Prioritized Remediation Roadmap
22 actions across 4 tiers — from 4.7/10 composite to 8.0/10 in 3 months
Tier 1 — Immediate
Weeks 1-2robots.txt audit — unblock AI crawlers
Critical· 15 minVerify GPTBot, ClaudeBot, PerplexityBot, Google-Extended are NOT blocked. Pass/fail — if blocked, nothing else matters.
SSR check — confirm pre-rendered HTML for bots
Critical· 1 hourVerify Sarasota page serves pre-rendered HTML, not JS-only. Angular SSR confirmed but audit needed for all service pages.
Optimize /sarasota/ main page for head term
Critical· 4 hoursAdd H1 "Plumbing Services in Sarasota FL", comprehensive service list, AggregateRating schema, knowsAbout schema. Currently ranking ZERO for the head term.
Deploy full schema stack on /sarasota/
Critical· 2 hoursPlumber type + AggregateRating + knowsAbout + sameAs + hasCredential for FL license. Fix stale 2023 review dates.
Add declarative answer blocks (150 words)
High· 1 hourFirst 150 words must directly answer "Who is the best plumber in Sarasota FL?" with specific facts — AI Overview extraction target.
Create llms.txt at domain root
High· 1 hourMachine-readable AI discovery file listing key pages, services, NAP, differentiators.
Tier 2 — Foundation
Weeks 2-4Create /sarasota/water-heater-repair/
Critical· 1 dayFill highest-impact missing sub-query. 390/mo volume. Currently ZERO ranking.
Create /sarasota/leak-detection/
Critical· 1 daySecond missing sub-query. 320/mo volume. Specialists cited instead of RR.
Create /sarasota/plumbing-costs/
Critical· 1 dayCost queries are top AI citation triggers. Include specific ranges, factors, Sarasota market rates.
Create /sarasota/toilet-repair/
High· 1 dayBroaden sub-query coverage. 170/mo volume.
FAQPage schema on every service page
High· 4 hoursQuestions matching PAA patterns for each service. Direct AI Overview extraction target.
Google review generation campaign
Critical· OngoingCombat 2.4★ Yelp headwind. Google carries higher AI weight. Target 4.5+ Google rating in 90 days.
Tier 3 — Authority Building
Months 2-3Local case studies (3-5)
High· 1 weekBuild E-E-A-T experience signals for AI training data. Include Sarasota addresses, outcomes, before/after.
Author entity for lead technician
Medium· 2 hoursPerson schema with credentials, experience, certifications. Local staff entity depth.
Neighborhood service area pages
High· 1 weekSiesta Key, Gulf Gate, Lakewood Ranch, Palmer Ranch, Bee Ridge. Capture geo-modified sub-queries.
Community involvement content
Medium· OngoingSponsorships, local events, charity work — entity co-occurrence signals.
Wikidata entry for Sarasota location
Medium· 2 hoursSeparate entry from national brand with sameAs linking. Direct training data signal.
Third-party citation building
High· OngoingSarasota Chamber, local news, Sarasota Herald-Tribune, SRQ Magazine, industry publications.
Florida-specific content (polybutylene, limestone)
High· 1 weekCompetitors get Florida expertise credit Roto-Rooter does not. Publish 5-7 FL-specific technical posts.
Tier 4 — Monitoring
OngoingRe-run Temperature Zero probes
Medium· MonthlyCross-model: ChatGPT, Claude, Gemini, Perplexity. Track specificity movement from Generic → Category-aware → Specific.
Re-run RRF sub-query rankings
Medium· Bi-weeklyTarget: 15/16 sub-queries ranking within 3 months.
Monitor AI bot crawl activity
High· WeeklyRequires server log access — coordinate with corporate IT.
30-Day Sprint Plan
Grouped by cadence with projected impact per fix
- • Fix broken schema dates (invalidates all rich snippets)
- • Add llms.txt with content priorities
- • Schema sameAs Wikipedia entity linking
- • Strip code comments from templates
- • Fill 9 missing sub-query gaps → projected 2.3x RRF score increase
- • Publish service pages: water heater, leak detection, sewer, toilet
- • Pitch listicle placements → 24-hr ChatGPT citation vector
- • Compress HTML payload from 514KB → <80KB
- • Build local entity: owner bio, neighborhood pages, unique photos
- • Review velocity program — climb out of 2.4★ veto zone
- • Get into HomeGuide, Today's Homeowner, Nextdoor, Houzz
- • Expert interview content series (human moat vs AI slop)
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