ChatGPT mentions our new hydraulic coupling line when answering about pressure-rated connectors, but it cites a competitor's spec sheet instead of ours. How do we get our product docs indexed?

ChatGPT's training data has a knowledge cutoff, so newer product lines take time to appear in its responses. The immediate issue isn't indexing—it's that your technical documentation isn't yet in the sources AI trainers use. You need to make your specs discoverable and citable now, before the next model training cycle.

Start by auditing where your competitor's docs live. They're likely in one or more of these places: their main domain, a dedicated spec repository, industry directories (like Thomas Register or IndiaMART for industrial equipment), PDF aggregators, or vertical procurement platforms. Your docs need to exist in similar places with the same authority signals.

This week, do three things. First, publish your product spec sheets as standalone web pages (not just PDFs behind forms) with clear technical metadata—dimensions, pressure ratings, certifications, model numbers. Use descriptive anchor text and internal links from your main site. Second, submit your spec sheets to industry-specific directories and procurement databases where buyers and researchers look. Third, check whether any third-party tech sites, distributor pages, or industry forums mention your new line—if they do and link to the competitor, reach out and ask for an update or correction.

You'll know it's working when you start seeing your brand cited in Perplexity and Claude answers about your specific product category. This takes 4–8 weeks because AI engines don't retrain constantly, but getting your docs in the right places now positions you for the next update.