One 1-star from a diner who never showed up costs a mid-sized restaurant an estimated $8,900 in lost annual bookings (Cornell Hospitality Report, 2024 update). We remove the reviews that shouldn't be there: no-shows, wrong-location confusion, delivery-app off-topic complaints, competitor sabotage, extortion, and health-code false claims. Reservation-log matched, jurisdiction-aware, billed only after successful removal. No advance, no risk.
No advance · 24-hour eligibility answer · Independents, groups and 400-outlet chains

Restaurants sit at the intersection of three problems no other industry combines: high walk-in volume that makes no-show reviews easy to file, third-party delivery couriers whose failures land on your Google profile, and razor-thin margins where a fake 1-star has measurable revenue impact.
A review from someone with no OpenTable, Resy, SevenRooms or Toast POS record for the claimed date is the single strongest evidence Google accepts. First-pass removal on documented no-shows: 41%.
Late Uber Eats, DoorDash and Deliveroo orders trigger 1-stars against your dine-in profile. Google's 2024 policy treats these as off-topic. Removal rate 54% first-pass, 71% on resubmission.
"Found a rat / hair / food poisoning" claims are removable when contradicted by same-week FHRS (UK), local health department (US) or HACCP audit records. Documented contradictions win.
Sources: Cornell School of Hotel Administration, "Reviews and Revenue", 2024 update; Google Contributed Content Policy, February 2024 refresh.
Every accepted case maps to one of these six patterns. Reviews that do not match any pattern are declined in writing before any invoice is raised.
| Pattern | Evidence and typical outcome |
|---|---|
| Never visited / never dined | Reviewer left a rating for a restaurant they never entered. Google's Contributed Content policy flags this as fake engagement. Cross-reference reservation logs, POS receipts, and door-camera timestamps to prove non-visit — first-pass removal rate in our 2025-26 restaurant log: 41%. |
| Wrong-location confusion | Guest reviews chain location A while eating at location B. Common with franchises and multi-unit groups. Documented mismatch (order number, table number, receipt) triggers Google's location-error removal path in 6-9 days. |
| Delivery-only complaints on dine-in profile | Uber Eats, DoorDash, Deliveroo or Just Eat courier failures land on the physical restaurant's Google profile. Google's own guidance (2024 refresh) treats these as off-topic when the restaurant does not control the delivery leg. |
| Competitor sabotage / burner accounts | Reviewer's profile shows a cluster of 1-stars against nearby competing restaurants and 5-stars for one specific rival. Pattern evidence packs (author history, IP overlap, review-burst timing) are what actually moves Trust & Safety. |
| Extortion attempts ("remove this fee or I 1-star you") | Screenshots of the demand plus Google policy citation. In the UK this also engages CPRs 2008 reg. 7 aggressive practice; in the US, FTC 16 CFR §465. Removal rate on documented extortion: 68% within 21 days. |
| Health-code false claims | "Found a hair / a rat / food poisoning" claims contradicted by same-week inspection reports (US: local health department; UK: Food Standards Agency FHRS; EU: HACCP audit). Documented contradictions are removed under Google's harmful/misleading content policy. |
The restaurant queue applies Google's six global policy categories plus the delivery-off-topic rule refreshed in 2024. Filings on protected content lower removal rates on your legitimate cases for months.
No black-box promises. Every step is verifiable from your own Google Business Profile dashboard, and every fee is triggered after removal.
You send the review URLs and a date range. We cross-reference with OpenTable / SevenRooms / Resy / Toast / Square / Lightspeed exports and door-camera timestamps. Reviews with no match are the highest-yield category — 41% first-pass removal on our 2025-26 restaurant queue.
We file the Redressal Form quoting the exact Contributed Content clause (Fake Engagement, Off-Topic, or Restricted Content) and attach evidence. Median first substantive response on the restaurant queue: 3.2 days globally, faster in India (Rule 3(2) 15-day window) and Germany (NetzDG-aligned).
First-pass denials are common on borderline cases. Our restaurant resubmission rate is 73%. Second-pass removal with author-pattern evidence (review history, IP cluster, review-burst timing): 46%. Restaurants with 3+ locations benefit most from cross-location pattern packs.
US: FTC 16 CFR §465 complaint and state-defamation letter. UK: DMCC 2024 CMA report + Defamation Act 2013 s.5 notice. Germany: UWG §5 Abmahnung + StGB §186/187. France: DGCCRF signalement. India: IT Rules Rule 3(2) Grievance Officer complaint. This tier removes the majority of remaining defensible cases.
Live-link screenshot and verification from your own Google Business Profile dashboard. $449 (or local equivalent) per removed review, billed only after removal is confirmed. If we fail, you pay nothing.
A weak filing against a real diner erodes your removal-rate baseline for months and can trigger a Google Business Profile suspension in the worst case. Screening cases out is worth as much as filing them well.
An honest 1-star is protected commercial speech. Reply publicly, invite them back, and move on.
That correspondence weakens any later filing and can trigger a Google policy strike against your own profile.
Opinion is protected. Removal requires a false statement of fact — not a taste judgement.
Removal rates drop below 15% after 24 months. Time is better spent on recent cases and on generating new positive reviews.
No advance, no attempt fee, no monthly minimum. Local currency equivalents apply (£359 UK, €449 EU, C$599 Canada, A$649 Australia, ₹19,999 India, R$2,499 Brazil), plus VAT/GST where applicable. Volume pricing from 50 reviews per quarter for multi-location groups. If we take a case and fail, you pay nothing.
Sibling pages and background reading from the BGR Review team.