# Audit, $3,500 We measure where you stand across five engines, map the sources they draw from, and hand you a ranked 90-day roadmap. Source: https://martenfield.com/services/audit/ Price: $3,500 (one-time) Length: 2 weeks Method version: v1.0 --- ## Who this is for Proptech and CRE software companies who suspect they are absent from AI answers and want to know the size of the problem before committing budget to it. ## What you get - 50 buyer-intent queries across 5 engines at 3 runs each - Source map: which domains the models cite for your category - Entity check: how the models describe you, and what they get wrong - Hallucination log with the exact prompts that produced each error - Technical review: crawler access, schema, rendering, freshness - 90-day roadmap ordered by effort against expected movement ## How it runs ### 01. Query set agreed We draft 50 buyer-intent queries from your category, your competitors, and the questions your sales team already answers. You approve the set before anything runs, because the queries are the contract. ### 02. Measurement Every query runs against five engines, three times each, logged out. Raw responses are stored, not just the parsed result, so a parser correction later re-reads history instead of re-running it. ### 03. Source and entity analysis We extract every cited domain into a ranked source map, then check how the models describe you against how they describe the competitors they name instead. ### 04. Debrief A working call on the findings and the roadmap. This is also where we tell you if the honest answer is that you do not need us yet. ## Not included - Implementation. The audit tells you what to fix, it does not fix it. - Content production. - Ongoing tracking after the two weeks. ## What we do not promise - Pipeline numbers from AI answers - Demo counts attributed to a model - Attributed revenue from generated answers Attribution from generated answers is unreliable in 2026. Citation share is what we measure, and it is the leading indicator, not the invoice. ## Who we turn down - Individual agents and local brokerages - No proprietary data to publish - Budget under $3,000 a month - First question is the monthly rate ## Questions ### What do I actually get at the end? A source map of the domains the models cite for your category, a hallucination log with the exact prompts that produced each error, a technical review covering crawler access and schema, and a 90-day roadmap ordered by effort against expected movement. Plus the raw measurement data. ### Can you guarantee we will get cited? No. We contract on measuring citation share identically before and after, and on doing the work the roadmap specifies. Anyone guaranteeing a citation outcome is guessing, because the engines change ranking behaviour without notice. ### Why five engines and three runs? Generated answers vary between runs. One run tells you what a model said once. Three runs across five engines tells you what it tends to say, which is the thing you can act on and the thing that can be re-measured honestly in 90 days. ### Do you work outside proptech and CRE? Not currently. The evidence, the query packs, and the source maps compound inside one category and do not transfer cleanly out of it. We would rather say no than sell you a generic version. --- Every engagement contracts on citation share across a named query set over 90 days, measured identically both times, under method v1.0.