Big Ears · Conversion Agent

Conversion intelligence that understands your organisation.

Not a generic screenshot audit. The Conversion Agent reads your live journeys, analytics, company context, previous experiments and competitor landscape — then identifies, prepares and measures improvements, with a human approving anything that ships.

Organisation-awareEvidence-linkedHuman-approved
Run · landing page audit
context loaded
Loaded organisation context
Positioning · analytics · 3 previous tests
Walked the live page
Fold, form, proof placement, contrast
InferenceProof arrives after the decision

Trust signals sit below a full-height hero, so a visitor who bounces at the fold never reaches them. Suggested a placement test — held for human approval.

What you can point it at

One agent, many jobs — each read in full context.

From a single page to a standing loop, the same organisation-aware intelligence is applied. Nothing is judged in isolation.

One-off audits

A single landing page, an individual page, or an email — reviewed in context, not in isolation.

  • Landing pages and paid-traffic destinations
  • Individual product, pricing and signup pages
  • One-off marketing and lifecycle emails

Journey & funnel audits

Multi-step flows walked the way a real visitor moves through them, with drop-off read across the whole path.

  • Acquisition-to-activation funnels
  • Checkout and onboarding sequences
  • Cross-page narrative and momentum

Lifecycle & sequence audits

Whole email sequences and lifecycle programmes reviewed as a set, for consistency and cumulative effect.

  • Welcome and activation sequences
  • Re-engagement and winback programmes
  • Tone, cadence and offer coherence

Competitor sweeps

Direct, indirect, emerging and adjacent players scanned to separate table stakes from genuine white space.

  • Direct and indirect competitors
  • Emerging and adjacent challengers
  • Category conventions vs. differentiation

Continuous optimisation

A standing loop that learns from human feedback and measured outcomes, so each run starts smarter than the last.

  • Feedback memory across runs
  • Outcome learning from shipped changes
  • Re-prioritised backlog every cycle

Governed access

Connects through MCP, APIs and authorised web UIs — reading the systems you already run, with permission.

  • MCP, API and authorised web UI access
  • Scoped, revocable credentials
  • Read-first, act-only-on-approval

How it reads your work

Every finding is evidence-linked and honestly hedged.

The agent distinguishes what it knows from what it suspects. Pick a surface to see the kind of output a run produces — illustrative, not a real customer report.

Landing page — paid search destination

Reviewed against your positioning, analytics for this path, and the last three tests run on it. Demonstration output only.

4 findings
ObservationThe primary promise is restated three times above the fold

The headline, sub-headline and first badge row all carry the same claim in slightly different words, so the fold spends its attention repeating rather than building an argument.

Lens: CopyConfidence: HighAction: held for human approval
InferenceThe proof section likely arrives after the decision is made

Trust signals sit below a full-height hero, so a visitor who bounces at the fold never reaches them. Placement, not credibility, is the constraint.

Lens: CROConfidence: MediumAction: held for human approval
HypothesisA single-field form may lift starts on mobile

The current form asks for five fields before any value is shown. A staged first step is worth testing — framed as a hypothesis to validate, not a certainty.

Lens: UXConfidence: LowAction: held for human approval
FactContrast on the secondary CTA falls below 4.5:1

Measured from the rendered page: the ghost button text is #9aa4b2 on white. This is an accessibility fail, independent of any conversion argument.

Lens: AccessibilityConfidence: HighAction: held for human approval
Fact

Directly verifiable from the rendered page or data.

Observation

Something present and describable, not yet explained.

Inference

A reasoned read from the evidence, stated as such.

Hypothesis

A testable idea, paired with the metric that settles it.

Unknown

Named gaps, with the signal that would close them.

Competitive intelligence

Reads the market to find your opening, not to copy the pack.

Direct, indirect, emerging and adjacent players are swept together, then sorted through four lenses — so the recommendation is differentiation you can hold, not imitation that erases it.

DirectIndirectEmergingAdjacent

Table stakes

Conventions every serious player meets. Matching them buys entry, not distinction — so they are logged, not celebrated.

Parity traps

Places where copying a competitor would cost you your own advantage. The agent flags these before you follow the pack.

Transferable principles

Patterns that work for a reason you can borrow — the underlying principle, adapted to your context rather than cloned.

Strategic white space

Ground no one in the set is holding, mapped against your strengths so the opening is one you can actually own.

From finding to shipped change

Identify, prepare, approve, then learn.

The agent does the preparation and the measurement. A human stays in the loop for anything consequential — and every outcome makes the next run smarter.

01

Identify

Every finding is linked to its evidence and tagged by class — fact, observation, inference, hypothesis or unknown — so nothing reads as unearned certainty.

02

Prepare

Recommendations arrive implementation-ready: rewritten copy, Figma-ready layout direction, and the specific change, not a vague nudge.

03

Approve

Nothing consequential ships without a human. The agent proposes; a person reviews, edits and approves before anything reaches production.

04

Measure & learn

Shipped changes are measured, and both the outcome and your feedback fold into memory — so the next run is sharper than this one.

Nine specialist lenses

Each surface is reviewed the way a full team would review it.

PropositionCopyDesignUXCROTrustAccessibilityPerformanceCompetitive intelligence

Governed by design

Traceable runs, versioned logic, and a human in the loop.

The agent connects to what you already run, reads first, and acts only on approval. Everything it does is versioned and auditable through the Prompt Registry.

Prompt Registry

  • Versioned prompts
    Every prompt in the registry is versioned, so you can see exactly what logic produced a given run.
  • QA & canaries
    Changes pass QA and a canary before wider use — new logic proves itself on a small slice first.
  • Approvals & rollback
    Promotions require approval, and any version can be rolled back to a known-good state.
  • Run traceability
    Each run records which prompt versions, sources and approvals it used, so any finding is auditable end to end.
run landing-page-audit · surface=/pricing
prompt cro.finding@v14 · qa=pass · canary=pass
context analytics, brand, previous_tests(3)
gate human_approval=required

Access surfaces

MCP serversREST & GraphQL APIsAuthorised web UIsAnalytics & BISession replayCRM & pipelineResearch & brandFigma output

Context it reads

AnalyticsBISession replayCRMResearchBrandWritingPrevious tests

See it on your own pages

Point it at one page and watch it think.

We’ll run the Conversion Agent against a page or journey you choose, walk you through the findings, and show exactly where the human stays in control.