Shoppers now ask ChatGPT and Google what to buy, and “Does this fit my 2021 Sportsman 570?” AI recommends the listings it can read and trust, and skips the rest. Nightshift Data turns messy, incomplete supplier data into a complete, structured catalog, with fitment AI can confirm, so more shoppers find your parts and buy them.
Built for catalogs where the right part depends on what it goes on: powersports, marine, auto, RV, outdoor power, ag and heavy equipment, appliance and bicycle parts.
Free · No signup · Up to 10 parts per check
A shopper asks an AI assistant: “Does this winch mount fit a 2022 Can-Am Defender HD10?”


Even a perfect listing gets skipped if the store's robots.txt or firewall turns AI assistants away. How that happens
Illustrative listing. Brands and part numbers are invented.
AI assistants are already sending shoppers to stores: traffic from generative AI tools to U.S. retail sites rose 693% in the 2025 holiday season. Adobe Analytics
Or upload a feed, or start with one of our sample parts below.
We read every place your product data lives, check it against what buyers ask, confirm AI assistants can reach your pages, and hand back fixes you can load straight into your store.
Structured data, meta tags, spec tables, fitment tables and the description — each value tagged with where it came from.
Fitment, part numbers, GTIN, specs, kit contents and more, scored against a fitment template weighted for what buyers ask.
Every suggested value quotes your own data. Anything we can't back up is marked “Needs supplier data”, never guessed.
A real buyer question, like “Does this fit my 2021 Sportsman 570?”, answered with today's data and with the fixes.
If AI can't open the page, it doesn't matter how good your data is. Three settings quietly lock assistants out, and most stores don't know they're on. Every AI Readiness Check tests all three.
A line meant for scrapers or AI training crawlers can also shut out ChatGPT search, Claude and Perplexity. We test your exact page against each assistant's rules.
Firewalls like Cloudflare offer one-click AI bot blocking, and it can turn away the assistants shoppers use, not just training crawlers. We send test requests as each assistant to find out.
noindex, nosnippet and pages that only load their details with JavaScript keep your product out of AI answers, even when the data is good.
Built for catalogs where the right part depends on what it goes on: a machine, an engine, a model number or a standard. That's where incomplete data costs the most sales.

ATVs, UTVs, dirt bikes, snowmobiles and PWC

Outboards, sterndrives, boats and trailers

Cars, trucks and SUVs

Motorhomes, travel trailers, toy haulers and hitches

Mowers, trimmers, chainsaws and generators

Tractors, skid steers and excavators

Washers, dryers, refrigerators and ranges

Road, mountain and e-bikes
Every fix quotes your own page or feed. If we can't back a value up, it's marked “Needs supplier data”, never made up.
Fixes come back as a CSV and structured data you load into the store or catalog tools you already use.
We read your public product pages or a CSV export. No logins, no plugins.
Your catalog is used to check and fix your catalog. Nothing else.
A hidden, machine-readable version of your product page — brand, part number, price, and what the part fits — written in a standard format (schema.org). Search engines and AI assistants use it to know exactly what you sell instead of guessing from your description. Many parts pages have none, or only the basics.
Not to run the check. To fix what it finds, you'd add the structured data block we generate to your product pages and load the improved CSV back into your catalog or feed. Your web developer, agency or platform support can usually do both — it's a template change, not a rebuild.
Any. We read your public product pages or a CSV export, so it doesn't matter whether you're on Shopify, BigCommerce, a dealer website platform or something custom. The fixes come back as standard JSON-LD and CSV.
No. Every suggested value quotes your own page or feed, and we check that the quote is really there. Anything we can't back up is marked “Needs supplier data” — never guessed.
Merchant Center checks whether your feed meets Google Shopping's rules. The AI Readiness Check tests whether an AI assistant can answer a buyer's real question — “does this fit my machine?” — and whether ChatGPT, Claude and Perplexity can read your pages at all.
No. Your pages or feed are used only to check and fix your catalog. The AI model behind the check runs through Anthropic's commercial API, which doesn't train on customer data, and we don't store your feed contents or page text.
The URL or file name you check, summary numbers from the result, and any contact details you choose to enter. Not your feed contents, page text or IP address. We don't sell your data.