Most “AI social tools” hand you a paragraph and a stock graphic. Obsess AI produces a coordinated post set per product — captions tuned per platform, hashtags chosen for discovery, and images generated from your real product photography.
Your weekend essential, finally sorted. Hand-finished full-grain leather, magnetic closure, fits a 13" laptop and a Saturday market haul. Available in three colorways.
#LeatherTote #WeekendBag #ShopSmall #SustainableFashion
Four capabilities, designed to work as a single system rather than separate tools you have to coordinate manually.
Captions are written against the actual product record in your Shopify catalog — title, price, materials, sizing, and any custom metafields. The AI references real product detail rather than inventing it, so a "100% organic cotton" claim only appears when your product actually says so.
Generate promotional graphics, lifestyle compositions, and story-format visuals seeded from your real product photography. The model uses your existing product images as reference so the result looks like an extension of your store, not a stock illustration.
Hashtags are selected from a pool that mixes high-volume niche tags, mid-tail relevance tags, and brand-specific tags — with platform-aware density. Instagram gets up to 30 well-distributed tags; X gets two or three; Pinterest gets descriptive long-tail tags placed in the pin description.
Plan a weekly cadence by content type — for example, three product-led posts, two lifestyle posts, and one user-generated-content prompt per week. Obsess AI fills the calendar from your live catalog so what you publish reflects what is in stock.
“Cross-posting” the same caption to every channel underperforms because each platform rewards different things. Here is what the system does differently for each.
First-line hook in 50 characters or fewer, body copy that respects the "see more" fold, 8–15 well-mixed hashtags placed at the end or in the first comment, and product tags suggested for shoppable posts.
Longer-form copy that performs on Feed, with a clear value proposition in the first two sentences and a single, explicit call to action. Hashtags are used sparingly here — Facebook engagement does not reward density.
Descriptive, keyword-rich pin copy that reads like a search query, since Pinterest is a discovery engine. Tags are placed in the description, not the pin title, and the title leads with the buyer benefit, not the brand.
Caption suggestions sized for short-form video, with hooks designed for scroll-stop in the first second and CTAs that work without a clickable link. Hashtags lean into discovery (For You) plus one or two niche tags.
Tight 240-character copy with one or two hashtags max, a single product link, and an angle that rewards reposts — testimonial framing, behind-the-scenes detail, or a punchy product fact pulled from the catalog.
From an empty calendar to a published week of social content, in the same flow whether you are running one product launch or filling a recurring weekly cadence.
Start with one product if you are launching, a collection if you are running a campaign, or hand the system a cadence and a date range and it will fill the week from your live catalog automatically.
A single click produces a coordinated post set: feed-ratio image, story-ratio image, Instagram caption, Facebook caption, Pinterest pin description, and TikTok caption — all referencing the same product, all in your brand voice.
Every variant is editable inline. Tweak a line, regenerate a single variant, swap an image — the rest of the set stays consistent. Approved posts move to the calendar.
Posts publish on the cadence you set. You can run the social feature in full autopilot, manual approval, or a mixed mode where image-led posts auto-publish and high-stakes campaign posts wait for approval.
Engagement and click-through are pulled back into the analytics view alongside on-store conversions, so you can see which posts produced revenue — not just likes.
The single biggest difference between social content that converts and social content that feels like spam is whether it sounds like the store. Here is how we handle that.
On install, Obsess AI ingests your existing product copy, About page, and any prior social posts you have published. From those, it builds a profile capturing tone (warm vs technical, playful vs precise), sentence length distribution, vocabulary patterns, and formatting habits. The profile is private to your store and is never used to train shared models.
Every accept, edit, and reject is a signal. If you consistently soften a particular kind of phrase, or always add a specific sign-off, the profile updates within a few generations. New social posts published a month into use sound noticeably more like you than the first ones.
We do not borrow voice across stores. We do not generate posts that imply claims your product copy does not support. If your product description says "tested on a hundred sleepers," a generated caption will not escalate that to "loved by thousands" — the profile keeps the AI from making your store sound like a different store.
These are the principles the system applies by default, drawn from years of running and advising on Shopify social programs across categories. They are also good principles to know if you ever want to override the AI manually.
On every platform except Pinterest title fields, the first words a viewer reads should answer "what is in this for me." Obsess AI structures captions so the benefit comes first and the product name follows once the hook is set.
Instagram captions can be longer than people think — viewers expand the "more" fold when the first line earns it. Facebook rewards plain prose. Pinterest rewards keyword-rich descriptions. X rewards brevity. Same product, five different captions.
Branded hashtags belong in every post for tracking. Discovery hashtags should sit in the volume range where your account can actually appear in the feed — typically mid-tail tags rather than the most-used niche tags. The system selects this range automatically.
AI image generation is a multiplier for your existing product photography, not a substitute. The strongest social sets we see use a real product shot as the hero and AI-generated variants for context (lifestyle scenes, story stickers, holiday treatments).
We would rather call out the limits up front. These are the things we tell merchants in onboarding so they can set realistic expectations.
"We used to spend hours every week putting social posts together. Now we plan a week in twenty minutes, and the captions actually sound like us. The AI image variants give us creative we could never afford to produce manually."
"The brand voice profile is the part that surprised me. After two weeks of editing the first generations, the captions stopped needing edits. It learned how we write."
Aman is the founder of Obsess AI and leads product and engineering on the Shopify-native AI content system. He works with Shopify merchants daily on keyword strategy, on-product SEO, blog content workflows, and the platform integrations that make all of it possible. The social media feature described here is the result of building the catalog-grounded caption generator, the brand voice profile, and the platform-aware hashtag and image pipelines alongside merchants who run weekly cadences in production.
Primary documentation referenced for the technical claims on this page. We do not link out to competitor products or affiliate content; these are the standards bodies and platform docs the engineering work is built against.
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