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All Status Proposed Approved Running Evaluation Due Completed Rejected | All Clients dk-law dk-law, nordanyan nordanyan rgdm uncle-kam

REJECTED LOW RISK dk-law, nordanyan intelligence 2026-04-15

Source Signal (market signals) @neilpatel

LLM appearance/sentiment tracking becoming table stakes for enterprises

Companies are surveying customers at checkout to track how they and competitors appear in LLM outputs and sentiment perception. This reflects growing enterprise anxiety about AI model training data and brand positioning in generative search results.

RGDM relevance: dk-law and nordanyan operate in competitive, high-stakes niches (personal injury, workers' comp) where brand perception directly impacts lead quality. As legal queries increasingly go to ChatGPT, Gemini, and Claude before Google, law firms need visibility into how they're represented in LLM outputs—both for brand protection and competitive advantage.

Original action item: Run a prompt audit for dk-law and nordanyan: test queries like 'best personal injury lawyer near me' and 'workers compensation attorney' in ChatGPT, Claude, and Gemini to see if/how clients appear and how competitors are ranked. Document sentiment and positioning. Recommend tracking quarterly.

Law firms that track their LLM appearance and sentiment quarterly will identify positioning gaps vs. competitors early enough to adjust content/PR strategy, preventing brand perception loss in generative search before it impacts lead quality. Initial audit will reveal whether dk-law and nordanyan are mentioned in LLM outputs for their core practice areas, and if so, in what context (positive/neutral/negative sentiment).

Experiment Plan

{'step': 1, 'description': 'Create a manual LLM audit template in Mission Control. Build a simple form page (HTMX + FastAPI) to log: query, LLM model (ChatGPT/Claude/Gemini), client mention (yes/no), position in response, sentiment (positive/neutral/negative), competitor mentions, and notes. This becomes the tracking system for quarterly audits.'}
{'step': 2, 'description': "Run initial prompt audit manually (not automated yet—too risky for accuracy). Test 8 core queries: 'best personal injury lawyer near me', 'personal injury attorney [city]', 'workers compensation attorney', 'workers comp lawyer near me', 'how to hire a personal injury lawyer', 'workers compensation claims help', '[firm name] reviews', '[competitor name] reviews'. Document each response in the Mission Control form for both dk-law and nordanyan."}
{'step': 3, 'description': 'Analyze results and document positioning: for each client, calculate mention rate (% of queries where mentioned), sentiment score (scale 1-5), competitor rank (how many competitors mentioned before/after client), and context quality (is mention in recommendation section, disclaimer, neutral reference, or negative context?). Store findings in Mission Control.'}
{'step': 4, 'description': 'Create a quarterly tracking job on launchd (15-min cron, low CPU overhead) that emails Rudy and relevant client stakeholders a summary of LLM mention trends month-over-month. This ensures the audit becomes a repeatable signal, not a one-off project.'}
{'step': 5, 'description': 'Recommend content/PR actions based on findings: if a client is undermentioned, propose blog content targeting LLM training data recency (recent case wins, client testimonials). If sentiment is negative or neutral, recommend outreach/review collection. If competitors dominate, flag for competitive content analysis.'}

Pass: ['Audit completed and logged in Mission Control for both dk-law and nordanyan within 7 days', 'Clear positioning baseline established: mention rate, sentiment, competitor rank for each client documented', "At least 1 actionable gap identified (e.g., 'dk-law not mentioned in personal injury queries; top 3 competitors all mentioned') that directly correlates to content/PR opportunity", 'Quarterly tracking job deployed and first auto-report delivered on schedule']

Fail: ['Audit not completed within 7 days → reassign to Rudy; mark as lower priority', "Results too ambiguous to act on (e.g., 'LLMs mention all firms equally') → conclude that LLM appearance tracking is not a differentiation lever for these clients; pause quarterly tracking and pivot to content quality metrics instead", 'Quarterly tracking job fails to deliver reports 2+ consecutive months → revert to manual quarterly audit or evaluate alternative monitoring tools (e.g., Brandwatch, Moz, Semrush brand tracking if budget permits)']

Est. effort: 6h

AUTO-SPAM PURGE 2026-04-24: 0% OF 68 EXPERIMENTS EVER RAN. SOURCE CRON (X-INTELLIGENCE) STOPPED 2026-04-23. SEE MEMORY/EXPERIMENTS-PURGE-2026-04-24.MD.