Sample AI Reports/Examples

Ideal Customer Profile & USP Deconstruction

Full-stack ICP analysis that surfaced a positioning risk hiding in plain sight: two incompatible go-to-market motions conflated on one website. Split the ICP into distinct motions with separate firmographics, technographics, buying committees, and objection sets. Every claim in the document carries an inline epistemological tag — [GROUNDED], [INFERENCE], [ASSUMPTION], or [VERIFY] — so the client knows exactly which findings are safe to act on and which require field validation first.

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Category Wedge Analysis & GTM Recommendations

Competitive matrix built from live third-party review data — incumbent NPS scores, documented implementation timelines, and verbatim reviewer complaints — rather than vendor marketing. Identified that the client’s true primary competitor was the status quo (spreadsheets and manual process), not any named vendor, and re-anchored messaging strategy accordingly. Closed with a single falsifiable positioning sentence a skeptical buyer can pilot-test.

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Grounded PMF Simulation — 250 Synthetic Respondents

Full Sean Ellis PMF study run against 250 grounded synthetic respondents, pre-allocated across Rogers diffusion categories before any response was generated. The headline finding inverted the client’s assumption: the product had strong fit — the aggregate score was a distribution artifact of an unqualified funnel selling to a market 2.5× wider than the segment that needed it. Deliverables included the complete deployable survey instrument, segment-level cross-tabs, and a prioritized interview guide for falsifying every major finding with real customers.

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Methodology Confidence Report

Every synthetic study ships with a self-audit most research vendors would never publish: circularity-risk ratings on each finding, an explicit confirmation audit requiring the study to contradict the client’s own positioning at least twice, evidence-chain diversity checks, and single-persona fragility flags. Findings that fall within simulation noise are labeled as such. The stated standard: a synthetic study treated as evidence in place of real conversations is worth less than nothing.

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Thought-Leadership & GEO Plan — B2B Infrastructure Operator

Ninety-day operating plan for a firm whose thinking was already done but whose distribution wasn’t — invisible in the comparison layer where LLMs learn the category, with one executive carrying the entire public voice. The plan split four narrative pillars across three executive voices, launched named monthly content franchises, and specified an eight-page definitional Q&A architecture with FAQ and Person schema built for LLM ingestion. Every action row names an owner, a deliverable, and a success metric; a quarterly LLM-citability audit provides the scoreboard.

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Personal Thought-Leadership Plan — Investor & Operator

The same architecture applied to an individual rather than a firm: audit of the existing public footprint across every channel, identification of the single lane the voice can defensibly own, a sustainable publishing cadence matched to how the person actually works, and entity-signal cleanup so search engines and language models resolve one consistent identity. Built from a full corpus workbook of the client’s published writing and recorded appearances, so recommendations rest on what the voice has actually said — not on a generic playbook.

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Founder Corpus Workbook — Fintech Executive

Multi-tab Excel workbook cataloguing the principal’s complete public record: articles, podcast appearances, conference talks, interviews, and social posts — each entry dated, sourced, and tiered by provenance so downstream content generation can distinguish first-person statements from paraphrase and third-party attribution. Includes verbatim quote banks organized by theme and explicit disambiguation guardrails flagging departed voices, stale claims, and content that must never be attributed as current position.

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Company Corpus Workbook — B2B Benefits Platform

Company-level corpus spanning executive voices, owned publications, press coverage, and partner content — the raw material for persona-accurate outreach, competitive briefings, and AI-assisted content that sounds like the company rather than like a language model. Every claim in downstream deliverables traces back to a numbered row in this workbook, which is what makes the difference between research that survives scrutiny and research that doesn’t.

Quarterly Win/Loss Analysis Report

Full quarterly win/loss report built on a synthetic buyer panel — simulated deal debriefs across won, lost, and no-decision outcomes, coded for decision drivers, competitive displacement patterns, and objection frequency. Explicitly labeled synthetic throughout and structured as the pre-validation half of the Sandwich Method: every finding doubles as an interview hypothesis for the real buyer conversations that follow, so field time is spent confirming and falsifying rather than exploring cold.

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Research-Driven Demand Generation Proposal

A proposal that demonstrates the methodology instead of asserting it: competitive and category research performed up front, at proposal stage, so the prospect evaluates actual work product rather than promises. Maps original research assets — synthetic studies, ICP validation, corpus-grounded content — to a demand generation program with defined deliverables and cadence. This is the document format behind DevelopmentCorporate’s cold outreach practice: lead with evidence, not with a capabilities deck.

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