AI Agent Marketing
Bot detection, content variants, per-model optimization, agent trust scoring
Agent Trust Score
6.2/10
Composite of real signals below
FAQ Schema
Yes
FAQPage structured data present
Bot Detection
Not Deployed
Cloudflare Worker required
Schema Types
36
JSON-LD types detected live
Offer Level
Conditional
Threshold: 6.6/10
Agent Trust Assessment
Scoring factors that determine how AI agents perceive and recommend this firm
| Factor | Score (0-10) | Notes |
|---|---|---|
| Citation volume | 10/10 | 1680 backlinks from 549 referring domains (DR 239). |
| Schema completeness | 10/10 | 36 JSON-LD types incl. AggregateRating, Answer, Attorney, BreadcrumbList, City. |
| Entity authority | 10/10 | sameAs present; Person schema present. No Wikipedia/Wikidata confirmed. |
| Review signal | 0/10 | 0 stars / 0 Google reviews. |
| Content authority | 1/10 | 0 ranked keywords across Google. |
6.6/10CONDITIONAL
Commercial offers acceptable in context. Hard-sell CTAs should be softened in AI variants. Score of 7.5+ required to unlock full commercial offer capability across all models.
Content Variants
Three AI-optimized content formats for model consumption
Markdown Variant
PASSNative LLM format. AI models are trained on markdown -- this variant is optimized for direct consumption in model context windows.
Stripped HTML Variant
PASSClean HTML with navigation and footer chrome removed. Maximizes content-to-noise ratio for crawlers and RAG pipelines.
Schema-Heavy Variant
PASSMaximum structured data with enriched JSON-LD. Every claim is machine-readable. Optimized for knowledge graph ingestion.
Bot Detection Status
Identify and serve AI agents optimized content variants automatically
FAILNot Deployed
Domain is not on Cloudflare. Worker code is ready at
cloudflare-worker.js. Deployment requires DNS migration to Cloudflare (nameserver change, estimated 15-30 minutes).Detection signals (post-deployment):
UA string patternIP/ASN lookupTLS fingerprintCloudflare bot score
Per-Model Baseline
Current citation score estimates across the four primary AI models
| Model | Citation Score | Notes |
|---|---|---|
| Claude | 2/3 | Entity recognized, appears in web search results |
| ChatGPT | 1-2/3 | Estimated, appears in Google index |
| Perplexity | 2/3 | Search-native, indexes Google SERPs |
| Gemini | 1-2/3 | Google product, likely surfaces from index |
Scores are estimates based on Google index presence and known model training behaviors. Run live model queries to verify.
90-Day AI Marketing Roadmap
Priority sequence to reach Agent Trust Score 7.5+
- Close 5 schema gaps (Attorney Person, Wikidata, llms.txt, robots.txt AI allow, Review schema)
- Reach agent trust score 7.5+ to unlock full commercial offers across all models
- Deploy Cloudflare Worker for bot detection and automated content variant routing (pending DNS migration)
- Run weekly 4-model query tests and log citations to track improvement over time
- Monthly re-scoring and content variant performance review
Priority Gaps to Close
The 5 fixes with the highest trust score impact
| Gap | Priority |
|---|---|
| Attorney Person schema (Julie Anderson, Chad Hemmat) | P1 |
| Wikidata Q-number for firm and founding attorneys | P1 |
| /llms.txt manifest at domain root | P1 |
| robots.txt AI bot allow rules (GPTBot, ClaudeBot, etc.) | P2 |
| Review schema with structured rating data | P2 |