gsc-seo-page

name	gsc-seo-page
description	Generate SEO pages from Google Search Console queries, and onboard new products into the automated GSC/SERP pipeline. Delegates page generation to ~/social-autoposter/seo/generate_page.py and covers end-to-end product onboarding: GSC domain registration via API, config.json wiring, launchd activation, backfill, and verification.
user_invocable	true

GSC SEO Page

Two modes:

1. Generate a page for a query that GSC is already showing impressions for (the common case).
2. Onboard a new product into the GSC + SERP pipelines so the crons start producing pages for a new domain automatically.

How It Works

All page generation goes through a single canonical script:

~/social-autoposter/seo/generate_page.py

This script handles everything: SERP research, dynamic component discovery from @seo/components, theme detection, page writing, and build verification. Do NOT write pages manually or use inline TSX patterns; always run the generator.

Usage

Manual (single page)

cd ~/social-autoposter
python3 seo/generate_page.py \
  --product fazm \
  --keyword "your target query" \
  --slug "your-target-query" \
  --trigger manual

The generator will:

1. Research the SERP for the keyword
2. Discover available components from @seo/components
3. Read the target repo's theme (dark/light) from its CSS
4. Write a rich page with animated components, Magic UI elements, comparison tables, FAQ sections, etc.
5. Build and verify locally
6. Commit and push to main
7. Wait for deployment and verify HTTP 200

Pipeline (automated, via cron)

The cron pipeline (seo/run_gsc_pipeline.sh) handles:

1. Fetching queries from GSC via seo/fetch_gsc_queries.py
2. Picking the highest-impression pending query from Postgres (gsc_queries table)
3. Marking it in_progress
4. Calling generate_page.py --trigger gsc
5. Updating Postgres with the result

Cron wrappers: seo/cron_gsc.sh (GSC queries) and seo/cron_seo.sh (SERP discovery).

Supported products

All products in ~/social-autoposter/config.json: Fazm, Assrt, PieLine, Cyrano, etc.

Onboarding a New Product

Use this section when a new consumer site (already scaffolded with the setup-client-website skill and deployed at https://DOMAIN) needs to be plugged into the automated page-generation pipeline. Five steps: register the domain in GSC via API, add the product to config.json, activate the launchd jobs, backfill, verify.

What this unlocks once wired:

• seo/cron_gsc.sh (every 10 min): pulls GSC queries for the domain, picks the highest-impression pending query, writes one guide page per run
• seo/cron_seo.sh (every 10 min): DataForSEO SERP discovery that proposes net-new keywords before they show in GSC
• Both write TSX pages into ~/CLIENT-website/src/app/(main)/t/{slug}/page.tsx, build locally, commit, push to main, and wait for deploy

Prerequisites:

• Site deployed at https://DOMAIN with /t/ scaffolding and sitemap accessible at https://DOMAIN/sitemap.xml (run the setup-client-website skill first)

• ~/social-autoposter/.env defines these keys (the skill reads them at runtime; set once per workstation):

  GSC_SA_KEY_PATH=~/social-autoposter/seo/credentials/<sa-key>.json
  GSC_SA_EMAIL=<service-account>@<gcp-project>.iam.gserviceaccount.com
  GSC_GCP_PROJECT=<gcp-project-id>
  GSC_ADMIN_EMAIL=<email-that-owns-GCP-project>
  CLOUD_DNS_PROJECT=<gcloud-dns-project>   # only needed for Cloud DNS path; skip for Vercel DNS
  DATABASE_URL=postgres://...              # Neon, already set by social-autoposter init
  

• The SA key file at $GSC_SA_KEY_PATH exists and has webmasters + siteverification scopes authorized

• The client repo is cloned at the path you will write into landing_pages.repo

Source the env before running any of the Python snippets below:

set -a && source ~/social-autoposter/.env && set +a

Step 1. Register the Domain in Google Search Console (API path, no browser)

The service account can register and verify a domain property end-to-end via the Site Verification API plus the Search Console API. No browser UI, no manual clicking. Once this completes, the SA is siteOwner on the property and fetch_gsc_queries.py can pull impression data immediately.

1a. Enable the Site Verification API in the SA's project (once per project; skip if already enabled on $GSC_GCP_PROJECT):

gcloud services enable siteverification.googleapis.com \
  --project="$GSC_GCP_PROJECT" \
  --account="$GSC_ADMIN_EMAIL"

The --account must be an owner of $GSC_GCP_PROJECT, not any gcloud-authenticated email.

1b. Get the DNS TXT verification token. Set DOMAIN to the bare domain (e.g. clientdomain.com, not https://clientdomain.com):

export DOMAIN=clientdomain.com

python3 -c "
import os
from google.oauth2 import service_account
from googleapiclient.discovery import build
creds = service_account.Credentials.from_service_account_file(
    os.path.expanduser(os.environ['GSC_SA_KEY_PATH']),
    scopes=['https://www.googleapis.com/auth/siteverification'],
)
sv = build('siteVerification', 'v1', credentials=creds)
res = sv.webResource().getToken(body={
    'site': {'type': 'INET_DOMAIN', 'identifier': os.environ['DOMAIN']},
    'verificationMethod': 'DNS_TXT',
}).execute()
print(res['token'])
"

1c. Add the TXT record.

For domains on Vercel DNS (personal-account Vercel domains):

vercel dns add "$DOMAIN" @ TXT "google-site-verification=TOKEN"

Do not pass --scope for personal-account domains. Passing a personal-scope flag fails with "You cannot set your Personal Account as the scope." Use --scope <team-slug> only for team-owned domains.

For domains on Google Cloud DNS (requires CLOUD_DNS_PROJECT in env):

gcloud dns record-sets transaction start --zone=ZONE_NAME --project="$CLOUD_DNS_PROJECT"
gcloud dns record-sets transaction add '"google-site-verification=TOKEN"' \
  --name="${DOMAIN}." --ttl=300 --type=TXT --zone=ZONE_NAME --project="$CLOUD_DNS_PROJECT"
gcloud dns record-sets transaction execute --zone=ZONE_NAME --project="$CLOUD_DNS_PROJECT"

1d. Wait ~15 seconds for propagation, then confirm:

dig +short TXT "$DOMAIN" @8.8.8.8 | grep google-site-verification

If nothing shows, wait 30 seconds and retry.

1e. Complete verification, add to Search Console, and submit the sitemap in one shot:

python3 -c "
import os
from google.oauth2 import service_account
from googleapiclient.discovery import build
DOMAIN = os.environ['DOMAIN']
creds = service_account.Credentials.from_service_account_file(
    os.path.expanduser(os.environ['GSC_SA_KEY_PATH']),
    scopes=[
        'https://www.googleapis.com/auth/siteverification',
        'https://www.googleapis.com/auth/webmasters',
    ],
)
sv = build('siteVerification', 'v1', credentials=creds)
sv.webResource().insert(
    verificationMethod='DNS_TXT',
    body={'site': {'type': 'INET_DOMAIN', 'identifier': DOMAIN}, 'owners': []},
).execute()
sc = build('searchconsole', 'v1', credentials=creds)
sc.sites().add(siteUrl=f'sc-domain:{DOMAIN}').execute()
sc.sitemaps().submit(siteUrl=f'sc-domain:{DOMAIN}', feedpath=f'https://{DOMAIN}/sitemap.xml').execute()
print(f'OK: sc-domain:{DOMAIN} verified, added, sitemap submitted')
"

After this runs successfully, the SA is siteOwner, the sitemap is submitted, and GSC starts accumulating impression data (real data usually takes 1 to 3 days).

Why API not browser: no manual clicking, no browser lock contention, works from any machine that has the SA credentials. A browser flow is only needed if the domain belongs to a GCP project the SA is not enabled on, or if you have no access to the SA.

Step 2. Add the Product to ~/social-autoposter/config.json

Edit ~/social-autoposter/config.json and add the client as a new entry under the projects[] array:

{
  "name": "ClientName",
  "weight": 10,
  "landing_pages": {
    "repo": "~/CLIENT-website",
    "github_repo": "<GITHUB_ORG>/CLIENT-website",
    "base_url": "https://clientdomain.com",
    "gsc_property": "sc-domain:clientdomain.com",
    "product_source": [
      {
        "path": "~/CLIENT-website",
        "description": "1 to 2 sentence description of what this site is, who the client is, and what topics the guide pages should cover. Used in the LLM prompt when generating pages."
      }
    ]
  }
}

Field semantics (verified against seo/select_product.py and seo/generate_page.py):

Field	Read by	Purpose
name	both crons	Product label used in logs, DB rows (gsc_queries.product, seo_keywords.product), and the dashboard
weight	both crons	Relative pick frequency in the weighted-random product selection. Default is 10. Smaller or less active products use 6. Setting to 0 disables without deleting
landing_pages.repo	seo/select_product.py:29 eligibility gate; seo/generate_page.py:147	Path to the client's Next.js repo on disk. Must exist or the product is silently skipped
landing_pages.github_repo	optional, reference	Not read by the generator (git remote is read from the local .git/config). Keep for documentation
landing_pages.base_url	seo/generate_page.py:148	Prepended to /t/{slug} for final URL used in verification and logs
landing_pages.gsc_property	seo/select_product.py:31 eligibility gate for cron_gsc.sh	Must match sc-domain:... exactly. Without it the product is invisible to the GSC cron
landing_pages.product_source[]	seo/generate_page.py:119	Grounds generated content in real product details. Each entry has path (a README, docs dir, or source root) and description

Without gsc_property set, cron_gsc.sh silently skips the product forever. Without repo on disk, both crons skip it.

Step 3. Activate the SEO launchd Jobs

Both SEO crons ship as plists in ~/social-autoposter/launchd/ but npx social-autoposter init does NOT auto-load them (only the social posting plists are auto-loaded). Link and load them once, on the machine that will run the pipelines:

ln -sf ~/social-autoposter/launchd/com.m13v.social-gsc-seo.plist ~/Library/LaunchAgents/
ln -sf ~/social-autoposter/launchd/com.m13v.social-serp-seo.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.m13v.social-gsc-seo.plist
launchctl load ~/Library/LaunchAgents/com.m13v.social-serp-seo.plist

Verify both are registered:

launchctl list | grep -E "social-(gsc|serp)-seo"

Expect two lines, each with a PID (when a run is currently executing) or - plus the last exit code. Both jobs fire every 600 seconds (10 min). Skip this entire step if launchctl list already shows both.

Step 4. Backfill GSC Queries (optional but recommended)

cron_gsc.sh does not fetch queries eagerly; the fetch happens lazily inside each run. If the domain was just registered and has zero rows in the gsc_queries table, the first cron picks will do nothing. To kickstart, run the fetch manually:

cd ~/social-autoposter
python3 seo/fetch_gsc_queries.py --product ClientName

Expect 0 queries for brand-new properties (GSC impression data takes 1 to 3 days to accumulate). Re-run the fetch after a few days to populate the table. Once pending queries with impressions >= 5 exist, the cron will start generating pages automatically without further action.

Step 5. Verify End-to-End

# 1. Confirm the product is eligible for both pipelines.
python3 ~/social-autoposter/seo/select_product.py --require-gsc
# Run it 20 times; the product's name should appear proportional to its weight.

# 2. Inspect pending queries after a fetch.
source ~/social-autoposter/.env
psql "$DATABASE_URL" -c "SELECT status, COUNT(*) FROM gsc_queries WHERE product = 'ClientName' GROUP BY status;"

# 3. Force one GSC run without waiting for the cron.
~/social-autoposter/seo/run_gsc_pipeline.sh ClientName
# Writes to ~/social-autoposter/seo/logs/gsc_ClientName.log
# Either creates a new page at ~/CLIENT-website/src/app/(main)/t/{slug}/page.tsx,
# or exits with "No pending queries with >= 5 impressions. Done."

# 4. Watch the cron pick the product organically.
tail -f ~/social-autoposter/skill/logs/cron_gsc-*.log

Onboarding checklist:

• sc-domain:DOMAIN appears in the SA's site list (sc.sites().list() includes it with permissionLevel: "siteOwner")
• Sitemap submitted (appears in GSC UI under Indexing > Sitemaps within minutes)
• New product entry exists in ~/social-autoposter/config.json with all five required landing_pages fields
• select_product.py --require-gsc includes the product in its rotation
• Both com.m13v.social-gsc-seo and com.m13v.social-serp-seo appear in launchctl list
• At least one run of run_gsc_pipeline.sh ClientName completes without error (an exit of "no pending queries" is acceptable on day one)
• Within 3 days, gsc_queries table shows rows with status='pending' and impressions >= 5 for the new product

What NOT to do

• Do NOT write page TSX manually with inline SVGs and raw HTML tables
• Do NOT use the old seo-page-ui blueprint (deleted; it produced plain pages without components)
• Do NOT create local guide component files in product repos; use @seo/components
• Do NOT use the old underserved-seo-page skill (deleted; replaced by run_serp_pipeline.sh)
• Do NOT register GSC properties through the browser UI when the SA can do it via API (Step 1 above)

Writing rules (apply to all generated content)

• No em dashes or en dashes anywhere
• No AI vocabulary: delve, crucial, robust, comprehensive, nuanced, multifaceted, furthermore, moreover, additionally, pivotal, landscape, tapestry, underscore, foster, showcase, intricate, vibrant, fundamental
• Real code only, not pseudocode
• Concrete numbers, not vague claims
• First-person plural or second person voice

Quick reference

What	Where