Why "Become the Answer" = Become the Go-To Solution

When buyers use LLMs, they're not typing one keyword and skimming ten links. They describe context, add constraints, and ask for a decision. To win, you must be the specific solution for specific people at the moment of intent to act.

What changes vs legacy search

Search = many short queries over days; bottom-of-funnel keywords are expensive and crowded.
LLMs = one ongoing conversation with rich context; the model consolidates options and pins 1–3 sources.
Goal = become the cited source when the buyer asks the Commercial Critical Question (CCQ): "Given my constraints, who should I pick and why?"

Commercial Intent

Legacy SEO vs AEO

	Legacy SEO	AEO (Answer-Engine Optimization)
Buyer behavior	Many queries → compare links	One conversation → asks for a verdict
Your job	Rank broadly	Be the quoted solution for a narrow CCQ
Content	Topic clusters, long intros	One canonical Claim Page per idea
Structure	Walls of text	≤18-token claim + proof near the top
Proof	Opinions	Table + tiny CSV + JSON-LD (entity clean)
Metric	Impressions, rank	Answer-Attributed Meetings (AAQM) & pipeline

Who this is for (specific people, specific solutions)

Be the big fish in your defined pond.

Consulting & agencies: "If you are X with Y constraint, hire us. Here's proof."
Niche B2B SaaS/AI: "If you need feature/integration for industry, choose us. Here's ROI."
Professional influencers: "If you're ICP, follow this method—then book the workshop."

Under the hood (just enough tech to win the verdict)

LLMs lift short, self-contained, information-dense lines. Think ≈60-token windows: dense enough to answer, short enough to quote.

Why it matters to revenue: Dense lines get attributed, your URL appears, and the buyer has a clear next step.

The strategy → tactics (in service of capturing intent)

Strategy: Own the Commercial Critical Question (CCQ).

"Given my situation and constraints, who should I pick and why?"

Your page must answer that CCQ so well that AI cites it and the buyer clicks to act.

Tactics that serve the strategy

Claim (≤18 tokens): State the verdict you want the model to repeat.
Proof snapshot: Above-fold table + tiny CSV with outcomes, integrations, constraints handled.
Comparison row: One line that differentiates you on the CCQ (e.g., "SOC-2 + SSO in 7 days").
Implementation readiness: Checklist that de-risks adoption.
JSON-LD graph: Org/Person/Article/Dataset with sameAs to align identity.
Cross-posting: Summary to Substack/Medium; dataset to GitHub; both link to the canonical page.
CTA design: "Book a 15-min triage" or "Start trial" above the fold.

Packages

Three ways to work with us

BTA-01 — Claim Kit

$1,500

5 days

H1/TL;DR/quotes
Proof table + CSV
JSON-LD • CTA copy
Design wire

Order Claim Kit

BTA-02 — Challenger Sprint

$7,500

3 weeks

Page live • cross-posts
GitHub dataset
Answer tests (screenshots)
CTA & analytics wired
10 curator drafts

Book the Sprint

BTA-03 — Compound Plan

$2,500/mo

Ongoing

1 micro-update + 1 support post/month
Weekly tests + 3 curator follow-ups
Monthly AAQM/AAP report

Start compounding

Risk reversals

We de-risk the outcome

Fit-or-Free (Wizard)

3 claims ≥85 with 5+ credible sources—or refund.

Appearance Guarantee (Sprint)

At least one "appeared or cited" screenshot on a seeded CCQ in 4 weeks—or an extra week free + added proof.

Meeting-Backed Credit (Compound)

AAQM = 0 after 60 days (with timely approvals)—credit next month.

FAQ

Straight answers

Isn't ranking #1 on Google enough?: Not when buyers ask LLMs for a verdict. AEO puts you where the decision happens.
Do we need lots of content?: No. You need one canonical page per idea with proof near the top, refreshed monthly.
How fast can we see movement?: Typically 2–6 weeks if you have any authority. You get before/after screenshots.

Become the Answer.