Mention
Did the engine name you at all, and how far into the answer?
Direct-to-consumer brands
When a shopper asks AI what to buy, does your brand get named?
More and more shoppers ask ChatGPT, Gemini, or Perplexity what to buy before they ever see a search results page. Ninar shows you those answers: whether your brand comes up, who gets named next to you, and what the engine cited to back it up.
One brand, two AI engines, no credit card. We report what the engines say. We can't guarantee what they'll say, and nobody else can either.
The gap
Your analytics can't see the answer that replaced the click
When an engine answers a buying question outright, the shopper often never visits a site to compare anything. A competitor gets recommended, you don't, and your traffic reports show nothing at all. There's no drop to investigate, because the visit never happened.
Ninar goes and looks. You get the prompt, the engine, the date, the answer in full, who got named, and what was cited.
High-intent shopping questions
The questions that decide a purchase
These are patterns. A scan fills in your category, your competitors, your cities. Each prompt runs on its own, in a fresh session, so one answer can't prime the next.
What are the best {category} brands to buy right now?Which {category} brand is worth the money?What is a good alternative to {competitor}?Is {brand} any good? What do reviews say?Which {category} brands ship to {city}?
What a scan returns
Four things you can check line by line
Competing brands
Who else got recommended, either beside you or instead of you.
Cited sources
What the engine pointed to. If it cited nothing, we log that it cited nothing. We don't go find a plausible source and put it there.
Factual accuracy
Did it get your products, pricing, and shipping right? Wrong answers usually trace back to a source you can go fix.
After a gap is found
Scan → read → fix → scan again
A score by itself tells you nothing you can act on. Every finding keeps its evidence attached, so you can hand someone a specific job and then check the same prompts later to see where it landed.
- 01Scan: every saved prompt runs separately, engine by engine.
- 02Read: the full answer, who was mentioned, what was cited, and anything stated without support.
- 03Fix: assign the content, product-data, or outside-coverage work that the gap points to.
- 04Scan again: same prompts, new date. We show you both and let you judge.
Start with the evidence
One free baseline scan across two AI engines
You'll get the prompt, the engine, the date, the answer, the brands it named, and whatever it cited. Paid plans and limits are on the pricing page.
Questions
What this page does and does not claim
What does a scan actually measure for a D2C brand?
Whether an AI engine names your brand when someone asks a shopping question, which competitors it names, how prominently you appear, and what it cited. We keep the answer word for word, along with the engine and the date, so you can go read it yourself.
Does Ninar guarantee that AI assistants will recommend my products?
No, and be wary of anyone who says otherwise. We measure what the engines say, keep the evidence, and help you work on it. The engines make their own calls, and those calls shift with the prompt, the engine, the user, and the day.
Why do city pages matter if AI engines are not local search?
A prompt with a city in it tests geographic wording in the question. That's all. It doesn't simulate device location, account history, or personalization. Where it earns its keep is when shoppers phrase things geographically, like asking which brands deliver to their city.
What is included in the free scan?
A free account gets you one baseline scan across two AI engines. Paid plans and limits are on the pricing page.
Can agencies run this for multiple D2C clients?
Yes. Paid plans cover multiple businesses and team members. Every report keeps the prompt, engine, date, answer, and citations, so a client can check any finding without taking your word for it. Plan limits are on the pricing page.
How should a change between two scans be interpreted?
Run the same prompts again and compare the dated results. If something improved after you shipped work, that's worth knowing. It still isn't proof that your work caused it, and we won't present it that way.