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// Research_&_industry

Original research on marketing in the agent era.

Primary sources, dated claims, methods shown. When I can’t verify something, I say so. When an experiment fails, I publish that too.

COST_PER_PIECE · ILLUSTRATIVE
Featured_report Economics WORKING_TITLE

The economics of agentic content production

What a published piece costs across human, AI-assisted and agentic workflows, and where the savings disappear.

PUBLISH: [DATE] SAMPLE: [N] PIECES

// Published

Statistics and research, fact-checked.

PRIMARY SOURCES · DATED

// Reports

Research pipeline.

6 FILES · ALL WORKING TITLES
AEO_GEO IN_PROGRESS

What AI assistants cite in B2B SaaS categories

[DATE] Read_file →
Agentic_workflows IN_PROGRESS

Failure modes in multi-agent content workflows

[DATE] Read_file →
Agentic_workflows PLANNED

Agent autonomy vs. human oversight: where teams draw the line

[DATE] Read_file →
Marketing_ops PLANNED

Marketing ops use cases that survive production

[DATE] Read_file →
Claude_code PLANNED

Claude Code in a marketer’s toolkit: a field report

[DATE] Read_file →
AEO_GEO PLANNED

AI-sourced leads vs. Google-sourced leads: who closes

[DATE] Read_file →

NO_FILES_IN_THIS_CATEGORY_YET · THE FEATURED REPORT ABOVE IS ECONOMICS

// Industry_log

Signals worth your attention.

Short, dated notes on what changed in AI search, agents and marketing ops. Each one links to the primary source.

[DATE] [SOURCE] [One-line signal and why it matters to a marketing leader.]
[DATE] [SOURCE] [One-line signal and why it matters to a marketing leader.]
[DATE] [SOURCE] [One-line signal and why it matters to a marketing leader.]
[DATE] [SOURCE] [One-line signal and why it matters to a marketing leader.]

// Method

How every report is built.

PRIMARY_SOURCES

I link the original study, filing or dataset. Never an aggregator.

DATED_CLAIMS

Every time-sensitive number carries the date I checked it.

FAILURES_INCLUDED

The field publishes wins. I publish what broke and why.

// Market_signals_2026–27

What’s changing for B2B SaaS founders in 2026–27.

Full_research →
01

Efficiency mandate

CAC payback <12–18 mo · NRR >110%
02

Seat pricing gives way to outcome pricing

Agents replace seats
03

Answer-engine invisibility

Research moved to AI search
04

Content slop and unused call transcripts

Buyer language left in Gong
05

Hybrid GTM replaces single-channel

PLG + sales-led

// Early_access

Get each report the day it ships.

Ask_about_this_research