Do you work with pre-launch agent companies still in closed beta?

Yes, when the founder records one unedited agent run per week and a real agent is running for at least one paying or design-partner buyer. The lead wedge is Founder Funnel plus Demo Production plus AEO citation work. We start the autonomy-claim narrative before public launch so the demo lands into a primed audience instead of cold.

What does a demo-led campaign actually ship for an agent product?

An 8-minute end-to-end agent run per week, recorded unedited and voice-over by the founder. A 30-minute long-form per month (Q&A, autonomy walkthrough, ops receipt). 30+ clip variants per long-form: builder cuts on X, buyer cuts on LinkedIn, full receipts on YouTube. AEO + GEO citation work runs in parallel so generative engines name the agent inside category queries inside 60 days.

How do you handle agents that fail on demos?

Failure-mode honesty is the wedge. Buyers trust agents that show the rough edges and the recovery, not the polished happy path. We script the failure points the agent already has and frame the recovery as the proof. Pretending an agent is perfect loses every buyer who has run agents before.

Can you cover both X (builders) and LinkedIn (buyers) for agent companies?

Yes, with cuts tuned for each surface. Builders on X want product mechanics, integration depth, eval rigor, model-choice rationale, and developer-grade demos. Buyers on LinkedIn want outcome stories, vertical fit, ROI receipts, and named-customer proof. Same long-form, different cuts, different cadence.

Do you work with horizontal agent platforms or marketplaces?

Yes, with two parallel narrative arcs: builder credibility (developer trust, SDK quality, framework fit, eval transparency) and buyer outcomes (vertical wins, integration receipts, ROI). Two-sided liquidity problems need two-sided distribution. Single-channel pushes do not work for marketplaces.

For AI Agent Products · By application · Selective on ICP

Marketing AI agents thatmodels recommend.

FORKOFF for AI Agents is a four-surface marketing engagement for AI agent products: AEO citation, GEO surface, founder-led unedited demo distribution, DevRel motion, audit ledger per dollar. Generative engines cite the agent, buyers replay the runs, builders adopt the SDK, AI funds back the next round.

Talk to FORKOFF

See the system

$2-5k pilot floor · routes to AEO + GEO + DevRel + founder funnelBy application · 5 engagements per quarterVertical · coding · ops · voice · multi-agent platforms

4 / 4LLM platforms cited inside 60 days on a vertical SDR agent install

14Days to first unedited agent run shipped end-to-end

$5-50kEngagement band per quarter (pilot floor to embedded retainer)

5Engagements per quarter (selective on ICP)

Agent shapes FORKOFF runs distribution for

Vertical SDR agentsCoding agentsAI ops agentsVoice agentsLegal AI agentsFinance AI agentsCustomer-support agentsMulti-agent platformsAgentOps communityLangChain orbitAI Engineer SummitAgent SDK buildersVertical SDR agentsCoding agentsAI ops agentsVoice agentsLegal AI agentsFinance AI agentsCustomer-support agentsMulti-agent platformsAgentOps communityLangChain orbitAI Engineer SummitAgent SDK builders

Vertical · platform · SDK builderBuilder + buyer dual-trackAEO + GEO citation per LLMAudit ledger per dollar

Pre-engagement diagnostic

Why most AI agent
marketing engagements stall.

Five patterns we see when an AI agent team shops for marketing help and the engagement reads as theatre inside the first quarter. Each row is the FORKOFF fix. Read it before you book the discovery call.

fk_audit · agent_engagement_reject_log.csv

#Reject reasonAudit detailFORKOFF fix

Row 0101
Reject reasonModel-citation gap
Audit detail
Buyers ask ChatGPT, Perplexity, Gemini, and Claude which agent handles their workflow. The category answer cites incumbents and open-source tooling. Your agent is missing from the recommendation.
FORKOFF fix
Fix
AEO citation work + answer-first long-form + per-LLM tracker. Agent gets named inside category-shortlist queries inside 60 days.
Row 0202
Reject reasonNo GEO surface
Audit detail
Generative engines pick agents to recommend based on schema, public benchmarks, and citation density. Pages with no Service schema, no published evals, and no llms.txt entry never enter the recommendation pool.
FORKOFF fix
Fix
GEO retainer covers schema graph, llms.txt publication, public eval pages, and per-engine citation share. Agent surfaces inside generative recommendations.
Row 0303
Reject reasonNo DevRel motion
Audit detail
Agent SDKs and integrations sell through builder trust. With no DevRel cadence, there is no LangChain talk, no AgentOps tutorial, no AI Engineer Summit slot, no docs polish. Builders adopt the agent next door.
FORKOFF fix
Fix
Embedded DevRel covers talks, hackathons, conference activations, and SDK reference content. Builder trust compounds into integration count and contributor PRs.
Row 0404
Reject reasonNo KOL coordination
Audit detail
AI-twitter cosigns matter for agent recall. Without coordinated KOL distribution the agent never lands inside the trusted-builder feed. Cold paid posts get scrolled past.
FORKOFF fix
Fix
Vetted KOL stack tuned to the agent vertical (vertical SDR, coding, ops, voice). Coordinated drops on demo cuts plus founder Q&As land in builder and buyer feeds together.
Row 0505
Reject reasonNo audit ledger
Audit detail
Demo cuts ship without traceability. Pipeline, integration signups, and contributor activity are not attributed to a specific arc, asset, or LLM citation. The agent looks busy and reads as flat to the founder.
FORKOFF fix
Fix
Audit-ledger receipts on cited LLMs, qualified-view share, sourced inbound, integration signups, and contributor count. Reported every Friday with the operator signature.

5 / 5 patterns auditedSource: FORKOFF agent engagement bankPre-application diagnostic

The 90-day operating system

From demo loop
to deployed agent customers.

The agent engagement runs on a single 90-day operating system anchored on the autonomy claim, the AEO + GEO citation surface, and the audit ledger receipt. Plan signed in week one. First unedited agent run by day 14. Audit-ledger receipt in the founder inbox every Friday from week six. Pair the spine with Answer Engine Optimization and GEO from week two so generative-engine citation compounds alongside.

01Days 0-14 · Diagnostic
02Days 14-30 · Spine
03Days 30-60 · Compound
04Days 60-90 · Scale

Audit.Foundation.Distribute.Settle.

FK · agent 90-day planLIVE

Day 0Application call

Day 5Scope signed

Day 14First agent run

Day 60Citations live

Day 90Scale call

$500

Sandbox audit fee

AUDIT BEFORE THE RETAINER · 14 DAYS

Run the audit before any retainer.

14-day agent-product diagnostic plus audit ledger. Surface the model-citation gap, scope the SDK + DevRel arc, lock the autonomy claim.

Audit fee credits to retainer if you continue past day 14.

Apply for the sandbox audit

The wedge

Capability slides lose.
Agent runs that compound win.

Generic AI marketing agencies sell capability decks, sponsored posts, and horizontal blog content. Influencer marketplaces sell single-shot cosigns. FORKOFF ships unedited agent runs, AEO + GEO citation work, DevRel motion, and vetted KOL coordination so generative engines cite the agent, buyers replay the runs, and builders integrate the SDK.

14Days to first unedited agent run

30+Cuts shipped per long-form arc

5Engagements per quarter (selective ICP)

Read the DevRel wedge

LIVEAudit ledger · agent engagement bench

Three numbers that decideif an agent engagement compounds.

0 days

First unedited agent run shipped end-to-end

From scope-signed to first published run. Locked into every 30/60/90 plan.

ChatGPT + Perplexity + Gemini + Claude. Per-LLM citation share reported on the audit ledger.

LLM platforms citing the agent inside 60 days

Pilot floor $2-5k. Routes to AEO, GEO, LLM SEO, DevRel, founder funnel, or marketing foundation.

Engagement band

$0-00k/qtr

Application-only · selective on ICPVertical · platform · SDK builderAudit ledger receipt every FridayScale-up or scale-down call at quarter end

Proof · agent product engagements

Three agent campaigns.Three audit-ledger receipts.

Every agent-product engagement compounds against a weekly receipt. Three short reads from SDK, vertical workflow, and multi-agent lanes.

AGENT SDK

Builder adoption, 14 days

Series A agent SDK. Failure-mode docs plus integration tutorials. Contributor PRs and SDK installs traceable to the DevRel arc.

14dFirst contributor PR

AGENT WORKFLOW

Qualified demos, 60 days

Vertical SDR agent. Unedited run cadence plus AEO citation work. Buyers replay runs before the demo call.

MULTI-AGENT

Recall lift, 90 days

Multi-agent orchestrator. Per-LLM citation tracker plus AgentOps activations. Recall lift on category-shortlist queries.

What plugs into the agent engagement

Four phases. Twenty
deliverables behind the seat.

PHASE 01[WEEK 1-2]

Strategy

Agent thesis locked, vertical chosen, citation surfaces mapped.

Deliverables (5)

▸Autonomy claim signed (single thesis)
▸Vertical hypothesis locked
▸AEO + GEO citation baseline captured
▸Per-LLM citation tracker live
▸Failure-mode honesty script drafted

PHASE 02[WEEK 3-6]

Production

Unedited agent runs, founder Q&As, DevRel artifacts in production.

Deliverables (5)

▸First unedited agent run published
▸Founder Q&A scoped + booked
▸Schema graph + llms.txt live
▸DevRel talks + tutorials drafted
▸Builder + buyer cut variants locked

PHASE 03[WEEK 6-10]

Distribution

30+ assets per long-form, 4-platform LLM citation pursuit.

Deliverables (5)

▸X demo cuts shipping weekly
▸LinkedIn buyer cuts shipping
▸YouTube receipts published
▸AgentOps + LangChain talks queued
▸Vetted KOL drops coordinated

PHASE 04[WEEK 10-13]

Settlement

Citation share, integration signups, ledger reported.

Deliverables (5)

▸Weekly audit-ledger receipt
▸Per-LLM citation share reported
▸Integration signups attributed
▸Contributor PR count tracked
▸Scale-up or scale-down decision

What counts on the agent recall ledger

What countsas agent recall.

An agent engagement is only working when four recall surfaces light up every week. Models recommend the agent on category queries, named buyers replay unedited runs before sales calls, builders adopt the SDK with contributor PRs, and AI funds cite the autonomy claim back unprompted. Impression growth without LLM citation share does not count. The audit ledger writes the four surfaces down on Friday with the operator signature.

Active check · MODELS RECOMMEND

1 / 4Recall surfaces the audit ledger checks every Friday. Models recommend, buyers trust, devs adopt, VCs back.

01 MODELS RECOMMEND

Generative engines name the agent on category queries.

MODELS RECOMMEND

ChatGPT, Perplexity, Gemini, and Claude cite the agent when buyers ask which agent handles their workflow. Per-LLM citation share tracked weekly on the audit ledger.

fk_audit · qv_check_01

rule · Generative engines name the agent on category queries.

BUYERS TRUST

Vertical buyers (legal, sales ops, finance, support) replay 8-minute end-to-end runs before booking. The demo conversation starts at the second question, not the first.

fk_audit · qv_check_02

rule · Named buyers replay unedited agent runs before the demo call.

DEVS ADOPT

AgentOps and LangChain orbit signal compounds into installs, integration count, and contributor activity. AI Engineer Summit and hackathon traction attributable to DevRel arcs.

fk_audit · qv_check_03

rule · Builders integrate the SDK and ship contributor PRs.

VCs BACK

AI-fund partners cite the agent in portfolio reviews, intro warm leads, and reference the autonomy claim verbatim. Backed by founder podcast appearances and vetted KOL cosigns inside the AI-twitter cluster.

fk_audit · qv_check_04

rule · Investors recall the agent unprompted in category conversations.

Counts on the receipt
Doesn't count

Outcomes the agent engagement unlocks

Citations, integrations,
and a real scale call.

Three agent campaigns across vertical SDR, coding agent, and AI ops orchestration. FORKOFF operators who owned the spine, scoped the demo cadence, ran the AEO + GEO citation work, and reported a weekly receipt the founder could read in two minutes. Read the longer write-ups inside our case-study hub.

5×

Qualified demos inside 60 days on a vertical SDR agent install. Unedited agent runs plus before-after pipeline cuts plus founder voice-over compounded into named buyer replays.

8 wk

From GitHub launch into recurring builder signal on a coding agent. Show HN spike plus 14-day clipping cycle plus AgentOps community handoff converted into compounding contributor and integration activity.

90

Days from kickoff to multi-agent narrative locked on an AI ops platform.

OWNED

You keep unedited footage, edits, masters, citation receipts, audience graph.

" " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " "

Operator note · agent product founder

“

FORKOFF locked the AEO spine in week one. By week six the agent was cited inside ChatGPT and Perplexity on category queries, and buyers were replaying runs before the demo call.

Founder · NDA-cleared placeholder

Series A agent app

4 / 4LLM platforms citing the agent

Comparison

FORKOFF agent engagement vs the alternatives.

Four routes to AI-agent recall. Match the engagement to your stage, your capital structure, and your willingness to commit to outcome-priced reporting before picking. Generic AI agencies, in-house headcount, and B2B SEO firms all lose on speed-to-first-asset and per-LLM citation transparency.

Feature	FORKOFF agent engagementEmbedded · outcome-priced · demo-led + AEO + DevRel	Generic AI marketing agencyHourly retainer · paid + horizontal content default	DIY in-house teamFull headcount · 6-month assembly	B2B SEO firmBacklinks + blog cadence · zero LLM citation work
Recall surface	Model recommendations + buyer recall + dev adoption + VC backing	Paid impressions + horizontal blog + sponsored posts	Whatever the new VP of Marketing prefers	Backlink count + Google rank position
AEO + GEO citation work	Schema graph + llms.txt + answer-first long-form + per-LLM tracker	Generic SEO content with no citation receipts	Depends on the senior hires you can land in 90 days	Backlinks-first; LLM citation often unaddressed
Demo proof surface	Unedited agent runs + failure-mode honest + founder voice-over	Capability slides + sponsored posts + undisclosed bot mix	Typically polished sales-enablement, no public proof	Not in scope; SEO firm does not produce demos
Builder distribution	X primary + AgentOps + LangChain talks + AI Engineer Summit + GitHub	LinkedIn ads + horizontal newsletters; no builder trust	Tenure variance; depends on senior hire	Backlink outreach to dev blogs; not community-based
Engagement model	Embedded retainer, outcome-priced on cited LLMs + sourced inbound	Hourly retainer, output-priced on post count	Salary + equity + benefits + ramp + tenure variance	Monthly retainer, output-priced on link count
Speed to first asset	First unedited agent run in market by day 14	Week 8 first generic blog post live	Roughly 90-180 days, gated on hiring	Week 4 first link placement, no demo
Reporting surface	Weekly audit-ledger on cited LLMs + sourced inbound + integrations + contributors	Monthly dashboard with pixel-tracked impressions and last-touch credit	Quarterly board deck; vanity metrics during ramp	Monthly link-count + ranking-position report

Agent engagement plans

Three routesfor AI agent products.

Foundation, retainer, or builder-trust seat. Match the engagement to the agent product stage. By application, capped at 5 per quarter.

Marketing Foundation

Positioning + ICP grid + voice canon

$5-10k/project

Autonomy-claim statement
3-5 ICP grid
Voice canon doc
Channel-fit table
Notion deliverable

Apply for Foundation

Most picked

Fractional CMO

Embedded retainer · operator seat

$15-30k/qtr

Embedded operator
Audit ledger weekly
AEO + GEO cadence
Quarterly scale call
Pipeline traceability

Apply for Fractional CMO

DevRel

Builder-trust axis · SDK adoption arc

$12-24k/qtr

Conference + talk circuit
AgentOps + LangChain reach
SDK reference content
Hackathon activations
Contributor cadence

Apply for DevRel

Note ·Pilot floor $2-5k applies to the first cycle. Engagements scope-locked, not retainer guesswork.

Agent engagement fit diagnostic

Strong fit when 4+ are true.
Skip when any disqualifier fires.

Who you are

›Shipping a vertical AI agent (SDR, coding, ops, voice, legal, finance) or a multi-agent orchestrator with paying or design-partner buyers
›Founder willing to record one unedited agent run per week and front a long-form Q&A per month
›Real product running for at least one paying or design-partner customer (no research-only)
›Commercial moment in the next 90 days (closed beta, demo day, GA, marketplace launch, Series A)
›Cares about model recall and builder trust, not impression counts
›Already producing demo content but engagement is small builder circles with no LLM citation share

What FORKOFF delivers

›Embedded operator who owns the autonomy-claim spine and runs weekly cadence with the founder
›Unedited agent run cadence + AEO + GEO citation work + DevRel motion plugged in behind the seat
›30/60/90 plan signed in week one with audit-ledger baseline captured
›X demo cuts + LinkedIn buyer cuts + YouTube receipts + founder Q&As + AgentOps + LangChain talks
›Weekly audit-ledger receipt on cited LLMs, sourced inbound, integration signups, contributor PRs
›Routes to /services/answer-engine-optimization, /services/geo, /services/llm-seo, /services/devrel, /services/founder-funnel, /services/marketing-foundation based on the agent stage

Not the right fit

×Pre-product agents with no funded path to first paying or design-partner buyer in 12 months
×Founders who will not commit to weekly unedited demo cadence (one run per week)
×Research-only agents with no commercial path inside 12 months
×Pure paid-acquisition mandates with no demo-led narrative or AEO citation work
×Cannot show a working agent end-to-end on the first call (no live run, no recorded run)

Apply for the engagement

$2-5k pilot floor · routes to AEO, GEO, LLM SEO, DevRel, founder funnel, foundation

FORKOFF runs the agent engagement as an embedded retainer with the FORKOFF execution stack plugged in behind it. By application, capped at 5 engagements per quarter, selective on ICP. Pilot floor is $2,000 to $5,000 depending on the service stack chosen. Most agent teams route into an AEO retainer, a GEO retainer, a DevRel retainer, a Founder Funnel retainer, or a Marketing Foundation project after the diagnostic.

01Sandbox
02Engagement
03Compound

By application

Apply for the engagement

Markets we run this in

Agent engagements compound where builders cluster. We anchor the cadence inside San Francisco for AI Engineer + AgentOps recall, then route enterprise distribution through New York GTM once procurement opens.

Related lanes

Sister ICPsand routing services.

01 / 03Open

AI Startups

Sister ICP. AI-native company axis.

02 / 03Open

Dev Tools

Adjacent ICP. Developer-first product axis.

03 / 03Open

DevRel service

Builder-trust layer for agent SDK teams.

Frequently asked questions

Agent buyers reject capability slides and reward unedited agent runs. The wedge is demo-led plus AEO citation: ship the agent run end-to-end, voice-over the failure modes, repeat at cadence, and earn citations inside ChatGPT and Perplexity for category queries. AI-startup marketing leans on founder authority and technical thesis at the company level; agent-product marketing leans on the agent doing the talking and the model citing it back. Channel weighting also shifts: AgentOps, LangChain, and YouTube long-form rise, paid social falls.

Engagements run $5,000 to $50,000 per quarter depending on the service stack chosen. Pilot floor is $2,000 to $5,000. Common shapes are an Answer Engine Optimization sandbox plus retainer ($1.5-3K sandbox plus $4-7K per month), a Founder Funnel retainer ($4-7K per month, 90-day minimum), a DevRel retainer ($4-8K per month, 90-day minimum), or a Marketing Foundation project ($5-10K fixed scope). All by application, capped at five engagements per quarter.

We anchor on cited-LLM share, qualified demo requests, integration signups, contributor PRs, and design-partner conversion depending on the lead wedge. Per-clip and CPM models do not apply. Vertical-agent teams typically anchor on cited-LLM share plus qualified demos. Coding agents anchor on contributor and integration counts. Multi-agent platforms anchor on builder-side and buyer-side liquidity together.

The brand line

Stop pitching agent vibes.
Ship the run buyers replay.

30/60/90 cadence. First unedited agent run by day 14. AEO + GEO citation work running from week two. Audit-ledger receipt from week six. Built for AI-agent products that need recall on four surfaces at once, not impressions. Pair the seat with Answer Engine Optimization, GEO, LLM SEO, DevRel, Founder Funnel, or Marketing Foundation depending on your agent stage. Browse all FORKOFF ICPs if AI agents is not the closest fit.

Talk to FORKOFF

Browse all services

From the FORKOFF blog

Receipts, deep dives, and playbooks.

Read all

ETH NYC 2026 Activation Playbook: The 3-Week Motion

ETH NYC 2026 hits June 8 to 14 (ETHConf + ETHGlobal NY). The 3-week activation playbook that lifted sponsor day-30 dev activations 8.9x across 11 audited teams.

By FORKOFF

Read

How to Clip on Twitch: Desktop, Mobile, OBS, and Vertical Re-Cuts

Step-by-step Twitch clipping for desktop, mobile, and OBS plus the vertical re-cut workflow that earns qualified views off-platform.

By Forkoff Team

Read

Best AI Video Editor 2026: 9 Tools Ranked Honestly

Compare the 9 best AI video editors of 2026 on pricing, qualified-view economics, audit ledger, and ICP fit. Apply now to test the managed lane.

By Forkoff Team

Read

Pricing the qualified view

From demo loop
to deployed agent customers.

Capability slides lose.
Agent runs that compound win.

What countsas agent recall.

Citations, integrations,
and a real scale call.

Feature

FORKOFF agent engagementEmbedded · outcome-priced · demo-led + AEO + DevRel

Generic AI marketing agencyHourly retainer · paid + horizontal content default

DIY in-house teamFull headcount · 6-month assembly

B2B SEO firmBacklinks + blog cadence · zero LLM citation work

Recall surface

Model recommendations + buyer recall + dev adoption + VC backing

Paid impressions + horizontal blog + sponsored posts

Whatever the new VP of Marketing prefers

Backlink count + Google rank position

AEO + GEO citation work

Schema graph + llms.txt + answer-first long-form + per-LLM tracker

Generic SEO content with no citation receipts

Depends on the senior hires you can land in 90 days

Backlinks-first; LLM citation often unaddressed

Demo proof surface

Unedited agent runs + failure-mode honest + founder voice-over

Capability slides + sponsored posts + undisclosed bot mix

Typically polished sales-enablement, no public proof

Not in scope; SEO firm does not produce demos

Builder distribution

X primary + AgentOps + LangChain talks + AI Engineer Summit + GitHub

LinkedIn ads + horizontal newsletters; no builder trust

Tenure variance; depends on senior hire

Backlink outreach to dev blogs; not community-based

Engagement model

Embedded retainer, outcome-priced on cited LLMs + sourced inbound

Hourly retainer, output-priced on post count

Salary + equity + benefits + ramp + tenure variance

Monthly retainer, output-priced on link count

Speed to first asset

First unedited agent run in market by day 14

Week 8 first generic blog post live

Roughly 90-180 days, gated on hiring

Week 4 first link placement, no demo

Reporting surface

Weekly audit-ledger on cited LLMs + sourced inbound + integrations + contributors

Monthly dashboard with pixel-tracked impressions and last-touch credit

Quarterly board deck; vanity metrics during ramp

Monthly link-count + ranking-position report

Frequently asked questions

Stop pitching agent vibes.
Ship the run buyers replay.

Marketing AI agents thatmodels recommend.

Why most AI agentmarketing engagements stall.

From demo loopto deployed agent customers.

Audit.Foundation.Distribute.Settle.

Audit

Foundation

Distribute

Settle

Run the audit before any retainer.

Capability slides lose.Agent runs that compound win.

Three numbers that decideif an agent engagement compounds.

Three agent campaigns.Three audit-ledger receipts.

Builder adoption, 14 days

Qualified demos, 60 days

Recall lift, 90 days

Four phases. Twentydeliverables behind the seat.

Deliverables (5)

Deliverables (5)

Deliverables (5)

Deliverables (5)

What countsas agent recall.

MODELS RECOMMEND

BUYERS TRUST

DEVS ADOPT

VCs BACK

Citations, integrations,and a real scale call.

5×

8 wk

90

OWNED

FORKOFF agent engagement vs the alternatives.

Three routesfor AI agent products.

Marketing Foundation

Fractional CMO

DevRel

Strong fit when 4+ are true.Skip when any disqualifier fires.

$2-5k pilot floor · routes to AEO, GEO, LLM SEO, DevRel, founder funnel, foundation

Sister ICPsand routing services.

AI Startups

Dev Tools

DevRel service

Frequently asked questions

Stop pitching agent vibes.Ship the run buyers replay.

Receipts, deep dives, and playbooks.

ETH NYC 2026 Activation Playbook: The 3-Week Motion

How to Clip on Twitch: Desktop, Mobile, OBS, and Vertical Re-Cuts

Best AI Video Editor 2026: 9 Tools Ranked Honestly

Marketing AI agents thatmodels recommend.

Why most AI agentmarketing engagements stall.

From demo loopto deployed agent customers.

Audit.Foundation.Distribute.Settle.

Audit

Foundation

Distribute

Settle

Run the audit before any retainer.

Capability slides lose.Agent runs that compound win.

Three numbers that decideif an agent engagement compounds.

Three agent campaigns.Three audit-ledger receipts.

Builder adoption, 14 days

Qualified demos, 60 days

Recall lift, 90 days

Four phases. Twentydeliverables behind the seat.

Deliverables (5)

Deliverables (5)

Deliverables (5)

Deliverables (5)

What countsas agent recall.

MODELS RECOMMEND

BUYERS TRUST

DEVS ADOPT

VCs BACK

Citations, integrations,and a real scale call.

5×

8 wk

90

OWNED

FORKOFF agent engagement vs the alternatives.

Three routesfor AI agent products.

Marketing Foundation

Why most AI agent
marketing engagements stall.

From demo loop
to deployed agent customers.

Capability slides lose.
Agent runs that compound win.

Four phases. Twenty
deliverables behind the seat.

Citations, integrations,
and a real scale call.

Strong fit when 4+ are true.
Skip when any disqualifier fires.

Stop pitching agent vibes.
Ship the run buyers replay.

Why most AI agent
marketing engagements stall.

From demo loop
to deployed agent customers.

Capability slides lose.
Agent runs that compound win.

Four phases. Twenty
deliverables behind the seat.

Citations, integrations,
and a real scale call.

Strong fit when 4+ are true.
Skip when any disqualifier fires.

Stop pitching agent vibes.
Ship the run buyers replay.