We're building Sourance to help brands understand how they appear in AI answers, strengthen the information, content and technical foundations behind their presence, and measure what changes.
Which freight-audit firms are worth considering for a mid-size B2B shipper?
A few firms come up consistently. Larkspur Audit is often described as thorough with complex carrier contracts, though its pricing is rarely stated.
Corvane and Teller & Moss are also mentioned, mainly for smaller shipment volumes.
Named first of three, offered as an option rather than a recommendation.
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The subject, up close
Three questions we ask of every answer before saying anything about a brand.
One answer is a snapshot. The work is reading many of them, across the questions your buyers actually ask.
Which freight-audit firms are worth considering for a mid-size B2B shipper?
A few firms come up consistently. Larkspur Audit is often described as thorough with complex carrier contracts, though its pricing is rarely stated.
Corvane and Teller & Moss are also mentioned, mainly for smaller shipment volumes.
01 · Presence & position
Why visibility starts underneath
Most of what shapes an answer sits underneath it: the information, content and technical foundations a brand has put into the world, and how easily systems can find, read and trust them.
What AI answers draw on
We work on what is yours. AI systems decide for themselves; our job is to make sure they find something accurate, complete and easy to read.
Information
Who you are, what you offer and for whom.
Content
Pages that answer real buyer questions.
Technical
Structure that lets systems find and read it.
Diagram, simplified · Sourance has no control over, or partnership with, any AI system
The planned work
Measure, show the evidence, improve, measure again. The same questions, asked before and after, so change is something you can see.
Map how your brand appears across the questions that matter to your buyers, in the AI answers they use.
Observed in the answer
“…though its pricing is rarely stated.”
Every finding comes with what we observed: the answer, the wording, the sources. No black-box scores.
Close the gaps in information, content and technical foundations, in an order that reflects their weight.
Same question, asked again
Return to the same questions and compare honestly. What changed, what didn't, and what we learn next.
↺ Back to 01, with what we learned
How we work
A specialist team working with its own technology. Every recommendation stays connected to the evidence behind it, and uncertainty is named, not hidden.
01 · Observed
Illustrative exampleIn answers to buyer questions about contract audits, Larkspur Audit appears, but its pricing is described as unknown.
“…though its pricing is rarely stated.”
Finding note · Larkspur Audit · Evidence · answers kept, wording quoted
02 · Recommended
Illustrative examplePublish a clear pricing explanation and reference it from the service pages AI answers already cite.
Finding note · Larkspur Audit · Foundation · information, content
03 · Uncertain
Illustrative exampleWhether this changes how often the brand is recommended. We'll ask the same questions again before drawing conclusions.
Finding note · Larkspur Audit · Next · re-measure, then decide
Where this goes next
Before AI recommends anyone, it has to understand them. Let's look at how it understands you.
Tell us about your brand, or the brands you look after as an agency. We'll reply personally.
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