PeakMetrics sends hundreds of prompts to five AI assistants to score what they say about a brand

PeakMetrics describes one case where the loop actually closed, and it ran through a content management system. The company said it helped a customer trace inaccurate information about a movie theater chain to an outdated page on the customer's own website, and that correcting the page addressed the misinformation at its source ^[9].

Whether the next bad answer has an address like that depends on a choice the model makes at request time. The platform records the citations a model finds when it searches the web before answering, and that analysis exists only when the system invokes search ^[7]. "We give the different LLMs access to do a web search and then determine whether or not it chooses to do so," Childress said ^[8].

The volume is set by the buyer. Childress said customers typically monitor hundreds of prompts, from broad industry topics to questions about specific products or services ^[5]. Take 200, the low end of hundreds: one pass across the five platforms records 1,000 answers, and a weekly pass produces about 52,000 in a year ^[17]. At that volume I would expect the team to read a sample and let the scores decide what gets escalated.

Those scores come from criteria the customer defines, among them favorability, trust, competitive positioning, message adoption and purchase intent ^[6]. Purchase intent here is a rule a human wrote, applied to a paragraph of model output. It describes how the answer reads. What a shopper did after reading it is a separate measurement. SiliconANGLE's launch report does not include a price ^[18].

The service also grades the discussion underneath the answers. Jessica Pratt, PeakMetrics' vice president of marketing and communications, said bot activity typically accounts for 20% to 30% of the social media content in a customer workspace and can rise during a crisis ^[12]. Bot scores come from posting frequency, account age and follower patterns, and a partnership with Reality Defender adds analysis of potentially synthetic text, images and video ^[11]. "Actors can use agentic workflows to reword messages while pushing the same underlying narrative, making campaigns harder to catch through basic copy-and-paste detection," Pratt said ^[13].

The service is available immediately and is aimed principally at corporate communications teams ^[16][3]. Search engine optimization turns on rankings and website traffic; generative engine optimization turns on whether and how a brand appears in an AI-generated answer ^[15]. PeakMetrics positions the product as reputation management, not an AI visibility monitor ^[19]. "It's less about visibility of their brand and more around reputation of their brand," Childress said ^[14].

Every question on the prompt list carries the same test before it goes in: what would change if the answer came back unfavorable. A page the customer owns goes to whoever owns the CMS, with a date. A third-party page goes to whoever pitches reporters. An answer with no citation goes on a watch list. If most of the list is that third kind, the customer is paying for a chart of something no one can edit.