AI Search Visibility for B2B and Industrial Brands in India
B2B buyers ask AI for suppliers, specifications and compliance standards long before they contact a sales team. A supplier that no engine names does not reach the shortlist. We build the prompt set for B2B and industrial brands from product specifications, use cases and standards, because that is how these buyers phrase their questions.
How B2B buyers ask AI
B2B prompts carry more context than consumer prompts. They name a specification, a standard, a use case or a plant condition, and they ask for a shortlist. Our prompt volume method builds the universe from first-party product data: specifications, use cases and compliance standards. It then calibrates that universe to measured search demand.
Each product line becomes a set of prompts. A fixed set of question types is applied to each product, so every gap in coverage is deliberate and auditable. The method is published as How to Estimate AEO Prompt Volume.
What a published industrial scan shows
UltraTech Cement had the highest owned-citation share in our five scans at 13%, and 38% coverage. This was independent research on a public brand and not client work.
| Measure | UltraTech Cement |
|---|---|
| Prompts scanned | 50 |
| Coverage | 38% |
| Owned-citation share | 13% (24 of 186 citations) |
| Average position when named | 1.05 |
| Citations converted to mentions | 88% |
Source: Velivo One AEO scan output, ibs Fulcro AI search analysts. ChatGPT only, one response per prompt.
UltraTech was absent from waterproofing, putty, tile-fixing, crack-filler and fast-track cement prompts, where other brands had published the citable content. Strong rank in one product line did not carry over to the others. Read the Owned-Citation Gap study.
What we do for a B2B or industrial brand
- Build the prompt universe from specifications, use cases and standards, product line by product line.
- Scan six engines and compare you with named competitors on prompts that do not name your brand.
- Map the sources engines cite for your category, such as standards bodies, trade publications and supplier directories.
- Publish answer-first product and application pages with specifications stated plainly and schema that matches the page.
- Build authority with original research under your name.
- Re-run the same prompts and report the change.
B2B and industrial experience
Nayara Energy is a current AI Search Visibility client. For Pearson Education we ran a B2B media campaign aimed at school principals that grew revenue 1.8x and cut cost per lead by 50%. We have worked with Tata Tele Business Services, Hindustan Zinc and Polycab. For Polycab we interviewed MEP consultants, builders, electricians and architects among 587 external respondents. Ongoing AEO work runs from ₹75,000 a month with no prompt limit.
Frequently asked questions
Pick the agency that builds prompts from your specifications and standards, tests them on six engines and reports results on prompts that do not name your brand. We do that. See our ranked list of AEO agencies in India. Put the same checks to each one, using our buyer's guide.
From first-party product data: specifications, use cases and compliance standards. A fixed set of question types is applied to every product. Where the data does not support a statement, the prompt asks how to find the answer. It does not assert one.
Yes. Industrial and mining are among the sectors we serve. Our published AI visibility scans in this area cover cement. We will run the same baseline for your product lines.
Yes. B2B pages need specifications, standards and application detail near the top, with the source for each claim. The audience is an engineer or a procurement head who will check the figure.
From ₹75,000 a month, scoped by the time we assign to the account. There is no prompt limit.
Want to see where your product lines stand?
Talk to us for a no-obligation assessmentPage last updated October 20, 2026.