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AI Ranking Accelerator · Confidential
AI Ranking Accelerator Cohort 02
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Session Recap № 02
After-action · Apr 28, 2026 · 85 min · Google Meet

Session Two.

Strategy reset. Before scaling industry × suburb across the country, we prove the model on four industry hubs first. Tight clusters, real schema, real PAA, real case studies, real internal links.

StatusComplete
Operative
Gayan Perera
Also attending
Charindu (Sri Lanka)
Duration
85 minutes
Recording
I.

The TL;DR.

What actually happened

After-action report

We pivoted off the broad 15-page sprint and committed to a four-industry proof-of-concept before scaling the matrix.

Gayan walked the competitor analysis output (OptWeb, Shout, Clearwater) and we converted it into an HTML dashboard live using the front-end design skill. Read-out: Shout owns Melbourne head terms via age + backlink authority; PMGS has a real backlink-quality problem (volume looks healthy, ranking doesn't match → likely PBN penalty residue from the 2020 era).

Audited the live PMGS site. Some industry pages indexed (healthcare, e-commerce), some not (automotive, childcare). Old programmatic suburb pages still echoing in GSC (Bendigo AdWords, Ballarat AdWords) because Google's index still holds them. New site narrowed scope to ~20 suburbs around the Epping office — right call, but pages aren't getting traction yet because content is too generic and not differentiated enough page-to-page.

Ran a content-similarity audit across the four candidate industry pages. Healthcare is the most differentiated; the others share repeated copy in "How we build your strategy" and FAQ blocks. FAQ content was Claude-generated without real PAA grounding — that's the fix we're making.

Decision: park the suburb expansion. Build one cluster per industry first — hub page + case study + 3 supporting blogs + LinkedIn + video — across four industries (healthcare, automotive, childcare, e-commerce). Measure GSC delta over 2–3 weeks. If it moves, replicate across the rest. If it doesn't, we triage before burning effort on 100+ industry pages.

II.

The four industries.

Locked · case-study backed · the test set
№ 01

Healthcare

GP / Medical centre

Live medical-centre paid campaign generating leads — case study to be created. Healthcare hub already on site, most differentiated content of the four. Anchor schema: Medical Practice + YMYL signals.

Page indexed
№ 02

Automotive

Used-car dealership

Existing case study (used-car salesperson, "card yard" client). Two local KWs into top 9, branding clicks +17. Page exists but not yet indexed — push for index after rebuild.

Not indexed
№ 03

Childcare

Early education · 3 branches

Multi-location early-learning client as the case study. Lives under "industries / retail-hospitality-education-technology" — sub-bucket needs surfacing as its own clean industry hub. Multi-location schema candidate.

Not indexed
№ 04

E-commerce

Niche product (pH meters)

Currently bundled with retail — split out into its own hub. Different intent, different schema (Product / Online Store), different funnel. Needs new dedicated industry page built.

Hub indexed · split needed
III.

The cluster per industry.

EEAT in one diagram

Hub page (industry)

Authority · Trust
  • H1 / H2 audit: tighten and trim wordy headings
  • Service schema + LocalBusiness + industry-specific schema (Medical Practice, AutoDealer, ChildCare, OnlineStore)
  • Industry-specific copy block (e.g. YMYL framing for healthcare)
  • FAQs grounded in real PAA + fan-out queries (not Claude-invented)
  • LSI keywords woven in (LSI Graph)
  • Internal-link out to case study + 3 supporting blogs

Case study (proof)

Experience
  • One headline outcome number per case study (e.g. "5 → 10 leads/month")
  • Problem → strategy → results structure
  • 5-min video walk-through (slides via Claude HTML, talk over them)
  • Healthcare case study to be created from the live medical-centre campaign
  • LinkedIn post per case study, links back to the post

3 supporting blogs

Expertise
  • Each blog answers one real fan-out / PAA query for the industry
  • Internal-link up to the hub + sideways to the case study
  • More context fed at write-time (data, services, examples) → not just instructions
  • Charindu authoring; one watch-this video on context windows from Nico

The link graph

How it ties together
  • Hub ↔ case study (both directions)
  • Hub ↔ blog 1, blog 2, blog 3 (both directions)
  • Each blog → case study (one direction)
  • LinkedIn post → case study (external authority signal)
  • Submit hub for re-indexing once changes ship
IV.

What goes on every hub.

The page-rebuild checklist
01

Schema layer

Service + LocalBusiness + industry-specific schema. Healthcare = MedicalBusiness/MedicalClinic. Automotive = AutoDealer. Childcare = ChildCare/Preschool. E-commerce = OnlineStore. Plus FAQ + AggregateRating where review data exists. Validate every page in Schema.org validator.

02

Content layer

Industry-specific differentiator paragraph (no generic agency copy). Healthcare hits YMYL: compliance, patient privacy, AHPRA awareness. Automotive: dealership stock + finance pages context. Childcare: multi-location intent. Each hub ≥ 50% unique vs the others.

03

FAQ layer

Pull questions from real PAA + AI Overview fan-outs (not invented by Claude). Weave LSI keywords from LSI Graph. FAQs internal-link out to a supporting blog that answers the question in depth.

V.

Action register.

Due before Session 03 · week of May 05

Gayan / Charindu

Operative · PMGS
  • Baseline GSC numbers (impressions, clicks, avg position) for the four hub URLs — screenshot todayby May 01
  • Add proper schema to all four industry hubs (service + local + industry-specific + FAQ)by May 04
  • Rewrite hub content for differentiation: industry-specific section, real PAA-driven FAQs, LSI keywordsby May 06
  • Build dedicated e-commerce hub (split out from retail)by May 06
  • Create healthcare case study from the live GP-clinic campaignby May 04
  • Record 5-min case-study video for each of the four (slides via Claude, screen-share + voice)by May 09
  • Commission 3 supporting blogs per industry (12 total). Each: real PAA, internal-link clusterby May 13
  • Update case-study pages to show only the case studies relevant to each industryby May 06
  • Disavow toxic backlinks at the domain level (PBN era cleanup)by May 09
  • Resubmit each rebuilt hub to GSC for re-indexingafter rebuild
  • LinkedIn post per case study linking back to the case-study pageby May 11
  • Charindu: watch Nico's "context windows for content" tutorial when it ships FridayMay 02+
  • GMB: build CSV-driven scheduled run for ~100 existing blog posts (Pabbly time trigger + "last-published" flag column)by May 13

Nico

Coach · AI Ranking
  • Send the action-item email + this recap linktoday
  • Drop the four-industry hub-rebuild checklist into a Google Sheet (via gws-cli)by May 02
  • Release "context for content" walkthrough video (Charindu's prompts get more context)by May 02
  • DTF Miami industry × suburb matrix as the reference example for later expansionby May 04
  • Will (financial-advisor case study) example sent through as a video referenceby May 02
  • Releasing Friday: review-card business-card download — share with GayanMay 02
  • Backlink agency intro (Alexander) — held until content cycle proves move-the-needlelater
VI.

Diagnoses & calls.

What we found / what we decided
Diagnosis

Backlink profile vs domain ranking mismatch

Volume of referring domains is healthy; ranking is not. Likely residue from the 2020-era PBN campaigns. Action: domain-level disavow on the iffy ones via Ahrefs export. Cut the infected finger to save the hand.

Diagnosis

Programmatic SEO ghosts in GSC

Old suburb pages (Bendigo AdWords, Ballarat AdWords) still appearing in queries. They're not on the new site, but Google's index hasn't fully cleared. Don't recreate them. Let them decay; focus the new effort on the four-industry test.

Decision

Retail and e-commerce do not belong together

Different intent, different funnel, different schema. Splitting e-commerce into its own hub. Retail can stay in the bundled hub for now until we know whether to invest there.

Decision

Case-study card on industry pages

Hub pages currently show all case studies regardless of industry. Filter so each hub only shows the case studies relevant to that industry. Tighter signal to user + Google.

Process

Charindu's content prompt → context

Existing system instruction is solid, but prompts are missing context. Before each page, feed Claude: real PAA from SERP, fan-out queries, LSI keywords, the case study, the service definition. Walkthrough video coming Friday.

Process

Suburb expansion deferred

The 20-suburb matrix isn't dead — it's paused. Once a hub cluster moves the needle, we replicate the cluster pattern for /seo-for-{industry}/{suburb}/. Quality first, then scale.

VII.

How we'll measure.

2–3 week proof window

The signal

Move the four hubs, then scale. If the cluster pattern works, every other industry gets the same treatment.

Per hub URL, baseline today and re-check at +14d and +21d after the rebuild ships:

→ Impressions in GSC (search appearances)
→ Clicks (intent capture)
→ Average position across the page's keyword cluster (lower = better)
→ Indexation status of the hub + the 3 supporting blogs
→ Branded vs non-branded query mix shift

If 3 of 4 hubs show meaningful improvement, the cluster pattern is validated and we apply it to the rest. If not, we triage before spending on backlinks (Alexander intro stays parked).

VIII.

Intel drop.

Links from the session

The vault.

Fathom recording, transcript, competitor HTML dashboard, hub-rebuild checklist (when ready).

fathom.video/share/tVSHMrmzr62sCxpaQAkAa1DDxW4-RF7d
Open Recording →
IX.

Next rendezvous.

Session 03 · Week of May 05