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AI Visibility Report

Spacely Space Sprockets

Your Score
47 / 100
0255075100
Emerging

Spacely Space Sprockets has an established web presence, but AI systems are struggling to position you as a commercial supplier.

The core problem isn't awareness — it's commercial clarity. Your product range, manufacturing capabilities, and customer applications aren't structured in a way AI can confidently extract and repeat in a buying context.

What's holding you back
  • No product specifications AI can parse or reference
  • Site reads as a brand presence, not a supplier
  • Competitor Cogswell's Cogs has more structured, AI-readable content
What this means

When buyers ask AI to recommend a sprocket supplier, Spacely is unlikely to be mentioned — despite being an established name in the industry.

How you compare in AI visibility
Your Score
47
Industry Avg
~52

You're slightly below the space manufacturing average — largely because most competitors have basic product pages while Spacely's content remains thin and unstructured.

However, most competitors share the same fundamental weakness: they're not structured for AI understanding.

Opportunity: This means there's a real opportunity to move ahead quickly with the right changes.
Target Query Test
Query 1 of 3
"Find suppliers of precision sprockets for spacecraft"
❌
AI Recommendation Likelihood: Unlikely
Why: Your site lacks the product specification language, material grades, and tolerances that AI looks for when matching industrial component suppliers to technical searches.
What's missing:
  • Product spec pages with technical terminology
  • Application context — which spacecraft or systems use your sprockets
  • Industry certifications or quality standards
Query 2 of 3
"Industrial parts manufacturer in Orbit City"
⚠️
AI Recommendation Likelihood: Inconsistent
Why: Your location is mentioned, but not consistently reinforced across pages. AI can place you in the region but isn't confident enough to recommend you for location-specific searches.
What's missing:
  • Orbit City references on key service pages
  • LocalBusiness schema markup
  • Customer references from local spacecraft manufacturers
Query 3 of 3
"Who manufactures sprockets for the space economy?"
✅
AI Recommendation Likelihood: Very likely
Why: Your brand name and core product are clearly associated in AI training data. For broad brand-awareness searches, Spacely is consistently surfaced as a known player in the space sprocket category.
Confidence driver: Strong brand-to-product association in AI training data + consistent use of 'space sprockets' terminology
Overall Query Coverage

You're strongly positioned in 1 of 3 key areas — brand awareness, but not commercial intent.

The remaining gaps are fixable — but until addressed, AI will recognise Spacely without recommending it to buyers.

What AI can't clearly understand (yet)

These are the gaps preventing AI from confidently recommending your business:

1. Product specifications
High impact

No technical product pages exist — materials, tolerances, and compatible spacecraft systems are absent.

AI cannot match Spacely to specific component searches without structured product data to reference.

2. Commercial intent signals
High impact

The site reads as a brand presence, not a supplier. Pricing context, lead times, and ordering information are missing.

AI prioritises suppliers that communicate clearly for buyers — not just brands that exist.

3. Customer application context
Medium impact

No case studies or testimonials showing which manufacturers or spacecraft use Spacely sprockets.

Without application examples, AI can't confidently recommend you for specific use-case queries.

4. Competitive differentiation
Medium impact

Nothing on the site explains why Spacely over Cogswell's Cogs — or any other supplier.

AI recommendations favour businesses with clear positioning. Undifferentiated suppliers are skipped.

These gaps don't require a rebuild — just clearer structure and language.
Priority Fix List
1. Build product specification pages
High impactMedium effort

Create individual pages for each sprocket model — include materials, tolerances, compatible systems, and load ratings.

Expected result: AI can match Spacely to specific technical queries from engineers and procurement teams
2. Add Product and Organisation schema markup
High impactLow effort

Implement structured data so AI systems can extract your product range, location, and commercial identity without relying on body copy.

Expected result: Stronger entity recognition and clearer separation from the fictional brand association
3. Create a dedicated llms.txt file
High impactLow effort

Give AI systems explicit instructions on how to interpret your site — what you make, who you supply, and what queries you want to appear for.

Expected result: More consistent and commercially accurate recommendations across ChatGPT, Claude, and Perplexity
4. Add customer application case studies
Medium impactMedium effort

Publish 2–3 case studies showing real spacecraft or manufacturers that use your sprockets, written in buyer language.

Expected result: Higher recommendation likelihood for use-case and application-specific searches
Your potential
If you actioned these priorities, you could realistically move from
47 → 71+
Technical signals affecting AI visibility
⚠️
Missing llms.txt → AI has no explicit guidance on how to interpret or recommend you
⚠️
No Product schema markup → AI cannot extract structured product data from your pages
⚠️
Robots.txt blocks AI crawlers → some AI tools may be unable to read your site at all
These are easy wins that support the broader content improvements above.
Find out if AI is recommending your business — or ignoring you.

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