Reputation Audit API
The reputation audit API for the new local SEO stack.
Reputation audits used to be 3-hour manual exercises — pull reviews from Google and Trustpilot, count sentiment themes by hand, calculate reply rates, draft recommendations. This is one POST call. Your agent gets a composite 0-100 reputation score, per-platform breakdown, sentiment analysis, owner reply rate, review velocity, and actionable recommendations in structured JSON.
POST /v1/audit/reputation · 30 credits / call
Local pack rank
Up from #3 last week
Review velocity
Down 20% MoM
NAP consistency
3 mismatches fixed
Profile complete
Missing 3 categories
Top fix: add 3 missing service categories to profile.
These prompts are the new reputation-intelligence workflow.
Connect Local SEO Data as an MCP server once (60 seconds, below). Then your agent runs audits on schedule. Replace bracketed business names with your own.
Run a reputation audit for [prospect business name] in [City, State]. Show me their composite reputation score, which platforms they're strongest on, and the top 3 things customers complain about.
Pull reputation audits for all 12 client locations. Flag any location that dropped below a 70 reputation score or has a reply rate under 50%.
Compare reputation scores for [my business] vs my top 3 local competitors in [City, State]. Which competitor has the highest sentiment score and the fastest response time?
Audit [business name] across Google and Trustpilot. If the negative sentiment ratio is above 25% or a recent review mentions [specific issue], alert me immediately.
What you get back
Live response from POST /v1/audit/reputation for a sample Brooklyn pizzeria.
{
"status": "success",
"credits_used": 30,
"business": "Joe's Pizza Brooklyn",
"location": "Brooklyn, NY",
"reputation_score": 82,
"rating_distribution": {
"positive": 0.68,
"neutral": 0.18,
"negative": 0.14
},
"platform_breakdown": {
"google": {
"rating": 4.6,
"reviews": 847,
"reply_rate": 0.60,
"avg_response_hours": 18
},
"trustpilot": {
"rating": 4.2,
"reviews": 156,
"reply_rate": 0.15,
"avg_response_hours": 72
}
},
"sentiment": {
"positive_themes": ["fast delivery", "great crust", "friendly staff", "authentic taste"],
"negative_themes": ["long weekend wait", "small seating", "inconsistent quality", "parking difficulty"]
},
"review_velocity": {
"reviews_per_month": 42,
"trend": "rising",
"recent_sentiment_shift": "neutral"
},
"recommendations": [
"Increase Google review reply rate from 60% to 90%+ to strengthen engagement signals",
"Address 'long wait on weekends' — mentioned in 18% of negative reviews; consider staff expansion Fridays-Sundays",
"Trustpilot reply rate is 15%; prioritize responding to Trustpilot reviews within 24 hours",
"Emphasize 'authentic taste' and 'great crust' in your profiles — your top 2 sentiment drivers"
]
}The reputation metrics that matter for client work
0-100 score across all platforms
Single number rolling up Google rating, Trustpilot rating, reply rates, sentiment, and review velocity. Comparable across any business, any industry, any location.
Isolated metrics for Google and Trustpilot
Ratings, review counts, owner reply rate, and average response time. See which platforms are performing well and which ones are dragging the composite score down.
Positive and negative themes extracted from reviews
What do customers love and what do they complain about. Aggregated across all reviews so you surface patterns humans would miss.
Reply rate and response time per platform
How engaged is the owner. Reply rates under 50% are red flags. Response time is critical for reputation recovery.
Reviews-per-month and recent sentiment direction
Is reputation improving or declining. Recent trend signals matter more than historical averages for pitches and client retention.
Specific next steps to improve the score
Not just a number — the audit tells you exactly which themes to address and which platforms need attention.
What AI-native operators ship with this
Pre-pitch reputation audits
Before the sales call with a prospect, pull their reputation audit. Walk in knowing their score, their weak platforms, their top customer complaints. Closing rate goes up because the diagnosis is data-backed, not guesswork.
→ For consultantsMonthly client reputation tracking
Agencies cron a monthly reputation audit across all client locations. Flag drops in score or reply rate. Automatically surface sentiment shifts. Built once in Claude, runs on schedule, no dashboard required.
→ For agenciesReputation recovery workflows
A client gets a spike in negative reviews. The audit API surfaces the exact complaint theme. Your agent drafts targeted owner replies and flags for human review. Speed matters for reputation.
→ Sentiment detection agentsCompetitive reputation benchmarking
Pull reputation audits for your top 5 competitors monthly. Track whose score is rising, whose reply rate is slipping, whose sentiment is deteriorating. Know when competitors are losing reputation before they fix it.
→ Competitor Gap APIWhy not just use Birdeye, Podium, or Reputation.com?
Dashboard-era reputation management tools (Birdeye, Podium, Reputation.com, ReviewTrackers, Synup) charge $200–$2000 per month. They're built for humans logging in and reading reports. For agent workflows, pre-pitch audits, or bulk reputation intelligence, they're too slow and too expensive. Here's how the options stack up.
| Approach | Cost per audit | Platforms | Setup | Agent-ready |
|---|---|---|---|---|
| Manual audit (Google + Trustpilot only) | 2–3 hours labor per audit | Google + Trustpilot | None | No |
| Birdeye | $200–$400/mo (~$7–13 per location) | 25+ platforms | Onboarding + verification | Dashboard only |
| Podium | $150–$400/mo (~$5–13 per location) | Google, Facebook, etc. | Setup + integration | Limited API |
| Reputation.com | $520/mo minimum (~$17 per location at 30 locations) | 50+ platforms | Sales call required | Manual CSV export |
| ReviewTrackers | $99–$199/mo (~$3–7 per location) | 100+ platforms | Integration + approval | API available |
| Synup | $199–$799/mo (~$7–27 per location) | 80+ platforms | Dashboard + verification | Limited |
| Local SEO Data Reputation Audit API | $0.15 per audit | Google + Trustpilot (composite) | API key + 1-line MCP config | Native MCP, agent-first |
Use it from your agent
Two integration surfaces: MCP for clients that speak MCP, REST API for everything else.
Direct MCP integration
Drop-in support in Claude Desktop, OpenClaw, Hermes Agent, and any MCP-aware client.
Add to your client's MCP config (e.g. claude_desktop_config.json):
{
"mcpServers": {
"localseodata": {
"url": "https://mcp.localseodata.com",
"headers": {
"Authorization": "Bearer sk_live_..."
}
}
}
}REST API
For Perplexity Computer, ChatGPT Custom GPTs, custom agents, and any platform that calls REST endpoints directly.
Base URL:
api.localseodata.comSee the docs for endpoint reference and auth.
Your first call in three lines
Same call, three syntaxes. The endpoint returns a composite reputation score (0–100), per-platform breakdown, sentiment themes, reply rates, and recommendations. Pair with Google Reviews or Multi-Platform Reviews for deeper per-review analysis. Location defaults to United States but accepts city-state format like 'Brooklyn, NY'.
curl -X POST https://api.localseodata.com/v1/audit/reputation \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{
"business_name": "Joe'"'"'s Pizza",
"location": "Brooklyn, NY"
}'$0.15 per reputation audit
Pay-as-you-go starts at $5. Monthly plans from $19. Funds never expire. No seat fees, ever.
Common questions
What is the Reputation Audit API?+
How is the reputation score calculated?+
Which platforms does the Reputation Audit API cover?+
How does this differ from Google Reviews or Multi-Platform Reviews?+
How does this compare to Birdeye, Podium, and Reputation.com?+
Where does this data come from?+
How fresh is the reputation data?+
Can I use this for prospect audits?+
Can my AI agent use this directly?+
claude_desktop_config.json and your Claude agent calls this endpoint from any prompt. REST: any agent that can make HTTPS calls — ChatGPT Custom GPTs, Perplexity Computer, custom Python agents — hits api.localseodata.com directly with the Bearer token. You don't write integration code. You write the prompt.What changed in 2026 that made Reputation Audit APIs necessary?+
Often used in the same agent prompt
Google Reviews
Full review history with author, rating, text, and owner replies.
POST /v1/reviews/multi-platformMulti-Platform Reviews
Google + Trustpilot reviews in one call.
POST /v1/reviews/velocityReview Velocity
Review growth, sentiment trend, reply rate over time.
POST /v1/audit/localLocal Audit
Composite: rankings + reviews + profile + citations.
Run your first reputation audit in 60 seconds.
50 free credits on signup. Your first reputation intelligence happens through Claude, not curl.