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# AI Investor Review: Investor Lens rubric (A–L)

Guides for GEO reports, AI Focus Groups, scores, sharing, and the Partner API.

Getting startedexpand_moreRunning analysesexpand_moreAI Investor Reviewexpand_less- Overview
- Run a pitch deck
- Reading the report
- Investor Lens rubric (A–L)
GEO Analysis reportexpand_moreAI Focus Groups reportexpand_moreVeritasScoreexpand_moreCombined reportexpand_moreSharing & exportsexpand_morePartner APILoginexpand_moreInvestor Lens (schema investor_lens_v1) is the scoring contract behind AI Investor Review. Each parameter has a check, strong/weak signals, pass / partial / fail, and score 0–2. Category weights roll up to Investor Readiness (0–100). Auto-fail elements can cap readiness at 35.

Investor Lens A–L

IDCategoryWeightWhat it checksANarrative completeness8%A1–A12 · auto-fail A1,A2,A6,A10,A11BSubstance quality6%Specificity, quantification, evidenceCTraction rigor18%Highest weight · current metrics, no vanityDMarket sizing sanity12%TAM sourced · bottom-up · no 1% fallacyEBusiness model & unit economics6%Pricing, CAC/LTV, path to scaleFMoat / defensibility12%Named moat · compounding loopGTeam16%High weight · founder–market fitHThe ask & use of funds5%Amount, instrument, 100% use splitIInternal consistency4%Numbers/names match across slidesJCommunication & craft8%Arc, skimmable, headline-drivenKAI-first-filter readiness3%Survives LLM extraction/summaryLRed flags2%L1–L12 deterministic deck-killersA–L labels, weights, and what each bucket checks.
### Categories & weights

- C Traction rigor (18%) — current metrics with windows; no vanity as proof.
- G Team (16%) — who, why this team, relevant proof.
- F Moat (12%) / D Market sizing (12%) — defensibility and sane TAM/SAM/SOM.
- J Communication (8%) / A Narrative completeness (8%) — craft and required story elements.
- B Substance (6%) / E Business model (6%) / H Ask & use of funds (5%).
- I Consistency (4%) / K AI-first-filter (3%) / L Red flags (2% weight, high severity when triggered).

### Auto-fail (score cap)

AUTO_FAIL_ELEMENTS: A1 Problem, A2 Solution / product, A6 Traction / evidence, A10 Team, A11 The ask. If missing or failed, Investor Readiness can be capped at 35 until the deck states them clearly (for the ask: amount, instrument, use of funds).

Parameter table (sample rows)

IDParameterVerdict0–2ReasonA1Problempass2Painful ICP problem stated on slide 2 with named buyer.A6auto-failTraction / evidencefail0No revenue, pilots, or LOIs — only “growing interest.”C7No vanity metricsfail0“50k users” with no active/paid breakdown.D2Bottom-up calcpartial1SAM stated; bottoms-up method missing.H1Raise amountfail0Ask amount and instrument not stated.Live report groups rows under collapsible categories (A opens by default with C). Evidence slide refs appear when present.

Example fails including auto-fail A6.
### How parameters are scored

- pass (2) — slide evidence supports the check.
- partial (1) — present but vague, incomplete, or weakly evidenced.
- fail (0) — missing or contradicted; prioritize before outreach.
Sources vary by parameter: most are DECK extraction; some use FOOTPRINT (site) or VERIFY (claim checks). Category K compares deck thesis to an LLM screen summary and records the gap.

### FOCUS (after Focus Group)

Focus Group cross-check (FOCUS)

IDParameterVerdictReasonFG1Objection preemptionfailFG raised pricing opacity; deck never addresses it.FG3Investor intent signalpartialIdea score mid; ask slide overstates demand.FG5Message resonancepassFG emotional triggers align with problem slide.Appears only after a linked AI Focus Group finishes for this GEO. Until then the tab shows a pending notice.

FG1–FG5 overlay on the same review.- FG1 Objection preemption — deck addresses FG objections.
- FG2 High-risk coverage — high-risk FG themes acknowledged or mitigated.
- FG3 Investor intent signal — Idea/ratings vs deck stage and ask.
- FG4 ICP / persona fit — resonance with FG personas.
- FG5 Message resonance — FG emotional themes vs deck narrative.
FOCUS does not replace A–L; it checks whether the deck survives buyer simulation after the deck rubric.

Related

- Reading the report
- Run a pitch deck
- Running AI Focus Groups