The AI-native founder
Shipping an LLM wrapper, agent, or copilot. Need to know if buyers find you in ChatGPT before you raise your seed.
Start withAgentlens · Full Audit $149then Mentioned Starter $99/mo once you ship the first three fixes.
Verified MemberClaude Partner NetworkAnthropic
Built for the ChatGPT era.
The venture lab behind Mentioned AI, Agentlens, and the Co-Builder program. AI-native distribution, self-serve from $99 a month. Run the audit. Pick the tier. Or co-build with us. Three doors. One operating system.
Founder-led. No SDR funnel. The people who built it are the people you talk to.
24-hour trial · no credit card · cancel anytime · self-serve from $99/mo
01 / ENG
Content Systems Engineering
compounding_output()
02 / ENG
Community Growth Engineering
network_effects()
03 / ENG
GTM Engineering
pipeline_as_code()
04 / ENG
Context Engineering
inference_surface()
05 / ENG
Intent-Driven Engineering
signal_graph()
Compounding SystemsSignal-First GTMContext-Over-CopyIntent GraphDeliverables, Not DecksEngineered CommunityCompounding SystemsSignal-First GTMContext-Over-CopyIntent GraphDeliverables, Not DecksEngineered Community
5
OPERATING PILLARS
4
ENGINES TRACKED DAILY
24h
TRIAL · NO CREDIT CARD
$99/mo
SELF-SERVE FROM
1-2
CO-BUILDS / QUARTER
01 / The Thesis
Marketing stopped being marketing.
The best teams now engineer it.
In the AI era, content is cheap, attention is auctioned, and every template has been copied. The operators pulling ahead stopped treating growth as a series of campaigns and started treating it as a system: auditable, compounding, version-controlled. AVL builds that system.
Content became a commodity.
Anyone can publish a post. Nobody can publish your angle, repeatedly, at a cadence that compounds. The moat is the system, not the sentence.
Community became a vanity metric.
Follower counts are a lagging indicator for everything that matters. Real growth happens when members ship, refer, and defend the product without being asked.
GTM became a template.
The same playbook shipped ten thousand times. We rebuild GTM as a signal-driven machine. Intent in, revenue out, observable at every step.
02 / Products
Engineered. Self-serve.
Available now.
AVL also publishes self-serve audit instruments. One-time purchase, deploy-ready output. The same engineering rigor as a full engagement, packaged for teams who want a sharp answer fast.
Live
Agentlens
Know where you stand in 10 minutes.
The diagnostic entry into the AVL operating system. We grade your site against how ChatGPT, Claude, Perplexity, and Gemini actually read it, score it across the Five Pillars, and hand back a 30/60/90 roadmap with deploy-ready code. Then step into Mentioned AI to run the loop daily.
- Composite score across the Five Pillars with category percentile
- Live transcripts from every major engine, with the exact citation gaps named
- 30/60/90 roadmap with deploy-ready code, and a clean path into Mentioned AI
Scan · $49Full Audit · $149One-time purchase
From $49 · one-time
Run an auditLive
Mentioned AI
Close the loop, every morning.
The AI Visibility Operating System for lean B2B teams and AI-native builders. Daily tracking across ChatGPT, Claude, Perplexity, and Gemini, ready-to-paste Citation-Lift fixes, voice-matched LinkedIn and X drafts, AEO-calibrated backlinks, and the Operating Score across all Five Pillars. The agency model, as a product.
- Citation-Lift suggestions ready to paste into any CMS
- Voice-matched LinkedIn + X drafts ranked by documented cite-rate priors
- Performance Dashboard with 30-day trend + competitor velocity
Starter · $99/moGrowth · $249/moScale · $499/mo
From $99/mo · 24-hour trial
Start trial§ Which one is for you?
Agentlens diagnoses. Mentioned AI runs the loop.
Same operating frame, different time-horizon. Most teams run Agentlens once to know where they stand and Mentioned AI continuously to compound. Find your persona below for the sharp answer.
The head of growth
$5M to $30M ARR B2B SaaS. Already paying Ahrefs. Buyer-discovery is migrating to AI engines and your CEO is asking why.
Go straight toMentioned Growth · $249/moSkip the audit. You already know the answer. Open the loop and start clearing the Citation-Lift queue.
The technical CMO
Has a hypothesis. Wants the data to validate before pitching the board on AEO as a new line item.
Run the auditAgentlens · Full Audit $149The PDF is forward-up-friendly. Use it to win the budget conversation, then upgrade the team to Mentioned for execution.
The boutique agency
Running 5 to 20 client brands. Looking for the self-serve stack to deliver AEO inside your existing retainer.
Stack bothAgentlens audit per client+ Mentioned Scale $499/mo per workspace. The audit lands the engagement; Mentioned runs it.
The early-stage VC
Watching 8 to 25 portfolio companies. Need an AI-visibility heatmap without asking founders to install anything.
Order a batch ofAgentlens Scans · $49 eachOne scan per portco. Compare the composites. Surface the laggards to the partner meeting. Mentioned for the ones ready to act.
The pre-product founder
Has an AI-native idea, no MVP yet. Wants AVL as a technical and growth co-founder, not a vendor.
Apply toThe Co-Builder program1 to 2 slots per quarter. AVL contributes engineering capacity and network access in exchange for equity or structured partnership.
Rule of thumb: if you can describe your AEO gap in one sentence, skip the audit and go to Mentioned. If you can't, run Agentlens first. If your gap is “I don't have a product yet,” the Co-Builder program is the door.
Active co-builds1 live
Prodigy Construction × AVL
Visit live Keystone
Cash flow and job profitability for construction contractors who run finance themselves. Built for the owner-operator who waits 90 days to get paid while payroll hits every two weeks.
- Weekly cash position with 13-week forecasting and payroll alerts.
- Job profitability tracking that surfaces over-budget projects early.
- Payer intelligence scoring that prioritizes collection effort.
- Automated bill coding from photos or PDFs, exportable to PDF weekly.
02+ / Active co-builds
Shipped product, not a deck.
Co-builds AVL is actively shipping with founders today. Each card links to the live product. We add cards as new co-builds reach live state, not before.
03 / How AVL is Different
Not a SaaS demo. Not an agency.
Not a consulting deck.
AVL is a venture lab, not a SaaS company or an agency. The agency rigor is built into Mentioned AI. Today most teams running AEO choose between DIY (blog-driven, prompts tried by hand), a boutique agency (slow, retainer-bound, no real measurement), or an enterprise platform (sales-led onramp, six-figure contracts). AVL is the venture-lab alternative: Agentlens as the one-time diagnostic ($49 Scan / $149 Full Audit), Mentioned AI as the daily operating system ($99-$499/mo, self-serve), and the Co-Builder program for founders who want a partner, not a vendor.
DIY / BLOG-DRIVEN
BOUTIQUE AGENCY
ENTERPRISE PLATFORM
AVL · MENTIONED AI
Time to first signal
Weeks of guessing
4 to 8 weeks (intake + audit)
2 to 6 weeks (procurement + onboarding)
Same day · first tracker run in hours
Daily citation tracking
Manual, sporadic, no history
Monthly report, lagging
Daily across all four engines
Daily across all four engines
The fix layer
You write it from scratch
Junior copywriter drafts in 5 days
Insight only · no execution
Ready-to-paste content, LinkedIn, X drafts
Backlinks at AEO weights
DR-based, mostly wrong for AEO
Ahrefs-prior outreach
Not in the platform
LLM cite-rate priored + outreach drafts
Pricing
Free, but the work is your time
$5K to $15K/mo retainer
$50K+/yr enterprise contract
$99 to $499/mo, self-serve, cancel anytime
Who runs the loop
You, alone
The agency, behind a black box
You, after onboarding
You + the platform agent · Cmd-K to anything
Get started
Read this Medium post
Book the discovery call
Speak to sales
24-hour trial, no credit card
04 / The Engineering Stack
Five disciplines.
One operating model.
Each layer is measurable, handoff-able, and designed to compound. You leave an engagement with a system your team can run without us. Not a retainer you cannot cancel.
[ 01 ]
Content Systems
Engineering.
COMPOUND_OUTPUTWhat is Content Systems Engineering?
Content Systems Engineering is the practice of treating content production as instrumented software rather than a series of campaigns. Instead of shipping one-off posts, a content system is a thesis-to-distribution loop where every asset is versioned, every surface is measured, and outputs compound because the system learns from its own signals.
Stop producing content. Start producing a content machine. We architect a thesis → narrative → format → distribution loop that publishes itself at a cadence agencies cannot match and your competitors cannot reverse-engineer.
Every piece is instrumented. Every instrument feeds the next piece. Outputs get sharper with every cycle, not more generic.
narrative_oseditorial_enginedistribution_loopseo+geo_mapasset_library
[ 02 ]
Community Growth
Engineering.
NETWORK_EFFECTSWhat is Community Growth Engineering?
Community Growth Engineering is the discipline of designing the rituals, roles, and incentives that turn a member base into a self-propelling network. It treats community as infrastructure, with onboarding ladders, contribution surfaces, status hierarchies, and advocate pipelines, rather than as an event calendar or a vanity follower count.
Communities are infrastructure, not events. We engineer the rituals, roles, and incentives that turn a member base into a self-propelling network. Members refer, ship, and build on top of what you make.
Everything is designed for compounding trust: onboarding flows, status hierarchies, contribution surfaces, and the quiet tripwires that surface your next 100 power users.
onboarding_ladderritual_calendarcontribution_graphadvocate_pipelineugc_engine
[ 03 ]
GTM Engineering.
PIPELINE_AS_CODEWhat is GTM Engineering?
GTM Engineering is the rebuild of go-to-market motion as instrumented software. It replaces campaign-based playbooks with a system of ICP schemas, intent waterfalls, outbound-as-code, PLG loops, and attribution pipelines. Pipeline becomes observable, testable, and version-controlled in the same way production software is.
Your go-to-market should not live in a deck. It should live in a system: signals flowing in, touchpoints orchestrated, revenue attributable. We rebuild the stack from ICP schema to outbound motion to PLG funnel, as instrumented software.
Think SRE for sales. Observability for every stage. The question “what is working?” stops being a guess.
icp_schemaintent_waterfalloutbound_as_codeplg_loopsattribution_stack
[ 04 ]
Context Engineering.
INFERENCE_SURFACEWhat is Context Engineering?
Context Engineering is the design of the prompts, retrievals, evaluations, and agent workflows that make AI a reliable teammate. It turns institutional knowledge (positioning, voice, product truth, customer data) into a queryable library so every function that touches a customer inherits the same source of truth instead of rewriting it from scratch.
AI is a force multiplier for whichever team feeds it the best context. We design the prompts, retrievals, evals, and agent workflows that turn your brain trust into on-demand leverage for every function that touches the customer.
Your team stops rewriting the same brief. The model stops hallucinating your positioning. Everything you know becomes everything you ship.
context_libraryprompt_primitivesretrieval_stackeval_harnessagent_workflows
[ 05 ]
Intent-Driven
Engineering.
SIGNAL_GRAPHWhat is Intent-Driven Engineering?
Intent-Driven Engineering is the construction of a signal graph that maps who is researching, hiring, funding, shipping, or struggling in a given market, and routes each signal to the exact motion that converts it. It replaces cold targeting with earned outreach, because every touch starts with an observable, time-stamped intent signal rather than a demographic guess.
Targeting is over. Intent is the unit of growth. We build the signal graph that maps who is researching, hiring, funding, shipping, or struggling, and routes that signal to the exact motion that converts it.
Outbound stops feeling like spam. Content stops feeling like content. Every touch is earned, because every touch starts with an observable intent.
signal_sourcesintent_graphtrigger_routingwarm_outboundrevenue_attribution
05 / Operating Protocol
How we actually work.
The AVL Protocol.
Every engagement runs through four phases. No discovery calls that go nowhere. No slide decks that get printed once. We ship a live system in weeks, not a strategy document in months.
avl-protocol · engagement.run · v4.1
$ avl diagnose --target=acme_co --depth=full
→ auditing content_systems · 14 signals captured
→ auditing community_graph · 3 loops broken
→ auditing gtm_stack · 47% of pipeline unattributed
→ KILL SHOT: ICP signal ignored for 11 months. $2.4M missed.
$ avl architect --horizon=Q1 --ship-day=14
✓ narrative_os drafted
✓ intent_graph wired · 12 signal sources online
✓ context_library v0.1 deployed to team
$ avl compound --duration=90d
status: live · owner: your_team · cadence: weekly_review
→ auditing content_systems · 14 signals captured
→ auditing community_graph · 3 loops broken
→ auditing gtm_stack · 47% of pipeline unattributed
→ KILL SHOT: ICP signal ignored for 11 months. $2.4M missed.
$ avl architect --horizon=Q1 --ship-day=14
✓ narrative_os drafted
✓ intent_graph wired · 12 signal sources online
✓ context_library v0.1 deployed to team
$ avl compound --duration=90d
status: live · owner: your_team · cadence: weekly_review
PHASE 01
›
Diagnose
Two-week audit of every signal, surface, and funnel. We find the leaks, the dead loops, and the one unfair advantage nobody on your team sees yet.
PHASE 02
›
Architect
We design the system on a whiteboard with your team. No agency firewall. You see every decision, every tradeoff, and every piece of the stack before it ships.
PHASE 03
›
Deploy
We ship the first working version in 14 to 30 days. Real content in-market. Real pipeline in motion. Real agents running. No sandbox theater.
PHASE 04
›
Compound
We transition to your team with the runbook, the context library, and the dashboards. We stay on as a weekly operator, or we leave clean. Your call.
06 / Deliverables
Deliverables, not decks.
Everything we build is a living system with an owner on your team. You can audit it, fork it, break it, and extend it. No black boxes. No retainers disguised as IP.
SHIP_01
Narrative OS
- Category thesis and positioning canon
- Messaging architecture, version-controlled
- Proof points and receipts library
SHIP_02
Content Engine
- Editorial calendar and format templates
- Research → draft → distribute pipeline
- SEO, GEO, and social surface map
SHIP_03
Community Stack
- Onboarding ladder and role system
- Ritual calendar and program design
- Advocate and UGC pipeline
SHIP_04
GTM System
- ICP schema and intent waterfall
- Outbound-as-code sequences
- PLG loops and attribution stack
SHIP_05
Context Library
- Prompt primitives and eval harness
- Retrieval stack and RAG pipelines
- Agent workflows for GTM and content
SHIP_06
Intent Graph
- Signal sources and trigger routing
- Warm outbound orchestration
- Revenue and pipeline attribution
07 / Who It is For
We are built for one kind of operator.
If you are looking for a generalist agency, we are the wrong call. If you have outgrown vendors, templates, and playbooks, and you need the next layer of leverage, keep reading.
- ✓
Founders and heads-of-growth at $1M to $50M ARR
You have found product-market fit. Now you need a system that does not collapse when you scale the team.
- ✓
Technical operators allergic to fluff
You would rather see a dashboard than a deck. You measure everything. You have already replaced three agencies this year.
- ✓
Teams adopting AI faster than their stack can keep up
You are shipping agents in product but your content and GTM still run on 2019 playbooks. We close the gap.
- ×
Anyone looking for a content mill
If cost-per-word is your primary metric, we are expensive. Hire a freelancer.
- ×
Pre-revenue ideas without a point of view
We amplify operators who have earned the right to be loud. We do not manufacture that right.
AVL / 2026 · OPERATING MODEL
Self-serve by default.
Bespoke by exception.
Most teams self-serve Mentioned AI from $49 a month. The Co-Builder program is reserved for one to two pre-product founders per quarter who want AVL on the cap table, not on a SOW. Custom engagements are available on request when the scope genuinely warrants it. Transparent pricing. No retainer trap.
$49/mo
SELF-SERVE FROM
24 hours
TRIAL · NO CARD
1-2/quarter
CO-BUILDS TAKEN
100%
FOUNDER-LED
08 / Co-Build
Got a great idea?
We do not just advise. We co-build.
AVL is not only a services lab. If you are a founder sitting on a sharp idea, an MVP that is showing signal, or a post-MVP product that needs the right partners to scale, we want to hear from you. We selectively co-build with founders as operators, ecosystem connectors, and technical partners. Not passive investors.
What is AVL's Co-Builder model?
AVL's Co-Builder model is a selective partnership where Anthony Venture Labs joins a founding team as an active co-builder. AVL contributes engineering capacity, growth systems, and ecosystem connections in exchange for equity or structured partnership. Unlike traditional advisors or investors, AVL operates as a hands-on technical partner who ships alongside the founder from day one.
Co-Builder
We roll up our sleeves and build with you. Not advice from the sideline. Actual system design, engineering, and GTM architecture shipped alongside your team. Skin in the game, shared outcomes.
Ecosystem Connector
We plug you into our network of operators, technical talent, distribution partners, and capital. The right introduction at the right stage can compress 18 months into 3. We make those introductions deliberately.
Technical Partner
We bring the engineering stack: content systems, community infrastructure, GTM pipelines, AI context layers, intent graphs. You do not have to build growth infrastructure from scratch while also building your product.
Signal-First Selection
We do not co-build based on decks or TAM slides. We look for real signal: users pulling the product forward, a founder with earned conviction, a wedge that compounds. If it is there, we move fast.
IDEAPre-product
Sharp thesis, no product yet.
You have a clear point of view, domain expertise, and the conviction to go all-in. AVL validates the wedge, architects the initial system, and helps you ship v0 in weeks. Not months. We bring the GTM and growth layer so you stay focused on the product.
MVPEarly signal
Product exists. Users are pulling.
You have shipped something and the early signs are there: retention, organic word-of-mouth, or a handful of customers who will not shut up about you. AVL layers in the growth system: content engine, community stack, and outbound pipeline so the signal compounds instead of plateauing.
POST-MVPScaling
Product-market fit earned. Time to scale.
You have found the wedge and proven it. Now you need the infrastructure to grow without breaking: GTM engineering, intent-driven outbound, context engineering for your team's AI workflows, and an ecosystem of partners who amplify your distribution. AVL becomes the growth co-founder you did not hire.
Pitch your idea to AVL →Selective · 1 to 2 co-builds per quarter
09 / FAQ
The questions everyone asks.
No. Agencies sell hours and decks. We sell systems your team ends up owning. Every engagement has a clear ship day, a working deliverable in-market, and a transfer plan from day one. If we cannot hand the keys back to your team at 90 days, we did not do our job.
Agentlens is AVL's self-serve audit instrument. It measures how ChatGPT, Claude, Perplexity, and Gemini read, parse, and cite your business website, then generates a remediation roadmap with deploy-ready code. Two SKUs: Scan ($49) and Full Audit ($149). One-time purchase. Agentlens is the entry-point product into the AVL stack. Engagements pick up where Agentlens leaves off.
Because the word matters. Engineering implies specs, tests, observability, version control, and compounding leverage. Marketing, as most teams practice it, implies none of those things. The shift in language is the shift in outcome.
Engagements are priced by scope, not by hour. A single-pillar build (for example, just Content Systems Engineering) typically runs a mid-five-figure deposit plus a 90-day delivery fee. A full five-pillar stack is materially more. Pricing is transparent and provided in writing before the engagement-fit call concludes.
Yes, and most teams do. The five disciplines are modular. Most engagements start with the pillar that is leaking the most, usually GTM or Content, and expand from there once the first system is live and compounding.
Never. We multiply your in-house team. The whole point is that your people end up running the system we built, with better leverage than they had before we showed up. If your team is under-resourced, we help you hire. We do not become a permanent replacement.
You could build most of it yourself. The question is whether you want to spend 6 to 18 months learning the ropes while your competitors ship. We have already made the mistakes. You buy the compression of time.
Selectively. We take on 1 to 2 pre-scale startups per quarter at a reduced scope. Typically founder-led companies with clear conviction, real signal, and a willingness to be built in public. Apply and we will be direct about fit.
AVL selectively co-builds with founders at the idea, MVP, or post-MVP stage. We join as an active technical partner, contributing growth engineering, ecosystem connections, and GTM infrastructure in exchange for equity or structured partnership. We are not advisors who send emails. We ship alongside you. We take on 1 to 2 co-builds per quarter and selection is based on real signal: user pull, founder conviction, and a wedge that compounds.
A content agency sells writing: hours, words, deliverables. A content system is instrumented infrastructure: a thesis → narrative → format → distribution loop that compounds. When the agency stops, output stops. When a content system is built, it runs, learns, and improves whether AVL is involved or not. The difference is ownership. AVL builds the machine and hands you the keys. An agency rents you the labor and keeps the dependency.
A growth agency executes campaigns on your behalf, typically one channel (SEO, paid, social) with a monthly retainer and no exit plan. A venture lab engineers systems across multiple disciplines, ships working infrastructure your team owns, and has a built-in exit date. AVL also selectively co-builds with founders at the equity level, something no agency does. The relationship is closer to a fractional growth co-founder than a vendor.
A 30-minute structured call where AVL walks through your current growth stack across all five disciplines and identifies which pillar is leaking the most value. You leave knowing where your content, community, GTM, context, or intent infrastructure has the biggest gaps and what the first system to build would be. No pitch deck required. AVL uses the call to evaluate fit, you use it to map what to fix first. If the engagement proceeds, terms and pricing follow within 48 hours.
Q2 2026 · Accepting new engagements
Stop creating.
Start engineering.
Apply for an engagement. A 30-minute structured fit call, no pitch deck. You leave knowing exactly which of the five disciplines is leaking the most value, whether you work with AVL or not.