{"id":17258,"date":"2026-10-16T07:48:39","date_gmt":"2026-10-16T07:48:39","guid":{"rendered":"https:\/\/www.vendasta.com\/blog\/?p=17258"},"modified":"2026-10-26T17:38:56","modified_gmt":"2026-10-26T17:38:56","slug":"multi-location-brand-reputation-management","status":"publish","type":"post","link":"https:\/\/www.vendasta.com\/blog\/multi-location-brand-reputation-management\/","title":{"rendered":"Managing Reviews Across Every Location: A Multi-Location Reputation Strategy"},"content":{"rendered":"<p>Multi-location reputation management is how a franchise network uses reputation management software to monitor and answer every location\u2019s reviews, with reporting from one corporate view. In practice, corporate owns the profiles and sets the templates, permissions, and escalation rules, so every location can reply quickly without drifting off-brand.<\/p>\n<p>For a network leader, the stakes show up in every local search. <a href=\"https:\/\/martech.org\/ai-usage-surges-6x-for-local-search-fragmenting-the-digital-ecosystem\/\" target=\"_blank\" rel=\"noopener\">SOCi\u2019s 2026 Local Discovery Index<\/a> found that 72% of consumers are more likely to choose a business that responds to its reviews, so one unanswered complaint at one store reflects on the whole brand.<\/p>\n<p>This guide covers how to roll out the program in waves, centralize profiles and permissions, keep replies consistent when people and AI share the writing, set escalation triggers, and report performance by location.<\/p>\n[et_pb_section global_module=\"23398220 \"][\/et_pb_section]\n<h3>TL;DR<\/h3>\n<ul>\n<li><strong>Corporate runs multi-location reputation management:<\/strong> <a href=\"\/reputation\/reputation-ai\/\">Vendasta Reputation AI<\/a> monitors reviews across 100+ sources and analyzes sentiment, so corporate sees each location\u2019s reviews alongside the network.<\/li>\n<li><strong>Permissions and waves come before automation:<\/strong> Hold profile ownership at corporate and standardize templates. Then pilot before scaling.<\/li>\n<li><strong>Vendasta\u2019s AI Reputation Specialist keeps replies on-voice:<\/strong> It answers reviews in the reviewer\u2019s language under corporate rules, so every location sounds local without drifting off-message.<\/li>\n<\/ul>\n<h2>What Multi-Location Reputation Management Actually Requires<\/h2>\n<p>A single owner answers their own reviews from one login. A network of 200 has to decide who answers and under which rules. Corporate also needs to see the result.<\/p>\n<p>At network scale, reputation management means one dashboard across every location and review platform, role-based access, approved templates, and per-location reporting ranked against the network average. Group locations by brand and region, with franchisee groupings as well, so a regional lead sees only their territory and corporate keeps the full view.<\/p>\n<h2>Roll Out the Program in Waves<\/h2>\n<p>Before the pilot, lock the voice guide and <a href=\"https:\/\/martech.org\/ai-usage-surges-6x-for-local-search-fragmenting-the-digital-ecosystem\/\" target=\"_blank\" rel=\"noopener\">review response templates<\/a> with a slot for one local detail. Set escalation rules listing the reviews a location cannot answer alone. Then expand in four waves:<\/p>\n<ol>\n<li><strong>Baseline audit:<\/strong> Log each location\u2019s rating and response rate. Record the profile owner too.<\/li>\n<li><strong>Pilot group:<\/strong> Test templates for 30 days on 10 to 20 locations. Expand only when pilot locations hold their response-rate target.<\/li>\n<li><strong>Network-wide:<\/strong> Deploy the same setup in regional batches. Partner Center account templates let corporate launch each batch with identical settings.<\/li>\n<li><strong>Optimize:<\/strong> Review the scorecard monthly and refine templates. Onboard each new opening with the standard setup on day one.<\/li>\n<\/ol>\n<h2>Centralize Every Location\u2019s Review Profiles<\/h2>\n<p>Put every Google Business Profile in one brand-owned business group, which Google recommends for managing multiple businesses, and keep group-level roles at corporate, because group users can access every current and future profile in the group. Add location managers and agencies as Managers on individual profiles only.<\/p>\n<ul>\n<li>Managers can reply to reviews and publish posts but cannot add or remove users. Our guide to <a href=\"\/blog\/add-owner-manager-google-business-profile\/\">adding owners and managers to a Google Business Profile<\/a> walks through the setup.<\/li>\n<li>Review sites beyond Google need separate handling. Yelp\u2019s <a href=\"https:\/\/business.yelp.com\/resources\/articles\/managing-yelp-presence-multiple-locations\/?domain=brands\" target=\"_blank\" rel=\"noopener noreferrer\">aggregate access<\/a> puts every location under one login but requires a paid Upgrade Package or Yelp Ads.<\/li>\n<li>Networks with 10 or more locations may qualify for bulk verification; service-area businesses can\u2019t bulk verify.<\/li>\n<li>Each location needs a <a href=\"https:\/\/support.google.com\/business\/answer\/4542487?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">unique store code<\/a>. Change store codes in Business Profile Manager, because adding or changing a code on an existing location through a bulk spreadsheet upload creates a duplicate.<\/li>\n<li>Google Business Profile application programming interface (API) access requires an approved application, after which the <a href=\"https:\/\/developers.google.com\/my-business\/content\/limits\" target=\"_blank\" rel=\"noopener\">default quota<\/a> is 300 queries per minute and 10 edits per minute per profile. Route replies for a network this size through a platform rather than ad hoc scripts.<\/li>\n<li>For a withheld profile, file Google\u2019s <a href=\"https:\/\/support.google.com\/business\/answer\/4566671?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">ownership request<\/a>. The current owner has 3 days to respond, and if they don\u2019t, you may have the option to claim the profile.<\/li>\n<li><a href=\"https:\/\/www.whelanlawyers.com\/insight\/when-your-ex-franchisee-hijacks-your-google-reviews-and-what-you-can-do-about-it\" target=\"_blank\" rel=\"noopener noreferrer\">Whelan Lawyers<\/a> described a franchisor\u00a0that bought a Google Business Profile back from a departing franchisee because the franchise agreement was silent on who owned it. Write profile ownership into the agreement.<\/li>\n<\/ul>\n<h2>Set Permissions and Roles So Local Managers Can Respond<\/h2>\n<table>\n<thead>\n<tr>\n<th>Task<\/th>\n<th>Corporate brand team<\/th>\n<th>Franchisee or location manager<\/th>\n<th>Agency, if used<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Monitor<\/td>\n<td>Owns the network dashboard and alert rules<\/td>\n<td>Watches own location queue daily<\/td>\n<td>Monitors assigned portfolio<\/td>\n<\/tr>\n<tr>\n<td>Draft<\/td>\n<td>Writes templates and voice rules<\/td>\n<td>Personalizes 3- to 5-star replies within templates<\/td>\n<td>Drafts under brand rules<\/td>\n<\/tr>\n<tr>\n<td>Approve<\/td>\n<td>Approves 1- and 2-star and flagged replies<\/td>\n<td>Publishes approved low-risk replies<\/td>\n<td>Routes flagged items to corporate<\/td>\n<\/tr>\n<tr>\n<td>Escalate<\/td>\n<td>Owns legal, safety, and viral cases<\/td>\n<td>Flags within one business day<\/td>\n<td>Flags per trigger list<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Google\u2019s permission levels support this split: only owners can add or remove users, while managers handle reviews and posts. Keep owner status at corporate and give agencies and employees manager access. A written review response plan then sets which replies each role publishes unaided.<\/p>\n<h2>Keep Response Quality Consistent When Many People Write<\/h2>\n<p>Every writer starts from an approved template and adds one local detail within corporate voice rules. Location managers publish 3- to 5-star replies directly, while 1- and 2-star and flagged replies go to a corporate approval queue.<\/p>\n<p><a href=\"\/ai-employees\/reputation-specialist\/\">Vendasta\u2019s AI Reputation Specialist<\/a> is the AI Employee that handles this work inside Vendasta, an AI customer acquisition and engagement platform. It responds to Google and Facebook reviews in the reviewer\u2019s language under configurable rules, including rating thresholds, delays, and approval workflows, and it suggests responses for 100+ other review sources.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-23407335 size-full\" src=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2018\/03\/Reputation-Management-specialist-hero-img.webp\" alt=\"Vendasta AI Reputation Specialist suggesting a reply to a five-star Google review, with a chat asking about customer feedback trends\" width=\"805\" height=\"718\" srcset=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2018\/03\/Reputation-Management-specialist-hero-img.webp 805w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2018\/03\/Reputation-Management-specialist-hero-img-480x428.webp 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 805px, 100vw\" \/><\/p>\n<p>The same approval rules support <a href=\"\/blog\/online-reputation-management-for-lawyers\/\">online reputation management for lawyers<\/a>, where a lawyer approves every reply before it publishes.<\/p>\n<p>Full automation requires the Reputation AI Premium edition.<\/p>\n<h2>Balance Local Voice Against Brand Voice<\/h2>\n<p>Corporate locks refund and fault language, including how writers phrase apologies. It also sets escalation phrasing and the sign-off format. Each location adds a staff first name where brand policy allows and a neighborhood or service detail. Writers reply in the reviewer\u2019s language. Corporate sets these rules once in the AI Reputation Specialist, so replies for every location follow them.<\/p>\n<h2>When AI Drafts and Humans Approve<\/h2>\n<p>Route 1- and 2-star reviews to experienced staff who refine the AI draft. A randomized experiment published in <a href=\"https:\/\/doi.org\/10.1108\/ITP-06-2025-0773\" target=\"_blank\" rel=\"noopener noreferrer\">Information Technology and People<\/a> found that negative reviews were handled best when AI drafted and experienced staff refined, while positive reviews were handled best by experienced professional staff alone.<\/p>\n<p>Our reading of that result: automating 4- and 5-star replies trades some quality for coverage. Brands that automate them should have managers spot-check weekly and personalize high-value 5-star replies.<\/p>\n<p>The Federal Trade Commission\u2019s (FTC) <a href=\"https:\/\/www.ftc.gov\/business-guidance\/resources\/consumer-reviews-testimonials-rule-questions-answers\" target=\"_blank\" rel=\"noopener noreferrer\">guidance on its consumer reviews rule<\/a> says the rule\u2019s only disclosure requirements involve company insiders, and we found no Google review policy that requires labeling an owner\u2019s AI-drafted reply. Disclosure is a brand policy call corporate should apply at every location.<\/p>\n<h2>Set Alert and Escalation Triggers<\/h2>\n<ul>\n<li><strong>Star rating:<\/strong> Any 1- or 2-star review alerts the manager and regional lead; the manager replies within a business day.<\/li>\n<li><strong>Keyword:<\/strong> \u201cInjury,\u201d \u201clawsuit,\u201d \u201cdiscrimination,\u201d or \u201crefund\u201d goes to the brand compliance owner, who responds the same business day.<\/li>\n<li><strong>Safety or legal:<\/strong> Legal counsel owns the reply the same day. Unfounded legal threats or intimidation aimed at preventing or removing a review can violate the FTC rule\u2019s <a href=\"https:\/\/www.ecfr.gov\/current\/title-16\/chapter-I\/subchapter-D\/part-465\/section-465.7\" target=\"_blank\" rel=\"noopener noreferrer\">review suppression provision<\/a>, with civil penalties of up to <a href=\"https:\/\/www.ecfr.gov\/current\/title-16\/chapter-I\/subchapter-A\/part-1\/subpart-L\/section-1.98\" target=\"_blank\" rel=\"noopener noreferrer\">$53,088 per violation<\/a>, a level the FTC kept unchanged for 2026.<\/li>\n<li><strong>Viral or attack:<\/strong> A wave of 1- and 2-star reviews paired with a demand for money, goods, or services may be extortion. Within hours, the brand communications lead gathers evidence and files Google\u2019s <a href=\"https:\/\/support.google.com\/business\/answer\/16404809?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">merchant extortion report form<\/a> without paying. The lead also reports the reviews through Google\u2019s <a href=\"https:\/\/support.google.com\/business\/answer\/4596773?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">Reviews Management Tool<\/a> within that window.<\/li>\n<li><strong>Brand-wide spike:<\/strong> When one complaint repeats across locations within days, the brand communications lead issues one holding statement within hours that locations post instead of improvising.<\/li>\n<\/ul>\n<p>For tone on the hardest replies, see our guide on <a href=\"\/blog\/how-to-respond-to-negative-reviews\/\">how to respond to negative reviews<\/a>.<\/p>\n<h2>Keep Review Volume Flowing at Every Location<\/h2>\n<p>Ask every customer for a Google review through a post-visit text message or email; a QR code is another option. Never ask only the happy ones. Google\u2019s <a href=\"https:\/\/support.google.com\/contributionpolicy\/answer\/7400114?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">content policy<\/a> bars selectively soliciting positive reviews, offering incentives, and requiring staff to collect a set number of reviews. Don\u2019t solicit on Yelp, which <a href=\"https:\/\/www.yelp-support.com\/article\/Don-t-Ask-for-Reviews?l=en_US\" target=\"_blank\" rel=\"noopener noreferrer\">bars asking for reviews at all<\/a>. A steady monthly flow at each location keeps one bad month or a stale rating from defining a store.<\/p>\n<p>Reputation AI sends automated review requests by email and text message, so every location asks every customer the same way. It can also trigger requests from real transactions through integrations such as QuickBooks Online and Jobber. <a href=\"\/case-studies\/digital-tools-improve-franchise-performance\/\">Fred Astaire Dance Studios<\/a>, a franchise using Vendasta, averaged 50 reviews per store, grew search traffic 37%, and saw 2.5 times more net new leads.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-23407349 size-full\" src=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/10\/multi-location-brand-reputation-management-case-study-vendasta-scaled.webp\" alt=\"Fred Astaire Dance Studios franchise results with Vendasta: 37% more search traffic, 50 reviews per store, 2.5x leads, 3x profit\" width=\"2560\" height=\"1337\" srcset=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/10\/multi-location-brand-reputation-management-case-study-vendasta-scaled.webp 2560w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/10\/multi-location-brand-reputation-management-case-study-vendasta-1280x669.webp 1280w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/10\/multi-location-brand-reputation-management-case-study-vendasta-980x512.webp 980w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/10\/multi-location-brand-reputation-management-case-study-vendasta-480x251.webp 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2560px, 100vw\" \/><\/p>\n<h2>Report by Location and Network-Wide<\/h2>\n<p>Score every location against the network average on:<\/p>\n<ul>\n<li>Average rating and 90-day trend<\/li>\n<li>Reviews in the last 30 days<\/li>\n<li>Response rate<\/li>\n<li>Median response time<\/li>\n<li>Sentiment themes by frequency<\/li>\n<\/ul>\n<p>Response rate is on the list because replying is visible to every searcher. SOCi\u2019s 2026 Local Discovery Index, <a href=\"https:\/\/martech.org\/ai-usage-surges-6x-for-local-search-fragmenting-the-digital-ecosystem\/\" target=\"_blank\" rel=\"noopener noreferrer\">published on MarTech<\/a>, found that 72% of consumers are more likely to choose a business that responds to its reviews, up from 65% in 2025.<\/p>\n<p>Flag the bottom decile and treat its themes as operations data. Repeated \u201clate technician\u201d mentions at one store point to a dispatch problem, which no template fixes. The regional lead calls each flagged store within a week and sets a 30-day fix plan.<\/p>\n<p>Corporate sees roll-up reporting across brands and locations in Business App\u2019s multi-location view, and franchisors working as Vendasta partners manage location accounts and reporting in Partner Center.<\/p>\n<h2>Keep Listings and NAP Accurate Across the Network<\/h2>\n<p>Each location\u2019s name, address, and phone number (<a href=\"\/blog\/nap-in-seo\/\">NAP<\/a>) must match on Google, Yelp, Apple Maps, and directories, because correct NAP data helps prevent duplicate listings that split reviews.<\/p>\n<p><a href=\"\/local-listings\/listing-sync-pro\/\">Listing Sync Pro<\/a> provides real-time sync and protection across 50+ listing sites, and a <a href=\"\/blog\/local-seo-for-franchises\/\">local SEO audit for franchises<\/a> at each opening finds duplicates.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-23407336 size-full\" src=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2018\/03\/Listing-Sync-Pro.webp\" alt=\"Listing Sync Pro dashboard showing one business listing synced or submitted to Yelp, Apple Maps, Bing Maps, Foursquare, and other directory sites\" width=\"1000\" height=\"735\" srcset=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2018\/03\/Listing-Sync-Pro.webp 1000w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2018\/03\/Listing-Sync-Pro-980x720.webp 980w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2018\/03\/Listing-Sync-Pro-480x353.webp 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1000px, 100vw\" \/><\/p>\n<p>Monitor the brand\u2019s listings, since <a href=\"https:\/\/support.google.com\/business\/answer\/3480441?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">Google may apply suggested user edits<\/a> to business information without prior review. For some edits, Google notifies the owner first and allows 4 days to accept or reject.<\/p>\n<h2>Build a Multi-Location Reputation Management System That Scales<\/h2>\n<p>Every location in a franchise network is a local business, and the network can run all of them on the same <a href=\"\/software\/\">small business software<\/a>. What changes at scale is governance: settle profile ownership, permissions, and escalation rules at corporate first, then roll the program out in waves so every new location inherits a tested system.<\/p>\n<p>From there, the work is consistency and measurement. That means approved templates with one local detail, AI drafts that experienced staff refine for 1- and 2-star reviews, and a monthly scorecard ranking every location against the network average. Vendasta Reputation AI monitors and requests reviews at every location, and Vendasta\u2019s AI Reputation Specialist answers them under corporate rules.<\/p>\n<p><a href=\"\/request-demo\/\">Book a Vendasta demo<\/a> to see how it works across your network.<\/p>\n<h2>Multi-Location Reputation Management FAQs<\/h2>\n<h3>1. Who should write review responses in a franchise network?<\/h3>\n<p>Location managers publish 3- to 5-star replies from approved templates. Corporate approves every 1- and 2-star or flagged reply. It owns legal and safety escalations, along with viral cases. Managers flag risky reviews within one business day, so no location posts a sensitive reply alone.<\/p>\n<h3>2. Is it safe to let AI auto-reply to reviews?<\/h3>\n<p>It is a capacity choice. Route 1- and 2-star reviews to a person who refines the AI draft. A randomized study found experienced staff alone wrote the best positive replies, so brands automating 4- and 5-star replies should spot-check them weekly.<\/p>\n<h3>3. Do we have to disclose that a reply was AI-drafted?<\/h3>\n<p>We found no FTC guidance or Google review policy requiring a label on an owner\u2019s AI-drafted reply. The FTC rule\u2019s fake-review provision addresses reviews and testimonials, not owner replies, so whether to disclose is a brand policy choice corporate should apply at every location.<\/p>\n<h3>4. How do we connect hundreds of Google Business Profiles?<\/h3>\n<p>Move every profile into one brand-owned business group. Add store staff and agencies as Managers on single profiles only, and give each location a unique store code. Change codes only in Business Profile Manager. Bulk verification may be available once a network has 10 or more locations.<\/p>\n<h3>5. What should we standardize first before rollout?<\/h3>\n<p>Settle the voice guide first, followed by reply templates that leave room for one local touch. Then set escalation rules naming the reviews a location must hand to corporate. Each later batch launches with those settings, so franchisees inherit a tested system.<\/p>\n<h3>6. What does multi-location reputation management cost?<\/h3>\n<p>Pricing depends on which Vendasta products a network uses and the scope of the rollout, such as monitoring, AI replies, review requests, and listings. Partners buy at wholesale and set their own retail prices; Vendasta Reputation AI\u2019s illustrative retail price runs from $19 to $99 per month by edition. See <a href=\"\/pricing\/\">Vendasta pricing<\/a> for partner plans, or <a href=\"\/request-demo\/\">request a demo<\/a> for a network-wide quote.<\/p>\n<h3>7. What are the four elements of a network review system?<\/h3>\n<p>The four parts are monitoring, responding, review generation, and reporting. Rules set rollout order and reply permissions by role; approved templates keep writers consistent. Corporate owns the profiles, with every location ranked monthly against the network average.<\/p>\n<h3>8. Can agencies get a white-label dashboard for each client?<\/h3>\n<p>Yes. Each client logs in to its own Business App portal, branded by the agency, with executive reporting and a unified inbox for its monthly location scorecards. Behind it, the agency runs every client\u2019s account and templates from one Partner Center, which also handles reports.<\/p>\n<h3>9. Which metrics should the per-location scorecard track?<\/h3>\n<p>Track average rating and its 90-day direction, reviews from the past 30 days, response rate, median response time, and the most frequent sentiment themes. Rank stores monthly against the network average and flag the lowest 10%. Fix recurring complaints operationally.<\/p>\n<h3>10. How do we handle fake reviews or a coordinated attack?<\/h3>\n<p>Report each policy-violating review in Google&#8217;s Reviews Management Tool. If a flagged review doesn&#8217;t qualify for removal, submit a one-time appeal covering up to 10 reviews. If 1- and 2-star reviews arrive with a demand for money, goods, or services, don&#8217;t pay. Gather evidence and file Google&#8217;s merchant extortion report form.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Set up corporate oversight, local permissions, and AI-drafted replies to manage reviews consistently across a franchise network or multi-location business.<\/p>\n","protected":false},"author":183,"featured_media":23407337,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","_clps_guid":"","_clps_audio_url":"","_clps_episode_url":"","_clps_duration":"","_clps_episode_number":0,"_clps_season":0,"_clps_summary":"","_clps_transcript_status":"","footnotes":""},"categories":[3032,48],"tags":[93,895,896,897,87],"silo":[3037],"class_list":["post-17258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-franchise-insights","category-marketing","tag-brand-management","tag-brand-reputation","tag-multi-location-businesses","tag-multilocation","tag-reputation-management"],"acf":{"faq_schema":"{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Who should write review responses in a franchise network?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Location managers publish 3- to 5-star replies from approved templates. Corporate approves every 1- and 2-star or flagged reply. It owns legal and safety escalations, along with viral cases. Managers flag risky reviews within one business day, so no location posts a sensitive reply alone.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Is it safe to let AI auto-reply to reviews?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"It is a capacity choice. Route 1- and 2-star reviews to a person who refines the AI draft. A randomized study found experienced staff alone wrote the best positive replies, so brands automating 4- and 5-star replies should spot-check them weekly.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Do we have to disclose that a reply was AI-drafted?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"We found no FTC guidance or Google review policy requiring a label on an owner\u2019s AI-drafted reply. The FTC rule\u2019s fake-review provision addresses reviews and testimonials, not owner replies, so whether to disclose is a brand policy choice corporate should apply at every location.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"How do we connect hundreds of Google Business Profiles?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Move every profile into one brand-owned business group. Add store staff and agencies as Managers on single profiles only, and give each location a unique store code. Change codes only in Business Profile Manager. Bulk verification may be available once a network has 10 or more locations.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"What should we standardize first before rollout?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Settle the voice guide first, followed by reply templates that leave room for one local touch. Then set escalation rules naming the reviews a location must hand to corporate. Each later batch launches with those settings, so franchisees inherit a tested system.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"What does multi-location reputation management cost?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Pricing depends on which Vendasta products a network uses and the scope of the rollout, such as monitoring, AI replies, review requests, and listings. Partners buy at wholesale and set their own retail prices; Vendasta Reputation AI\u2019s illustrative retail price runs from $19 to $99 per month by edition. See Vendasta pricing for partner plans, or request a demo for a network-wide quote.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"What are the four elements of a network review system?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"The four parts are monitoring, responding, review generation, and reporting. Rules set rollout order and reply permissions by role; approved templates keep writers consistent. Corporate owns the profiles, with every location ranked monthly against the network average.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Can agencies get a white-label dashboard for each client?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Yes. Each client logs in to its own Business App portal, branded by the agency, with executive reporting and a unified inbox for its monthly location scorecards. 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If a flagged review doesn't qualify for removal, submit a one-time appeal covering up to 10 reviews. If 1- and 2-star reviews arrive with a demand for money, goods, or services, don't pay. 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