Client: Bansal Trading Company 

Industry: Chemical distribution and trading 

Campaign Duration: 3 months 

Focus: AI SEO, Technical SEO, organic search visibility, generative AI search 

Bansal Trading Company was founded in 1956 and has been one of the established players in the chemical distribution market of India. Offering a range of over 650 different products for its more than 1,500 active customers, the company operates all over the country and serves industries like paints & coatings, pharmaceuticals, plastics, rubber, textiles, adhesives, and construction.

Even though the company has become a recognized name in the industry, it still needs a strong digital foundation to compete for relevant queries and make the wide array of products available for browsing online.

AI Digital Ranker helped Bansal Trading Company address these challenges through an integrated SEO strategy that combined technical improvements, semantic content optimization, website architecture improvements, and AI search readiness.

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Challenges: What Was Holding Back Search Performance?

Managing SEO for a large B2B website requires more than adding keywords to existing pages. Bansal Trading Company's website needed improvements across several interconnected areas.

Some of the challenges faced by the business are:

  • Outdated website structure and user experience 
  • Technical SEO and plugin compatibility issues 
  • Content quality and keyword targeting gaps 
  • Website speed and mobile performance 
  • SEO management across 250+ pages 
  • Limited preparation for AI-powered search 

To overcome these challenges, our experts created strategy by focusing in improving the website’s discoverability across emerging generative AI search experiences. 

How AI Digital Ranker Resolved These Challenges

At AI Digital Ranker, we’ve implemented a structured SEO strategy focused on strengthening the website's technical foundation, improving content relevance, and making the company's chemical expertise easier to discover.

Reorganized Website Architecture 

The website structure was reviewed to improve navigation and establish stronger connections between product categories, individual chemical products, manufacturers, and industry pages.

Improving internal links would allow us to better facilitate moving around relevant topics and help search engines see the relationship between different pages of the website. URL structures and content hierarchies were also reviewed to create a more coherent information architecture.

Strengthen Technical SEO 

Technical improvements addressed crawling, indexing, canonicalization, and website accessibility. XML sitemap and robots.txt configurations were reviewed, alongside duplicate URL handling and unnecessary indexation.

With a team of 50+ experts, we also addressed structural validation issues and rendering inconsistencies. These improvements established a stronger technical foundation for search engines to access and interpret the website's content.

Improved On-Page and Semantic SEO 

We refined metadata, headings, product descriptions, image alternative text, and keyword targeting across relevant pages.

In place of scattered use of the keywords, it was decided to combine related keywords with the suitable products, their application areas, and industries. Thus, each page was tuned to match certain commercial or informational search purposes and minimize the redundancy of keyword themes.

Enhanced Content Quality and Industry Relevance

Product and industry pages were optimized to make more meaningful information available to potential B2B buyers. The efforts involved enhanced descriptions, increased context relevance, improved readability, and expanded coverage of relevant topics.

People-first approach and trust-oriented information were used in the strategy in order to demonstrate the industry presence and a wide variety of products offered by the company.

Optimized Website Speed and Mobile Experience

Performance improvements included image compression, WebP implementation, CSS and JavaScript optimization, caching, resource-loading improvements, and lazy loading where appropriate.

Mobile responsiveness, navigation, calls to action, and contact accessibility were also reviewed to make it easier for prospective customers to find product information and submit business enquiries.

These measures were intended to strengthen discoverability across traditional search engines and emerging generative AI platforms without treating AI visibility as a replacement for conventional SEO.

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Results: Measurable SEO and AI Search Visibility in 3 Months

The reported performance data highlights the website's search visibility, keyword rankings, and user engagement during the three-month campaign period. 

Google Search Performance

  • 3.58 million total impressions
  • 14,000 organic clicks
  • 0.4% average click-through rate
  • 7.9 average search position
  • 905,000 reported impressions across generative AI search experiences in 3 months

Target keyword

Reported ranking

Chemical Distributors in India

#1

Chemical Products Suppliers

#1

Chemical Trading Company India

#1

These metrics give us the opportunity to measure the success of our campaign in terms of search visibility and create a base for further optimization of organic traffic, user engagement, and lead generation.

The broader objective remains clear: help Bansal Trading Company strengthen its online discoverability and connect with businesses searching for relevant chemical products and distribution partners.

Now let us find your growth areas and come up with an SEO strategy that will work for you.

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Frequently Asked Questions About AI SEO Strategy, Results, and Search Visibility

What is AI SEO, and how does it differ from traditional SEO?

AI SEO combines traditional search engine optimization with strategies that improve content understanding and visibility across AI-powered search experiences. It focuses on search intent, semantic relevance, structured content, and entity optimization.

How long does it take to see results from an AI SEO campaign?

AI SEO results depend on website condition, competition, content quality, and implementation. Some improvements may appear within weeks, while meaningful organic growth and stronger keyword rankings typically require several months of consistent optimization.

Can AI SEO improve Google keyword rankings?

Yes, AI SEO can support better Google rankings by improving technical performance, content relevance, internal linking, and search intent alignment. However, rankings depend on multiple factors, and specific positions cannot be guaranteed.

Why is technical SEO important for AI search visibility?

Technical SEO helps search engines access, crawl, and index website content effectively. Clear site architecture, reliable rendering, structured data, and accessible pages can also make information easier for AI-powered systems to interpret.

How can businesses measure the success of an AI SEO strategy?

Businesses can evaluate AI SEO through organic clicks, search impressions, keyword rankings, conversions, engagement, and visibility across supported AI search platforms. Tracking these metrics over time helps identify opportunities and assess campaign performance.