LLMs Optimization Report • Non-Profit (Sample)

GlobalHealth Access — LLMs Visibility & Accuracy Readout by OneMind Strata

Integrated findings from interviews, AI engines, and benchmark data. Produced with OneMind Strata confidential frameworks (sample data for demonstration).

Overall AI Visibility
0%
+11 pts vs. prior 30d
Citation Quality (idx)
0
↑ authority & recency
Accuracy Score
0.00
−28% hallucination
Executive Summary

LLMs Performance Overview

GHA appears in a majority of health-program and donation-intent queries across ChatGPT, Claude, and Perplexity; Gemini and AI Overviews trail due to uneven schema and fewer proof points.

  • Strengths: credible program pages, annual impact report, board governance transparency.
  • Gaps: regional FAQs, program cost benchmarks, localization of success metrics.

Key Metrics Summary

MetricValueNote
Mention frequency58%Across 120 test prompts
Citation quality76↑ official docs, ↓ third-party blogs
Accuracy0.71Improving; errors mainly on legacy program names

Strategic Recommendations (Top 5)

  1. Canonize program names/IDs across all properties.
  2. Publish 3 proof packs (clinic outcomes, cost per beneficiary, governance score).
  3. Ship FAQ + How-it-works schema on program, donation, and transparency pages.
  4. Localize top pages (ES/FR) with hreflang and region-specific stats.
  5. Add explicit “Not provided / Limitations” blocks to reduce AI gaps.

ROI & Impact Assessment

  • +12–18% visibility across donation & program queries (90d).
  • 2.1× faster donor Q&A handling via accurate AI references.
  • −30–40% misinformation on program names and coverage areas.
Current State Analysis

AI Presence Audit

Presence (%) Accuracy

Query Coverage & Competitive Positioning

GHA Peer A Peer B

Citation Quality Review

  • 76 index: majority of citations now point to /programs, /impact, /governance.
  • 23% still route to media/blog summaries; add canonical links & updated dates.
Content Performance Evaluation

High-Performing Content

AssetAI Citations /100Why it works
Annual Impact Report 20242.8Clear stats, executive quotes, timestamps
Community Clinics page2.3FAQ schema + outcomes per $100 donated
Governance & Board1.7Transparency signals; policy links

Content Gaps & Structured Data

  • Under-cited: Donation Fees, Program Cost Benchmarks, Volunteer Training.
  • Schema: add HowTo, FAQ, NGO attributes; ensure JSON-LD parity on ES/FR.
  • Authority: add peer-review links for health outcomes; cite WHO/UNICEF benchmarks.
Technical Infrastructure Review

Website & Semantic SEO

  • Optimization -friendly markup on /programs and /impact; extend to /donate and /volunteer.
  • Topic graph: strong “primary care” & “maternal health”; weak “health financing”.

Citation Network & Multi-Platform

  • New backlinks from DevPolicy & Global Health Now; add rel=canonical on mirrored posts.
  • Ensure consistent org profile (address, EIN, board) across website, Medium, LinkedIn, Charity Navigator.
AI Engine-Specific Findings

Platform Breakdown (sample)

EngineVisibilityAccuracyNotes
ChatGPT63%0.78Strong citations to /impact
Claude60%0.75Good exec quote pull-through
Gemini52%0.66Over-weights media posts
Perplexity61%0.72Diverse sources; keep recency fresh
AI Overviews49%0.63Locale variability; add hreflang
Grok55%0.68News-driven; lacks proof packs

Query Type Performance

Program Donate Impact Governance

Context & Positioning

Engines frame GHA as a community-health implementer with strong maternal-health outcomes and transparent governance; expand positioning to include health financing efficiency and training scale.

Competitive Intelligence

Market Share in AI Responses

GHA Peer A Peer B Others

Best Practices & Risks

  • Peers: concise program one-liners, dated stats, and PDF alt-HTML snippets for crawlability.
  • Opportunity: donor-intent FAQs (fees, impact per $) seldom cited—win quick trust.
  • Threat: brand aliasing in older media—add redirects + canonical to preferred names.
Implementation Roadmap

Priority Action Items

HorizonActionOwnerSuccess Metric
Now (0–30d)Program ID canon + FAQ schemaWeb / Comms+8 pts visibility
Next (30–90d)3 proof packs + ES/FR localizationImpact / Comms+0.06 accuracy
Later (90–180d)Health financing explainer seriesPrograms2× citations to finance pages

Resources, Timeline & KPIs

  • Resources: 1 FTE content strategist, 0.5 FTE web dev, analyst support.
  • Timeline: phased sprints aligned to report sections.
  • KPIs: visibility, accuracy, citation authority, donor-intent CTR.
Appendices

Methodology Documentation

  • Interview protocol (executive, field ops, donor relations); coding rubric & inter-rater notes.
  • AI engine setup: prompt battery (120 queries), sampling cadence, validation workflow.
  • Benchmark sources: NGO databases, filings, third-party health outcome studies.

Templates & Monitoring

  • Content checklists: program pages, FAQ, proof packs, governance.
  • Monitoring: weekly AEO crawl, schema diff, citation drift alerts, accuracy spot checks.