Tier 0 · Self-Serve Diagnostic Tool
Enter your store URL. In 60 seconds we test 8 catalog-grounded shopper requests against your live search, compute 4 retrieval engineering sub-scores (0–100), and show a side-by-side preview of what our Talos Semantic Engine returns on your failed queries.
High / Partial Confidence Gated Zero false positives: a query is only marked Failed when your own catalog data contradicts the result. Includes a 24h Principal-Verified Snapshot option.
The 4 Engineering Sub-Scores (0–100)
Every report decomposes your 0–100 score across four retrieval and catalog engineering dimensions, paired with an explicit Engine Confidence Badge (High vs. Partial — JS Widget Detected).
Weight: 30%
Numeric size/fit limits ("sofa under 80 inches"), price ceilings ("oak desk under $500"), material + attribute combinations, use-case ("good for kids and dogs"), and negation ("isn’t leather").
8 catalog-grounded queries where ≥ 2 in-stock items match; measures whether matching items appear in top 6 without zero-result failures.
Weight: 15%
Top-3 precision on multi-constraint queries and zero-result honesty check (does the engine admit 0 matches or silently dump unrelated best-sellers?).
Top-3 relevant matches divided by judgeable top-3 slots, with penalty for silent popular-product fallback grids when matches exist.
Weight: 30%
Structured vs. prose attribute extraction across top catalog categories (dimensions, materials, capacity, compatibility, SKU/GTIN).
Full credit (1.0) for attributes in structured options/tags/fields; half credit (0.5) for facts buried only in HTML prose; 0 for missing.
Weight: 25%
schema.org/Product JSON-LD completeness (price, availability, brand, variants, MPN/SKU, physical dimensions), XML sitemap, and robots.txt access for OAI-SearchBot, PerplexityBot, Googlebot, and Bingbot.
100-point rubric: JSON-LD (25), physical specs (15), offers (15), brand (10), variants (10), IDs (10), AI search crawlers (10), sitemap (5).
Talos Semantic Search Side-by-Side Preview
Inside every scan report—and live on our 10,000-SKU reference showcase at usafurnish.com—we compare your current lexical/widget search against the Talos Semantic Engine:
| Shopper Constraint Query | Lexical / Keyword Search | Talos Constraint Parser | Talos Semantic Engine Result |
|---|---|---|---|
| tv stand for 75 inch tv | 0 results (or unrelated popular-products fallback grid) | Category: Media Stand · Width ≥ 67" · In Stock | 10 matching solid-wood & oak media consoles (68"–84" W) ranked by TV-fit margin |
| couch that is good for kids and dogs | Dining chairs & counter stools matching the token "kids" | Category: Sofa / Couch · Fabric: Pet-Friendly / Stain-Resistant Performance | 72 performance-fabric & rub-tested sofas ranked by family durability |
| apartment size sofa under 80 inches that isn’t leather | 88" and 94" leather sectionals (ignores "< 80" and negation "isn’t") | Category: Sofa · Width ≤ 80" · Material ≠ Leather | 14 fabric & bouclé apartment sofas (68"–79" W) with zero leather leakage |
Your 60-second score and 24-hour Principal-Verified Snapshot pinpoint where your catalog and search leak demand. Next, commission a Tier 1 Search Findability Audit ($3,500 / $7,500) or Combined Search & AI Findability Audit ($5,000 / $10,000)—with 100% of the audit fee credited toward a Tier 2 Semantic Search or Catalog Build within 60 days.
$2,500 design-partner rate available for the first 3 Tier 1 Search Audits in exchange for named before/after case study rights.
Our scanner identifies itself as RankTalos-FindabilityCheck/1.0. It reads public pages only, follows robots.txt, sends at most 60 requests one at a time with pauses, and never logs in, adds to cart, or submits forms.
To opt out, disallow RankTalos-FindabilityCheck/1.0 in robots.txt or email hello@ranktalos.com and we will add your domain to our opt-out list. See our findings policy and responsible disclosure.
What does the RankTalos Findability Score test in 60 seconds? It reads your public catalog, generates 8 catalog-grounded natural-language requests where at least 2 in-stock products match, runs them on your live search API, checks schema.org/Product JSON-LD and AI crawler rules, and computes four engineering sub-scores (0–100): Semantic & Constraint Recall (30%), Ranking Precision & Honesty (15%), Catalog Attribute Coverage (30%), and AI Crawler & Schema Readiness (25%).
How does the Engine Confidence Badge work? If your store runs Shopify Native Search, Fast Simon, or Constructor, the scanner queries the exact live search API shoppers see and prints a High Confidence badge. If we detect a third-party JS widget (Klevu, Searchspring, Boost) or non-Shopify stack, the report displays a "Partial — JS Widget Detected" badge, scores Catalog Attribute Coverage and AI Readiness live, and offers a free 24-hour Principal-Verified Snapshot of your live search widget.
How does the Talos Semantic Search side-by-side preview work? For failed constraint queries, your report shows what your current search returned alongside the exact in-stock products from your catalog matched by our Talos Semantic Engine constraint parser (plus a link to our live 10,000-SKU reference showcase at usafurnish.com).
Will it slow down my store? No. It sends at most 60 polite requests, one at a time with 400–700ms pauses, identifies itself as RankTalos-FindabilityCheck/1.0, and strictly follows your robots.txt.
Where does the revenue-at-risk figure come from? Online revenue × 44% from shoppers who search × natural-language share of searches × measured failure rate (45% in our furniture study, replaced by your store’s own measured failure rate) × 53% who leave after a failed search: about $210K to $525K per $10M of online revenue.