Connect your store and Obsess AI generates up to 5,000 store-specific keyword opportunities — organized into clusters, classified by intent, scored by relevance, and wired into the rest of the platform so every blog post, product rewrite, and social post pulls from the same strategy.
Four capabilities that turn a flat keyword list into an actual SEO strategy your store can act on without hiring a consultant.
Connect your Shopify store and Obsess AI generates a complete keyword profile from your real product types, category paths, and catalog structure — clusters, singular and plural variants, evergreen terms, and AI-search questions. The strategy is ready before your coffee gets cold.
Most stores have keywords sitting one position from page one — clicks waiting on a small content nudge. Obsess AI surfaces these explicitly, with the projected click value of each move, so the highest-ROI work bubbles to the top of your list rather than getting buried.
A 7-day rolling detection layer catches keyword spikes and drops as they happen. Capitalize on rising searches in your niche before competitors notice, and rescue declining keywords before the traffic loss compounds.
Your brand name should always rank #1 for your brand. Obsess AI monitors brand keyword positions and fires an alert the moment a competitor or aggregator starts outranking you, with a recommended response — typically a content or schema update on the affected page.
SEO managers and agencies ask for the technical detail a lot, so here it is. This is the same six-stage pipeline whether you have 50 SKUs or 50,000.
On install, Obsess AI reads every product, variant, collection, image, metafield, and tag through the Shopify Admin API. Your products, types, and category paths are the unique DNA that powers all keyword discovery downstream — not a generic ecommerce keyword list.
Product types and category paths are clustered semantically. A 4,000-SKU fashion store might produce 30 to 40 clusters such as boho dresses, summer accessories, and women shoes online — each with its own scored set of related keywords, not a flat list.
For each cluster the engine generates singular and plural variants, evergreen terms (the queries that never go out of season), and intent-classified versions (informational, commercial, navigational, transactional). The same root keyword shows up multiple ways because shoppers actually search multiple ways.
The engine also generates Generative Engine Optimization questions — the natural-language queries people pose to ChatGPT, Perplexity, Gemini, and Google AI Overviews. These power FAQ blocks and H2 headings designed to be cited in AI responses, not just blue-link results.
Every keyword and cluster is scored against your store relevance, current ranking position, projected click value, and competitive difficulty. Quick Wins are flagged. Brand and brand+modifier queries are protected. The output is a priority list, not a spreadsheet you have to triage yourself.
The same keyword profile feeds the blog writer, product enhancements, and social automation — but distribution is content-aware. Per-section caps in blog posts. Up to 15 keywords per product page. Cluster-derived hashtags for social. The result is a unified strategy without a single piece of stuffed copy.
Most AI tools generate content in a vacuum. Obsess AI builds a complete keyword profile from your actual Shopify product catalog — then uses it to make every blog post, product description, and social post work together for SEO and AI search visibility.
Obsess AI connects directly to your Shopify store and analyzes every product — types, categories, descriptions, pricing, and images. This is your store's unique DNA that powers all keyword intelligence and content generation across blogs, product pages, and social media.
Automatic, store-specific keyword research in under 60 seconds
The AI analyzes your product types, category paths, and catalog structure to generate a complete keyword profile — organized into scored clusters, with singular/plural variants, evergreen terms, and GEO questions for AI search engines like ChatGPT, Perplexity, and Google AI Overviews. This replaces hours of manual keyword research with one click.
The same keyword profile feeds into every content channel — but the AI distributes keywords differently based on content type, section context, and platform requirements. This prevents keyword stuffing while ensuring every piece of content is optimized for search engines and AI-powered discovery.
Per-section keyword limits prevent stuffing. GEO question headings optimize for AI search engines. Primary keyword is bolded on first use for featured snippet targeting.
15 cluster-matched keywords injected per product. AI generates unique descriptions optimized for both search engines and conversions — never generic templates.
Keywords become niche context for natural captions and platform-authentic hashtags. Aligned with your blog calendar so every channel reinforces the same topics.
Because every blog post, product description, and social post pulls from the same store-specific keyword profile, your entire content ecosystem works together — driving more organic traffic, higher search rankings, and better AI search visibility across ChatGPT, Perplexity, and Google AI Overviews.
No manual keyword research. No content silos. One intelligent system powering everything.
The same keyword profile feeds every content surface — but the distribution is content-aware. Blog posts, product pages, and social posts each get a different application of the same underlying strategy. This is what prevents stuffed copy and keeps every channel reinforcing the same topics.
Per-section keyword caps (1 in hero, 3 in introduction, 5 in rich text and FAQ, 3 in product sections) prevent stuffing. GEO question headings target AI search engines. Primary keyword bolded once for featured snippet eligibility.
15 cluster-matched keywords mapped per product. Title gets the primary, meta gets the click-driver phrasing, body copy gets semantic variants, alt text gets descriptive contextual phrasing — never generic templates.
Keywords become niche context for natural-sounding captions and platform-appropriate hashtag sets — Instagram density, Pinterest keyword-rich descriptions, X brevity. Aligned with the blog calendar so every channel reinforces the same topics.
Four representative scenarios drawn from stores running Obsess AI today, across very different categories and store sizes.
A 4,000-SKU fashion store discovers 30+ clusters covering boho dresses, summer accessories, and athleisure — including singular/plural variants the in-house team had missed. Quick Wins surface 47 keywords sitting at positions 11–20 that need only a content refresh to break into page one.
A skincare brand finds high-intent informational queries around individual actives ("what does niacinamide actually do?") that no one in the niche is targeting properly. The keyword universe maps each query to the products in the catalog containing the relevant ingredient.
A decor merchant uncovers seasonal trend spikes via the 7-day rolling detection — terms like "small living room ideas" rising before holiday gift-search season. Content is shipped before competitors notice the move.
A specialty retailer in a niche category finds low-competition long-tail queries no one is writing about. The keyword graph is paired with evergreen terms and GEO questions so each cluster powers a long-form post and a set of PDP rewrites in one pass.
We would rather be honest about scope up front. These are the limits we tell merchants in onboarding so they can set realistic expectations.
Pricing is published on a single page with what every plan includes. No usage-priced tokens, no enterprise-only features hidden behind a sales call.
See full pricing →Install, generate your keyword universe against your real catalog, see the clusters and Quick Wins, and decide before any charge is made.
Start the trial →Our case studies show real stores, real keywords, and real ranking screenshots. Read the full Shop Bezza case study for methodology applied end to end.
Read the case study →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 keyword research feature described here is the result of building the cluster extraction layer, the GEO question generator, and the per-channel distribution logic in close collaboration with merchants running stores from a few dozen SKUs to several thousand.
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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