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Marketing and growth

Content that is measured to the lead it produces.

Plan topics from search and AI-answer demand, check draft claims, and publish to an agreed schedule. Reporting connects articles to tracked enquiries and qualified leads where attribution is available. Publication volume is capped; a visit or booking alone is not a customer result.

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Who it is for

Teams that need this workflow.

B2B and SaaS companies whose blog is a cost centre nobody can tie to a deal

Firms that need to rank and to be cited by ChatGPT, Claude and Google AI answers

Marketing teams of one who cannot write, fact-check and measure forty articles a year by hand

What it does

Content engines, by the job.

Plan

Plans from demand

Search Console, analytics, AI-citation monitoring and the CRM feed one scoreboard. The engine writes what buyers are asking, and refreshes what is decaying before it writes anything new.

Draft

Drafts under a standard

The draft answers the chosen buyer question and keeps the sources behind its claims. Review checks the evidence, useful detail and fit with the publishing brief.

Gate

Fails on fabrication

Unsupported claims and numbers without a reporting window are held for review. If a factual error is found after publication, correcting it takes priority over the next article.

Measure

Measures to the lead

Article forms pass available first-touch data to the CRM where permitted. Missing consent, identifiers or records leave gaps; recorded contacts do not establish causal contribution.

How it is built

The build, in order.

The pilot covers one defined workflow. We agree its success metric and kill threshold in writing before the build; the steps below show how this system is developed and evaluated.

Write the standard

Positioning method, fact floor, register, sources allowed, claims forbidden. The engine inherits it as gates, and a gate failure is fixed in the copy, never in the checker.

Connect the measurement

Search Console, analytics with paid traffic separated from organic, AI-citation monitoring, and the CRM, so the engine can only take credit for what it earned.

Run at a capped cadence

At most one merged article a day, refresh before new, and a monthly model bake-off so the writer seat is the best available rather than the one chosen in January.

Let the overseer steer

An in-engine overseer holds the written goal, grades its own predictions, and moves the levers the loops read. Lead pressure never becomes a volume signal.

In production at Strataigize

We run this ourselves.

The Insights section of this site is run by this engine. It ships at most one article a day, refreshes before it writes new, separates organic traffic from paid so it takes credit only for what it earned, and reports to an overseer whose goal is written down: high-quality, long-term clients. A booked meeting alone does not meet it.

AI SEO changed everything: 0 to 600+ AI sessions

Governance

Controls and human review.

A person can stop the engine with one switch, and the engine cannot turn itself back on
Every claim traces to a named source, and client evidence is used at most once per article and never in the headline
Spend on models and data is metered per call against caps you set

The rest of the posture is published on trust and security: client-granted access you can revoke, credentials in managed stores, an AI governance summary aligned to the NIST AI Risk Management Framework, our subprocessors, and a DPA on request. We do not hold SOC 2 and we say so there.

Case studies

The work behind it, documented.

Strataigize Marketing

We Had No Organic Traffic, Then AI SEO Changed Everything

117 Semrush AI citations (2025-12-09)474 ChatGPT sessions (after)

Read the case study →

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Questions

Content engines, answered.

Does Google penalize AI content?

Google penalizes unhelpful content whoever wrote it. Its guidance and its spam policies target scaled content produced to manipulate rankings, not the tool. Our engine is held to the standard a human writer would be held to: sourced claims, a direct answer, and measurement to leads. We published the primary sources in a separate article. Read it here.

How is this different from a writing tool or a content agency?

The system connects topic planning, drafting, source checks, scheduled publication and CRM reporting. A writing tool may cover only part of that work. If your team already handles the planning and publishing, a smaller tool or service may be sufficient.

Can it write for AI search as well as Google?

It plans for both. Measurement samples citations across ChatGPT, Claude, Perplexity and Google AI answers. Direct answers, attributed facts and current information are publishing practices; they do not guarantee inclusion or citations. Read it here.