AI Simulator

Store the answer returned by each configured AI provider API.

Run a controlled automotive discovery query against one configured provider at a time. Repeat the same query to compare evidence.

On-demand test drive

One automotive discovery question. One provider API per run.

Pick the query and provider. SocialCRM stores the returned text, model, mode, evidence, and evaluation state.

Not a ranking dashboard

You get the text the model returned — including the shop it sent the driver to instead of yours.

Not a blended score

Live answers and content-readiness are separate modes. Compare them; don’t average them.

Tied to a shop, not a workspace dump

History, scores, and suggestions stay on the brand you selected.
AI Simulator result showing the selected provider, stored answer, accuracy evidence, and suggested fixes
AI Simulator
Coverage

One query. Four provider API checks.

The available checks depend on provider credentials configured for your workspace. Other consumer and search surfaces are landscape references only.

9 AI surfaces — 5 provider API checks, 4 landscape references

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

How it works

From a customer question to a scored answer

01

Pick the shop and the question

Use a brand-overview query, a competitor comparison, a pricing-style question, or paste a custom prompt — including ones from the prompt gallery.

02

Choose live, readiness, or both

The organic probe asks the provider API without shop context. The readiness probe includes the approved profile. Both modes stay separate.

03

Read the provider API answer

Each run stores the response, whether you were mentioned, your position, competitor names, sentiment, and an accuracy score.

04

Fix the gaps, then re-run

Issues and suggested copy land on the same run. After you update the shop profile, run it again and compare the score.

Example run

“Best independent BMW shop near Oakland”

Illustrative. Your run shows the actual model text, plus mention, position, and issues — not a summary card pretending to be the answer.

OpenAI API
Yes · 3rd
Names a dealer first; hours off by two hours
Anthropic API
Yes · 2nd
Correct services; drops ASE certification
Gemini API
No
Names two competitors in the target ZIP
Perplexity API
Yes · 1st
Cites the site; phone number is stale
What you get

The fields the product actually stores

Live vs. content-readiness

Compare an organic provider API probe with a grounded readiness probe. Do not present either response as a consumer-app capture.

Driver-style queries

Brand overview on Starter. Competitor and pricing-style queries on Pro. Custom prompts when you need a specific service or make.

Accuracy, not just mentions

Each response is scored on factual accuracy, completeness, clarity, and brand alignment — plus the issues the judge flagged.

Share of voice in the answer

Whether you were named, how early, how often, which competitors showed up, and the sentiment of the write-up.

Suggested fixes on the run

Pro workspaces get improvement suggestions with current vs. proposed copy, so the next simulation has something concrete to test.

History per shop

Runs stay scoped to the selected shop. Switching locations never mixes another shop's results into the view.

Start from a real driver prompt in the prompt gallery, or open the tool in the dashboard after signup.

Simulator vs. Monitoring

One asks on demand. The other watches for drift.

AI Simulator

Mystery-shop a query now

  • You choose the prompt and provider API
  • Live answer, content-readiness, or both
  • Accuracy score, issues, and suggested copy
  • History scoped to one shop

AI Monitoring

Catch changes after they ship

  • Repeats approved provider API queries on a schedule
  • Keeps failed checks and evaluation failures explicit
  • Routes a correction into the fix workflow
  • Stores results for before-and-after comparison
AI Monitoring →
Trust and Operations

Security your service manager never has to think about.

When AI represents your shop, the data behind it has to be locked down. The controls are in the product and documented for your team.

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:

Run one controlled provider API check.

Start with one available provider. Full Simulator runs use only the credentials configured for your workspace.

No credit card to start