# Be the brand AI names, and describes right. > When shoppers ask AI for the best brand, few get named. Citeme tracks brand and comparison queries on ten engines, checks facts and sentiment, and your share. [HTML version](https://www.citeme.io/solutions/retail-dtc) --- When shoppers ask an assistant for the best brand of anything, the answer names only a few. Our team tracks your brand and comparison queries on ten engines, corrects the facts engines repeat about you, and works on the reviews, press and communities they rely on. - Brand and comparison queries on 10 engines - Facts and tone checked in every answer - Authority built where engines look ## The answer names a few brands. The rest are not in the conversation. A shopper who asks for the best trainers for flat feet or the most reliable coffee machine gets a short list, with a sentence on each. If your name is missing, or arrives with an outdated fact or a lukewarm line, the comparison is over before anyone opens your site. ## The brand behind the products, measured engine by engine. ### Brand and comparison queries Prompts are written from your site in three families: brand queries, comparative ones such as cheaper alternatives to a named rival, and problem or solution queries. Edit them, group them into topics. ### Share of Model vs rivals The share of AI answers naming each brand across a themed set of queries, per model, trended over 30, 60 and 90 days, with the queries where each rival is cited first. ### The sources behind answers Every audit reports the citations and sources behind each answer, engine by engine. A new opportunity alert fires when a domain you were not tracking starts being cited in your sector. ### Facts and tone, checked Every mention is rated positive, neutral expert, negative or not relevant. The consistency check compares what several engines say about your founding year, size and what you sell, scored out of 100. ### Reviews, press and forums Reputation keeps the best average rating found on review platforms such as Google, Trustpilot and G2, detects press mentions and suggests media worth targeting: the independent confirmation engines look for. ### AI orders, with amounts Purchases from visitors who arrived through an AI answer are recorded with their value over a 30-day window, next to the landing page and the most likely prompt. ## Who the answer names, and what it says about you. ### Read the answer, engine by engine Per query, open what each model answered: your position, the sentiment attached to you and the brands cited alongside you. A brand can lead on ChatGPT and be missing on Grok; the table shows where. ### Watch the Share of Model The percentage of answers naming each brand on a theme, per model, trended over 30, 60 and 90 days. GEO runs close to zero sum: a rival who is cited holds a slot you cannot hold at the same time. ### Check the facts they repeat The consistency check asks several engines the same questions about your brand and compares the answers side by side. Each divergence is shown with each provider's answer, and the fixes are concrete: a Wikidata entry, complete Organization markup, aligned profiles. ### See what AI shoppers buy Once the tracking script is in place, purchases from AI-referred visitors carry their amount over a 30-day window, next to the landing page and the most likely prompt. The prompt link is probabilistic, and shown as such. ## FAQ ### How is this different from the e-commerce solution? The e-commerce page works product by product: catalog import, a shopping audit on buying queries and a score per listing. This one works at brand level: brand and comparison queries, what reviews, press and forums say about you, sentiment, consistency across engines and your Share of Model against rival brands. Brands that sell online usually need both views. ### Why do AI engines state wrong facts about our brand? Because they answer from what they retrieved, which may be a cached page, an aggregator or a marketplace listing rather than your own site. The consistency check asks several engines the same questions about your brand and shows each divergence with each provider's answer. The fixes are concrete: create or correct a Wikidata entry, complete your Organization markup, align the facts on your profiles. ### Do reviews and press change what AI recommends? They are part of what an engine cross-checks. An assistant asked to recommend a brand looks for independent confirmation, and reviews, articles and community threads are exactly that. The Reputation dimension keeps the best average rating found on review platforms such as Google, Trustpilot and G2, with the number of reviews behind it, and detects press mentions with suggestions of media worth targeting. ### How many rival brands can we track? The number of competitor domains per project is capped by plan, so pick the rivals you would actually defend a budget against. Add each one by URL and Citeme audits it like it audits you: same prompts, same engines, same region, so the Share of Model comparison stays fair. ### Can we see what AI shoppers actually buy? Yes, once the tracking script is on your site. Purchases from visitors who arrived through an AI answer are recorded with their value over a 30-day window, next to the landing page and the most likely prompt. Without the script no conversion can be attributed, and the prompt link is always shown as probable, never certain. ### We run several brands. How is that organised? One project per brand, with competitors tracked per project, and every plan includes unlimited team users. The number of projects grows with the plan, from one on Starter to unlimited on Enterprise. ## Related pages - [E-commerce](https://www.citeme.io/solutions/ecommerce): Your catalog, scored product by product - [Brand Authority](https://www.citeme.io/features/brand-authority): How strong your brand looks to AI - [Competitive monitoring](https://www.citeme.io/features/competitive-monitoring): See who AI recommends instead of you - [Pricing](https://www.citeme.io/pricing): Plans and the done-for-you engagement