Reputation & Review Management Audit — Phase 15
Executive Summary
Online reputation is a direct local pack ranking signal and an AI visibility gatekeeper. Businesses with <4.0 stars are systematically excluded from Google AI Overviews, ChatGPT recommendations, and Perplexity citations for most local service categories (2025). Review velocity — not review count — is what separates stagnant profiles from rising ones: Google's algorithm weights reviews from the last 60–90 days at 3–5× more than older reviews (confirmed via multiple local SEO studies, 2024–2025). A single SMS-based review request system set up in one afternoon can generate 4–8 reviews/month consistently — the highest-ROI action in local SEO. This phase audits the full review ecosystem, benchmarks against competitors, identifies fake/malicious content, and builds a systematic reputation management infrastructure.
2025 reputation benchmarks:
- Star rating threshold for AI inclusion: ≥4.3 (Google AIO), ≥4.0 (ChatGPT/Perplexity)
- Review count for local pack top-3: 50–200 depending on niche and market size
- Review velocity minimum to rank top-3: 4–8/month (mid-sized city, home services)
- Response rate target: 100% (Google confirms response rate is a quality signal)
- Recency weighting: reviews in last 60–90 days = 3–5× weight of older reviews (BrightLocal 2025)
- CTR lift from star ratings in SERPs: +17–25% (Search Engine Land, 2024)
Why Reputation Is an SEO Factor (2025)
- Local Pack ranking — review count and rating are direct top-3 ranking signals (BrightLocal 2025 Local Search Survey)
- CTR — star rating in results increases click-through rate by 17–25% (Search Engine Land, 2024)
- E-E-A-T — reviews are Google's primary trust signal for local Quality Rater Guidelines
- AI visibility — Google AI Overviews, ChatGPT, and Perplexity explicitly reference review ratings when recommending businesses; <4.0 stars = excluded from AI recommendations in most categories
- Conversion — 93% of consumers say online reviews impact their purchasing decisions (BrightLocal 2025); average consumer reads 7 reviews before trusting a business
Tools for this phase:
| Tool | Purpose | Cost | |------|---------|------| | BrightLocal | Review dashboard, NAP scan, citation audit, review generation | Paid ($29–79/mo) | | Podium | SMS-based review requests, review inbox, webchat | Paid ($289+/mo) | | Birdeye | Multi-platform review monitoring, AI response generation, sentiment analysis | Paid ($299+/mo) | | ReviewTrackers | Competitive benchmarking, sentiment analysis, reporting dashboard | Paid | | Grade.us | Review generation funnels, drip campaigns, white-label reporting | Paid ($110+/mo) | | Google Business Profile | Direct review management, Q&A, insights dashboard | Free | | Google Alerts | Monitor brand mentions in real-time across web | Free | | Mention / Brand24 | Social listening, competitor review tracking, sentiment scoring | Paid |
Step 1: Read Project Context
Read {AUDIT_DIR}/intake-data.md for business name, URL, location, and services. Read {AUDIT_DIR}/local-findings.md for GBP review baseline. Read {AUDIT_DIR}/competitor-profiles.md for competitor review benchmarks.
Step 2: Review Inventory — Google
Google Reviews Baseline
Search [Business Name] [City] in Google Maps and note:
- Total review count: [X]
- Average rating: [X.X] / 5.0
- Rating distribution (1★ through 5★)
- Date of most recent review: [date]
- Date of earliest review: [date]
- Review velocity (per month over last 3 months): [X/month]
- % of reviews with photos: [X%]
- % of reviews mentioning specific services: [X%]
- % of reviews with keywords in text: [X%]
2025 Review Benchmarks (Local Pack Competitiveness)
| Metric | Strong | Competitive | Weak | Critical | |--------|--------|-------------|------|----------| | Google rating | ≥4.7 | 4.3–4.6 | 4.0–4.2 | <4.0 | | Review count | ≥100 | 50–99 | 25–49 | <25 | | Velocity (per month) | ≥8/month | 4–7/month | 1–3/month | <1/month | | Response rate | 100% | 80–99% | 50–79% | <50% | | Response time | <4 hrs | 4–24 hrs | 1–3 days | >3 days | | % reviews with photos | ≥30% | 20–29% | 10–19% | <10% | | % reviews mentioning services | ≥40% | 25–39% | 10–24% | <10% | | Negative review recovery rate | ≥80% | 60–79% | 40–59% | <40% |
Review benchmarks by market size and niche: | Niche | Small Market (<100K) | Mid Market (100K–1M) | Major Metro (1M+) | |-------|---------------------|---------------------|-------------------| | Home services (plumbing, HVAC) | 2–4/mo, 25+ total | 4–8/mo, 50+ total | 8–15/mo, 100+ total | | Legal / professional | 1–2/mo, 20+ total | 2–4/mo, 40+ total | 4–8/mo, 75+ total | | Healthcare / dental | 2–4/mo, 30+ total | 5–10/mo, 75+ total | 10–20/mo, 200+ total | | Restaurant / food | 5–10/mo, 50+ total | 15–30/mo, 150+ total | 30–50/mo, 500+ total | | Automotive | 2–5/mo, 40+ total | 5–10/mo, 100+ total | 10–20/mo, 200+ total |
Veto: Rating <3.5 → maximum reputation score 40/100; effectively disqualified from local pack. Veto: Rating <4.0 → excluded from Google AIO recommendations for most service categories.
Review Response Analysis
- Owner response rate: [X%] of reviews responded to
- Average response time: [days]
- Response quality: Generic template / Personalized / Service-specific
- Negative reviews responded to: [X%]
- Tone of responses: Professional / Defensive / Empathetic
Step 3: Multi-Platform Review Inventory
| Platform | Review Count | Rating | Response Rate | Profile Complete? | Link | |----------|-------------|--------|---------------|-------------------|------| | Google | | | | | | | Yelp | | | | | | | Facebook | | | | | | | BBB | | | | | | | Trustpilot | | | | | | | [Industry-specific] | | | | | | | [Industry-specific] | | | | | |
Industry-specific platforms by niche:
- Healthcare: Healthgrades, Zocdoc, WebMD, RateMDs
- Legal: Avvo, Martindale, Lawyers.com
- Home services: Angi, HomeAdvisor, Thumbtack, Houzz
- Restaurants: Tripadvisor, OpenTable, Grubhub
- Automotive: Cars.com, DealerRater, Carfax
- Hospitality: Booking.com, Hotels.com, Expedia
- Beauty/Wellness: Vagaro, StyleSeat, Mindbody
Step 4: Competitor Review Benchmarking
| Metric | Client | Comp 1 | Comp 2 | Comp 3 | Gap | |--------|--------|--------|--------|--------|-----| | Google review count | | | | | | | Google rating | | | | | | | Review velocity/month | | | | | | | % 5-star | | | | | | | Response rate | | | | | |
Findings:
- Is client above/below competitor average?
- What is the review count gap to close?
- Which competitor has the strongest review velocity?
Step 5: Sentiment & Content Analysis
Positive Review Themes
What do customers praise most? (Extract from actual reviews)
- [theme 1]: mentioned in X reviews
- [theme 2]: mentioned in X reviews
- [theme 3]: mentioned in X reviews
These are SEO opportunities — build content around what customers love.
Negative Review Themes
What complaints recur?
- [complaint 1]: mentioned in X reviews
- [complaint 2]: mentioned in X reviews
These are operational problems AND reputation risks. Flag for business improvement.
Keyword Presence in Reviews
Do reviews contain service keywords?
- "[primary service]": mentioned in X% of reviews
- "[location]": mentioned in X% of reviews
Service keywords in reviews help local pack rankings.
Step 6: Review Generation Assessment
Does the business have a systematic review generation process?
| Question | Yes/No | |----------|--------| | Review request sent after every job/purchase? | | | Review request via SMS? | | | Review request via email? | | | QR code at point of sale/service? | | | Staff trained to verbally ask for reviews? | | | Review link easily accessible on website? | | | Review link on GBP? | | | Follow-up system for non-responders? | |
Assessment: Active system / Passive (sporadic) / None