Unfortunately, AI-Generated SEO articles are a race to the bottom, with everyone churning out the same keyword-stuffed fluffy low value articles with the same tired phrasing, "In the <everchanging|fast-paced|dynamic> world of <topic|industry|function>.. crucial crucial. "In today's digital age..."
Id like you to consider what is the true value-add here not from the perspective of getting paying customers, but from the perspective of the final end customer (the reader). Putting more low quality ai-generated content on the web degrades the experience.
Its nice when you can buy $60/bushel wheat. Its not so nice when your dealer cuts you off.
The extra $40/bushel you pay to produce in-house, thats your insurance policy against having your supplies cut off. In a world where geopolitical lines are shifting, it's a matter of national security and optionality to have your own food production capacity. Risk management.
Without knowing your customers, your product, your industry, or your use case, its difficult to give pointed advice. Here is some generic advice:
- You need to learn more about the value proposition of your product so you can best align price with value. If your product saves me $1m/year, that will have very difference pricing than if it saved me $100/year
- If adoption is what you're optimizing for, I'd be in favor of having a completely free tier (even free of transaction costs) up to a certain level, then billing turns on after you reach that threshold. This means customers invest in wiring into your product because it makes them money. By the time they reach the billable threshold, they already see the value prop and happily pay instead of rewiring everything to a new platform.
- If early revenue is what you're optimizing for, start charging immediately to get some intelligence about what customers are willing to pay. If you get some early customers on an underpriced version, thats fine. Grandfather them in under goodwill (for now) and adjust the pricing for net new customers.
It was explained to me using the analogy of watching sports: One of the most entertaining activities for a human is to watch other humans do things. This is why professional sports leagues exist. This is also why “Watching people play computer games” is a perfectly reasonable entertainment option, despite it not being your preference.
I run a consulting firm that focuses on strategy, ops, and org for life science industry. I spent the first 10 years of my career in tech (worked at a few big names, ran a couple startups with nominal success). I still like technology for its applicability to business problems. Ive been on HN since 2007ish