u/IndicationOne9495

I've spent the last few weeks working on automating meta descriptions for large Shopify catalogs, and a few counterintuitive takeaways:

• A "generic but optimized" meta description often beats a rushed manual one, but never beats a genuinely well-crafted one
• Image alt text has an underrated SEO impact on large catalogs (image search + accessibility)
• Automating 100% without human review creates keyword duplication that can hurt ranking

Has anyone else here tested SEO automation workflows at scale? How do you handle the speed vs quality trade-off?

I'm working on a feature that automatically updates meta descriptions and alt text for hundreds of products at once.

Using the Admin API GraphQL, I keep hitting the cost-based rate limit once I go past ~50 products per batch. I tried bulk operations (bulkOperationRunMutation), but the async processing delay makes it harder to give real-time feedback to the user.

How do you handle this trade-off between execution speed and throttling? Do you use queues (Redis/Sidekiq-type setups) to spread out requests, or do you lean fully into bulk operations despite the latency?