If you sell to farmers, you already know the selling season is short, customers are skeptical, and trust is everything. Who has time to write blog posts, update your Google Business Profile, and keep social media going, especially when you’re trying to move product during planting season? Do farmers even use Google?

The reality we see is most reps and marketers are lucky to publish one piece of content a month. In the offseason. That’s not laziness it’s bandwidth. The good news is the AI LLM tools can dramatically cut the time it takes to go from blank page to publish-ready, without making your content sound like it came from a robot.

Here’s a useful workflow to make it happen.

Step 1: Give the LLM (ChatGPT, Claude, Gemini, Grok) the Context It Needs and Store it (~30–60 min, one time)

Before an LLM can write anything useful for your business, it needs to understand who you are and who you’re talking to. Create a Project. Start with a prompt like this:

“I need you to act as an SEO and content expert with experience in agriculture, seed sales, and farmer-facing marketing. You understand the crop production industry and what drives farmers’ purchasing decisions. [Company Name] sells the following seed products and traits: [Product 1], [Product 2], [Product 3], [Product 4], [Product 5]. Our target customers are [corn/soybean/wheat/etc.] farmers in [region]. Review our website at [URL] and our Google Business Profile at [GBP link] and evaluate our SEO strengths and weaknesses. Write a detailed report with recommendations. Ask any questions you have.”

Don’t stop at one exchange. Talk to it. In this example, tell it about top-performing hybrids, key agronomic claims, and the questions farmers always ask at field days. Don’t forget the objections your reps hear most. The more context it has, the better it writes.

Save everything to your Project using “Add to project sources.” This will become your permanent, reusable knowledge base.

These tools are trained on massive amounts of internet content. It doesn’t know your specific data, your regional weather patterns, or the nuances of why your soybean “outperforms in high-pressure SCN fields” for example. Expect it to get you 80–90% there. This step is your base.

Step 2: Use your new SEO Audit to Improve Your Digital Presence (~1–2 hours)

Once the tool delivers its SEO report, work through the recommendations before adding more content. Sticking with our seed company example, gaps might include:

– Vague or missing product descriptions on the website
– GBP profiles that haven’t been touched since setup
– No content targeting the actual long tail search terms farmers use (“best drought tolerant corn hybrid in [state]” for instance)
– Missing calls to action for requesting a plot visit or talking to a rep

Make your updates, then bring the LLM back to re-evaluate.

Step 3: Generate a Few Pieces of New Content (~45–90 min to generate)

Rather than trying to crank out 30 pieces at once, think in weekly or monthly sprints built around one core product or topic. For each sprint, use this framework:

Social media prompt example:
“For [Product/Topic], write one long-form social post and two short-form posts designed to engage farmers on Facebook or Instagram. Each post should follow this format: Strong hook that stops the scroll → Speak to the farmer’s problem or risk → Show you understand it → Offer a confident, specific solution → Call to action including [rep contact / website / plot sign-up link].”

Google Business Profile example:
“Write 3 Google Business Profile update posts about [Product/Topic] that are helpful, local, and search-friendly.”

Blog post prompt:
“Write one SEO-optimized blog post about [Product/Topic] targeting farmers searching for solutions to [specific problem]. Include practical agronomic context, not just product promotion.”

That’s 7 pieces of content per sprint. More than enough for a month of consistent posting, all built around one focused message.

Step 4: Edit Until It Sounds Like You (~3–6 hours)

This is where most of the time will go, and it’s time well spent. LLMs will give you solid structure and good language, but it’s most likely generic or slightly off. Each editing pass should:

– Look for places to add real numbers from your data
– Reference local conditions, counties, or landmarks your customers know
– Replace overly polished marketing language with plain-talk (kill the adverbs)
– Check the call to action matches how you sell

Budget 60 minutes to edit a blog post and multiple social or GBP posts.

What Each Monthly Sprint Gets You (chart)

| Content Type | Quantity | Est. Editing Time |
| Social Posts (1 long + 2 short) | 3 posts | 15–45 min |
| Google Business Posts | 2–3 posts | 10–30 min |
| SEO Blog Post | 1 post | 30–60 min |
| Total | 7 pieces | ~1–2.5 hours a month |

One focused afternoon. One month of content. Built around a product your farmers actually need to hear about right now.

We know farmers use search engines. We also know farmers trust people who know what they’re talking about. Inconsistent content, or no content at all, signals you’re either too busy to share or don’t have much to say. Neither is a great look during a competitive selling season. Make a plan for content this year.

If you need help, the marketing team at US Farm Data is here to help. Ask about our content production and broadcast tools/processes.

If you already make a lot of great content, we can help you spread the word! Talk to one of our experts about your target audience today.