Numbers with their working shown.
Analysis of engineering benchmarks, cost patterns and delivery data. Every report states how the analysis was done, cites the sources behind its numbers, and says plainly what it cannot tell you - because a figure without a method is an opinion.
The organic lead maths: what B2B engineering firms can realistically expect from SEO
We worked through the published conversion and ranking data to answer a question we get constantly: how much organic traffic does a services firm actually need to hit a lead target, and how long does it take?
- 1.1-1.5%
- Visitor-to-lead rate for software development and IT services
- 96.55%
- Of all pages get zero organic traffic from Google
Where LLM inference spend actually goes: cost patterns from production systems
Published pricing tells you the rate. It does not tell you which levers move a real bill. We analysed the optimisation levers available in 2026 and ranked them by realistic impact.
- 40-90%
- Cost reduction available on repeated prompt context via caching
- 10-20%
- Of features typically drive around 80% of inference spend
What makes this research.
The method is stated
Every report opens with how the analysis was done, so you can judge whether it supports the conclusion.
Sources are cited
Published figures are attributed. Where a number comes from our own delivery, we say so and describe the sample.
Limits are declared
Each report ends with what it cannot tell you. Analysis without stated limits is marketing with a chart.
Want this analysis run on your estate?
The benchmarks tell you what is typical. An assessment tells you where you actually sit and what is worth fixing first.
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