The AI Social Playbook

Most social pros skip outreach because doing it properly for even ten people eats a morning, and the software that automates it is priced for sales teams. Taylor Logue rebuilt hers as AI for social media work instead: one computer-use agent that sources its own prospects, with Claude holding the voice.

The agent finds the contacts itself, so the separate prospect database comes out of the stack.

Twenty connection requests a day for a month, and it still has not run out of matching people.

She makes it produce a CSV rather than send, so the LinkedIn accounts stay out of risk and every message gets read first.

Two Claude Skills carry her brand voice and her ideal client, written once and reused.

An agent that never asks clarifying questions turns a thin brief into a wasted half hour.

Outreach data gives her an attribution story that impressions never did.

CHAPTERS

00:00 The prospect database she stopped paying for

01:00 Why most social pros never actually do outreach

04:00 What the off-the-shelf outreach tools get wrong

05:00 Why two good tools beat twenty

06:00 What a computer-use agent does on your screen

07:00 Scheduling the daily run so the list is waiting for you

08:00 Why she makes the agent stop at a CSV instead of sending

09:00 The contact database that dropped out of the stack

11:00 The Claude Skills holding her voice and her ideal client

12:00 Why an agent that never asks questions needs a fuller brief

15:00 Her gut check on whether a DM still reads human

17:00 What changed about why clients hire her

20:00 Where to find Taylor

https://www.agorapulse.com/blog/ai-social-playbook/e13/

CONNECT WITH TAYLOR LOGUE

Website

LinkedIn

Instagram

Connect with Mike Allton

Put AI for social media to work across your whole team with Agorapulse - publishing, inbox, listening and reporting in one place. Try it free

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Writing a client proposal isn't hard, but getting yourself to start is. Corey Walker shows the Claude Project that drafts hers in about two minutes from her call notes, and the places she still sets the price herself.

WHAT YOU'LL LEARN

What goes in the project instructions, and why past proposals go in as context

The short per-client prompt: what the client needs, her hourly rate and an hour estimate

How Claude's detailed scope reminds her to charge for work she'd have done free

Why she lowers Claude's price for some small businesses, and when Claude shows she's undercharging

Why a proposal that takes minutes still waits a day before it goes out

How to use the same setup for campaign briefs that ask you for missing sections

CHAPTERS

00:00 Claude tells her to charge another hour

01:23 Proposals before Claude: a Canva template and a lot of dread

02:41 From one-off chats to a Claude Project

04:24 Where every proposal starts: a spiral notebook or Zoom notes

06:26 A branded draft in two minutes, then tweak or download

08:06 When Claude says to charge another hour

09:51 Setting up the project: description and instructions

13:23 When Claude's price is too high for the client

14:08 When Claude shows she's selling herself short

14:38 Why she still waits a day before she sends it

16:29 Using the same setup for campaign briefs

17:26 Tell Claude to ask when a section is missing

https://www.agorapulse.com/blog/ai-social-playbook/e12/

CONNECT WITH COREY WALKER

Website

LinkedIn

Instagram

Connect with Mike Allton

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

LinkedIn decides whose posts you see, and the people you most want to network with get buried. Judi Fox built rooms with Claude: hand-picked groups of up to 29 people, each one a single tap away from a LinkedIn feed of only their posts.

WHAT YOU'LL LEARN

What a room is, and why Judi describes it as Clubhouse meeting Google+

How she built a room from an event post in under an hour and used it to recognize people at the door

Why rooms cap at 29 seats and send you to LinkedIn's own feed

Where AI got LinkedIn profiles wrong, and the manual step she kept because of it

Why AI-written comments feel empty to the people receiving them

How showing up in a prospect's circle beats chasing the prospect

CHAPTERS

00:00 A room she built before an in-person event

01:26 Why she stopped letting an algorithm pick her network

02:59 Why Sales Navigator is overkill for this job

05:37 Clubhouse meets Google+: what a room is

07:37 Rooms for prospects, partners and future employers

09:09 Building a room an hour before RVA Showcase Night

10:51 Recognizing faces on her phone at the door

14:35 Why every room caps at 29 seats

15:39 It sends you to LinkedIn; it never scrapes it

16:00 The curator page and the step she keeps manual

18:39 Don't let AI write your comments

20:35 Network the prospect's circle, not the prospect

22:58 AI that surfaces moments instead of faking them

https://www.agorapulse.com/blog/ai-social-playbook/e11/

CONNECT WITH JUDI FOX

Website

LinkedIn

Instagram

Connect with Mike Allton

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Building a social campaign usually means writing every post in one place and then rebuilding every graphic somewhere else. Peg Fitzpatrick wrote a Claude skill that does both from a single brief and hands back editable Canva designs.

WHAT YOU'LL LEARN

Why Peg refuses to publish AI-generated imagery for a brand, and what she built instead

What goes inside a campaign skill: brand voice, a what-to-avoid list, hashtag rules, and per-platform output

How one brief produces Instagram captions, story graphics, Pinterest pins and LinkedIn variations in about two minutes

Why the designs download with no AI label attached, and her reasoning for it

The flaw in the Canva handoff and the quick check that catches it

What a decade of campaign experience contributes that the model cannot

CHAPTERS

00:00 Why more expertise beats a better prompt

01:22 She will not use AI graphics for a brand she works for

02:29 Forty templates built once, reused all month

03:27 Setting up the Canva connector before anything runs

04:20 Opening the campaign skill she wrote

05:35 The what-to-avoid list that keeps copy off-template

07:16 The Pinterest end-date flag most people forget

09:23 How much detail the demo prompt actually needs

12:04 The full campaign lands in about two minutes

12:23 Why her posts come back with no AI label

14:34 She never sends a design back for revisions

15:05 The one thing the Canva handoff gets wrong

18:16 Why this takes more expertise, not less

20:44 What a month of saved time actually buys her

https://www.agorapulse.com/blog/ai-social-playbook/e10/

CONNECT WITH PEG FITZPATRICK

Website

LinkedIn

Instagram

Connect with Mike Allton

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Every agency has a client contact list sitting in a spreadsheet, and pasting it into a chatbot puts personally identifiable information on somebody else's servers. AJ Wilcox, who has managed over $200 million in LinkedIn Ads spend, cleans those lists with a model running in his own basement and then builds the LinkedIn audience from the result.

WHAT YOU WILL LEARN

An AI agent can agree to pass your data to a local model and then process it itself. AJ makes it confirm the handoff before he uploads anything.

The client list never reaches Anthropic or OpenAI. It goes to a model running under Ollama on a Mac Mini, driven from a Telegram channel.

986 contact records across three tabs became three LinkedIn-ready CSVs, with nobody copying a column by hand.

Email addresses alone get you roughly a 50 percent match rate on LinkedIn. First name, last name, title and company gets you 90 percent or better.

LinkedIn's brand kit holds your logo, colors, fonts, and a description of your voice, and everything Draft with AI produces is shaped by it.

Asked what AI lets him do that he could not do two years ago, AJ said nothing. The capability that changed his agency was Thought Leader Ads.

CHAPTERS

00:00 The match rate most advertisers settle for

00:37 Why a client contact list cannot go in a chatbot

01:23 One client lawsuit is all it takes

02:29 What happens to your data after it leaves your machine

03:39 A real client list: three tabs, no standard format

05:38 The copy-paste job that eats an afternoon per client

06:19 OpenClaw on a Mac Mini, driven from Telegram

07:17 Telling the agent to hand off the file and not read it

08:22 Why AJ makes the agent confirm before he sends anything

09:23 986 records mapped into LinkedIn's template

10:24 Building a matched audience in Campaign Manager

11:14 What LinkedIn tells you 48 to 72 hours later

12:16 Four fields that beat an email address

13:40 What goes into a LinkedIn brand kit, and what stays out

15:37 Filling the brand kit from an Archie playbook

17:42 The honest answer about what AI unlocked

18:00 Thought Leader Ads and cheaper retargeting

https://www.agorapulse.com/blog/ai-social-playbook/e9/

CONNECT WITH AJ WILCOX

Website

LinkedIn

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Most podcast repurposing depends on whoever has time that week, so it comes out inconsistent or not at all. Rich Brooks of Flyte New Media shows the Claude project that drafts his blog post, social copy and SEO fields from one transcript, and how he keeps it sounding like him.

KEY TAKEAWAYS
Rich spends five to 10 minutes editing a Claude draft instead of two to three hours writing the post himself.
His project instructions set exact rules per platform, including no hashtags on Facebook and "link in bio" on every Instagram post.
He uploaded finished outputs he was proud of as knowledge docs so the project could see what good looks like.
When the drafts overused "actually," Rich capped it at once per post, and the project now reports what it removed.
Republishing the edited post as a Friday LinkedIn newsletter takes about 10 minutes and has drawn more than 1,300 subscribers.

CHAPTERS
00:00 Two to three hours per blog post, cut to 10 minutes of editing
01:19 Why repurposing broke down whenever client work came first
04:02 Recording in Descript and exporting the transcript
07:49 "Do your voodoo" and uploading the transcript as markdown
08:08 Descript returns 10 clips, Rich keeps the best three
10:50 Capping "actually" at one use per post
12:29 Republishing the blog post as a LinkedIn newsletter
16:04 Uploading finished examples as knowledge docs
18:29 Why a raw transcript may rank worse than a structured post
21:05 What changed on social: LinkedIn and YouTube, not Facebook
22:50 Where to find Rich

https://www.agorapulse.com/blog/ai-social-playbook/e8/

CONNECT WITH RICH BROOKS
Website
LinkedIn: 

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The customer interviews that would tell you what your buyer thinks take weeks to book, and a survey only answers the questions you already thought to ask. Luan Wise builds a B2B buyer in Claude from research she already had, interviews her live, and switches Claude into the marketing lead's seat to work out what the answers mean for the campaign.

KEY TAKEAWAYS

Luan starts every persona from customer research she already has, because a blank page leads Claude down the wrong path.

Her seed prompt tells Claude to stay in character, skip generic marketing advice, and say so when something is uncertain.

Switching Claude from Sarah to the provider's marketing lead in the same chat turns the interview into an instant debrief.

Sarah rated her protection a four out of ten, and admitted she'd never asked her IT provider a direct question about it.

Her biggest barrier was the relationship: she didn't want her provider to feel accused, so she wants prep material and plain language before any sales call.

Luan asks Claude for a percentage confidence on its answers, and keeps asking why when the number comes back low.

CHAPTERS

00:00 The buyer who assumed her IT provider had it covered

00:54 Why Luan swapped surveys and focus groups for AI role-play

02:12 Plan your scenarios before you type a prompt

03:16 The seed prompt: build Sarah from research you already have

05:19 The follow-up question a survey could never ask

07:17 Sarah rates her protection a four out of ten

08:30 Switch seats and let Claude debrief as the marketing lead

11:34 Would Sarah actually ask her IT provider?

12:19 "I've been asking the wrong question all along"

13:25 What Sarah's answers mean for your content and your jargon

15:23 Turn the avatar into a one-pager, a landing page or an email test

16:47 How to stop the persona agreeing with you

19:05 The biggest mistake: starting from a blank page

20:02 Geoff Woods and the AI board of directors

22:02 Where to find Luan

Luan shares her screen for most of this session, so the video is worth a look on YouTube.

Full episode breakdown and the blueprint: https://www.agorapulse.com/blog/ai-social-playbook/e7/

CONNECT WITH LUAN WISE

Website: https://www.luanwise.co.uk/

LinkedIn: https://www.linkedin.com/in/luanwise/

Instagram: https://www.instagram.com/luanwise/

THE AI SOCIAL PLAYBOOK

YouTube: https://www.youtube.com/@TheAISocialPlaybook

Apple: https://podcasts.apple.com/us/podcast/the-ai-social-playbook/id6808658318

Spotify: https://open.spotify.com/show/4tmvz9PRDHA9qX2SCoFF8h

Connect with Mike Allton: https://www.linkedin.com/in/mikeallton/

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Generic prompts produce generic social posts, and the good ones you do write get stranded in a chat window you cannot find again. Loren Bartley fixed both with the same move: over 150 named skills inside one Claude project, handing work to each other until a week of posts lands in Agorapulse as drafts.

KEY TAKEAWAYS

A skill carries your standards as well as your instructions, so the work runs to the same bar every time instead of drifting with whatever you typed that day.

A chat with no memory of your past positions will contradict you across a month of posts, and you will miss it because you did not write them.

Loren rewrites her old talks with a skill called Trini before they enter her knowledge folder, so her ums and tangents never become source material.

Constance plans the quarter, Edison plans the week, Connie assigns the batch, and each one saves its output for the next cycle to read.

Naming 150 skills after their jobs turns the list into a retrieval system, which is how Audrey Ads Auditor gets found.

Agatha checks the approved rows before staging them and caught Loren attaching a still image to a post briefed as video.

CHAPTERS

00:00 Why another post stopped feeling like a chore

00:52 The two bottlenecks that had nothing to do with writing

02:17 Why a fresh chat every time produces contradictions

03:41 What a skill holds that a saved prompt does not

06:22 Inside the Content Accelerator project and its knowledge files

08:12 Trini rewrites her old talks before they enter the knowledge base

09:29 Constance builds the quarterly content reference guide

11:38 Edison turns the strategy into a weekly cycle brief

15:09 Naming 150 skills so she can find the right one

16:22 Connie assigns the batch to Caprice, Vivian and Hugo

17:51 Hubert's Notion hub replaces posts buried in chats

21:13 Agatha stages the approved rows into Agorapulse

23:17 Agatha catches the still image on a video post

26:22 What Loren does with the time she got back

28:04 Where to get Edison

Loren shares her screen for most of this session, so the video is worth a look on YouTube.

Full episode breakdown and the blueprint: https://www.agorapulse.com/blog/ai-social-playbook/e6/

Loren is giving away Edison, the skill that builds her weekly cycle brief: https://aimegasuccess.com/academy

CONNECT WITH LOREN BARTLEY

Website: https://impactiv8.com.au/

LinkedIn: https://www.linkedin.com/in/lorenbartley/

Instagram: https://www.instagram.com/impactiv8/

THE AI SOCIAL PLAYBOOK

YouTube: https://www.youtube.com/@TheAISocialPlaybook

Apple: https://podcasts.apple.com/us/podcast/the-ai-social-playbook/id6808658318

Spotify: https://open.spotify.com/show/4tmvz9PRDHA9qX2SCoFF8h

Connect with Mike Allton: https://www.linkedin.com/in/mikeallton/

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Most social content gets built from random topics or from pillars that name subjects rather than objections, which earns engagement and no sales. Molly Mahoney maps the seven beliefs a buyer has to accept first, then turns one belief into a week of posts.

The seven belief categories are why me, why this, why you, why now, why not, why stay, and why worse.

Why stay is the category subscription products and memberships depend on, because the customer decides again every month.

Molly typed 9/11 into the why-now prompt on purpose and got a holiday-overwhelm line she called tacky and disrespectful. A human still decides which dates carry weight.

Her earlier version wrote a month of content at once and none of it got used, so this one caps the output at five posts from one belief.

A finished batch exports as a CSV and merges with the Agorapulse bulk upload template, so a week queues without retyping.

One client, a Toastmasters speaker who had only sold to friends and family, sold a $6,000 AI assessment and setup to a stranger after publishing against these beliefs.

CHAPTERS

00:00 The snarky meme that made Mike wince

00:38 Why content pillars don't move buyers

03:52 Brand first, beliefs second, one week of content per belief

07:29 One click, four beliefs per category

09:37 The 9/11 belief AI didn't know to refuse

10:11 Why stay, the category memberships and SaaS live on

12:06 Inside the story bank: quotes, metaphors, memes

14:58 Why the tool refuses to write a month at once

15:39 The five-post batch, conversation starter to POV meme

19:18 CSV export straight into Agorapulse bulk upload

22:55 The $6,000 sale to a total stranger

https://www.agorapulse.com/blog/ai-social-playbook/e5/

CONNECT WITH MOLLY MAHONEY

Website: https://mollymahoney.com/

LinkedIn: https://www.linkedin.com/in/mollygolive

Instagram: https://www.instagram.com/mollymahoneyofficial

Connect with Mike Allton: https://www.linkedin.com/in/mikeallton/

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Most social teams brainstorm content ideas from memory or a generic AI prompt, then wonder why nothing sounds different from a competitor's post. Christopher Penn, Chief Data Scientist at TrustInsights.ai, pulls real audience questions straight out of Reddit and turns them into a ranked list of 100 video topics.

In this episode:

Timestamps:

0:00 - The line that opens every failed AI pipeline

2:39 - Why Chris skipped Claude Code for OpenCode

5:05 - Mapping models by smart-and-cheap, not by brand

9:45 - Why a product requirements document comes before any code

13:31 - The one file that survives an AI's memory getting compressed

17:50 - Turning a Reddit export into a grounded notebook

20:51 - The exact prompt that produces 100 ranked questions

22:05 - Why a human still filters trolls and skips competitors

25:00 - Recording in a kitchen on purpose

29:07 - The YouTube setting that trains AI on your expertise

31:52 - The one trap that breaks every rushed AI pipeline

Guest: Christopher Penn, Chief Data Scientist, TrustInsights.ai

trustinsights.ai · christopherspenn.com · LinkedIn

Full show notes and transcript:

https://www.agorapulse.com/blog/podcasts/ai-social-playbook/e4

THE AI SOCIAL PLAYBOOK

YouTube

Apple

Spotify

Connect with Mike Allton

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.