CLIENT
Roto-Rooter Sarasota — AI SEO Audit
Plumbing & Drain Cleaning · Sarasota, FL
Audited April 2026Auditor Einstein + TommySkills 11 / 11
Overview

AI Search Visibility Scorecard

A composite assessment of Roto-Rooter Sarasota's presence across AI search systems — ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews — synthesized from 11 industry-standard audit methodologies.

Composite Visibility Score
47 / 100
Partially Visible — Structurally Fragile
RRF Fused Score
0.110
5.5× citation threshold (τ = 0.020) — fragile
Sub-Query Coverage
7 / 16
9 missing sub-queries · 56% blind
Brand Recall vs Recommend
3.25
Gap = "Known but not Preferred"
Critical Findings
The 5 most damaging discoveries from this audit
  1. 2.4★ Yelp rating is a VETO signal — review sentiment below 3★ functionally blocks AI recommendation regardless of other signals
  2. 9 of 16 sub-queries return ZERO presence — the brand is invisible across more than half of the AI fan-out
  3. Sarasota entity has near-zero unique signals — the model cannot differentiate the local franchise from the national template
  4. Schema dates broken — review dates rendered as "0009-09-20" and "Invalid date", invalidating rich snippet eligibility
  5. NO llms.txt + zero AI crawler strategy — every bot operates under the default User-agent: * rule with no curated guidance
Industry Intel
Findings from 19 deep-extraction interviews with AI search practitioners
Freshness Bias

Fresh content gets RAG priority. Retrieval pipelines are biased toward recent publish dates — stale pages decay out of citation sets within weeks.

The 2-Second Crawler Window

AI crawlers timeout at roughly 2 seconds if the page is not server-side rendered. Client-rendered React/Vue/Angular SPAs are silently dropped from training and retrieval.

Brand Mentions = New Backlinks

Unlinked brand mentions across the open web are now the dominant authority signal for LLMs — they read entity co-occurrence, not anchor text.

24-Hour Citation Manipulation

A newly published listicle can change ChatGPT's answer to a query within 24 hours. Citation sets are far more volatile than traditional SERPs.

Executive Summary
Synthesized from all 11 audit methodologies

Roto-Rooter Sarasota is partially visible to AI search systems but structurally fragile. The national brand carries strong entity recognition — Claude knows the founder, the founding year, and the business model — but the Sarasota-specific entity is essentially a ghost. AI systems treat it as "[national template] + [city name]" with zero unique local data. The domain clears the RRF citation threshold at 0.1096, but only because of three #1 rankings for emergency, drain, and 24-hour queries that account for 49% of the total fused score. Nine of sixteen sub-queries return zero presence. Local competitors like Bill The Plumber and Badger Bob's, with broader but shallower sub-query coverage, are likely getting cited more often despite never ranking #1 for anything. The fix is structural: dedicated service pages, pricing content, schema deployment, and review rehabilitation.

Skill-by-Skill Score Map
Each row = one audit methodology · color-coded red <50 / yellow 50–70 / green >70
Temperature Zero — T=0 Brand Perception
16.3 / 30
Brand Probing — Perceptual Market Share
42 / 100
Citation Mining — Query Coverage
5 / 11 queries
RRF Playbook — Fused Score Strength
0.1096 (target 0.24+)
Query Fan-Out — Sub-Query Coverage
5 / 14 (adjusted)
AI Visibility Audit — Composite Visibility
4.7 / 10
LLM Technical Audit — Crawler & Schema
6.4 / 10
Content Pipeline — AEO Article Quality
2,400 words pub-ready
Expert Interview — AI-Resistant Content
85% AI-proof
Keyword Universe — Cluster Map
8 clusters / 55+ kw
The Bottom Line
Strengths
  • National domain authority (rotorooter.com DA ~82)
  • #1 organic for emergency, drain, and 24-hour queries
  • Angular SSR — content visible to AI crawlers (TTFB 257ms)
  • 5 JSON-LD schema blocks already deployed
Critical Gaps
  • Sarasota entity is a ghost — zero unique local data in LLMs
  • Yelp 2.4★ / Trustpilot 1.7★ poisons every retrieval
  • Missing 4 dedicated service pages (water heater, leak, toilet, costs)
  • No llms.txt, no AI crawler strategy, broken review dates in schema
Biggest Opportunity
  • Pricing guide page — top AI Overview trigger, zero competition
  • Dedicated water heater & leak detection pages would 2.3× the RRF score
  • Florida-specific content (polybutylene, hard water) currently credited to competitors
  • Local entity layer (owner bio, neighborhoods, FL license #) closes the "franchise template" gap