What to Post Next:
AI Recommendations Based on Your Results

• Specific recommendations, such as "Two more carousels like the pricing explainer."
• Formats to prioritize on each platform.
• Topics to repeat, refresh or pause.
• Best times for your audience.
• One request to turn any recommendation into a post, ready for your approval.

The Analyst looks at what worked in recent weeks, the Researcher adds upcoming trends and occasions, and the Competitor analyst adds market context. The Strategist then turns this into a short list of next posts.

1. 1Make another myth-busting Reel; last week's was your most shared post.
2. 2Post a carousel on braces costs; it is the most asked question in your DMs.
3. 3Move Instagram posts to 7 PM on weekdays.
4. 4Pause generic "smile" quote posts; they underperform.
5. 5Prepare a wedding-season smile makeover campaign.

Recommendations come from what your own audience does, not from generic best practices. Each week builds on the last, so your posts get sharper over time.

Generic advice, such as "post more Reels" or "use trending audio," ignores your audience, your industry and your goals. A clinic, a bakery and a CA firm need very different content. Zoe's recommendations come from your own results, your competitors and your calendar, so they fit your business.

1. 1Read the recommendations every Monday alongside your weekly report.
2. 2Pick the top two or three that match your goals.
3. 3Ask Zoe to create those posts.
4. 4Approve and schedule them.
5. 5Check results the following week to confirm the recommendation worked.

Recommendations: post a carousel on the upcoming tax deadline, repurpose the best GST tip as a LinkedIn post, reply faster to DM questions about company registration and pause weekend posting, which shows little engagement for this audience. The founder approves two posts in five minutes.

Before: the weekly question "What should we post?" eats time and produces random content. After: a short, data-backed list ready to turn into posts.

Track the average performance of recommended posts compared with other posts. Over a few months, the recommended posts should keep beating the rest. That shows the loop of measure, learn and create is working.

Connect your accounts, let a few weeks of data build up and ask Zoe, "What should we post next week?"

Treat recommendations as experiments, give each a fair test and share results with your team.

For groups with many branches, Zoe makes recommendations for each location and for the brand as a whole. A branch with strong reviews is told to post more testimonials, while a quiet branch is told to use the top branch's Reel format. Head office sees which recommendations were acted on and how they performed, so best practices spread across the network.

• Acting on every recommendation at once.
• Ignoring recommendations that challenge your favorite content.
• Judging results after a single post.

Make two more before-and-after Reels, answer the "keratin price" question in a carousel, post bridal packages ahead of wedding season and pause plain offer images, which underperform for this audience.

Owners who want a clear weekly direction, marketing managers planning with limited time and agencies preparing client plans.

Keep one slot each week for an experiment Zoe suggests, such as a new format or platform. ZocialOne posts to 8 social networks, so there is always a new one to test.