Programmatic SEO AI Build Make Automation — Trade Wolf AI

Looking for someone with Programmatic SEO AI build experience using the Make platform. Building a custom Make.com automation, since it offers full control over the hybrid content architecture (verbatim data + AI research + AI writing) Feel free to flag any suggestions or concerns with this architecture during the build Trade Wolf AI: Prediction market analytics platform for Kalshi and Polymarket. Page target: 1,448 pages, one per prediction market. Search intent: Informational/research — visitors are researching a specific market, not ready to buy on arrival. Monetization: Primarily subscription to the analytics platform; secondary potential via affiliate/referral to Kalshi/Polymarket for visitors who don't convert directly. Content Architecture (Hybrid — four-part chain) Freshness check (verbatim + verified): My own market link, title, and category always come straight from my spreadsheet, verbatim — never altered, since that link is how I track and attribute conversions. Time-sensitive numeric data (price, odds, volume, open/closed status) is checked against the live market via a direct Kalshi/Polymarket API call before writing — if my spreadsheet is stale or the market has closed, the current live data is used instead. Research (Perplexity, Sonar tier by default): Pulls supplementary context — why the market exists, relevant news, comparable markets, and any real underlying factors (e.g., legal/constitutional/historical reasoning) that explain the odds rather than just restating them. Writing (Claude, via Batch API where possible): Takes the verified data + Perplexity's research and writes a full 1,000-2,000 word article, anchored to the verified facts, not padded filler. Output is HTML-formatted (h2, p, ul tags), title and body as separate fields. Audit/QA pass: Before an article is published, a validation step checks that it actually explains real reasoning behind the market rather than just restating the odds/percentage. If an article fails this check, it should be flagged for review rather than published as-is. This matters at scale — with 1,448 pages, thin/templated content can start creeping in well before I'd notice it by spot-checking, so this needs to be automated as part of the pipeline, not something I catch after the fact. Content quality bar: an article should explain real substance behind a market — e.g., a "will X run for a third term" market should reference the actual 22nd Amendment constraint, not just state a bare percentage. If an article restates odds without underlying reasoning, that's a sign the research step is being skipped. Images: Included — a featured image per page, generated from row data (category/theme), uploaded to WordPress set as the featured image. Recommend starting the trial batch on the low-cost setup — cheap enough that upgrading any single underperforming component later barely moves the total. Publish Pacing (Drip Schedule) Generation and publishing are separate clocks — content can be generated in bulk quickly, but published live gradually, since a brand-new domain publishing too fast can get flagged. Phase | Timing | Pages/day | What we're checking before advancing Seed batch | Days 1-14 | 5-15/day, ramping within the phase (~50-100 total) | Are pages getting crawled/indexed at all? Watch Search Console Coverage report for "crawled but not indexed" as a red flag Phase 1 ramp | Days 15-35 | ~15-20/day | Indexing rate holding steady, no impression drop-offs Phase 2 scale | Days 36-70 | ~20-30/day | Consistent indexing, healthy impressions, no Coverage warnings Full cruise | Day 70+ | 25-30/day until complete | Ongoing weekly Search Console check — pull back if indexing stalls Seed batch breakdown (Days 1-14) — do not publish all 50-100 at once: Days 1-3: 5-10/day (~25 total) — true test batch Days 4-7: 10-15/day (~45 more) — only if Days 1-3 show clean indexing Days 8-14: 10-15/day to round out to 50-100 total Full rollout of all 1,448 pages should land around 3-4 months at this pace. The Search Console Coverage report is the real signal, not the schedule — slow down if indexing stalls, accelerate if everything's indexing cleanly. Supporting requirements for indexing speed: Internal linking added within 24 hours of each page going live (2-3 contextual links per new page) IndexNow or direct sitemap submission integrated into the publish step Maintenance & Refresh (Separate Scenario, Same Account) Two-tier schedule, both using batched API calls (checking all markets in one request, not iterating row-by-row) to keep Make operations cost low: Daily lightweight "closed market" flag check: One batched API call checks just the status field (open/closed) across all published markets. Any market that's closed but still shown as open on-site gets flagged, its sheet status updated, and a minimal WordPress update adds a "Market Closed — Final Result: X" banner to that page. This is cheap enough to run daily and prevents the worst failure mode — a page showing live-looking odds for a market that's already resolved. 1-3 month full refresh cycle: A deeper batched check of price/odds/volume across all markets, updating any pages where the numbers have meaningfully drifted since publish. This split keeps Make credit usage low (batched calls scale with number of API requests, not number of rows) while still catching the highest-risk staleness (closed markets) quickly. If you've read this entire post, start your proposal with "I READ IT"