AI-Assisted Cold Outbound in Emerging B2B Markets: Field Evidence from India and the GCC

B2B firms in India and the Gulf Cooperation Council (GCC) increasingly use cold outbound prospecting, meaning unsolicited first contact by email and LinkedIn, with AI tools assisting research, targeting and drafting. Academic work on AI in sales is growing quickly, but published field evidence from emerging B2B markets is scarce. This paper reports self-reported practitioner observations from outbound programmes the author ran at three B2B firms, together with a LinkedIn Sales Navigator inbox snapshot and a qualitative account of an enterprise building information modelling (BIM) sale to a large Saudi engineering consultancy. The observed figures were: in a typical month during 2023–2026 across outbound programmes the author ran at two B2B firms (the earlier firm and Firm A, the latter in B2B data/cloud services), about 5,000 cold emails with a 3–5% positive reply rate (150–250 warm calls, i.e. accepted call or meeting requests), 40–50 meetings and 15–25 project proposals sent; at Firm B (BIM/construction technology), a database of 15,000+ stakeholders that yielded 6,500 qualified leads; and 60 of 342 Sales Navigator conversations with replies (about 17.5%). Derived figures, with the arithmetic shown, put the yield at 8–10 meetings and 3–5 proposals per 1,000 emails. The paper proposes a five-layer framework: signals, data, deliverability, AI-assisted messaging, and persistence. It also sets out propositions for future controlled research. The evidence is descriptive and is not causal.