Know exactly what's costing your practice AI search visibility.
Sandra audits which directories shape AI answers about your clinic, scores accuracy field-by-field, and inspects your website against generative citation criteria — with zero PHI risk.
Update Friday clinical hours in Schema.org JSON-LD to overwrite legacy 2024 directory cache across Perplexity citation graphs.
4 AI Engines
Continuous Multi-Model Audit
Audits citation sources across ChatGPT, Perplexity, Google AI Overviews, and Claude.
Field-by-Field
Accuracy Verification
Evaluates public practice name, clinic address, provider NPI, phone lines, and operating hours.
0 PHI Exposed
Public Domain Only
Audits evaluate public web crawler visibility and open citations — zero patient health records touched.
Comprehensive diagnosis across every touchpoint generative models read.
Generative models do not just check one directory. Sandra audits the entire public knowledge graph that shapes patient recommendations.
Which sources shape AI answers about your practice?
When prospective patients ask conversational AI engines to recommend a local specialist or surgical clinic, LLMs synthesize answers from specific directories, medical boards, and public review sites. Sandra maps the exact source footprint shaping answers about your clinic — and reveals where competing practices are being cited instead.
Audit Criteria & Checks
- Tracks citation weighting across WebMD, Healthgrades, Google Business, and State Medical Boards
- Identifies unindexed provider credentials, outdated clinic addresses, and missing NPI records
- Pinpoints competitor citation dominance across high-intent procedural inquiries
What is generative AI getting wrong — and where is it learning it?
Generative engines frequently hallucinate outdated practice details — quoting discontinued emergency hours, wrong suite numbers, or incorrect provider rosters. Sandra runs automated prompt interrogations across every clinic location to score accuracy field-by-field and trace inaccurate statements back to their originating source directory.
Audit Criteria & Checks
- Field-level audits: Practice Name, Facility Address, Phone Numbers, Operating Hours, Provider Rosters
- Traces contradictory information back to legacy citations or unverified map pins
- Generates structured Schema.org remediation payloads for rapid crawler correction
Is your practice website configured for AI search — or against it?
Traditional SEO tags are insufficient for generative engines. Sandra audits your public web pages against modern Generative Engine Optimization (GEO) standards, inspecting structured Physician and MedicalBusiness JSON-LD schemas, citation density, and entity taxonomy clarity.
Audit Criteria & Checks
- Validates MedicalBusiness, Physician, and MedicalProcedure schema completeness
- Audits semantic entity clarity so LLM answer aggregators extract facts with high confidence
- Flags unstructured clinical service pages that search engine crawlers fail to vectorize
Which generative AI web crawlers can reach your pages?
Not all AI systems obey identical crawler rules. Sandra audits your robots.txt, HTTP header responses, and server bot policies to confirm whether OpenAI (GPTBot), PerplexityBot, Anthropic (ClaudeBot), and Google-Extended have verified access to index your public practice content.
Audit Criteria & Checks
- Audit logs for GPTBot, PerplexityBot, ClaudeBot, and Google-Extended access
- Ensures public clinical authority pages are fully accessible for generative indexing
- Strict separation preventing private patient intake paths or portals from being crawled
AI Search runs in three continuous steps.
Diagnosis is step two: identify exactly what is broken so Sandra can remediate it with staff approval.
AI Search Insights
Track VisibilityTrack your practice Visibility Score, Share of Voice, and prompt-level rankings across every location.
Explore phase Step 02 (Current)AI Search Diagnosis
Active AuditIsolate citation discrepancies, hallucination sources, and crawler access issues field-by-field.
Explore phase Step 03Specialized Capability Execution
Remediate & ScaleSandra's specialized capabilities draft Schema updates, clinical FAQ pages, and authoritative blog entries with staff sign-off.
Explore phaseQuestions about AI Search Diagnosis
How does Sandra diagnose AI search performance without accessing patient records?
Sandra acts strictly as an external auditor querying public generative search models (ChatGPT, Perplexity, Gemini, Claude) with realistic patient prompts. No patient data, medical records, or EHR systems are involved — Sandra only evaluates publicly accessible practice citations, web schema, and directory profiles.
What causes ChatGPT or Perplexity to state incorrect clinic hours or services?
Generative models synthesize data from hundreds of public sources. If an outdated directory, an unverified map listing, or an archived web page lists old hours, the LLM may conflate the data and present inaccurate information. Sandra identifies the conflicting source so it can be corrected at the root.
Can multi-location practices run separate diagnoses for each clinic?
Yes. Every location is audited individually with localized geographical prompts, distinct facility addresses, and location-specific doctor rosters so you know exactly which clinics have citation gaps.
How does the diagnosis transition into automated fixes?
Once citation errors and content gaps are diagnosed, Sandra's specialized capabilities draft corrected structured data and educational web content, which practice coordinators can review and publish with one click.
Important Compliance & Liability Notice
Quadline AI Search Diagnosis and Sandra are marketing diagnostic, discovery, and entity-optimization tools engineered solely to evaluate public search presence. Sandra does not provide clinical care, medical advice, or diagnostic healthcare guidance. Diagnostic audits examine publicly accessible search engine responses, public directories, provider NPI registers, and public website metadata. Sandra never accesses, ingests, processes, or trains upon Protected Health Information (PHI) or Electronic Health Records (EHR). Human practice personnel retain exclusive authority over all published clinical claims, service menus, and schema updates. All diagnostic reporting operates within encrypted, audit-ready data pipelines.
Uncover what AI search engines are saying about your clinic.
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