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The people getting the most out of Meta’s Muse have stopped asking it questions. More than 10M people in the US and Canada set it up in its first weeks, and about 25% of them use it on any given day (KSAT).

Muse does the work itself, so the creators who use it best hand it standing jobs: watch these pages, collect those quotes, draft the reply, and run it again Friday.

Below are the four marketing jobs worth copying from those creators' videos, with a prompt for each, plus the one job Muse flunked. 👇

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Muse runs on its own computer in the cloud, so it keeps working after you close the app (ZoCo Marketing). You describe a job in chat, Muse adds it to its scheduled tasks, and from then on it runs on a timer and sends you the result.

It's also plugged into the Meta accounts you already run. Muse for Small Business connects to your Instagram analytics, Facebook Pages and Meta ad accounts, plus Shopify, Klaviyo, Canva, Notion and more, and "nothing publishes, sends, or spends without your approval" (Meta Newsroom). It's free with a weekly usage cap, or $20 a month for Power and $100 for Maximum (Meta Help Center). ChatGPT's version, Dots, starts at $100 a month (Implicator). Muse is live in the US, Canada, Japan and Singapore only.

Chad Sheppard read his viewers' comments and realized he'd been giving Muse tasks while they were giving it jobs. One viewer runs a one-man local news outlet in Florida and has Muse watching city council agendas, court dockets and property records (Chad Sheppard). "Handing it standing jobs instead of asking it questions is the whole game."

Start on the free plan. All four jobs below only watch and draft, so you can see whether Muse earns its keep before you pay for more usage.

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Meta's Ad Library is public, so anyone can see the ads a Page is running. ZoCo Marketing turned that into a standing job: Muse records each competitor's active ads and keeps the tracker in his Google Docs. It had no links to the ads at first, so he asked for preview links and got them. He then shows how to set the same prompt as a recurring Friday task, so Muse texts him what changed that week.

Here's the prompt with the preview-link step already in it:

Why this one first: your competitors' Black Friday ads show up in the Ad Library with their start dates, so you see each offer the week it goes live and can price yours against it.

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Job #1 shows you what your competitors say. This one collects what your customers say, in their own words.

ZoCo's example is a neck-pillow brand for frequent travelers. He asked Muse for at least 30 real quotes from people describing the problem, even if they didn't use the exact words. Muse came back with 39, plus hook ideas for a landing page. You can also point it at a competitor's Instagram to see what people complain about there.

One thing to know before you run it: Greg Isenberg found that Muse pulled from public listing sites by default, and his best results came once he told it to search Facebook groups (Greg Isenberg). It searches public groups, and private groups only if you've already joined them.

Use the quotes word for word. A customer describes the problem more plainly than you would, which is why those lines belong in your Black Friday ad and email copy as written.

Post Planner’s Content Streams show you real posts from your niche, rated 1 to 5 stars by how well they performed. Pick one, write your take and schedule it to every network from the same screen.

“The content feature alone saves me 10 hours per week.”

~ Dustin Peyser, Post Planner customer

Jobs #1 and #2 read other people's pages, and this one watches yours.

When ZoCo ran it, Muse asked him to log in to the Page, then sent high-priority alerts with a drafted reply attached to each. From there he could edit a reply or tell Muse to post all the drafts.

The same job works in reverse: have Muse find your best comments and DMs from the last 30 days and draft a message to each customer asking permission to use their words in your ads.

Approve every reply yourself. In the store test below, Muse said it was handling the customer emails, then sent nothing for hours and promised a refund it never issued. So let it draft, and read each reply before it goes out instead of using the post-all option.

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The last job sends Muse through your competitors' funnel the way a customer would, including the abandoned-cart step, so you find out whether they send that email. ZoCo got back a "competitor funnel teardown" doc with screenshots, found it wordy, asked for a slide deck, and Muse built one.

Ask for the deck up front. The doc version came back wordy, and a deck of screenshots is what you'll flip through while you write your own Black Friday page.

If you run a store on Shopify and Klaviyo, Christian Peverelli suggests connecting both and asking Muse which Klaviyo flows make money, which ones are missing (like abandoned cart) and to draft the fixes (Christian Peverelli).

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Pat Simmons gave Muse, ChatGPT's Dots and Grok Bot the same fake coffee store to run for about four hours, with about 70 customer emails coming in, and had Claude grade the results (Pat Simmons). Muse got a D, while Dots got a B and Grok Bot an A-. Muse said it was on the emails and then sent no replies for hours, promised a refund it never issued and didn't pause a sold-out product. In a separate trip-planning test, a flight site blocked it, so it priced the flights through Expedia instead and came out more expensive. Pat still called it "absolutely fantastic" for personal admin and anything on Instagram, and it's free.

Two more limits: Muse doesn't decide where to look on its own, so you have to tell it (which is why Job #2 names the groups). And when Chad tried a viewer's tip to have it search official unclaimed-money databases, it turned up nothing.

So the rule: give Muse the jobs that watch and draft, and keep anything a customer will see under your approval.

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Set up the Friday competitor brief this week, add the other three jobs as you go, and approve every reply a customer will see yourself.

Tell me: which job are you handing Muse first?

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That's all for today. Thanks for reading. Now…

~ Josh from “AI Marketing News”

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