launched its Review Routing Agent<\/a> on July 14, adding automated platform-level routing to its NiceAI suite. The agent triggers review requests inside existing survey flows and directs customers to Google, Yelp, Facebook, or Trustpilot based on configurable rules by platform, region, or performance gap. One early adopter, a large North American shoe retailer, moved its Trustpilot score from 2.7 to 4.6 within 30 days while growing Google review volume 161%.<\/p>\nWhat this means for your business<\/h2>\n
The story this product is really telling is about AI search visibility. Buyers asking ChatGPT or Perplexity where to get a roof repaired or which urgent care clinic to visit get answers that are increasingly synthesized from structured public review data. A business with thin or stale review coverage on the platforms those models index doesn’t lose a star rating; it disappears from the consideration set entirely. Multi-location service operators, the ones with dozens of storefronts each accumulating reviews at different rates, are most exposed to that gap right now.<\/p>\n
AskNicely’s configurable weighting, which lets operators allocate review volume by platform and location rather than treating all reviews as interchangeable, is the genuinely differentiated mechanic here. Most reputation tools treat review collection as a volume game. Routing by performance gap means a location sitting at 3.8 stars on Google gets prioritized differently than one at 4.7, which is the right model if you’re trying to lift a whole network rather than pad an already-strong flagship. The 161% Google review volume figure is striking, though it comes from AskNicely’s own announcement, so the directional claim is more credible than the precise magnitude.<\/p>\n
The CMO decision this reframes isn’t whether to invest in review management; it’s whether the current vendor or workflow can actually target AI search surfaces, or whether it’s still optimizing for a 2019 version of local SEO. If your reputation stack treats Google Business Profile as the finish line rather than one input into a broader AI-indexed trust signal, the gap between your tool’s design assumptions and the actual buyer journey is widening. That’s worth examining at the next contract renewal, not as a reason to switch immediately, but as the right question to put to your current provider.<\/p>\n
Concept deep-dive: Review routing<\/h2>\n
Review routing is the practice of directing a customer, after a positive experience, to a specific third-party platform to leave their review, chosen by the business rather than by the customer’s default habit. It exists because most satisfied customers, left unprompted, either do nothing or default to whichever platform they already have an account on. Routing lets operators fill gaps strategically, building coverage where an AI model or search algorithm is most likely to draw on it, rather than concentrating volume on one already-saturated platform.<\/p>\n
Based on reporting from AskNicely Review Routing Agent Targets AI Search<\/a>, originally published 2026-07-14 10:39:00.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"Share with your CMO AskNicely is betting that review volume and platform distribution are now a demand-generation problem, not a brand hygiene one. The Portland-based CX platform launched its Review Routing Agent on July 14, adding automated platform-level routing to its NiceAI suite. The agent triggers review requests inside existing survey flows and directs customers […]<\/p>\n","protected":false},"author":1,"featured_media":5438,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[148],"tags":[176],"tmauthors":[],"class_list":["post-5437","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai-marketing","tag-cmo"],"_links":{"self":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts\/5437","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/comments?post=5437"}],"version-history":[{"count":0,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts\/5437\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/media\/5438"}],"wp:attachment":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/media?parent=5437"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/categories?post=5437"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/tags?post=5437"},{"taxonomy":"tmauthors","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/tmauthors?post=5437"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}