About Us

We make shop data usable in AI discovery.

SocialCRM stores verified shop facts, checks configured AI provider APIs, and routes evidence-backed corrections.

AI discovery landscape — product coverage varies

AI Overviews by Google

AI Overviews

Google · Landscape only

AI Mode by Google

AI Mode

Google · Landscape only

Copilot by Microsoft

Copilot

Microsoft · Landscape only

Perplexity API by Perplexity

Perplexity API

Perplexity · Provider API check

OpenAI API by OpenAI

OpenAI API

OpenAI · Provider API check

Anthropic API by Anthropic

Anthropic API

Anthropic · Provider API check

Gemini API by Google

Gemini API

Google · Provider API check

Meta AI by Meta

Meta AI

Meta · Landscape only

Grok API by xAI

Grok API

xAI · Provider API check

AI Overviews by Google

AI Overviews

Google · Landscape only

AI Mode by Google

AI Mode

Google · Landscape only

Copilot by Microsoft

Copilot

Microsoft · Landscape only

Perplexity API by Perplexity

Perplexity API

Perplexity · Provider API check

OpenAI API by OpenAI

OpenAI API

OpenAI · Provider API check

Anthropic API by Anthropic

Anthropic API

Anthropic · Provider API check

Gemini API by Google

Gemini API

Google · Provider API check

Meta AI by Meta

Meta AI

Meta · Landscape only

Grok API by xAI

Grok API

xAI · Provider API check

Independent auto service shop exterior with technicians visible across multiple bays
Real shop context

Local discovery is changing faster than most shops can publish.

Drivers can now ask an AI assistant a direct question like “Who fixes BMW brakes near me?” and move straight to the answer.

Shops with clean, specific service data win. The problem: nothing in your SMS is built to publish outside the shop.

SocialCRM records the approved facts, stores provider answers, routes a correction, and supports a repeat check.

Illustrative service advisor workflow beside a schedule board
Booking workflow concept
Service advisor working at a workstation beside an active service bay
Workflow data

Why we built this

The systems drivers now ask for advice can't see inside your shop.

Your services, certifications, specialties, and hours often stay inside shop systems or private documents. Public sources and AI-provider answers can then drift from the facts your team approved.

How we work

Real shop data in. AI recommendations that book service out.

01

Shop Data First

We start with services, certifications, makes, hours, and public source evidence. Your team verifies each fact before publication.
02

Monitor What AI Says

We store controlled answers from configured OpenAI, Anthropic, Google Gemini, and Perplexity APIs. The record shows when an answer differs from the approved profile.
03

Deploy the Fix

An alert is not a fix. Findings become profile updates and content corrections your team ships.
04

Tie It to Evidence

Every fix ties to a specific query, source fact, owner, and repeat check.

What we optimize for

Accurate shop facts

Hours, services, certifications, makes, and models. The team must confirm each fact before SocialCRM uses it as evidence.

Visible service expertise

Being an ASE Master Tech for diesel isn’t something AI can guess. We turn specialty certifications and the vehicles you actually service into data AI can cite.

Measured change, not vanity

The release measures provider answers and tracked fixes. It does not claim appointment or revenue attribution.
Built for Real Operations

If we can't cite the source, we don't publish the claim.

Each published claim must link to an approved shop fact, certification, public page, or other named source.

01

Security by default

TLS in transit, AES-256 at rest, and row-level security for tenant isolation.
02

Access and accountability

Role-based access control, MFA, and audit logging for teams that need operational clarity.
03

Plain-language documentation

Security details, DPA terms, and subprocessor information are available before procurement asks.
04

Built for real operations

Support for multi-location workflows, shop-system alignment, and AI-facing brand accuracy.

The details, in writing:

Find out how AI sees your shop today

Run a controlled check against an available provider API. Review the stored answer and the facts that need verification.