Features
Six workspaces. One correlation engine.
Recenzi is organized into six workspaces. Each one pulls a signal from your Google Business Profiles, surfaces the correlations that matter, and points to a decision you can defend. Every workspace below ships with every plan — no upsells, no “contact us” features.
01 / Reviews & sentiment
Every review. Every theme. Every location.
Recenzi ingests every Google review across every profile and tags it by sentiment, theme, language, and named staff. You stop scrolling. You start reading the trend.
What’s in the workspace
- Unified inbox across every location with sentiment, theme, and language filters
- Automatic theme extraction (wait time, communication, pricing, technician quality, etc.)
- English + Spanish detection and sentiment scoring
- AI-drafted replies in your brand voice (owner approves before sending)
- Response-time SLA tracker per location vs. corporate target
- Unanswered review queue sorted by age and severity
The insights it produces
- Which themes are pulling sentiment up or down at which locations
- Whether a negative review predicts a call drop in the next 7/14/30 days at this location
- Which locations are getting slower at responding — before the bottom-10 list calls them out
- What customers actually talk about (theme by theme, location by location)
In practice
“Wait time” is showing up in two markets — and it’s costing calls.
Tulsa’s average rating slipped from 4.7 to 4.4 over six weeks. Nine of fourteen new 3-star reviews mention “wait time.” Recenzi correlates that to a 22% tap-to-call drop at the same location. Wichita shows the same theme and an 11% call drop. Same diagnosis, two markets. The fix isn’t a reply template — it’s a dispatcher conversation.
Demo · reviews & sentiment workspace
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02 / Staff attribution
Pay the people who earn the reviews.
The wedge no other GBP tool ships. Recenzi finds every staff name mentioned in your reviews, scores them against your rubric, and produces a bonus-ready report your finance lead can act on.
What’s in the workspace
- Auto-detect staff names mentioned in review text (English + Spanish)
- Configurable scoring rubric (e.g. 5-star named mention = $25; 4-star = $10; negative mention = $0)
- Monthly tallies per staff per location
- Payroll-ready CSV export, plus Google Sheets sync
- Corporate leaderboard across all locations
- Backfill mode: re-score 12 months of historical reviews on connect
The insights it produces
- Who is generating the most named, repeat, high-rating mentions per location
- Which staff member’s mentions correlate to higher tap-to-call days for that location
- Where your manual spreadsheet was under-counting (or double-counting) bonus dollars
- Top performers across the entire franchise, not just the location they sit in
In practice
Your spreadsheet had Mike at 18%. He was actually at 32%.
At one ServPro location, Recenzi backfilled four months of reviews the marketing lead hadn’t had time to comb through. “Mike” showed up in 32% of 5-star reviews — not 18%. With the rubric set at $25 per 5-star named mention, that’s $475 in bonus payouts the franchise had under-counted in a single quarter. Now it auto-tallies every month and lands in the finance lead’s inbox the morning of the 1st.
Demo · staff attribution workflow
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03 / Posts & content
Find out if posting is actually doing anything.
Recenzi tracks every post you publish across every location, tags it by intent, day, format, image, and CTA, and tells you what it actually moved. With sample sizes large enough to defend the decision.
What’s in the workspace
- Bulk-publish across your whole portfolio with auto-localized copy
- Per-post tagging: intent (educational / urgency / showcase / transactional), tone, day, image presence, CTA
- Lift measurement against matched baseline windows per location
- Confidence indicator on every reported lift — below-threshold claims are hidden, not faked
- Best-day-to-post recommendation per location, with sample size shown
- Post idea generation from what’s working at similar locations
The insights it produces
- Whether posts move impressions, website clicks, or calls — and which of those they move
- Which post intent works at which location (your showcase posts may be your urgency posts elsewhere)
- How long the lift lasts (24h, 72h, 7 days) before fading
- Whether image posts outperform text-only at a given location
In practice
47 posts. 14% lift on directions. Zero lift on urgency.
Across 12 locations and 47 “tip Tuesday” posts last quarter, direction requests rose 14% in the 72 hours after publish (95% confidence). The 11 “urgency” posts moved nothing measurable. The 6 before/after image posts drove 28% more website clicks per location. Next quarter you write fewer, better posts — and you can show your owner why.
Demo · post effectiveness workspace
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04 / Keywords & discovery
Know why each location ranks for what it ranks for.
Every query bringing impressions to every location, in one searchable view. Branded vs. non-branded. Rising, declining, brand-new. Recenzi cross-references the keyword to the profile, posts, photos, and geography so you can act — in paid, in SEO, in content.
What’s in the workspace
- Full monthly evolution table per location — every keyword, every month
- Branded vs. non-branded toggle (hide your own name and its misspellings)
- Rising, declining, and new keywords surfaced per location, per month
- Excluded-term list per profile (junk queries you never want to see again)
- Cross-location compare: same keyword, two locations, side by side
- Export feeds for paid search campaigns and SEO content briefs
The insights it produces
- Why one location ranks for one cluster of terms and another doesn’t
- Whether the gap is profile copy, post topics, photo subjects, or geography
- Which queries actually drive tap-to-call vs. just impressions
- How your customer’s vocabulary differs market to market (so you can match it)
In practice
Phoenix: 4,200 impressions for “flood cleanup near me.” Tucson: 380.
Same services, comparable service area, identical Google category. Recenzi cross-references both profiles: Phoenix runs three posts a month with “water,” “flood,” and “damage” in the copy. Tucson posts about staff anniversaries. The diagnosis is in the posts, not the profile. Recenzi hands you Phoenix’s top 40 queries as an SEO brief and a paid keyword list so Tucson’s next campaign starts ahead of zero.
Demo · keyword evolution workspace
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05 / Calls & revenue
From tap-to-call to booked job, in one view.
Stars are a vanity number. Calls are the KPI. Recenzi closes the loop: which review, post, or keyword drove the tap, whether your team answered, and — with CRM tie-in — whether it became revenue.
What’s in the workspace
- Per-location tap-to-call tracking captured directly from GBP
- Optional CallRail / Twilio / CallTrackingMetrics integration for answered/abandoned/duration
- Call duration buckets (quick hangup vs. real conversation vs. long call)
- Optional CRM integration: ServiceTitan, Jobber, HouseCallPro — close the loop to booked job
- Per-channel breakdown: views vs. calls vs. directions vs. website clicks
- Attribution model that ties each call back to its likely trigger (review, post, keyword)
The insights it produces
- Which signal triggered each call — and which signals never do
- Of every 100 taps, how many become a conversation — and how many become a job
- Which days, posts, or staff mentions caused the call peaks
- Where your team is dropping the call after the customer taps
In practice
218 taps. 142 answered. 51 booked. One review caused the peak.
Atlanta last month: 218 tap-to-calls, 142 answered, 51 became booked jobs. Recenzi shows the Tuesday-May-6 peak landed 14 hours after a 5-star review that named Maria. Without the correlation, you’d be looking at three separate dashboards and guessing what worked. With it, you know the trigger, the conversion rate, and where Maria should sit in next month’s bonus calculation.
Demo · calls & revenue closure
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06 / Anomalies & cross-location
Find the location that’s quietly slipping.
Recenzi monitors every signal at every location. When something shifts, we tell you what changed, why it probably changed, and what to do — including drafting the response. Corporate sees the bottom-10 with the exact failure beside each name.
What’s in the workspace
- Anomaly detection across rating, calls, impressions, keywords, posts, photos, NAP
- Cross-reference diagnostics: when calls drop, what else changed in the same window
- Recommended next 2–3 actions per anomaly, with draft text where applicable
- Compliance scoring: post cadence, response SLA, photo freshness, profile completeness, NAP consistency
- Bottom-10 view for corporate with the specific failure per location
- Daily / weekly digest email per owner or per corporate role
The insights it produces
- Not “calls dropped 28%.” Why — and what to do next
- Which locations are failing on which specific compliance dimension
- Whether a negative review, a post gap, or a keyword loss is the proximate cause
- How each location performs vs. the franchise median, dimension by dimension
In practice
Calls dropped 38% in Indianapolis. The fix wasn’t another post.
Memorial Day weekend, Indianapolis tap-to-calls dropped 38%. Recenzi flagged a 1-star review from three days earlier mentioning a busy dispatch line, plus an 18-day post cadence gap, plus a 17% impression drop on “water damage near me.” The recommended action wasn’t to publish another post — it was a staffing conversation. The corporate digest had it on the Monday-morning email.
Demo · anomaly diagnostics
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Also included
The smaller features you’ll touch every day.
The six workspaces are the spine. These are the everyday utilities that make the spine usable.
Multi-location rollup
One dashboard. Every location. Drill down in one click.
Review request links
QR codes, SMS, and email follow-ups after every service call.
GBP Q&A monitoring
Surface unanswered questions on your profiles and draft answers.
Photo intelligence
Which photos drive views, which are stale, what to upload next.
Spanish-language coverage
Detection, sentiment, and theme extraction in English and Spanish.
Role-based access
Corporate sees the bottom-10. Franchisees see their own pulse.
Backfill on connect
12 months of history pulled in before your demo call ends.
Export anything
CSV, Google Sheets sync, or webhook to your warehouse.
Unlimited users
Owners, managers, marketing, finance — invite the whole org.