For retail and consumer brands

The first place many shoppers go is now an answer engine. They ask ChatGPT for the best eco-friendly sneakers, Gemini to compare two blenders, or Google AI Overviews which brand of mattress to buy. These AI platforms synthesize answers from across the web, citing product pages, reviews, and articles. Your brand is being evaluated and recommended in conversations you cannot see. Your marketing team is measured on visibility and consideration, but you have no dashboard for AI search. You cannot report on whether you are winning these critical, high-intent moments.

With Mentionry, you move from blind to measured. Your week starts in Answer Engine Insights. You add the real questions your buyers ask: 'best wireless headphones for working out', 'organic baby food brands', 'Patagonia vs The North Face'. Each prompt runs daily. You immediately see the answers from ChatGPT, Gemini, and Google AI Overviews, side by side.

Next, you check the Shopping view. Here, you see how often your specific products surface when these platforms enter a dedicated shopping mode. You see the order in which your products are listed against competitors. This tells you your AI shelf placement.

You then open Citation Tracking. This shows you exactly which pages the engines used to build their answers. You see the split between your owned product pages, operated profiles, and earned mentions from publishers, affiliates, and forums. You identify which sources are most influential for your category.

Finally, you turn to your AI Marketer. It reads all this data plus your brand kit. You ask it to find opportunities where your brand could credibly appear. It returns a list: a journalist seeking expert commentary on sustainable materials, a podcast booking guests in the skincare space, a blog that cited three competitors but not you. For each, it drafts the pitch. You review and approve, then send it from your own email.

For retail, three metrics matter most. First, visibility score: how often is your brand named in the answers? A low score means you are absent from the conversation. Second, average position: when you are named, are you first, third, or last? In shopping mode, position is everything. Third, citation share: what percentage of the cited URLs are yours versus your competitors?

To show progress, you report these numbers weekly. You show your boss or client the answers where you appeared, the key sources that helped you get there, and the outreach your team executed to influence those sources. You move from reporting on last month's web traffic to governing this month's AI recommendations.

For retail brands, openings are specific. The AI Marketer scours requests from journalists writing product roundups and trend reports. It finds podcasts and webinars looking for guest experts. It identifies affiliate sites and review publishers that have covered a competitor but have a gap your product could fill. It finds 'versus' articles where only one side is presented.

The drafts it creates are tailored. For a journalist, it writes a concise email offering a product sample and expert commentary. For a podcast, it pitches your brand founder or product designer as a guest. For a publisher, it suggests adding your product to an existing listicle, providing the link and a reason why it fits. Every action is built for approval first.

The sample figures shown in the product, like those for adidas, are measured from actual engine readings. They are an example of measurement, not a promise of outcome. adidas is not a customer.

Shopping capture is being verified per catalogue before it is switched on for every account. Prompt Volumes is a partial estimate from search data. There is no backfill of historical data. Recording starts when you add a prompt.

Mentionry does not place, publish, or pay for links. It shows you where to go and drafts the ask. Whether a page then cites you is the publisher's decision. Proactive alerts, like a sudden sentiment drop pinging you, do not exist unless you build a scheduled agent to look for them.

You begin free for seven days. You connect your website, add your key product prompts, and see daily readings from ChatGPT, Gemini, and Google AI Overviews. No credit card is needed.

If you need to track more questions, the Starter plan is $99 a month. It includes 50 prompts, daily readings on those three engines, and 100 agent runs.

For larger teams managing multiple brands, needing engines like Perplexity or Claude, or requiring API access and single sign-on, you contact sales for an Enterprise quote. Enterprise is never priced on the site.