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Demand Engine

Content that sounds like you

Founder voice, brand consistency and search visibility, without it eating someone's calendar.

Wider reach
Demand Engine — Sondero

Example Agents for Demand Gen

Agents that keep your brand loud, consistent and findable.

Content Engine

Calls, customer wins and Slack chatter become posts, case studies, sequences and SEO articles. Never a blank page.

Faster publishing cadence

SEO & AEO Content Engine

Keyword and answer-engine briefs based on what your buyers actually search. Ready-to-edit drafts every week.

Found in more searches

LLM Search Monitoring (GEO)

Tracks what your buyers ask ChatGPT, Perplexity and Claude, and the answers they get. What to publish next.

Tracked in AI search

Profile Ghostwriting

Voice trained on your founder's transcripts, calls and back-channels. Long-form and reply drafts in their real cadence.

Wider founder reach

Competitive Intel Radar

Weekly digest of competitor product moves, hires, pricing and positioning shifts. One page.

Weekly competitor digest

Customer Story Production

Pulls quotes, numbers and timelines from closed-won data into a finished case study draft. Two per month.

2 stories per month

Step by Step

Scroll horizontally. Each step shows what the engine actually does at that moment.

Step 1

Mine Source Material

Sales calls, founder Slack, customer wins, internal memos. The system pulls raw thinking from where it actually happens.

Step 2

Voice-Train the Model

Trained on your existing corpus: posts, podcasts, voice notes. The output sounds like you, not like ChatGPT.

Step 3

Draft Posts & Articles

ChatGPT and Claude turn source material into drafts. Reviewable in 60 seconds, not 60 minutes.

Step 4

Plan the Calendar

Notion holds the editorial calendar. Three to five posts per channel per week. Consistent, not bursty.

Step 5

Publish Across Channels

LinkedIn, X, blog, newsletter, podcast. One source of truth, distribution as a service.

Step 6

Engage Daily

Extrovert and LeadShark drive replies to ICP and influencer posts. Structured engagement, not vibes-based.

Step 7

Capture Warm Interest

Trigify and Sales Navigator detect profile views, post engagement, downloads. Logged and scored.

Step 8

Pass to Outbound

Warm signals pass to the Outbound Engine with full context: which post, which signal, which engagement level.

Questions, answered.

How the Demand Engine fits your stack, your data, and your compliance.

How does the Demand Engine fit into our existing stack?

The Demand Engine runs inside the tools you already use: ChatGPT and Claude for drafting, Notion for your editorial calendar, Extrovert and LeadShark for engagement, and Trigify and Sales Navigator for interest signals. It publishes to your own channels and hands warm leads to your Outbound Engine. No new SaaS to buy, no new dashboard, no new logins.

Is the Demand Engine something we run ourselves, or is it done-for-you?

The Demand Engine is done-for-you. Sondero builds it and operates it inside your systems: the voice training, the drafting, the editorial calendar, the publishing, and the monitoring. It is not a self-service SaaS tool you log into and run. You review and approve while the engine does the work.

Is the Demand Engine GDPR-compliant, and where does our data live?

The Demand Engine is set up to match your compliance requirements. When you need strict data residency, it can run entirely on German and EU infrastructure. Where you are open to a model provider outside the EU, that step runs under a data-processing agreement with no training on your data. An AVV is ready to sign, GDPR documentation is included, and the working data stays inside your own systems.

What data and access does the Demand Engine need to start?

The Demand Engine needs your existing content and voice corpus (past posts, articles, and talks already in your voice), plus access to the channels you publish on. From there it mines fresh source material from your calls, founder Slack, and customer wins, so there is always something worth writing about.

How is the Demand Engine different from just using ChatGPT to write posts?

The Demand Engine is voice-trained on your own corpus and wired into your real editorial workflow, monitored with evals and versioning. It mines your calls and customer wins for material, runs the calendar in Notion, publishes across channels, and tracks how you show up in LLM search. A single ChatGPT prompt writes one post; the engine keeps founder-voice content shipping and measured.

Will the content sound like generic AI writing?

The Demand Engine is voice-trained on your own corpus of past posts, articles, and talks, so drafts read like you rather than like generic AI writing. A human reviews every post and article before it publishes. You get founder-voice content produced at volume, with your voice kept intact.