Local SEO city landing pages — one dedicated page per city or neighbourhood a business serves — are the fastest lever for local search visibility. A plumber serving 40 towns wants a landing page per town, each optimised for “plumber in {town}” queries. Doing 40 by hand is painful and results are inconsistent. AI Content Generator produces them systematically. This tutorial covers the configuration that avoids the two failure modes: generic pages Google flags as thin, and near-duplicate pages Google flags as doorway spam.
The city-page problem
Templated city pages that just swap the town name are borderline doorway pages. Google devalues them. To rank, each page needs genuinely unique local information: neighbourhoods served, response time, local landmarks, licensing specifics, testimonials from the area. AI Content Generator can generate this — but only if you feed it real local data per city.
Step 1 — Prepare the location data sheet
Before configuring the campaign, build a CSV with one row per city containing:
- City name + region.
- Neighbourhoods you serve (3-5 named).
- Nearest landmark or well-known location.
- Typical response time from your base to that city.
- Any local licensing / certifications specific to the area.
- One local testimonial or case study snippet.
- Estimated jobs/month you handle there (rough).
This data sheet is 90% of the quality delta between spammy templated pages and pages that actually rank.
Step 2 — Configure the campaign
Create a dedicated “Local city pages” campaign in AI Content Generator. Configure:
- Content preset → Standard (city pages are informational + trust-building, not long tutorials).
- Main keywords → “{service} in {city}” (varies per row).
- SEO brief (titles) → “{Service} in {City}: {distinctive USP} — {business name}”.
- SEO brief (content) → “Local landing page. Cover: service overview, why we’re the choice for {city}, neighbourhoods served, response time, one local case study, service pricing signals, contact CTA.”
- Additional tone notes → “Warm, local, first-person plural (‘we serve…’). No aggressive sales language. Mention landmarks and neighbourhoods to demonstrate genuine local knowledge.”
- Content length → Medium (Min 800 / Max 1,400 words). Longer feels padded on local pages.
Step 3 — Run one city at a time with row-specific Extra AI instructions
The key: don’t batch-generate all 40 cities with the same instructions. For each city, paste the row-specific data into Extra AI instructions:
City: Ravenna Neighbourhoods: Marina di Ravenna, Punta Marina, Lido Adriano Landmark: Basilica di San Vitale (5 min from centre) Response time: 30 minutes from base Local details: Coastal humidity increases corrosion — we specialise in marine-grade sealing. Testimonial snippet: "Called Sunday morning, technician arrived by 11am" — L.G., Marina di Ravenna Jobs/month: ~35
The generated page will weave these facts naturally through the copy. The result reads as a real local business page, not a templated shell.
Step 4 — Enable LocalBusiness schema
Every city page needs LocalBusiness schema with:
- Business name.
- Address (headquarters or branch — pick per page).
- Service area = the specific city.
- Telephone.
- Aggregated rating (if you have reviews).
Rank Math and Yoast Local SEO addons handle this via per-page LocalBusiness settings. Fill in per city; the schema differentiates each page in Google’s eyes.
Step 5 — Interconnect the city pages
Add a “Cities we serve” hub page that links to all 40 city pages. Each city page links back to the hub and to 3-4 neighbouring cities (nearest by geography). This creates a coherent internal linking structure that signals to Google these pages belong to a real service network, not random doorway spam.
Step 6 — Add real local imagery when possible
DALL-E-generated covers are fine as fallback but if you have real photos from actual jobs in each city (with client permission), those are enormously more valuable. First-hand imagery is a strong E-E-A-T signal for local content.
Minimum: use real photos on top 10 cities by search volume. Fallback to AI-generated covers for lower-volume city pages.
Step 7 — Editorial review for local accuracy
The one review pass Local SEO pages must have: local accuracy check.
- Are neighbourhood names spelled correctly?
- Is the mentioned landmark actually in that city?
- Are distance/travel-time claims plausible?
- Are any invented details (fake awards, non-existent certifications) present?
An hour of local review on 40 pages catches everything a Google local reviewer might flag.
Rollout pacing
Don’t publish 40 pages on day one. Google’s spam heuristics look for sudden bursts of near-similar content. Instead: 2-3 cities per week over 3-4 months. Uses AI Content Generator’s calendar scheduling to space them out.
Add Google Search Console monitoring per city page. Watch impressions grow over 2-3 months before adding more cities.
You’re done
City landing pages the correct way: real local data sheet → per-city AI Content Generator generation → LocalBusiness schema → hub-and-spoke internal linking → real photos where possible → gradual rollout. The output is a network of genuinely useful local pages that rank sustainably, not a bulk-generated spam farm that gets deranked.