AI Visibility Ranking
Top 10 Most AI-Visible Metals Suppliers
How ChatGPT, Claude, Perplexity, Gemini and DeepSeek rate Metals suppliers. Updated September 18, 2026.
This ranking covers the 10 most AI-visible Metals suppliers we have audited, drawn from a pool of 28 companies in the category with a complete audit on file. Each supplier was put in front of five AI engines, ChatGPT, Claude, Perplexity, Gemini and DeepSeek, and asked the kind of questions a real buyer asks: who is this company, what do they make, can they be trusted, and would you recommend them. The Signal Score on this page is the smoothed average of those answers, from 0 to 100. Across this top 10, the average score is 35 out of 100, and the spread is telling: 3 land at Weak Signal and 7 are still Dark Signal.
What makes Metals interesting is not whether these are good suppliers, but how differently the AI models see them. Gemini recognized the most companies in this set, while Perplexity recognized the fewest. . Notably, no supplier in this set was recognized by all five engines, which is the clearest measure of true cross-AI visibility: a supplier that only one or two models know is invisible to buyers using the others.
Use this list as a starting filter at the top of your sourcing funnel for Metals, not as a verdict on quality or commercial fit. A supplier high on this list is easy for an AI procurement assistant to find and describe accurately, which shortens your research and lowers the chance an agent quietly skips them. A supplier low on the list, or absent from it, may still be an excellent partner that simply has not made itself legible to AI yet. The per-supplier notes below explain what each engine did and did not know, so you can judge the gap yourself.
The ranking at a glance
Overall Signal Score plus each engine's overall verdict rating (1 to 10). Where an engine recognized the supplier but did not return a rating, the cell shows "knows"; where it did not recognize them at all, it shows "not found".
| # | Supplier | Signal Score | ChatGPT | Claude | Perplexity | Gemini | DeepSeek |
|---|---|---|---|---|---|---|---|
| 1 | Changsha TIJO Metal Materials Co., Ltd.us | 50 / 100Weak | not found | not found | not found | knows | knows |
| 2 | Nath Foils Private Limitedin | 45 / 100Weak | knows | not found | not found | knows | knows |
| 3 | Raninox Steelin | 40 / 100Weak | not found | not found | not found | knows | knows |
| 4 | Saru Silver Alloy Private Limitedin | 38 / 100Dark | not found | not found | not found | knows | not found |
| 5 | Palco Recycle Industries Limitedin | 37 / 100Dark | not found | not found | not found | knows | not found |
| 6 | Ashok Metal Corporationin | 31 / 100Dark | not found | not found | not found | not found | knows |
| 7 | Prayas Metal India Pvt Ltd *High Nickel Metal Alloys*in | 29 / 100Dark | not found | not found | not found | knows | not found |
| 8 | S.R. Metalsin | 29 / 100Dark | not found | not found | not found | not found | knows |
| 9 | Anhui Xinbo Solar Material Co., Ltd.cn | 28 / 100Dark | not found | knows | not found | not found | not found |
| 10 | Supreme Steelae | 25 / 100Dark | knows | not found | not found | not found | not found |
Supplier by supplier: what each AI model knows
1. Changsha TIJO Metal Materials Co., Ltd. 50 / 100 · Weak Signal
Changsha TIJO Metal Materials Co., Ltd. scores 50 out of 100, a Weak Signal, and ranks #1 in US. Gemini and DeepSeek recognized the company; ChatGPT, Claude and Perplexity did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines recognize Changsha TIJO Metal Materials Co., Ltd., a Metals supplier in us. Across recent queries the company scored 70 out of 100 (Moderate Signal), with the strongest dimension being AI Recommendation Rate at 100 out of 100 and the weakest Digital Footprint at 20 out of 100. 2 AI engines (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include tantalum sheets, tantalum plates, tantalum rods. Certifications and trust indicators referenced by AI: iso 9001:2015. The Improvement Roadmap below outlines how to close remaining gaps and push every dimension toward Strong Signal.
See the full audit for Changsha TIJO Metal Materials Co., Ltd.
2. Nath Foils Private Limited 45 / 100 · Weak Signal
Nath Foils Private Limited scores 45 out of 100, a Weak Signal, and ranks #2 in IN. ChatGPT, Gemini and DeepSeek recognized the company; Claude and Perplexity did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines have a strong, consistent picture of Nath Foils Private Limited, a Metals supplier in in. Across recent queries the company scored 80 out of 100 (Strong Signal), with the strongest dimension being AI Recommendation Rate at 100 out of 100 and the weakest Buyer Trust at 25 out of 100. 3 AI engines (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include aluminum foil products, aluminum foils for packaging, plain aluminum foil. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 25 out of 100 and the AI Recommendation Rate at 100 out of 100. The Improvement Roadmap below outlines how to close remaining gaps and push every dimension toward Strong Signal.
3. Raninox Steel 40 / 100 · Weak Signal
Raninox Steel scores 40 out of 100, a Weak Signal, and ranks #3 in IN. Gemini and DeepSeek recognized the company; ChatGPT, Claude and Perplexity did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines recognize Raninox Steel, a Metals supplier in in. Across recent queries the company scored 79 out of 100 (Moderate Signal), with the strongest dimension being AI Recommendation Rate at 100 out of 100 and the weakest Digital Footprint at 30 out of 100. 2 AI engines (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include pipes and tubes, fittings (elbows, tees, reducers, caps), flanges. Certifications and trust indicators referenced by AI: iso 9001:2015. The Improvement Roadmap below outlines how to close remaining gaps and push every dimension toward Strong Signal.
4. Saru Silver Alloy Private Limited 38 / 100 · Dark Signal
Saru Silver Alloy Private Limited scores 38 out of 100, a Dark Signal, and ranks #4 in IN. Gemini recognized the company; ChatGPT, Claude, Perplexity and DeepSeek did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines recognize Saru Silver Alloy Private Limited, a Metals supplier in in. Across recent queries the company scored 70 out of 100 (Moderate Signal), with the strongest dimension being Identity and Presence at 80 out of 100 and the weakest Digital Footprint at 50 out of 100. One AI engine (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include silver brazing alloys, copper brazing alloys, aluminum brazing alloys. Certifications and trust indicators referenced by AI: iso 9001:2015. The Improvement Roadmap below outlines how to close remaining gaps and push every dimension toward Strong Signal.
5. Palco Recycle Industries Limited 37 / 100 · Dark Signal
Palco Recycle Industries Limited scores 37 out of 100, a Dark Signal, and ranks #5 in IN. Gemini recognized the company; ChatGPT, Claude, Perplexity and DeepSeek did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines recognize Palco Recycle Industries Limited, a Metals supplier in in. Across recent queries the company scored 63 out of 100 (Moderate Signal), with the strongest dimension being AI Recommendation Rate at 80 out of 100 and the weakest Identity and Presence at 30 out of 100. One AI engine (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include recycled aluminum ingots, adc12 grade, lm2 grade. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 45 out of 100 and the AI Recommendation Rate at 80 out of 100. The Improvement Roadmap below outlines how to close remaining gaps and push every dimension toward Strong Signal.
6. Ashok Metal Corporation 31 / 100 · Dark Signal
Ashok Metal Corporation scores 31 out of 100, a Dark Signal, and ranks #6 in IN. DeepSeek recognized the company; ChatGPT, Claude, Perplexity and Gemini did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines have very limited information about Ashok Metal Corporation, a Metals supplier in in. Across recent queries the company scored 33 out of 100 (Dark Signal), with the strongest dimension being Product Clarity at 80 out of 100 and the weakest AI Recommendation Rate at 0 out of 100. One AI engine (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include stainless steel sheets, stainless steel plates, stainless steel coils. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 0 out of 100 and the AI Recommendation Rate at 0 out of 100. The biggest opportunity for improvement is the AI Recommendation Rate dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.
7. Prayas Metal India Pvt Ltd *High Nickel Metal Alloys* 29 / 100 · Dark Signal
Prayas Metal India Pvt Ltd *High Nickel Metal Alloys* scores 29 out of 100, a Dark Signal, and ranks #7 in IN. Gemini recognized the company; ChatGPT, Claude, Perplexity and DeepSeek did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines have a partial picture of Prayas Metal India Pvt Ltd *High Nickel Metal Alloys*, a Metals supplier in in. Across recent queries the company scored 40 out of 100 (Weak Signal), with the strongest dimension being Product Clarity at 80 out of 100 and the weakest AI Recommendation Rate at 0 out of 100. One AI engine (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include high nickel alloys, stainless steel, duplex & super duplex steel. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 70 out of 100 and the AI Recommendation Rate at 0 out of 100. The biggest opportunity for improvement is the AI Recommendation Rate dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.
See the full audit for Prayas Metal India Pvt Ltd *High Nickel Metal Alloys*
8. S.R. Metals 29 / 100 · Dark Signal
S.R. Metals scores 29 out of 100, a Dark Signal, and ranks #8 in IN. DeepSeek recognized the company; ChatGPT, Claude, Perplexity and Gemini did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines have a partial picture of S.R. Metals, a Metals supplier in in. Across recent queries the company scored 43 out of 100 (Weak Signal), with the strongest dimension being Product Clarity at 80 out of 100 and the weakest Buyer Trust at 0 out of 100. One AI engine (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include lead, zinc, aluminium. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 0 out of 100 and the AI Recommendation Rate at 30 out of 100. The biggest opportunity for improvement is the Buyer Trust dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.
9. Anhui Xinbo Solar Material Co., Ltd. 28 / 100 · Dark Signal
Anhui Xinbo Solar Material Co., Ltd. scores 28 out of 100, a Dark Signal, and ranks #9 in CN. Claude recognized the company; ChatGPT, Perplexity, Gemini and DeepSeek did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines have a partial picture of Anhui Xinbo Solar Material Co., Ltd., a Metals supplier in cn. Across recent queries the company scored 45 out of 100 (Weak Signal), with the strongest dimension being Product Clarity at 80 out of 100 and the weakest AI Recommendation Rate at 0 out of 100. One AI engine (out of 3 tested: GPT-4o, Claude Sonnet, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include solar ribbons, busbars, tinned copper interconnects. Certifications and trust indicators referenced by AI: iso, tüv, sgs. The biggest opportunity for improvement is the AI Recommendation Rate dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.
10. Supreme Steel 25 / 100 · Dark Signal
Supreme Steel scores 25 out of 100, a Dark Signal, and ranks #10 in AE. ChatGPT recognized the company; Claude, Perplexity, Gemini and DeepSeek did not surface it, which is exactly the gap that costs visibility with buyers who default to those tools.
AI engines have a partial picture of Supreme Steel, a Metals supplier in ae. Across recent queries the company scored 45 out of 100 (Weak Signal), with the strongest dimension being Product Clarity at 65 out of 100 and the weakest Buyer Trust at 20 out of 100. One AI engine (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-v4-flash) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include structural steel, reinforcing bars. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 20 out of 100 and the AI Recommendation Rate at 50 out of 100. The biggest opportunity for improvement is the Buyer Trust dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.
How we built this ranking
Every supplier on this page was scored with the same locked Signal method. We send a fixed set of buyer-style prompts to ChatGPT, Claude, Perplexity, Gemini and DeepSeek, in more than one buyer language, and parse each answer for whether the model recognized the company, what products and certifications it named, its sentiment, and an overall verdict from 1 to 10. Those signals roll up into five weighted dimensions and a single 0 to 100 Signal Score, smoothed over the three most recent audit runs to dampen model jitter. We do not adjust weights per supplier and we do not accept payment for placement. The Metals ranking is rebuilt automatically as audits refresh, so a supplier that improves its AI footprint can climb, and one that lets its data go stale can fall. Full detail on prompts, weights and refresh cadence is on the methodology page.
Read the full Signal methodology
Caveats
A few honest caveats. This is a measure of AI visibility, not product quality, price or delivery reliability, so always run your own due diligence before you commit to any Metals supplier. AI models change their answers over time and occasionally refuse to rate a company at all, which is why some cells in the table read as not found rather than a number. Coverage is also a function of which suppliers we have audited so far; a strong supplier we have not yet reached will not appear here yet. Treat the ranking as a live snapshot, dated below, rather than a final word.
Our recommendation
If you are sourcing Metals and want to move fast, start with Changsha TIJO Metal Materials Co., Ltd., Nath Foils Private Limited and Raninox Steel. They are the easiest for an AI procurement assistant to find and describe correctly, which means less manual research and fewer surprises when you brief an agent to shortlist for you. Shortlist two or three, then verify each directly on price, capacity, certifications and references before you commit. If you are a supplier reading your own category, the gap between your score and the leaders is the gap an AI buyer sees first, and it is closeable: each supplier page on Reevol Signal shows exactly which engines miss you and what to fix.
Ranking as of September 18, 2026. Browse the full Metals leaderboard for every audited supplier in the category.