Skip to content
CiteRank AI
01 · Industry · Manufacturing

Supplier shortlists now start with a spec typed into AI.

Buyers describe a tolerance, a material, a certification and a volume, then ask who can make it. CiteRank AI shows how the 8 major engines answer capability and specification prompts for your category — and what it takes to be on the shortlist.

Vertical benches currently run 4 engines; full tracking covers all 8.

8
AI engines tracked
300+
Capability & spec prompts
14d
Free trial
02 · Industry challenges

Your capability is real, just not machine-readable.

Industrial sites describe capability in brochures and PDFs. Engines need explicit, structured statements of process, material, tolerance, certification and capacity to include a supplier in an answer.

Capability prompts

'Who can machine this alloy to this tolerance' resolves to marketplaces and directories, not manufacturers.

PDF-locked specs

Datasheets and capability matrices live in PDFs engines cannot parse or attribute reliably.

Certification invisibility

ISO, IATF and industry certifications are shown as logos, so they never enter a structured answer.

Catalogue capture

Industrial marketplaces absorb the citation for part and component prompts in your category.

Export intent

Region and compliance prompts are answered by trade portals rather than by the manufacturer.

Aftermarket questions

Spares, service intervals and lead times go unanswered publicly, so forums fill the gap.

03 · AI visibility benchmarks

Which suppliers the engines name for capability prompts.

A sample of the industrial prompt graph replayed across engines, by process and specification.

Category promptChatGPTGeminiPerplexityClaudeAnswer concentrationYou cited?
Precision CNC supplier for tight tolerancesMarketplace, Supplier A, Supplier BMarketplace, Supplier A, Supplier BMarketplace, Supplier A, Supplier BMarketplace, Supplier A, Supplier B3 of 26
IATF-certified component manufacturerDirectory, Supplier C, Supplier ADirectory, Supplier C, Supplier ADirectory, Supplier C, Supplier ADirectory, Supplier C, Supplier A4 of 21
Contract manufacturer for small production runsMarketplace, Supplier D, ForumMarketplace, Supplier D, ForumMarketplace, Supplier D, ForumMarketplace, Supplier D, Forum5 of 24
Supplier with export compliance for the regionTrade portal, Supplier B, DirectoryTrade portal, Supplier B, DirectoryTrade portal, Supplier B, DirectoryTrade portal, Supplier B, Directory3 of 19

Illustrative modelled data — not live client results. Names anonymised.

04 · Case study

A precision components maker, modelled end to end.

A supplier with strong capability was invisible to capability prompts because everything lived in PDFs. We published the capability matrix as structured pages and rebuilt the organisation entity.

What we changed
  • Organization, Product and Service schema published across capability and product pages
  • Capability matrix extracted from PDFs into structured pages by process, material and tolerance
  • Certifications published as text with issuing body, scope and validity dates
  • Application and industry pages written to answer buyer specification prompts directly
  • Weekly replays across capability and certification prompts with change attribution
Modelled outcome
5% → 25%
Citation share across capability prompts
8 wks
To first new engine citation
Capability areas with any citation

Illustrative modelled data — not live client results. Names anonymised.

05 · Embedded demo

Capability-level visibility in one view.

Visibility trend and share of voice, loaded with a manufacturing-shaped dataset.

AI visibility · Share of Voice

AI Visibility — Share of Voice over time

12-week trend, weighted across the tracked LLMs.

Current
67/100
39 pts vs W1
020406080W1W2W3W4W5W6W7W8W9W10W11W12
Your company · PerplexityTop competitor

Tip: tab into the chart to focus a weekly data point, then use the left and right arrow keys to step through weeks. Press Escape to exit.

Share of Voice · per engine

AI recommendation share — you vs competitors

Per-engine Share of Voice across the last 30 days of replays. Hover or focus a bar for the breakdown.

Illustrative modelled data — not live client results. Names anonymised.

06 · FAQ

Questions from manufacturing teams.

Does AI visibility matter for B2B industrial buyers?

Yes. Procurement and engineering teams increasingly use assistants for early supplier discovery, and the shortlist that reaches the RFQ stage is shaped by those answers.

Do we have to publish confidential capability data?

No. Only the information you already share in brochures and sales conversations needs to become structured and public — nothing proprietary or customer-specific.

Can we track visibility by process or material?

Yes. Prompt graphs are built per process, material and certification, so you can see which capabilities are cited and which never appear.

How many prompts does a manufacturer need?

Most manufacturers start with 200 to 400 prompts covering core processes, certifications, applications and export intent, then expand as capacity changes.

What actually moves industrial citations?

Moving the capability matrix and certifications out of PDFs into structured pages moves the most, followed by application pages written in the language buyers actually use.

07 · Get started

See which suppliers AI names for your capabilities.

Run a free audit and get the capability-by-capability breakdown of where you are cited and where you are absent.

Run Free Audit