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SEO Believer Launch Plan

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🔑 Launch Plan

SEO Believer: Launch Plan

The working launch plan for SEO Believer. Living document.

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SEO Believer: 90-Day Execution Plan (post-critique, 2026-06-01)

This plan turns the revised strategy (see research/seobeliever-strategy-master.md and decisions/2026-05-31-bandwidth-and-case-study-zero.md) into sequenced action. It assumes Annette's real constraints: ~15 hrs/week of HER time (a deliberate lifestyle cap, not a capacity ceiling), multiplied by Claude Code (code-fixable work) and a proven offshore SEO team model (she took Bone Voyage to DR 62 this way), funded by ~$3,500/mo investment income + retirement runway.

0. Guiding principles (the rails)

  1. Serialize on Annette's attention, parallelize on delegated labor. One client relationship + one quality bar in her head at a time. Claude Code and offshore staff carry volume.
  2. Lead every published case with the Maps/organic volume win; layer the AI-citation win as the differentiator. AI search is the consideration-phase + differentiation play, NOT proof it out-converts Maps today. Be honest about that boundary in all client material.
  3. Test before pitching. No vertical or metro gets pursued until a whitespace/openness check backs it.
  4. Cite only verifiable numbers. Bone Voyage = DR 0.9 to 62 (Ahrefs-verified, growth-to-peak, zero paid ads). Never cite "0 to 69." Replace vendor GEO conversion stats with SEO Believer's own data as soon as it exists.
  5. Every claim is falsifiable and dated (the brand promise: measure, don't guess).

1. Verticals (evidence-ranked, FINAL)

Lead: (1) Dentistry implant-cost, Boulder , displace the single cost authority (Boulder Dental Center "$3,150"). (2) Orthodontics braces-cost, Boulder , same single-source shape (dentistsranked). (3) Med spas, Boulder , proof vertical. (4) HRT/TRT local in-person clinics, nationwide, franchise-light metros , Annette's personal-credential moat, portable; first target St. Louis (open + daughter on the ground). (5) Cosmetic surgery , opportunistic.

Dropped as closed/poor bets: PI law, wealth management, LASIK/cataract, fertility/IVF.

2. Phase A (Weeks 1-3): Foundation + Case Study Zero

A1. Rebuilding Seminars = Case Study Zero. Already-signed live client; relationship now public so a named before/after is publishable. Capture baseline NOW: GSC, Analytics, GBP, current AI-citation state (screenshot Rebuilding's absence/presence across ChatGPT/Claude/Perplexity/Gemini/Grok/AI Overviews for its money queries). Write dated 30/60/90-day predictions. This is the prediction-scoreboard's first entry.

A2. Build the RankGridEngine (the DataForSEO heat-map engine). See Section 6 for the technical spec. Default to Standard queue mode ($0.0006/point) for sweeps, Live ($0.002) for spot-checks. Cost-estimate before every run.

A3. Site spine on seobeliever.com. Ship llms.txt, llms-full.txt, full schema (Organization, Person, LocalBusiness, Service, FAQPage, Article, BreadcrumbList), robots.txt allowing AI crawlers, sitemap. Publish the Bone Voyage proof graphs (DR 0.9 to 62, keywords 0 to 31,310, referring domains 0 to 1,187) as the hero case study. Gate speculative pages behind a 30-day traffic signal.

3. Phase B (Weeks 3-7): First New Anchor + Engine in Production

B1. National HRT openness scan (once DataForSEO funded, ~$30-50). Score top-100 US metros by Gameday Men's Health franchise map-pack density (the automatable "lock" signal) + AI-citation openness. Overlay warm-access cities (St. Louis, DC, Boston, Miami, Greenville, Boulder). Output ranked first-target list.

B2. Land anchor #1 in St. Louis HRT (warm intro via daughter). Confirm openness with a fuller read first (current sample was thin). Run cusp + code-fixable filter. Offer: discounted/free pilot for named before/after + data access + review.

B3. Boulder dentistry implant-cost anchor. Build the dated, schema-rich implant-cost page play. This is the highest-probability single AI-citation win identified.

B4. Gate anchor #3 on anchor #1's 30-day signal. Do not open more concurrency until one loop closes.

4. Phase C (Weeks 6-12): Differentiation Engine

C1. YouTube channel on local SEO + GEO for service businesses (the real moat: compounding audience + authority, hard to copy, feeds AI citation via transcripts). Use repurpose-niche / podcast-ops skills + offshore editing. Sequence so it does not eat case-study hours.

C2. Public prediction scoreboard live on site (proof layer, not the anchor): dated baselines, written predictions, actuals posted including misses.

C3. First offshore hire once a closed pilot pipeline justifies it (hire against booked revenue, fund from runway if needed). Train on the repeatable manual SEO labor; keep GEO-specific work close until proceduralized.

5. Weekly cadence (within 15 hrs)

  • Annette's hours: sales calls, owner relationships, training, quality bar, strategic calls, YouTube on-camera. (The 1x work only she can do.)
  • Claude Code: schema, llms.txt, content drafting, heat-map runs, reporting, scoreboard updates. (10x work.)
  • Offshore (when funded): citations, directory submissions, outreach, content production. (Volume work.)

6. RankGridEngine technical spec

Purpose: business-agnostic local rank-grid heat-map engine; point at any business+keywords+city, get a heat map of where it ranks across a geographic grid. Sellable internal capability ("we built our own rank-grid engine").

Stack: Python. Modules already scaffolded in RankGridEngine/: creds.py (central-first credential load), grid.py (NxN grid generation, km-to-degrees), client.py (DataForSEO Maps SERP client, live + standard modes, batching, retry).

Pipeline:

  1. Grid: center lat/lng + radius (drive-time to km) -> NxN grid (start 7x7, scale to 11x11), fixed zoom 16-17 across sweeps for comparability.
  2. Query: task array (one per point per keyword), POST batches up to 100 to Maps SERP API. Standard queue for sweeps, Live for spot-checks. Respect 2,000 calls/min, retry with backoff.
  3. Parse: per grid point, scan items[] for target business (place_id match, fuzzy name+address fallback), record rank_absolute or 21+/not-found sentinel. Store rows (business, keyword, lat, lng, rank) to SQLite/CSV (Cloudflare D1 optional later).
  4. Render: folium HeatMap or colored CircleMarkers (green 1-3, yellow 4-10, red 11+/absent) -> drops into a hub page. Static PNG via matplotlib/plotly for reports.
  5. Cost guard: estimate (#points x #keywords x mode-rate) and print BEFORE firing; refuse runs over a configurable cap.

Franchise-density application: for the HRT national scan, run a light grid per metro for the core HRT keywords, count distinct Gameday Men's Health locations appearing in the map pack -> openness score.

7. Success metrics (90-day)

  • SEO Believer cited by name in >=1 AI engine for "SEO consultant Boulder" / "AI search optimization Colorado."
  • GBP in local 3-pack for >=3 target queries (geo-grid verified).
  • Rebuilding Seminars case study published with dated predictions vs actuals.
  • >=1 new anchor (St. Louis HRT or Boulder dentistry) with a published before/after.
  • RankGridEngine in production, used for >=2 client baselines.
  • Bone Voyage proof graphs + site spine + scoreboard live.
  • DR climbing past 15, >=25 referring domains.

8. Known risks / open questions

  • National HRT vs Boulder-local attention split: three lead verticals are Boulder-local, HRT is national. Does HRT run parallel or after a local proof? (Leaning: prove St. Louis HRT in parallel because warm-access lowers its cost, but it competes for the same 15 hrs.)
  • DataForSEO balance must be funded before the national scan; cost guard mitigates overspend.
  • Thin whitespace samples (St. Louis, Boston = 1 query each) need confirmation before pitching.
  • Solo-to-team transition timing: hire against booked revenue, not hope.
  • GEO not yet proceduralized for offshore delegation; keep close until repeatable.
  • AI-citation magnitude unproven: direction solid, conversion multiples are vendor-sourced; replace with own data ASAP.

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