Daily SEO publishing for Shopify on Make.com and OpenAI

A US used-book retailer with four stores, 14,000 products and 119 existing blog articles now gets a new SEO article every day from three connected Make.com scenarios that index what exists, plan a month of topics and publish to Shopify, checking every topic against the existing catalogue by search intent so duplicates never happen again.

Volume without memory is how automated content hurts a store. Content that does not know what was already published creates duplicates, and duplicates compete with each other in search. The audit here found six pairs that were the same article twice in a 119-article burst. The design answer is an index with intent labels, a planner that scores topics against that index and the store's collections, and a publisher that writes against live product data so every article links to real inventory.

The store had published 119 blog articles in a six-week burst and wanted a new article every day without repeating itself, and without a person reading every draft forever.

Three connected Make.com scenarios.

Article Index Reader: reads all 119 articles into a structured index with title, target keyword and intent label

Monthly Topic Planner: proposes a month of topics, scores each against the index and the store's 45 collections, and rejects overlaps by intent, not just by title

Daily Article Publisher: writes against a brief with live product data so every article links to real inventory, generates the featured image, runs an independent AI quality gate with its own prompt, creates a Shopify draft via the Admin API, logs to Google Sheets and alerts the owner on failure

Draft-first rollout, so the owner approves the first weeks before switching to auto-publish.

The index reader pulls every published article from Shopify and labels title, target keyword and intent.

Once a month the planner proposes topics, scores each against the index and the 45 collections, and rejects anything that overlaps by intent.

Each day the publisher takes the next approved topic and builds a brief with live product data.

The article is written, the featured image generated, and a second AI step with its own prompt grades the piece against the brief.

A passing article becomes a Shopify draft through the Admin API; a failing one is logged and the owner is alerted.

The run is logged to Google Sheets; the owner flips to auto-publish once the first weeks read clean.

A three-scenario system in production

119 articles indexed, 6 duplicate pairs surfaced in the audit

Manual equivalent estimated at 46 to 60 hours a month

Traffic results will be added once the first quarter is measured

The client work is listed at nex-automations.com/work. Nex Automations is listed in the Make partner directory.

Shopify and WooCommerce stores with a large catalogue and an existing blog, and any brand that wants daily content without duplicates and without a person reading every draft.

Index everything already published with intent labels, and check every new topic against that index before writing. This Shopify build rejects overlaps against 119 existing articles and 45 collections.

Yes, through the Shopify Admin API. This system drafts, QA-checks, attaches an image and creates the post daily, draft-first until the owner approves auto-publish.

A second AI step with its own prompt grades the article against the brief, independently of the step that wrote it. A failing grade stops the post and alerts the owner, so the writer model never marks its own homework.

Yes. The brief is built from live product data at write time, so every article links to inventory that exists that day rather than to a product that sold out last month.

Two articles with different titles can answer the same search. The index labels each article's intent, and the planner rejects a topic whose intent matches an existing piece, which is how the six duplicate pairs were found.

Three scenarios: one monthly, one daily, one on demand. Operations scale with one article a day plus the AI calls, on the store's own Make.com and OpenAI accounts. The build is quoted fixed after a mapping call.

Prem Patel is the founder of Nex Automations, an automation studio based in India with 1,200+ automations in production for 210+ clients across 12+ countries over six years (figures from nex-automations.com, August 2026). Make.com Level 5 certified, the top of Make's certification ladder, and an official Make partner listed in the Make partner directory. Zapier Certified Expert and a listed Zapier Solution Partner. 5-star average across 94 public reviews on Fiverr and Topmate.

Website: nex-automations.com · LinkedIn: linkedin.com/in/iamprempatel

Last updated: 27 August 2026.