By Amanda Leon, founder of OilMoney.io. Houston-raised, came up in the Houston marketing team of Vallourec, and has run Unrth, a brand and growth studio for oil and gas and industrial companies, since 2017, with her boots on client locations in Midland and Odessa. Last reviewed October 20, 2026.
An oilfield salesman we interviewed told us that "no one in our industry wanted to read." Now there's an app on your phone that can knock out this week's post before you clear the next cattle guard, and it will write all the words you want. Words were never what this industry was short on.
Posts that look machine-made and say nothing of their own don't work for an oil and gas rep, and LinkedIn said in 2026 that it spreads those less. Let AI do the legwork, and keep the opinion and the words your own.
What LinkedIn Said About AI-Looking Posts
On March 12, 2026, LinkedIn said its feed would show more posts that share actionable insights and conversations from industry experts, and less engagement bait, fewer videos unrelated to their text, and less generic, repetitive thought leadership. The same day, LinkedIn's engineering team announced a new feed ranking system powered by large language models that reads more than a thousand of a member's past interactions to decide what they see, including posts from experts outside their network.
On May 20, 2026, LinkedIn's Laura Lorenzetti wrote that posts that appear AI-generated and lack a clear viewpoint are less likely to be widely distributed beyond a person's immediate network.
A smooth paragraph about safety culture that any company in any basin could have posted fits that description to a T. A rep's real opinion about a real job doesn't fit it at all.
What the 'Seems Like AI Slop' Button Did to Reach
Readers got a say, too. On August 19, 2026, LinkedIn's Hari Srinivasan said over a million people clicked "seems like AI slop" in two weeks, and content classified as AI slop was getting 40% fewer views than a few weeks earlier. That 40% covers posts LinkedIn classified as slop, not every post that had AI help.
The lost views are the small cost. A buyer who tags your post as slop has made up his mind about you, and no dashboard shows it. No public study as of October 2026 measures AI-written posts with oil and gas buyers, so the AI numbers on this page are LinkedIn-wide. But a buyer who has spent years on locations can usually tell a post by someone who has stood on one from a post about one.
For the bigger questions, see whether AI will change how oil and gas buyers find vendors and whether AI will replace sales jobs in oil and gas.
Where AI Helps: Research Notes and First Drafts
AI tools win at the grunt work: account research, call notes, list cleanup, and first drafts you rewrite in your own words. Take the Railroad Commission of Texas numbers for September 2026: 323 permits to drill new oil or gas holes in District 8, the most of any district, out of 759 original permits statewide. A tool can turn that release into a tidy summary. Knowing which of those permits belong to your customers, and what those crews will need first, is the part only you bring, and it's the clear viewpoint LinkedIn's own people wrote about.
Use AI for the notes and write the opinion yourself. (My neuroscience degree from Occidental College included artificial intelligence coursework starting in 2009, years before it was a buzzword, applied to how buyers decide and trust. Trust is the part a tool can't write for you.) More in oilfield sales skills AI can't replace, staying known in the Permian through good years and bad, and, if you plan to do it all yourself, the hours, the tools, and the bill.
What About AI-Written Messages?
On messages, the LinkedIn data is about recruiters, and it's from 2022. Its analysis of tens of millions of InMails sent by corporate recruiters from May 2021 to April 2022 found the shortest got response rates 22% above average and the longest 11% below it, and InMails sent one at a time did about 15% better than bulk sends.
Recruiting isn't selling, so take it as a hint, and the hint points to short and one person at a time. A message blasted to a list by a tool is a bulk send with better grammar. We don't recommend automated messaging. Write it yourself, keep it short, and send it to one person who has a reason to hear from you.
Keeping Your Own Voice on a Steady Schedule
If you're reaching for AI, the schedule is probably what's pushing you. One good post from the truck is doable. Three to five a week, every week, while you work, is where it falls apart.
The fix is to capture your stories and your voice once, then draft from them. That's what The Warm Walk-In™ does for a rep: one story dump a quarter, typed or spoken from the truck, becomes posts in your voice on a fixed calendar, three to five a week, never more than one a day. The voice guide from The Rig-Up keeps a steady schedule from sliding into generic, because it comes from your own intake: how you talk, what you'd never say, and your off-limits list. Nothing goes up under your name without your yes. Topic ideas are in what to post on LinkedIn as an oilfield sales rep.
People ask me whether AI writes our posts. My neuroscience degree included artificial intelligence coursework starting in 2009, so I'm not afraid of the tools. But the one thing AI can't replace is the lived-in story. That's why every post starts with your story dump, and nothing goes up under your name without your yes.
Why We Moved One Founder From Technical Posts to Stories
The Permian founder we work with started with technical posts, and at month three they were doing fine and nothing more, so we moved him to stories. He approved a full quarter in the new style and wrote back: "I love the new style. It is much more engaging and informative." Read the full story.
Find Out If Your Profile Sounds Like You
Your profile is the first thing a buyer reads after your post. Make sure it sounds like the man who wrote it.
Send us your LinkedIn. We'll send back the Bison Walk-Around: five minutes of plain English on what's costing you callbacks and what we'd build. No call. No invoice. We give first.
Selling services in the field? Start with our page for oilfield service sales reps.
Sources and As-Of Dates
- Updates to the LinkedIn Feed: focusing on authentic, relevant content (Tim Jurka, LinkedIn), March 12, 2026. Feed changes.
- Engineering the next generation of LinkedIn's Feed (LinkedIn Engineering, Hristo Danchev), March 12, 2026. The new ranking system, in LinkedIn's own words.
- Keeping conversations real on LinkedIn (Laura Lorenzetti, LinkedIn), May 20, 2026. AI-looking posts without a clear viewpoint.
- LinkedIn post by Hari Srinivasan on AI slop feedback, August 19, 2026. Slop clicks and views. Platform-wide, not specific to oil and gas.
- How to Improve Your InMail Response Rate, According to LinkedIn Data (LinkedIn Talent Blog, Greg Lewis), May 19, 2022, covering May 2021 to April 2022. Recruiter InMails, not sales outreach.
- Texas Drilling Permit and Completion Statistics for September 2026 (Railroad Commission of Texas), released October 12, 2026. Permits by district.
- Our interview with an oilfield salesman. His words are quoted without his name.
- The founder's written feedback on the move to stories, held by Unrth. Details in the full proof story.
The Warm Walk-In™ is an original method created by Amanda Leon and owned by The Valours Creative Innovation LLC.