How Indian brands can build AI discoverability and trust

A brand can appear in an AI answer and still be misunderstood. A prospective customer might see the wrong service, an outdated leadership profile or a recommendation that changes when the same question is asked in another language. For a business, each can affect whether the next conversation happens.

AI discoverability is the ability of an organisation and its information to be found and represented in AI-generated answers. The commercial goal is useful consideration: the right person understands what the business offers, finds credible evidence and knows how to get in touch.

At Carmine, Bionic PR connects human judgement, media intelligence, earned influence and responsible technology. Applied to AI discovery, it means examining both visibility and the quality of the information behind it. Three recent research findings help explain where organisations should focus.

Test the language your audience actually uses

Depra AI’s study of English and Hinglish shopping questions, updated on 15 October 2026, found that language could change the brands recommended. In its October rerun, the difference on Perplexity exceeded normal variation between repeated answers. Comparable effects on ChatGPT and Gemini did not reach the study’s statistical threshold.

The study covered just ten skincare and fashion questions. It came from a vendor selling AI visibility tracking, and it does not show that publishing Hinglish content improves rankings. Its practical value is a reminder to test assumptions about audience language.

Start with questions customers actually ask your sales and service teams. Preserve their intent when testing English and Hinglish, or other languages relevant to your market. Record the language, location, platform and date, and repeat questions to see whether an observation persists.

For example, a logistics business could test questions about a specific route, shipment type or service requirement. The purpose is to find unanswered customer needs. Translation should follow those needs and receive fluent human review.

Give website content and LinkedIn distinct jobs

In cloro’s October 2026 update, 51.8% of the 6,507 AI answers citing LinkedIn included a feed post, while 35.9% included an Article. Those percentages apply only to answers citing LinkedIn. They are not the likelihood that any individual post or article will be cited.

This vendor dataset reflects commercial prompts and measures citations, not enquiries. It is a reason to test formats, rather than declare a permanent winner.

Our recommendation is to make the website the maintained home for detailed explanations, evidence and service information. Use LinkedIn to develop one useful observation at a time: explain a business problem, offer a defensible view and link to the relevant detail when it helps the reader.

For a healthcare organisation, this could mean a clear website explanation of a service, supported by an expert’s LinkedIn post addressing a common misunderstanding. Claims should stay within the expert’s remit and the organisation’s verified capabilities.

Treat outdated information as a reputation issue

The 15 October preprint Retrieved but Not Read, by Owen Walters, Lihu Chen and Francesca Toni, found that search-enabled models sometimes answered from search snippets without opening the underlying pages. This behaviour was associated with more outdated answers and citations that contradicted the answer.

The research tested changing facts across selected model configurations. It was not an experiment on brand recommendations, and it does not establish that a website edit will fix an AI answer.

For communications teams, the practical response is to make current facts easy to verify. After a leadership change, service expansion or relocation, review the relevant website pages, biographies, social profiles and listings. Clearly date historical announcements and, where useful, point readers to the current profile. Preserve the historical record.

When an AI answer is wrong, open its cited sources. Establish whether the underlying information is outdated, the answer misreads a current page, or the claim has no supporting evidence. Each problem requires a different response.

Build authority around evidence people can inspect

Earned media remains part of this work. A detailed interview, independently reported story or attributable expert contribution can help stakeholders examine a company’s claims. Coverage earns its value through relevance and substance; a placement alone does not establish credibility or guarantee an AI citation.

Give journalists and other readers something worth examining: original research with a stated method, a documented case study or an expert explanation of a difficult issue. On your own website, distinguish the work delivered from outcomes you cannot confidently attribute to it.

Measure the path from an answer to a business conversation

A useful review records whether the brand appears, whether its description is accurate and which sources support the answer. Keep results separate by platform and language. Alongside those observations, track relevant website visits, qualified enquiries and meetings.

Ask new prospects how they found the business. Referral data and their answers can help identify patterns, but an increase in AI mentions does not by itself prove that PR caused more leads.

Begin with a small documented review

Choose ten questions connected to one priority service or business decision. Test them repeatedly in the relevant languages across two or three platforms. Identify the most material information gap, improve the corresponding source page and publish an expert explanation on LinkedIn. Repeat the same checks after a defined period, recording other changes that might affect the results.

This is where Bionic PR brings communications judgement to the task: deciding which information matters, who can substantiate it and whether the observed change is meaningful. The organisation can strengthen its public evidence, while external AI systems retain control over what they select and say.

Carmine’s AI-Enabled Discovery capability helps organisations examine their public sources, identify inconsistencies and prioritise improvements. Talk to Carmine about the questions your customers and stakeholders should be able to answer accurately about your business.

Research references