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Comparison

Cheers vs SOCi

SOCi covers localized social, paid social, local pages, and reputation for enterprise multi-location teams. Cheers is narrower and deeper: the evidence behind a local recommendation, executed for you by market.

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Reviewed 2026-09-02. Cheers builds one of the products on this page, so the sources are linked and the wrong-fit cases are named.

The verdict

SOCi is the wider platform and says so plainly. Cheers is narrower and does the work. Pick on whether your gap is social governance or local evidence.

Pick SOCi when

  1. Localized social publishing across hundreds of accounts is a real weekly workload.
  2. Franchisees run their own paid social and somebody has to govern it.
  3. Procurement wants one enterprise contract covering social, ads, reputation, and pages.

Pick Cheers when

  1. The gap is weekly execution on profiles, listings, structured data, and reviews.
  2. You want the specific branch, the specific competitor, and the specific cited source.
  3. You would rather buy the outcome by market than seats in a platform.

Market Baseline, 28 days

The engines do not read the same sources

44.7 / 17.2

ChatGPT vs Gemini directory share

44.7% of its citations

ChatGPT leans on directories

  • 44.7 percent of ChatGPT citations went to directories and review platforms.
  • 48.8 percent went to business websites.
  • Your listing accuracy on Angi, BBB, and Yelp is doing real work here.
  • 70,723 citations in this run.

17.2% of its citations

Gemini leans on your own pages

  • 17.2 percent of Gemini citations went to directories and review platforms.
  • 80.7 percent went to business websites.
  • Your service pages and schema are doing the work here.
  • 41,356 citations in this run.
Same 32 prompts, same 100 metros, same 28 days. Google AI Overviews and AI Mode sat at 10.7 percent directory share and Perplexity at 22.7. A brand that fixes only one side of this is visible on one engine.

Cheers Market Baseline, 28 days ending September 2, 2026, 32 home-services prompts in 100 metros on four engines, 356,019 citations.

Directory and review platforms is a fixed domain list published with the run, covering Yelp, BBB, Angi, HomeAdvisor, Thumbtack, and similar. How this is measured.

SOCi fits when

SOCi publishes six platform modules: a Genius Local Search Agent, Local Pages, a Genius Social Agent, Ads and Boost, a Genius Reputation Agent, and Surveys. The company targets franchises, restaurants, financial services, property management, retail, and healthcare, and reports more than 400,000 agents deployed.

Cheers fits when

Cheers takes a smaller surface and owns the execution: review generation with employee attribution, profile and listing quality, structured data, local pages, and whether each market gets recommended by AI assistants.

Feature and service map

Cheers and SOCi side by side

SOCi wins on breadth across social and paid. Cheers wins on depth in the evidence behind a local recommendation.

PlatformLocalized social publishingPaid social and boostingReviews and reputationAI answer tracking by marketEmployee-level attribution
CheersNot the focusNot the focusCore capabilityCore capabilityCore capability
SOCiCore capabilityCore capabilityCore capabilityCore capabilityNot the focus
Core capabilityPartial or add-onNot the focus
Cheers

Pricing: Custom, scoped by locations and execution support

Best for: Service brands with distributed frontline teams that need local visibility work done, not another platform to staff

Strengths

  • Keeps prompt, provider, market, competitor, and cited-source detail on every AI run
  • Ties review capture to the employee and location that earned it
  • Works the profiles, listings, schema, and local pages behind each market

Tradeoffs

  • No social publishing calendar and no paid social management
  • Not built for enterprise social governance across thousands of franchisee accounts
  • Custom pricing, so procurement teams wanting a rate card will be disappointed
SOCi

Pricing: Not published

Best for: Enterprise and franchise brands that need localized social, paid social, local pages, and reputation in one platform

Strengths

  • Six published modules covering local search, local pages, social, ads, reputation, and surveys
  • Built for franchise, restaurant, retail, healthcare, financial services, and property management scale
  • Agent-based execution model across search, social, and reputation at once

Tradeoffs

  • Breadth across social and paid means less depth per market on local evidence
  • SOCi does not publish pricing on its public site
  • Employee-level review attribution is not part of the public positioning

The short version

  • Localized social publishing and co-op ad spend are the workload: SOCi
  • You run 1,000 or more locations with franchisee social governance: SOCi
  • The reviews, profiles, and local pages are the weak link: Cheers
  • You need employee-level accountability for reputation: Cheers

Capability reads come from each vendor's own public product pages, linked below, reviewed on 2026-09-02. Pricing appears only where the vendor publishes it. Cheers builds the highlighted platform, so treat this as a vendor-authored map and pressure-test it in your own demos.

In their own words

"Finally, Software That Does The Work For You"
SOCi homepage

Read September 3, 2026. Quoted verbatim.

How we read it

Cheers makes a version of the same claim, so this is not a gotcha. The difference worth pressure-testing in both demos: ask who checks the output, and ask what happens when the work needs a human to call a franchisee.

Switching

What moving from SOCi involves

  1. 01Week 1

    Name what SOCi keeps

    Social calendar, paid boost, and co-op governance have no Cheers equivalent. Decide that in week one, in writing.

  2. 02Weeks 1 to 2

    Baseline every market independently

    Profiles, listings, pages, schema, review recency, and AI answers read per location, not rolled up.

  3. 03Weeks 2 to 4

    Move the evidence lane

    Profile access, listing sources, structured data, and frontline capture transfer branch by branch.

  4. 04Day 90

    Remeasure the same prompts

    Ninety days on the identical prompt set, so the delta means something.

Cheers onboarding sequence for brands moving off an enterprise multi-location platform.

  1. Four-step flow describing what switching from SOCi to Cheers involves.
  2. 1. Name what SOCi keeps: Social calendar, paid boost, and co-op governance have no Cheers equivalent. Decide that in week one, in writing.
  3. 2. Baseline every market independently: Profiles, listings, pages, schema, review recency, and AI answers read per location, not rolled up.
  4. 3. Move the evidence lane: Profile access, listing sources, structured data, and frontline capture transfer branch by branch.
  5. 4. Remeasure the same prompts: Ninety days on the identical prompt set, so the delta means something.

Read this part

Where Cheers is the wrong choice

Cheers loses these deals on purpose, because the wrong shape of vendor costs a year.

  • Social content is the main deliverable. Cheers publishes no social calendar and runs no local social accounts.
  • You need paid social managed per location, including franchisee boosting budgets. SOCi does this and Cheers does not.
  • Your rollout spans thousands of locations across many countries. Cheers is built for United States service brands, typically in the 20 to 500 location range.
  • Procurement requires a published rate card and a standard enterprise SKU. Cheers scopes each brand.
  • You already have a strong in-house local marketing team and only need software. Buying managed work you plan to do yourself is money burned.

Pricing

Pricing posture

SOCi publishes no pricing and routes to a demo or quote. Cheers does the same. The useful comparison is not the number, it is what the number buys: platform access and agent execution on SOCi's side, scoped managed work by market on ours.

  • SOCi publishes no plan prices on its public site as of 2026-09-02.
  • Cheers quotes after a demo, scoped by location count and execution support.
  • Ask both vendors to name what lands in your account in week one, week four, and week twelve.
Get a Cheers Quote

Sources

Every SOCi capability on this page comes from these public pages, reviewed on 2026-09-02.

What Cheers actually does

Other comparisons

FAQ

Questions buyers ask on this comparison.

Short answers, including the ones where SOCi is the better purchase.

For the local search and reputation half, it is. For localized social publishing and paid social, it is not, because Cheers does neither. Brands that buy SOCi mainly for social should stay with SOCi.

SOCi publishes a Genius Local Search Agent covering local SEO and AI search visibility. Compare it on how much market-level detail each run keeps and who acts on the result.

At 900 locations the honest answer is that it depends on the scope. Cheers is built for roughly 20 to 500 locations, and above that range the conversation should start with which markets matter most rather than blanket coverage.

That arrangement works when the lanes are clear: SOCi keeps social and paid, Cheers takes review generation, profile quality, local pages, and AI answer tracking. Overlapping review ownership is the failure mode to avoid.

SOCi does not publish prices. Both vendors quote after a scoping conversation, so plan on two demos before you can compare cost honestly.

Related GEO Academy guides

The research behind this comparison.

These guides carry the vendor detail, testing method, and operating context this page summarizes.

Bar chart of AI appearance rate by branch count: 27.5% for organizations with none or one child location, 23.2% for those with two to five

Playbooks

How Franchise Brands Get Recommended by ChatGPT

How franchise brands can get recommended by ChatGPT by cleaning up local pages, profiles, reviews, citations, and frontline proof.

Open Guide
Weekly pooled AI appearance rate for the Cheers home-services panel: 40.4% in the week of July 6, 30.7% in the week of July 27, 27.9% in the week of August 10

Playbooks

How to Audit AI Search Visibility Across Locations

A practical audit workflow for multi-location service brands that need to measure AI visibility by market, source, service line, and location.

Open Guide
Bar chart of citation rates by engine, Perplexity highest at 34.3 percent

Comparisons

Best Local SEO Software for Multi-Location Brands

How multi-location service brands should compare local SEO software across reviews, listings, pages, AI visibility, reporting, and ownership.

Open Guide

Next step

See it against your own markets.

Bring your location list. The demo walks through what AI assistants say about your brand today, which competitors show up instead, and what evidence is missing by market. If SOCi is the better fit, we will say so on the call.

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