AI Investor Review: Reading the report

Open the GEO dossier tab AI Investor Review (pitch-deck runs) or the Combined report tab of the same name. Read top-down: readiness and fixes first, then risks, then the parameter tables you will edit the deck against.

AI Investor Review — hero

AI Investor Review

Investor Lens rubric — structured scoring across 70+ parameters

38/100

Investor Readiness

Auto-fail: Missing A6 Traction / evidence; Missing A11 The ask

Top 3 fixes

State raise amount, instrument (SAFE/priced), and use-of-funds to 100% (A11 / H1–H2).
Replace vanity “users” with current paid/active metrics or honest pre-revenue (A6 / C7).
Add bottoms-up SAM with sources — drop top-down-only TAM (D1–D2).

Headline: readiness, auto-fail, Top 3 fixes.

1. Investor Readiness & auto-fail

Investor Readiness is 0–100 from weighted A–L averages. If any of A1 Problem, A2 Solution, A6 Traction, A10 Team, or A11 The ask fail, the UI lists them under Auto-fail and readiness can be capped at 35—fix those slides before optimizing polish (J) or market prose (D).

2. Top 3 fixes

Three concrete deck edits from the rollup. Treat them as the sprint backlog for the next deck revision—each usually maps to one or more failed parameters.

3. Red flags & contradictions

Red flags · contradictions · AI-first-filter

Red flags

L1 Vanity metrics presented as traction
L3 No clear ask or use of funds
L5 “We have no competitors” claim

Internal contradictions

Team size is “3 founders” on slide 4 and “solo founder + advisors” on slide 11.slides 4, 11

AI-first-filter readiness (K)

Deck thesis

B2B workflow AI that cuts SOC review time 40%.

AI screen summary

Generic “AI platform for enterprises” — market and ask lost.

Summary gap

ICP, traction, and raise amount do not survive LLM extraction — fix labeled metrics and ask slide.

Red flags (L), contradictions, AI-first-filter gap.

Red flags — triggered L* items (vanity traction, no ask, “no competitors,” etc.) with fix text when present.
Internal contradictions — cross-slide conflicts (numbers, team size, naming) with slide indexes.
AI-first-filter (K) — deck thesis, AI screen summary, and summary gap: what an LLM screening pass keeps vs loses.

4. Category weights & parameter tables

Parameter table (sample rows)

ID	Parameter	Verdict	0–2	Reason
A1	Problem	pass	2	Painful ICP problem stated on slide 2 with named buyer.
A6auto-fail	Traction / evidence	fail	0	No revenue, pilots, or LOIs — only “growing interest.”
C7	No vanity metrics	fail	0	“50k users” with no active/paid breakdown.
D2	Bottom-up calc	partial	1	SAM stated; bottoms-up method missing.
H1	Raise amount	fail	0	Ask amount and instrument not stated.

Live report groups rows under collapsible categories (A opens by default with C). Evidence slide refs appear when present.

Sample rows: id, verdict, 0–2, reason.

Category weights show avg_0_2 and weight % (C ~18%, G ~16%, F/D ~12%). Expand each letter: columns are ID, Parameter, Verdict (pass / partial / fail), Score 0–2, Reason; evidence slide refs appear when the scorer cited them. A and C open by default in the live UI.

5. Investor memo

Collapsible Investor memo (meta-review) is the narrative diligence summary after rollup—use it for IC notes, not as a replacement for the parameter table.

6. Focus Group cross-check (FOCUS)

Focus Group cross-check (FOCUS)

ID	Parameter	Verdict	Reason
FG1	Objection preemption	fail	FG raised pricing opacity; deck never addresses it.
FG3	Investor intent signal	partial	Idea score mid; ask slide overstates demand.
FG5	Message resonance	pass	FG 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 after a linked Focus Group.

When FG status is completed, FG1–FG5 appear: objection preemption, high-risk coverage, investor intent signal, ICP fit, message resonance. Pending until you run FG for this report. Pair with FG Affect Field / Discussion for why personas objected.

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