Understanding AI-Led Search: How Deepak Bisht Approaches the Next Phase of SEO

DELHI, India - Dec. 18, 2025 - PRLog -- Search engines are no longer driven solely by keywords and links. Artificial intelligence is increasingly shaping how information is interpreted, summarised, and presented to users. As a result, search engine optimisation is moving toward a more context-aware and intent-driven discipline.

Deepak Bisht has been working at this intersection of SEO and artificial intelligence for several years.

With five years of experience in website development and search optimisation, Deepak has closely followed how AI systems influence search behaviour. His background in computer science has allowed him to analyse not only how content ranks, but how it is processed by AI-driven models used in modern search environments.

"AI-led search is less about matching words and more about understanding meaning," Deepak explains. "The focus has shifted from keywords to clarity, structure, and intent."

During his work with Indian and international projects, Deepak observed that content appearing in AI-generated summaries and conversational search results often differs from traditional top-ranked pages. This insight led him to explore how AI evaluates relevance, topical depth, and context.

Rather than optimising individual pages in isolation, his approach centres on building structured content ecosystems that AI systems can interpret accurately. This includes organising information around topics, improving contextual connections, and aligning content with real user questions.

These principles later shaped the foundation of KalaGrafix https://kalagrafix.com/, where AI-aligned SEO strategies are developed with a focus on long-term discoverability. The work involves analysing how platforms such as AI-powered search interfaces and conversational tools surface information, and adjusting content accordingly.

According to Deepak Bisht https://www.linkedin.com/in/deepak-bisht-aswatthama/, AI SEO does not replace traditional optimisation, but extends it. Technical stability, clear architecture, and reliable information remain essential, while AI introduces additional layers of interpretation.

"Search engines are learning faster than ever," he notes. "SEO professionals now need to think not just about visibility, but about how content is understood."

As AI continues to influence search results, practitioners who understand both human behaviour and machine interpretation are expected to play a key role in shaping digital visibility.

Bisht believes the next phase of SEO will reward accuracy, intent alignment, and consistency rather than aggressive optimisation tactics.

"AI systems favour information that makes sense over information that tries too hard," he says.

With AI-led discovery becoming a standard part of search experiences, expertise in this area is increasingly relevant for businesses seeking stable online presence.