The most expensive sentence I’ve ever written wasn’t about a product. It was “let’s just include all the keywords.” That decision cost $12,000, produced zero qualified leads, and left us with a page Google associated with woolly bears. This is a conclusion-first post: if a keyword list doesn’t pass a four-question filter, don’t write to it. I’ll show you the filter—and the exact list that broke my confidence.

Why this is my mistake to document

I’ve been managing B2B content for industrial and manufacturing clients since 2017. For eight years, I’ve handled editorial projects for brands that sell fluid connectors, hydraulic and pneumatic components, seals, and filtration systems. I’ve personally made (and documented) 11 significant content mistakes, totaling roughly $30,000 in wasted budget. The $12,000 woolly bear project was the reason I started maintaining the checklist we use now.

I didn’t fully understand keyword intent until a $12,000 content order came back completely wrong. In March 2023, we were preparing a content package for a distributor whose catalog included Parker-Hannifin product lines. The writer was ready, the pages were planned, and the keyword list came from a reputable tool. The first rows looked normal: “parker-hannifin,” “parker hannifin texas locations,” “parker hannifin ukg.” Then came “woolly bear,” “2020 lincoln,” and “difference between hawk and.”

I laughed, shrugged, and approved the list. (I know. Don’t repeat that.) I knew I should have checked every term against the search results before spending the client’s money. But I thought, “What are the odds? The tool is reputable.” The odds were 100%. We published a page that tried to connect a hawk comparison to a hydraulic seal catalog. It failed.

What the list actually looked like

Let’s be fair: not every “odd” search term is garbage. Some are just ambiguous. The problem is that an industrial content plan can’t treat all of them as equal. Here’s how I’d classify that list now:

  • parker-hannifin — a brand head term. It has volume, but it doesn’t tell you what to write. You can’t build a useful blog post around a brand name. The best result for this term is Parker’s official site or a clear distributor landing page.
  • parker hannifin texas locations — a commercial/navigational query. Someone wants to find a location, probably a service center or sales office. In energy and mining, Texas is a critical market, so a location page with addresses and product lines can actually generate leads. It is not a topic for a 1,500-word article.
  • parker hannifin ukg — an ambiguous internal-sounding string. We eventually learned it was an internal abbreviation in the client’s system. That’s why the first rule is to ask before assuming. A page about “UKG” would have been wrong for every reader.
  • woolly bear — pure noise. It’s the caterpillar of the Isabella tiger moth in many parts of North America, and it has no connection to motion-control components. If someone typed “woolly bear,” they were not looking for a Parker-Hannifin distributor.
  • 2020 lincoln — date-stamped and ambiguous. It could be a car, a president, or a brand name. If your content isn’t specifically about one of those, this term will never convert.
  • difference between hawk and — an incomplete query. It might become a birdwatching question, a military hardware question, or a metaphor from Hamlet. It has no actionable intent for an industrial supplier.

I get why these got into the list. Search tools capture what people type, not why they type it. And a word like “woolly bear” looks easy to ignore. But it’s not easy to ignore once it’s on a content calendar—especially when a writer is told to “use all keywords naturally.”

According to Parker-Hannifin’s public corporate profile, the company describes itself as a global leader in motion and control technologies—covering hydraulics, pneumatics, seals, connectors, filtration, and related systems. If a keyword doesn’t map to one of those categories, it’s not a Parker-Hannifin content topic.

That’s not a subtle point. It’s the whole problem: the keyword list had two relevant terms, one term that needed clarification, and three terms that were never going to be relevant no matter how many times we said “application expertise.” The fastest way to spot this is to ask a simple question: would Parker-Hannifin ever publish this page?

The four-question filter that saved our editorial calendar

After the March 2023 failure, I created a preflight checklist. Since then, we’ve caught 47 potential errors in 18 months—including another client list with “what does a hydraulic valve do” (good) next to “cardiovascular system” (bad). The filter has four questions:

  1. Can I create a page that truly answers this search? “Parker hannifin texas locations” passes if the page is a location page with useful details. “Woolly bear” fails because no industrial page should ever claim to be the best answer for that query.
  2. Does this term fit what the brand actually sells? “Parker hannifin ukg” can pass—but only after you verify what “UKG” means. The brand sells engineering products, so the page should be about a product or service, not a random acronym.
  3. Can we be the best result on Google? If the top results for a term are bird guides or car dealers, you don’t want that term. The best industrial result for “difference between hawk and” is probably some unrelated encyclopedia page. There is no version where a seal manufacturer owns that result.
  4. Is this term worth supporting twelve months from now? “2020 lincoln” includes a year. The searcher is not looking for a durable, evergreen engineering resource. Date-stamped and trend-driven terms belong in news or paid ads, not your core content plan.

If a keyword fails two or more questions, drop it. If it fails only one, discuss it. If it passes all four, that’s when you write the page.

What I would do with “Parker-Hannifin Texas locations” now

If I could redo that content package, I’d turn “parker hannifin texas locations” into a local landing page. It would list Texas service locations, the Parker-Hannifin product groups they support, and the industries they serve—especially oil, gas, mining, and heavy equipment. It would include a map, a phone number, and a few specific applications. I might add a short FAQ about lead times and emergency repairs. That page wouldn’t be a “blog post.” It would be a conversion asset.

Looking back, I should have fought for that page instead of approving a generic article. But at the time, the client wanted “content” and I didn’t push back. Now I do. The pushback is cheap. The $12,000 lesson wasn’t.

Where this filter doesn’t save you

I don’t want to oversell the checklist. If you’re launching a brand-new product category with no existing search demand, the filter will kill every idea. For a startup or a new technology, you need a different approach: thought leadership, industry events, direct outreach, and content that creates demand rather than capturing it.

This filter also fails if you’re not honest about what “best result” means. Sometimes a weird query is actually a hidden opportunity. “Woolly bear” won’t be one for an industrial brand, but “parker hannifin ukg” might be—if you’re willing to ask the client what it means. Don’t let a silly keyword make you dismiss a real one.

And if your list includes “2020 lincoln” or “difference between hawk and,” don’t force them into an article. Not every search term deserves an answer. A good content strategy is as much about what you don’t write as what you do.

The best Parker-Hannifin content I’ve published doesn’t mention woolly bears. It’s about specific application problems: choosing the right rod seal, preventing leakage in pneumatic systems, understanding filtration for mining equipment. Those pages rank, they get quoted, and they bring in people who actually need industrial components. That’s the whole job.

Parker Hannifin Engineering Desk

Technical notes for energy and mining equipment specification, commissioning, and lifecycle planning.

Previous: Next: Parker-Hannifin Facts, Repair Costs, and the Genuine vs. Aftermarket Divide