PRODUCT 01 / INBOUND ENGINE

Turn evidence into discovery.
Discovery into pipeline.

Build useful content around what your company can prove. Improve how buyers, search engines and AI answers understand your expertise, and connect observable demand to qualified enquiries.

We improve eligibility, clarity and conversion. Search engines and AI platforms decide what they rank, cite or recommend.

INBOUND ENGINE / EXAMPLE WORKSPACE Evidence review
72/100
GEO READINESS

Evidence before output.

A transparent baseline across technical eligibility, entity clarity, content, authority, and conversion.

PRIORITISED OPPORTUNITIESBUSINESS FIT
01Buyer question → commercial page92
02Technical capability evidence86
03Industry use-case cluster79
ONE SHARED BUSINESS MEMORYSIX BOUNDED AGENTSHUMAN APPROVAL BEFORE ACTIONPIPELINE OVER VANITY METRICS

/ THE SYSTEM

A controlled loop.
From evidence to enquiry.

Every output carries its sources, assumptions, approval status, and next commercial action.
  1. 01

    Read the company

    Start with a company name, website and priority market. The engine maps what the public web can verify, not what a model can invent.

  2. 02

    Approve the truth

    Sources and company facts become a versioned Business Memory. A human approves claims before they influence strategy or output.

  3. 03

    Find the opportunity

    Buyer language, technical gaps, intent, competitors, and commercial fit become a transparent 90-day priority map.

  4. 04

    Follow demand into sales

    Connect useful pages and approved distribution to lead qualification. Track the visits and enquiries you can observe, then follow their progress in the sales pipeline.

/ SIX AGENTS · ONE MEMORY

Specialists with boundaries.
Shared evidence at every step.

01

Research

Crawls public pages, robots, sitemaps, technical signals, and verifiable company evidence.

02

Customer language

Finds how buyers describe the problem and creates a survey to validate real language.

03

Strategy

Scores opportunities by business fit, buyer evidence, intent, proof, and distribution potential.

04

Content

Turns approved opportunities into page briefs, evidence requirements, and useful first drafts.

05

Verification

Blocks unsupported claims, duplication, weak intent matches, and risky publishing decisions.

06

Measurement

Tracks observable search and AI referrals alongside enquiries and sales outcomes, with gaps in attribution kept visible.

/ FROM ATTENTION TO ACTION

When a buyer arrives, the context should not disappear.

The optional lead layer answers from approved company facts, asks relevant qualifying questions and routes enquiries by service, territory, urgency or value. It retains the source page and referrer where available. Unattributed demand remains visible.

  • Clear routing rules
  • CRM-ready context
  • Enquiry-to-sales tracking
QUALIFYING ENQUIRYEXAMPLE
Can you support a multi-site rollout in the UAE?
Yes, based on the approved service area. Which sites and target start date should we route to the team?
MARKETUAEURGENCY30 DAYSFITHIGH
ROUTED TOENTERPRISE SALESCRM ↗

/ BUILT FOR TRUST

AI interprets.
People authorise.

Claims need evidence

Material facts cannot enter approved memory or public content without a recorded source.

Actions need approval

Publishing, survey invitations, external outreach, and high-risk claims stay behind explicit human gates.

Progress stays auditable

Keep sources, approvals and changes in view. Measure observable demand against a baseline and review the next action with the owner.

READY FOR A CONTROLLED PILOT?

Start with one website.
Find the useful signal.

Request a pilot Back to dotSuper