Most SEO tools hand you a spreadsheet of thousands of keywords. Obsess AI gives every page in your store a job — and makes sure no two pages fight for the same one. Built on your real Shopify catalog, grounded in your actual Google Search Console data, and ready for AI search.
Each of them is silently capping your traffic. The hard part is that you cannot see them unless you map them — which is what the Ownership Ledger is for.
Tools spit out thousands of keywords. Which matter for YOUR catalog, YOUR audience, YOUR price point? Nobody has time to sort that by hand.
Three of your product pages and a blog post all target "leather tote bag." Google does not know which to rank, so it ranks none well. Almost every growing store does this unknowingly.
It is not just ten blue links anymore. Google AI Overviews, Perplexity, and ChatGPT now answer shoppers directly. Content has to be structured to be quoted by AI, not just ranked.
Most SEO tools hand you a spreadsheet of thousands of keywords. Obsess AI hands you a coordinated keyword strategy — one primary keyword per page, supporting roles assigned, cannibalization explained in plain language, all of it grounded in your real Shopify catalog and your real Google Search Console data.
Without a coordinated strategy, multiple pages of your store target the same term. Google has no clear signal which page deserves to rank, so it ranks none of them well. This is keyword cannibalization — and almost every store does it unknowingly.
Obsess AI assigns each page one primary keyword plus supporting keywords, with a clear order of authority. Pages still related to the same theme reinforce each other instead of competing for the same exact term.
Pinned beats observed, observed beats inferred. If you’ve pinned a keyword on a page, the ledger respects that. Otherwise a page you already rank for (per Google Search Console) wins over an AI-inferred guess.
From catalog connect to assigned ownership, the same pipeline runs whether you have 50 SKUs or 50,000.
A reasoning model reads your catalog, brand, audience, and the language you sell in.
Thousands of keywords from live search databases, plus your actual Google Search Console rankings.
Every candidate keyword is judged for relevance, intent, opportunity, and the right page type.
Each page gets a primary + supporting keywords. The ledger feeds products, collections, blogs, and social.
When you write a new product description, build a collection, draft a blog post, or schedule a caption, Obsess AI references the same ledger. Each surface gets its assigned primary — no two pieces of content can quietly start competing.
Eight grounded capabilities — each tied back to a merchant outcome (traffic, time saved, or not leaving money on the table). No fabricated stats, no ranking guarantees, no real-time claims.
A reasoning AI model reads your store profile — products, brand, audience, price tier, the language you sell in — and produces a strategy. Topic clusters, seed themes to research, target audience, and which intent matters for each page type. A plan tailored to your catalog, not a generic template.
Every candidate keyword from live search databases is evaluated by AI for relevance to your store, shopper intent (browsing vs. ready-to-buy), opportunity (volume vs. difficulty), and the right page type. Off-audience and irrelevant terms are filtered out. You see the few hundred that actually fit — and why.
Connects to Google Search Console and reads what you already rank for — which query, which page, what position, how many impressions. That real-world signal feeds the strategy. The highest-ROI move in SEO — pushing a page you already rank for from page two to page one — surfaces automatically.
The hero differentiator. Each page is assigned a single primary keyword plus supporting keywords, with a clear order of authority: a keyword you have pinned beats one we observed in Google, which beats one we inferred. One shared source of truth across products, collections, and blogs.
Detects when one keyword is split across two or more of your pages. An AI analyst judges whether it is a real conflict, how severe it is, and recommends the fix — make one page supporting, consolidate, differentiate the angle, leave it as-is, or redirect. In plain language. With your decision still required.
The same keyword intelligence powers product-page optimization, collection pages, blog posts, and social captions. When you create content, the system recommends the right primary, shows which keywords are already owned by another page, and gently flags if you pick a different primary than the AI recommends — without ever blocking you.
Identifies question-shaped and answer-eligible keywords, and structures content with FAQ schema so it can be surfaced by Google AI Overviews, Perplexity, and ChatGPT. Shoppers increasingly get answers from AI, not search results. This is how you show up there.
Keyword research and content run in the store's actual market language — not translated-from-English guesses. International and non-English stores get keywords real local shoppers actually type.
Search changed. Google AI Overviews now sit above the blue links. Shoppers ask Perplexity and ChatGPT for recommendations. Pages that show up in those answers are structured for it — short, declarative, schema-backed passages tied to question-shaped keywords. Obsess AI builds for that surface by default.
Generates question-shaped headings and FAQ schema so a passage can be quoted directly in the AI Overview block above the blue links.
Builds answer-eligible passages with citation-friendly structure — short, declarative, schema-backed — so your pages are quotable rather than skipped.
Question and answer structure also wins traditional featured snippets and "People also ask" boxes — same content, two surfaces.
AI answer engines need passages they can quote. A traditional SEO paragraph buries the answer in three sentences of build-up; a question-shaped heading with a self-contained 1–2 sentence answer is citation-ready. FAQ schema explicitly tells search engines “this string is the question, this string is the answer” — and that mapping is exactly what an AI overview quoter looks for. Obsess AI generates these by default for every long-form blog post and product page where they fit.
We deliberately built a merchant-in-the-loop step into every consequential keyword decision. That is a control benefit, not a limitation — keyword strategy decisions touch your brand, and autonomous rewrites would put that at risk.
The system suggests the right primary keyword, surfaces conflicts, and explains the fix. You can pin a different primary, accept the recommendation, or ignore it. The picker is non-blocking by design.
The ledger is deterministic. A keyword you have pinned overrides anything else. A keyword we saw you rank for in Google Search Console beats one we inferred from your catalog. The hierarchy is published, not opaque.
When a conflict is flagged, the AI explains the conflict and proposes a fix. The fix only happens when you click apply. Nothing rewrites your products or blogs behind your back.
We tell merchants these up front in onboarding. Setting realistic expectations is the trust differentiator.
Plain answers to what merchants ask in onboarding. Each one is marked up as FAQ schema for AI answer engines.
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 strategy system described on this page — the AI judgment layer, the Ownership Ledger, the cannibalization detector, and the AEO scaffolding — is the result of building each layer in close collaboration with Shopify merchants running stores from a few dozen SKUs to several thousand. Conflict-of-interest disclosure: this page describes my own product. The facts here are what the product actually does today; the marketing framing is mine.
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.
How the Ownership Ledger feeds the rest of the platform.
Install Obsess AI, connect Google Search Console, and the first Ownership Ledger build runs against your real catalog and your real rankings. You stay in control. You decide what to keep.
No credit card required.