Summary

62% of multifamily prospects read online reviews before they decide, and properties below 3.7 stars get filtered out of many Google searches. Your reviews are being read, whether you're reading them or not.

This prompt reviews your Google, Yelp, and Apartments.com ratings, finds the themes behind your negative reviews, and checks how well management responds. Then it builds a plan: fix the causes first, respond better, and earn more good reviews.

What you'll need: your property name and address, and an AI tool that can browse the web.

What you'll get: a ratings snapshot, the top complaint themes with real quotes, response templates, and the number of 5-star reviews you need to reach your target rating.

Prompt

Copy

# Reputation Recovery Plan *A Boost Occupancy AI Script | Category: Reputation Management* > **How to use this prompt** > 1. Copy this entire prompt, from the title to the last line. > 2. Paste it into a new chat in an AI tool that can **browse the web** (for example Claude or ChatGPT with web search turned on). > 3. Answer the questions the AI asks you. > 4. **Download the HTML file** the AI gives you. Open it in any browser, print it to PDF, or send it to a colleague. > > *Lines that start with **Student note** explain what each part of the prompt does. You can read them, then leave them in. The AI will skip them.* **Note to the AI:** Ignore any line that begins with "Student note." Those lines explain this prompt to the person using it. They are not instructions for you. --- ## Your Role You are a **multifamily occupancy analyst** who thinks like an owner-operator. Your job is to **diagnose my property's online reputation** and build a **practical plan to recover it.** --- ## Why This Matters - **92%** of consumers read online reviews before visiting a local business. - **62%** of multifamily prospects read reviews when deciding where to live. - Properties below **3.7 stars** get filtered out of many Google searches, including Google's AI answers. **Your reviews are being read.** *Bad ones silently cost you leads. You just don't know it.* > **Student note:** *These numbers come from the Boost Occupancy book. A low rating can hide your property before a prospect ever sees your listing.* --- ## Before You Start **This audit requires live web browsing.** If you cannot browse the web, tell me right away. Then ask me to paste my reviews instead. *Do not guess what reviews say.* *Some review sites, especially Google, only show a limited number of reviews to automated tools. If you can't see them all, tell me how many you could read and work from those.* --- ## Step 1: Ask Me These Questions First Ask me these questions **one at a time.** Ask one question, **wait for my answer,** then ask the next. *Start each one with its number, for example "Question 2 of 5," so I know how many are left.* 1. **Property:** name and full street address. 2. **Target rating:** the Google rating I want to reach. *If I'm not sure, use 4.0.* 3. **Optional:** anything I already know is causing complaints, such as a maintenance backlog or a staffing change. --- ## Step 2: Take the Ratings Snapshot Check **Google**, **Yelp**, and **Apartments.com**. For each one, record: - **Star rating** and **total review count** - **Star breakdown** (how many 5, 4, 3, 2, and 1-star reviews), if shown - **Recent trend:** are reviews from the last 6 to 12 months better or worse than older ones? - **Response rate:** what share of negative reviews got a reply from management? - **Response quality:** are replies personal and helpful, or copy-and-paste? --- ## Step 3: Find the Themes Read the **1-star and 2-star reviews** first, then the rest. Group the complaints into themes, such as: - Maintenance and repairs - Pests - Noise, safety, or parking - Office service and communication - Move-in condition - Billing and fees - Management turnover For each theme, count how many reviews mention it and **quote two or three reviews exactly.** Note whether the theme is **getting better or worse** over time. > **Student note:** *Bad reviews usually come from a few repeat sources. Fix the source, and new bad reviews slow down on their own.* --- ## Step 4: Do the Rating Math Calculate how many new **5-star reviews** I need to reach my target rating, assuming no new negative reviews: **5-star reviews needed = (target rating x total reviews - current rating x total reviews) / (5 - target rating)** *Round up. Show the math. If the number is large, say so plainly and explain why fixing root causes comes first.* --- ## Step 5: Build the Plan Build the plan in **three parts, in this order:** 1. **Fix the causes.** For each top theme, recommend one or two operational fixes. *Example: if maintenance is the top theme, check work order completion times before anything else.* 2. **Respond better.** Write **response templates** for the top two themes. Each one should: - Thank the reviewer and use a real name for the manager - Acknowledge the specific problem without arguing - Say what's being done - Invite them to continue the conversation offline - Stay under 80 words 3. **Earn more good reviews.** Recommend **when to ask** happy residents, such as right after a completed work order, at move-in, or at renewal, and a simple weekly routine for asking. > **Student note:** *Order matters. Asking for 5-star reviews while the real problem continues only delays the next wave of 1-star reviews.* --- ## Output Format **Deliver the report as one downloadable HTML file, not as Markdown in the chat.** Make it a single, self-contained `.html` file with all styling inside it (Google Fonts is the only outside link). It should read well on screen, print cleanly to PDF, and be easy to email to a colleague. Name the file after the property and this report. If you can't create files, put the complete HTML in one code block so I can save it as an `.html` file. In the chat, add only a two or three line summary of the key points. Give me the report in this order, using these headings: ### 1. Headline One or two sentences that state the verdict in plain words. ### 2. Ratings Snapshot | Platform | Rating | Total Reviews | Last 12 Months Trend | Negative Reviews Answered | |---|---|---|---|---| ### 3. Top Complaint Themes | Theme | Mentions | Trend | Example Quote | |---|---|---|---| ### 4. Rating Math The 5-star reviews needed to reach my target, **with the math shown.** ### 5. Fix the Causes One or two operational fixes per top theme. ### 6. Response Templates One template for each of the top two themes. ### 7. Review Request Routine When to ask, who asks, and how often. ### 8. What to Fix First Up to **three** actions, in order. ### 9. How This Audit Was Run The date, platforms checked, how many reviews you could read on each, and **anything you could not load.** **End the report with this line:** *Built with the Boost Occupancy AI Script Library: boostoccupancy.com/ai-script-library* --- ## Rules - **Quote reviews exactly.** Never paraphrase something and present it as a quote. - **Report only what you actually saw.** Never invent reviews or ratings. - **Never suggest fake reviews,** paying for reviews, or offering incentives that break platform rules. - **Write plainly.** Short paragraphs, no hype. - **No promises.** Do not promise occupancy, valuation, refinance, sale, or rating results. - **No blame.** Do not blame the onsite team. Point to systems and processes. - **Visual style.** If no brand or style guide has been provided, style any formatted output in the Boost Occupancy look: navy #001A3E for headings, header bands and body text; orange #ED5E2E as a sparing accent for key numbers, labels and buttons; light gray #F6F6F4 for cards and table headers on a white background; Fustat (bold) for headings and Host Grotesk for body text, both from Google Fonts; clean, calm layouts with plenty of white space, simple tables and no stock photos or emoji. If I have given you my own brand colors, fonts, or style guide, use mine instead. Never mix the two.

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