DigiPuush says 78% of B2B sites are weak on AI search readiness

DigiPuush’s 2026 benchmark of 50 Google-visible B2B websites found that most scored poorly on AI search readiness, with none reaching the Strong or Very Strong tier. The findings highlight a gap between traditional search visibility and the structure AI systems need to discover, extract and attribute information.

Why it matters: - DigiPuush’s benchmark suggests many B2B websites may be visible in Google but still poorly prepared for AI-driven discovery and answer systems. - The gap matters because AI search tools rely on clear structure, entity signals, citations and extractable content to surface and attribute information. - The full benchmark is available as the DigiPuush AI Search Readiness Benchmark 2026.

What happened: - DigiPuush published the DigiPuush AI Search Readiness Benchmark 2026 on Sept. 21, 2026, in Bangalore, India. - The study reviewed 50 Google-visible B2B websites across five software and business-technology categories. - DigiPuush found 39 of the 50 sites, or 78%, in the Weak or Very Weak range. - The average readiness score was 37.9 out of 100, and the median was 40.9.

The details: - The benchmark measured websites across 15 readiness dimensions, including entity clarity, product and service clarity, target audience clarity, answer-ready content, FAQ coverage, original research, citation quality, author and expert signals, first-party proof, comparison content, topical depth, internal linking, structured extractability, entity consistency and content freshness. - The study covered CRM software, HRMS and payroll software, accounting and ERP software, customer support and helpdesk software, and logistics and fulfilment software. - Accounting and ERP software posted the highest average score at 47.5. - Logistics and fulfilment software averaged 40.0. - HRMS and payroll software averaged 39.8. - Customer support and helpdesk software averaged 31.8. - CRM software averaged 30.5. - None of the 50 websites reached the Strong or Very Strong threshold. - The benchmark focuses on publicly accessible website characteristics and does not measure ranking or recommendation frequency inside ChatGPT, Gemini, Perplexity, Google AI Mode or other AI platforms. - DigiPuush said the 50-company sample is not meant to represent every B2B company or website in India.

Between the lines: - The report frames AI search readiness as a separate challenge from classic SEO. - A site can rank well in traditional search and still be hard for answer engines to interpret, extract or attribute. - That makes content structure and supporting evidence more important as AI systems become another discovery layer.

What’s next: - DigiPuush said the benchmark is part of its ongoing research into Answer Engine Optimization and AI search. - The company’s services include content structuring, entity clarity, citation and authority development, answer-ready content, AI visibility analysis and related AI-search optimization work. - The published benchmark includes methodology, category-level findings, 15 readiness dimensions and research limitations.

The bottom line: - DigiPuush’s snapshot says most surveyed B2B sites are not yet built for AI search, even if they are already visible in conventional search.