I Use AI To Decide What To Post On LinkedIn (Viral Method) — Transcript

Full transcript

1. 0:00Here's how most people decide what to
2. 0:02post on LinkedIn. They sit down, open
3. 0:03LinkedIn, and stare at that post box
4. 0:06hoping some magic inspiration comes to
5. 0:08mind. They might, at a push, have a
6. 0:09little scroll through their timeline to
7. 0:11see if they can get an inspiration of
8. 0:13other people's posts. That's it. That is
9. 0:15actually the content [music] strategy
10. 0:17for so many LinkedIn posters out there.
11. 0:19And those very same people will then
12. 0:21scratch their head wondering why one
13. 0:22post will do very well, get 200 likes,
14. 0:24and the next will get only three. The
15. 0:26reason is all they're doing is guessing.
16. 0:28They're throwing a dart at the board and
17. 0:30hoping that it lands. What they don't
18. 0:31understand is that nowadays on LinkedIn,
19. 0:33you don't have to rely on guesswork.
20. 0:35Instead, the answer to what you should
21. 0:37post next from your LinkedIn [music]
22. 0:38account is sitting right in your account
23. 0:40itself. The data is there in your
24. 0:42best-performing [music] posts from the
25. 0:43last 30 days. Every post you've put out
26. 0:45there is a little experiment that you
27. 0:47run on LinkedIn, and the results, the
28. 0:48data behind that post, tell you if that
29. 0:50experiment was a success, so something
30. 0:52you should [music] replicate in future
31. 0:53posts, or a failure, a topic you don't
32. 0:55want to go to again. Using this data,
33. 0:57you will never ever run out of LinkedIn
34. 0:59content ideas. In this video, I'm going
35. 1:01to show you how to read your own
36. 1:02LinkedIn data in just 3 minutes. I'm
37. 1:04then going to show you insights to how
38. 1:06you can use that [music] data to form
39. 1:08your next LinkedIn content strategy that
40. 1:09will go viral. I'm going to show you how
41. 1:11to do this manually first, but then I'm
42. 1:13going to show you a very cool trick how
43. 1:15you can use AI to do it on your behalf
44. 1:18on autopilot. [music] I have an AI agent
45. 1:20that reads every single post I've ever
46. 1:22written on LinkedIn and uses that data
47. 1:24to help me produce my next LinkedIn
48. 1:25[music] content post. I've been wanting
49. 1:27to share this strategy with you guys for
50. 1:28so long because it really has changed
51. 1:30the way I run my own LinkedIn account.
52. 1:32So, let's get into it.
53. 1:37My core belief here is that everyone
54. 1:39treats LinkedIn like a creative problem.
55. 1:41What should I say today? What topic
56. 1:43should I talk about? What hook should I
57. 1:44use? But that's the completely wrong
58. 1:46approach. LinkedIn content isn't about
59. 1:49creativity, it's about data. There are
60. 1:51so many data points attached to every
61. 1:53single post you put out there in the
62. 1:55ether. A test of the topic, a test of
63. 1:57the hook, a test of the first two lines,
64. 1:59a test the format, a test of the
65. 2:01creative, and all of that is being
66. 2:03tested not amongst random people, but of
67. 2:05your ICP audience. And LinkedIn lets you
68. 2:08access that data. It's just crazy that
69. 2:10no one uses it. Because using that data,
70. 2:12guesswork is a thing of the past.
71. 2:14Instead, you know exactly what kind of
72. 2:16post you should be writing, for who, and
73. 2:18in what format. The people who are
74. 2:19growing on LinkedIn more consistently
75. 2:21than you watching this video right now
76. 2:23are not better LinkedIn creators than
77. 2:24you. They are just listening to data
78. 2:26points that you aren't exposed to yet.
79. 2:28It really is as simple as looking at
80. 2:30what works and doing more of that thing.
81. 2:32That's the whole game. So, let me show
82. 2:34you how to look at that data. So, when
83. 2:35you're in LinkedIn, you're going to want
84. 2:36to open up analytics and filter by your
85. 2:39desired time frame. You can filter this
86. 2:40by 30 days or even pick a longer period
87. 2:43if you want to. It just depends on how
88. 2:44frequently you post. If you've got a lot
89. 2:46of posting data in the last 30 days,
90. 2:48that will suffice. You're now going to
91. 2:49see some data in front of you, and I'm
92. 2:51going to want you to ask yourself three
93. 2:53questions. Question one, which post
94. 2:55earned the most followers and why? Now,
95. 2:57of course, you can sort this by other
96. 2:59data points, for example, impressions,
97. 3:01but actually, I think you're going to
98. 3:02learn more by filtering by followers
99. 3:04gained. That's actually a pure intent
100. 3:06signal as to if your ICP audience found
101. 3:08it useful, looking at followers gained
102. 3:10by that post as opposed to impressions,
103. 3:12that's a little bit overly reliant on a
104. 3:14powerful hook as opposed to the whole
105. 3:15post. So, you're going to pick your top
106. 3:17three posts by followers earned.
107. 3:19Document them. Let's move on to question
108. 3:20two. Question two is looking closely at
109. 3:22those three posts you've chosen from
110. 3:24question one. What did the hooks have in
111. 3:27common? And when we talk about a
112. 3:28LinkedIn hook, we're just talking about
113. 3:29that first line or two that's normally
114. 3:31truncated behind a see more button. The
115. 3:33absolute most important part of any
116. 3:35LinkedIn post out there. So, look for
117. 3:37similarities. Did you use a stat? Did
118. 3:39you use a number? Was it a question, a
119. 3:41data point, a disrupting point of view?
120. 3:43Have a look and see if you can find
121. 3:45similarities. For me, they nearly always
122. 3:47include a number or a statistic. For
123. 3:50example, I studied LinkedIn's number one
124. 3:52creator or I sent 85,000 LinkedIn DMs.
125. 3:55And then the second line is always
126. 3:57pushing them to click see more onto the
127. 3:58rest of the post. Something like, here's
128. 4:00what I discovered. Here's what I
129. 4:02learned. So, that's a pattern I've
130. 4:04learned works on my LinkedIn accounts
131. 4:05that I should probably start using on
132. 4:07future posts, too. Now, the third and
133. 4:09final thing to look at is if those three
134. 4:11posts shared a topic or a common theme.
135. 4:13And I want you to be as specific as
136. 4:15possible when doing this research.
137. 4:16Saying something like LinkedIn tips or
138. 4:18marketing strategies, that is way too
139. 4:21vague. The LinkedIn algorithm wants to
140. 4:22put you in a box and fully understand
141. 4:24exactly what you offer, who you offer it
142. 4:26for, and how you help those people. The
143. 4:29more specific you can be, the more
144. 4:30specific LinkedIn's algorithm can be by
145. 4:32showing your posts to the right people.
146. 4:33Consequently, they'll perform a lot
147. 4:35better. Something as specific as all
148. 4:37these three posts teach B2B founders of
149. 4:39small to medium-sized businesses how to
150. 4:41grow on LinkedIn. What you're starting
151. 4:43to do with this activity is create rules
152. 4:45for your accounts. The topic you should
153. 4:47post about, the format you should post
154. 4:49about, the hook you should use, and any
155. 4:51other similarities you see with that
156. 4:52post. This tactic is actually deployed
157. 4:54by some of the biggest LinkedIn
158. 4:55influencers in the game. For example,
159. 4:57Justin Welsh with over 800,000
160. 5:00LinkedIn followers has his own 20 by 20
161. 5:02rule. It uses the exact same principle
162. 5:04of what we've gone through in this video
163. 5:06of finding out what's worked from
164. 5:07previous posts and replicating that
165. 5:09success. His 20 by 20 rule is find your
166. 5:11best 20 performing posts and write each
167. 5:13one of them 20 different times. That's
168. 5:15going to give you 400 posts to go out
169. 5:17from your own LinkedIn profile. That's
170. 5:19going to leave you flooded with content
171. 5:20to put out for the next year or two.
172. 5:26Now, before I get on to what's really
173. 5:27the most exciting part of this video,
174. 5:29which is how I set up AI to do this
175. 5:31completely on my behalf on autopilot, I
176. 5:33want to quickly call out that if you are
177. 5:35enjoying this video, please do like and
178. 5:36subscribe. It's just one video I'm doing
179. 5:38on a massive series on how to win on
180. 5:40LinkedIn. Whatever you're trying to
181. 5:41achieve on LinkedIn, whether it's new
182. 5:42clients, virality, to make money on
183. 5:44LinkedIn, or to just grow as a key
184. 5:46person of influence on LinkedIn, this is
185. 5:48the channel where you find out how to do
186. 5:50just that. I'm trying to build the
187. 5:51biggest online community of people like
188. 5:53you and me trying to win on LinkedIn.
189. 5:54So, subscribe and let's get back to the
190. 5:56video.
191. 6:00So, the shortcut using AI, this is is
192. 6:02the video gets pretty exciting. And I'll
193. 6:04be honest, I did this process manually
194. 6:06for the last 2 years. I had to gut out a
195. 6:09few hours every week to set up this
196. 6:11process of reporting on previous week's
197. 6:13posts and using that data to set up the
198. 6:15post for the next week. However, that is
199. 6:17a thing of the past thanks to AI. The
200. 6:19tool I use to conduct this task in just
201. 6:212 minutes is Taplio. Using Taplio, I can
202. 6:25report on the data of previous posts and
203. 6:27actually use Taplio to generate the
204. 6:29drafts for new posts for the next
205. 6:31content calendar in just 2 minutes. The
206. 6:34beauty of that is because it takes me so
207. 6:36much less time, I now conduct this on a
208. 6:38weekly basis as opposed to a monthly
209. 6:40basis, meaning I'm much more hands-on
210. 6:42with my data and I'm scheduling content
211. 6:44just for the next week, not for the next
212. 6:45month. Now, that switching cadence
213. 6:47that's been enabled by this task only
214. 6:49now taking me 2 minutes is more
215. 6:51important than you think. The LinkedIn
216. 6:52algorithm changes constantly. It changes
217. 6:55every week, every month, every year
218. 6:57because likely LinkedIn's algorithm
219. 6:59rules would have changed by the end of
220. 7:00the month and I don't want to be writing
221. 7:02posts from the month before and using
222. 7:03the LinkedIn algorithm's rule there and
223. 7:05expecting it to go viral at the end of
224. 7:06the next month. Doing it in weekly
225. 7:08bursts is much more effective and it
226. 7:10also allows me to be much more agile
227. 7:11with the topics I use in my posts. For
228. 7:13example, if there's a new story or
229. 7:15something going on right this week, I
230. 7:17can go and write a post about it using
231. 7:18Taplio rather than having to put it at
232. 7:20the end of my content calendar and it
233. 7:22comes out a month in advance. Suddenly,
234. 7:23no one's interested in that news
235. 7:25anymore. Let me show you this awesome
236. 7:26tool. It's called Taplio and actually
237. 7:28the agent I use inside Taplio is called
238. 7:31Ask Taplio. Now, you're probably asking
239. 7:33yourself the same question I asked
240. 7:34myself when I first stumbled upon this
241. 7:36tool. Why use it and not use ChatGPT or
242. 7:38Claude or another AI agent? Two reasons.
243. 7:41One is connected to your entire LinkedIn
244. 7:43post history. So, when it's writing your
245. 7:45new post, it's actually putting data
246. 7:47from every single LinkedIn post you've
247. 7:49ever written. Using a ChatGPT or a
248. 7:51Claude in order for them to do that,
249. 7:53they'd have to open up every single post
250. 7:55every single time, which is a very long
251. 7:57process and at the end of that long
252. 7:58process, they'll give you a spreadsheet
253. 8:00to export and use in your posts. It's
254. 8:02clunky, it's time-consuming and suddenly
255. 8:04we're not spending 2 minutes on this
256. 8:05task, we're spending 2 hours again.
257. 8:07Secondly, there's absolutely nothing to
258. 8:09set up. No connectors, no API, no MCP,
259. 8:12no prompt library or saved memory about
260. 8:15my business and what I like to talk
261. 8:16about on LinkedIn, and no Claude or
262. 8:18ChatGPT subscription. You simply type
263. 8:20your question in the box and you get
264. 8:21your data reading. So, let's show you a
265. 8:23real-life example of how this works in
266. 8:25Taplio. I can prompt it, "What worked
267. 8:27this month? Give me a short reading of
268. 8:29my last 30 days, which post brought
269. 8:31followers, what the first lines had in
270. 8:33common, and which topics won?" Now, how
271. 8:36cool is that? It's gone into my LinkedIn
272. 8:37account and found those three posts. It
273. 8:39pulls the real genuine numbers from my
274. 8:41account without guessing, and that's
275. 8:43going to be the foundation on which it
276. 8:44builds the post for me on later. Now,
277. 8:46Taplio can also be really useful to you
278. 8:48if you haven't posted much on LinkedIn.
279. 8:50Perhaps you're pretty new to LinkedIn
280. 8:52and you haven't got much history, much
281. 8:53data to go off. Here's what I recommend
282. 8:55you do if you're in that situation. I'd
283. 8:57ask, "What's working in the space, in
284. 8:59the industry, on LinkedIn right now?"
285. 9:01You can prompt ask Taplio, "Watch my
286. 9:03news, show me what's working in my space
287. 9:05right now." Suddenly, you've got a
288. 9:07starting brief to use as a foundation
289. 9:08for your LinkedIn posts until you've
290. 9:10built up your own data set. So, you've
291. 9:12got the data from ask Taplio, the only
292. 9:14thing to do now is get it to write your
293. 9:16LinkedIn post for you. And this is the
294. 9:17part where I see so many people get it
295. 9:19wrong when they use a normal LLM like
296. 9:22ChatGPT or Claude. They give it a topic
297. 9:24and say, "Go and write a LinkedIn post."
298. 9:26For example, "Write a LinkedIn post
299. 9:28about cold email." And they get the same
300. 9:30post that a million other people got
301. 9:32that week because they use the same
302. 9:33boring prompts in Claude. Using Taplio,
303. 9:35it has the rules from your account based
304. 9:38on your data, so your post is unique and
305. 9:40primed to succeed in your own LinkedIn
306. 9:42algorithm. So, let's prompt it. Let's go
307. 9:44with "Draft my next LinkedIn post from
308. 9:46this data reading. Keep my tone, and I
309. 9:49want one number or statistic in the
310. 9:51first line of every post. Stay on
311. 9:53outreach and DMs as a topic and keep
312. 9:55every post under 150 words." Now, these
313. 9:58are just example rules that I've shown
314. 10:00you could deploy for your LinkedIn
315. 10:01posts. It's based on if you found out
316. 10:03that those things are best performing on
317. 10:06your account. So, I want you to identify
318. 10:07those rules, set some guidelines, and
319. 10:10then set them up as hard concrete rules
320. 10:13in your Taplio account. Now I have a
321. 10:14LinkedIn post draft, just the one cuz I
322. 10:16only asked for one, but absolutely you
323. 10:18can run this at a larger scale. You can
324. 10:20ask Taplio to draft your LinkedIn post
325. 10:22for the next month or even beyond. And
326. 10:24what you'll see is a LinkedIn post
327. 10:26that's so so much better than one that
328. 10:28can be generated using Claude or ChatGPT
329. 10:30and no other prompts around it. It's so
330. 10:32good because it's writing to a brief
331. 10:34that my audience has already said it
332. 10:36wants because my audience has interacted
333. 10:37with similar posts from my profile
334. 10:40before. I like to give it three rules
335. 10:41just to make sure the output is as good
336. 10:43as it possibly can be. One, it has to
337. 10:45have read my entire post history, so it
338. 10:47knows what does work, what doesn't work.
339. 10:49Two, if I give it a constraint, it's
340. 10:51based on data and not just a vibe. For
341. 10:53example, saying it must be engaging
342. 10:55isn't really adding much to the post.
343. 10:57What does that really mean? But
344. 10:58something concrete and data-led like
345. 11:00include a statistic in the first line is
346. 11:02something actionable it can go and use
347. 11:04when building your post. Step three is
348. 11:06for me to manually review the whole
349. 11:07thing, particularly the hook. And I'm
350. 11:09never against rewriting the hook
351. 11:11personally myself. I always say you
352. 11:13should spend 80% of your time dedicated
353. 11:15to a LinkedIn post on just the hook
354. 11:16because it's the most important part of
355. 11:18the whole thing.
356. 11:23So, that's it. That's how you can use
357. 11:24Taplio and the AI agent Ask Taplio to
358. 11:28help you generate LinkedIn post content
359. 11:30ideas for the rest of your LinkedIn
360. 11:32career. These LinkedIn ideas aren't
361. 11:33plucked from the sky, it's not
362. 11:35guesswork, it's actually based purely on
363. 11:37one thing, your data from your audience
364. 11:40on your LinkedIn profile. The best thing
365. 11:42about it is it's going to get better and
366. 11:44better every time you use it. So, for
367. 11:46example, let's say you allocate 5
368. 11:48minutes every Monday to conduct this
369. 11:49task. By your 20th week of doing that,
370. 11:52it's going to have so much data as to
371. 11:54what you like, what you don't like, but
372. 11:56also what performs and what doesn't
373. 11:57perform. Because the more posts you put
374. 11:59out there from Taplio, it's going to
375. 12:00feed back into the tool to give you more
376. 12:02data for the next batch. This is going
377. 12:04to help you stay on top of current
378. 12:06themes that your audience is interested
379. 12:08in, but also any algorithm changes. For
380. 12:10example, your best-performing topic or
381. 12:12format or hook could well change month
382. 12:14on month because it's dynamic with
383. 12:16audience trends and the algorithm. This
384. 12:18allows you to stay on top of that
385. 12:19completely. Now, compare that complex,
386. 12:21intelligent process of LinkedIn posting
387. 12:23to how I opened the video with how most
388. 12:25people post on LinkedIn by opening the
389. 12:27LinkedIn feed, scrolling lightly, trying
390. 12:29to get some inspiration from somewhere,
391. 12:31and trying to write a post, forcing it
392. 12:33out there on that topic. Copy this
393. 12:34process and you'll see your engagement
394. 12:36skyrocket across the board from
395. 12:38impressions to followers gained, likes,
396. 12:40and comments. And best of all, using the
397. 12:42link in the description, you can
398. 12:43actually get a 7-day free trial of
399. 12:45Taplio, meaning you can start putting
400. 12:47LinkedIn content out there that's
401. 12:48data-driven at no cost at all. Using
402. 12:51this tool has absolutely revolutionized
403. 12:53my own LinkedIn posting. I hope this was
404. 12:54useful. I try and give you honest
405. 12:56feedback and reviews on the tools I'm
406. 12:58using on LinkedIn because my tech stack
407. 12:59on LinkedIn helps me grow, helps me get
408. 13:01viral, and helps me sign clients. So, go
409. 13:03and check it out. Use the link in the
410. 13:04description for that 7-day free trial
411. 13:06and let me know how you get on. As
412. 13:08always, thanks for watching this video.
413. 13:09If you haven't already, make sure you
414. 13:11like and subscribe because I've got lots
415. 13:12more exciting content coming your way
416. 13:15later this year. Have a fantastic day.
417. 13:17Thanks for watching. I look forward to
418. 13:18seeing you on the next one.