Speed to lead is the elapsed time between a prospect submitting an enquiry and receiving a meaningful response from the business - a metric with a direct and significant impact on conversion rate.
Speed to lead is one of the highest-leverage metrics in B2B sales, yet most professional services firms manage it poorly. Research consistently shows that the probability of converting a new enquiry drops sharply with each passing hour - and that the business that responds first has a structural advantage regardless of price or reputation. For service businesses receiving AI-generated leads, speed is even more critical: AI-researched buyers have already made a significant effort to find you and are in active decision-making mode.
Studies across B2B sales consistently show that responding within 5 minutes of an enquiry is 21x more effective than responding after 30 minutes. After an hour, lead qualification rates drop by over 60%. After a business day, the opportunity is substantially diminished. Most professional services firms respond within hours or days - not minutes.
When a buyer asks an AI tool for a recommendation, they typically receive a shortlist and contact several firms at once. The first professional response wins disproportionate attention and goodwill. Being second by minutes often means being ignored entirely - the buyer has already engaged with your competitor.
Responding quickly with the wrong message is little better than responding slowly. Effective speed-to-lead combines fast response with intelligent qualification: acknowledging the enquiry, asking the right questions, and routing to the right person. This is where automation plays a role - handling the initial qualification reliably at any hour.
Most professional services firms handle new enquiries manually: someone notices an email, responds when they can, and books a call if the lead seems promising. This process is inconsistent, dependent on individual availability, and structurally slow. Systematic speed-to-lead requires process design, not just effort.
Speed-to-lead system implementation is the second pillar of AireStream's Pro tier. After achieving AI visibility, Pro clients build the infrastructure to handle the resulting enquiries consistently and quickly - qualifying, routing, and responding within 5 minutes regardless of when the enquiry arrives.
Generative Engine Optimisation (GEO) is the practice of optimising a business's online presence so that AI-powered tools - such as ChatGPT and Google's AI Overviews - recommend it in response to relevant queries.
AI search visibility is a measure of how frequently and prominently a business appears in AI-generated answers when relevant questions are asked.
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