FAQ
Quick answers to the questions we hear most, organized by what you do all day.
New to enrichment? Start with Your first enrichment run — it answers most of these in the order you’ll hit them.
For marketing teams
Will the content actually sound like my brand?
That’s what the brand voice input is for — and the output is scored on brand adherence every run, so you can see how well it matched. The quality of your result tracks the quality of your input: see Teaching enrichment your brand voice.
What if I don't have written brand guidelines?
You don’t need a formal brand book. Answer the questions on the brand voice page — personality, tone, do’s and don’ts, vocabulary — and paste excerpts of copy that already sounds right. That’s enough to start, and you can refine after your first run.
Will it make up claims about my products?
No — and it’s checked. Every generated field is reviewed against your source data, and unsupported claims are the most heavily penalized issue in quality scoring. Content the engine can’t ground in your data gets flagged, not shipped.
Can I reject just some of the results?
Yes. Accept everything, accept everything above your quality threshold, or go product by product. See Reviewing and accepting results.
Can I change the wording myself after accepting?
Yes. Enriched content is applied as a raw data override, so you adjust it with the tools you already use: a transformed data override for a single product, or a transformer for a pattern across many. See Editing enriched content.
Can I run enrichment again if I don't like the results?
Yes, and the scores tell you where to focus — you can re-run based on how the output scored, targeting products that fell below your threshold. Change something first (brand voice, config, or source data), since re-running the same setup produces similar results. See Re-running enrichments.
Can it handle claims we're legally not allowed to make?
Yes — list restricted claims in your brand voice input and they become hard rules. See the do’s and don’ts section.
For data teams
I set up a new database and can't run an enrichment. What's missing?
A primary ID needs to be set on the field execution order screen before enrichments can be run. New databases don’t have one set, so this is a required first step on every new database — set the primary ID there, then start your run.
Will enrichment overwrite my catalog data?
No. Enrichment applies its output as a raw data override, so your imported source data is never replaced and you can always compare the two. See Enrichment, transformers, and exports.
I have products with many variants. Do I enrich the parent or every variant?
Either — you choose per batch. Product level generates one set of content that all variants share; variant level generates content for each variant. Variant level sends far more items, so it uses more of your allotment. See Product level or variant level.
Does it fill in missing attributes like color or material?
Not today. Filling structured attribute values is attribution, which is not part of data enrichment today but is on the roadmap. Enrichment generates copy, and it won’t infer facts your source data doesn’t contain. See What enrichment does (and doesn’t do).
Which fields does a single run generate?
Branded copy, SEO and discovery metadata, AEO content, and per-channel marketing fields — you choose which in your config. Every field and its purpose is listed in Fields in an enrichment run.
What source data do I need for good results?
A real product name plus factual substance — materials, features, use cases. The fuller and more accurate your source data, the better the output. See What makes good source data.
Do my existing transformers still work?
Yes, untouched. Enrichment writes to new, dedicated fields rather than changing existing ones, so no transformer’s inputs change and your first enrichment alters nothing downstream. You map enriched fields into your exports when you’re ready. See Enrichment, transformers, and exports.
How do I get new products enriched as my catalog grows?
Include them in a new batch, reusing a config that’s already proven on similar products. Most teams run a standing pass when new collections land. See Re-running enrichments.
Is my product data used to train AI models?
Answer pending — do not publish this page without it.
For paid media teams
Which channels are supported?
Google, Meta, TikTok, Amazon, eBay, and Walmart — plus storefront, SEO, and AI-answer-engine content from the same run. See Where enriched fields go.
Will changing my titles hurt ad performance?
Changing feed content does affect how channels serve your products — which is exactly why rollout is under your control, per field and per channel, and why we recommend a proper A/B test instead of a big-bang switch.
Can I roll out to one channel first?
Yes — enriched fields only go live where your export mappings send them. Test on Google before touching Meta, or vice versa.
For analytics teams
How do I know enrichment actually worked?
Baseline before you switch, roll out to a segment with a holdout, and measure CTR, conversion, and ROAS per group. The full method: Proving enrichment works.
My reports don't show which products are enriched. Why?
Because tagging is required and doesn’t happen automatically. Analytics identifies enriched products from UTM parameters on your feed product URLs (for the Traffic report) and custom labels in Google Merchant Center (for the Paid Media report). See Measuring impact in Analytics.
What does the quality score actually measure?
Three factors — accuracy, consistency, and brand adherence — backed by specific, per-field issues you can inspect. See Understanding your quality scores.
Billing and usage
Do rejected results count against my allotment?
Yes — usage counts enrichments sent, not accepted. Tune your config on small runs before running at volume. See Usage, billing, and limits.
What happens when I hit my cap?
Enrichment stops — there are no overage charges. Contact your account team to extend your allotment.
Can I rerun the same products?
Yes, as often as you like — each rerun counts toward usage.