoldieBench doesn't measure for sales

Every task is one fixed prompt, one shot, one self-contained HTML file, scored 0 to 10.

Nothing on the bench scores account research, lead scoring, email tone or CRM accuracy.

So a high Pages score says a model builds a strong page in one go; it says nothing about whether it ranks prospects well.

For the sales work itself, judge the review list Grok Bot hands back, row by row.

How to test a model on your own sales work

The bench gives a shortlist; your own pipeline gives the answer.

Take one real CRM view and give the same outbound brief to two Agent OS models.

Paste each brief into a Grok Bot description in turn, run the task on the same ten accounts, and compare the review lists side by side.

Keep the brief that needs fewer corrections, then save that process as a skill.

If you want a second opinion on the results, my team will go through them on a free strategy call.

Pairing models with a sales Bot: planner and doer

A practical split for a small team:

Your Agent OS model writes the outbound brief, the Account health thresholds and the follow-up rules; on the overall board, Claude Opus 5 sits at 8.27 and Fusion at 8.59.

Grok Bot then does the documented sales outbound work: researching a CRM view, ranking accounts against your ideal customer profile, finding up to three contacts each and drafting outreach, then stopping at a review list.

When a campaign needs a landing page, the Pages column is where to look, with Fusion, Claude Opus 5 and GPT-5.6 Sol at the top.

Three small-business sales jobs, with the model question answered

A branding agency pitching new clients

  1. The Agent OS model writes the outbound Bot brief from the agency's ideal client notes.
  2. Grok Bot researches each prospect and drafts a first email, then returns the list.
  3. A Pages-strong model builds a one-page case study to link in approved emails.

An operations consultant watching renewals

  1. Grok Bot runs the Account health role over the client list: usage, escalations, renewal dates and contacts.
  2. It ranks accounts with evidence and a next step, and never contacts anyone.
  3. No benchmark choice is needed here; the consultant judges the list.

An electrical contractor following up quotes

  1. A routine on the Bot's quotes alias logs each quote and later drafts a check-in.
  2. The drafts wait for the office to press Send.
  3. Model scores are irrelevant; the safeguards below do the work.

The settings that matter more than any score

Routine email from the Bot's own address waits as a draft until you press Send, per the approvals docs.

First-contact email carries a one-click unsubscribe link, and the Bot stops writing to addresses that bounce or unsubscribe, per the email section of the computer and apps docs.

Add an Ask first rule for any external email so chat sends get a card too.

Team Bots, Slack and the pipeline page

A shared Bot serves a whole Cursor team, each chat stays private, and in Slack only the requester can answer an approval card, per the shared Bots page.

The changelog names these Team Bots and adds thread replies and routine setup from Slack.

For reporting, a routine can refresh a Page: a pipeline tracker with tables, charts and filters, still rolling out and not on Enterprise teams yet.

A five-step start

  1. Pick your Agent OS model from the overall board and have it write the outbound brief.
  2. Run the outbound role on ten accounts and correct the list.
  3. Save it as a skill and test it on a second view.
  4. Schedule the nightly research routine that stops at the list.
  5. Pick a Pages-strong model for any landing page the campaign needs.

For the wider business picture, read our Grok Bot for business model guide, and for hands-on help, the AI Profit Boardroom runs the coaching calls.

Also On Our Network

Pick the models around the Bot from the live board, keep every send on review, and join the AI Profit Boardroom to run Grok Bot for sales.

FAQ

Which model does Grok Bot use for sales tasks?

Grok Bot picks a backend model per task and doesn't show which one handled a request. There's no model picker.

Which model leads the GoldieBench Pages category?

On the leaderboard read 5 November 2026, Fusion averages 8.50 over the 3 Pages tasks, with Claude Opus 5 and GPT-5.6 Sol on 8.47. The board tags GPT-5.6 Sol best at Pages.

Is Grok ranked on GoldieBench?

The leaderboard ranks Grok seventh at 8.09 with 43 of 47 tasks scored, but the methodology page still lists it as unranked. Treat the leaderboard as current.

Does GoldieBench test sales research or email?

No. Each task is a one-shot, single-file HTML build. Judge sales research by the review list Grok Bot returns.

The same stack Julian uses

Run this stack yourself.

Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 3,400+ founders shipping with it every day all live inside the AI Profit Boardroom.

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