Editorial

Insights

Long-form analyst writing on the AI-native GTM stack: market maps, deep dives, battle cards, funding analysis, and quarterly state-of reports.

Best Practice

Why Most AI SDRs Fail (and the 3 Patterns That Don’t)

An honest assessment of why most AI SDR deployments fail to deliver on their pipeline promises — and what the deployments that…

Apr 30, 2026
Best Practice

What to Measure in a GTM Stack Audit

A practical framework for auditing your GTM technology stack using eight metrics that surface cost waste, integration failures, and tools your team…

Apr 30, 2026
Best Practice

Choosing Your CRM at Seed Stage

A decision framework for seed-stage founders choosing their first CRM — before the choice locks in your data model, your team's habits,…

Apr 30, 2026
Best Practice

How to Vet a GTM Tool in 30 Minutes

A structured 30-minute framework for evaluating a GTM tool before committing time to a full trial or sales process. Five phases: five…

Apr 30, 2026
Playbook

Building a Forecast Confidence Layer on Top of HubSpot with Claude

A practical guide to replacing gut-feel deal forecasting with an AI-powered confidence scoring layer built on Claude's API and HubSpot's engagement data.…

Apr 30, 2026
Playbook

Sequencing on LinkedIn with HeyReach

A step-by-step guide to running LinkedIn outreach at scale with HeyReach — multi-account setup, audience building from Sales Navigator searches, a three-touch…

Apr 30, 2026
Playbook

Running a 30-Day Cold Outbound Campaign with Smartlead

A day-by-day operational playbook for launching a cold outbound campaign with Smartlead — from domain warmup on day one through hitting full…

Apr 30, 2026
Deep Dive

GTM Stack Movements: April 2026

What practitioners are actually saying about the AI-native GTM stack this month: the Apollo→Clay→Smartlead consensus is hardening, three new agentic platforms (Manus…

Apr 30, 2026
State Of

State of AI GTM Q2 2026: The Year the Harness Cracked

Five shifts define AI GTM in Q2 2026. First, the AI SDR 1.0 cohort — 11x, Aisdr.com, Piper — is posting churn…

Apr 30, 2026
Playbook

Detecting Deanonymized Website Visitors with RB2B

A step-by-step guide to installing RB2B's deanonymization pixel, configuring Slack alerts for ICP-fit visitor identification, enriching identified visitors via Clay or Apollo,…

Apr 30, 2026
Playbook

Routing Inbound Demo Requests with Default + Slack

A step-by-step guide to building a responsive inbound routing system using Default's form infrastructure, ICP scoring on firmographic and intent signals, Slack-based…

Apr 30, 2026
Playbook

Building a Waterfall Enrichment Workflow in Clay

A step-by-step guide to chaining Apollo, ZoomInfo, People Data Labs, web search, and Claude inference in Clay to maximize contact enrichment coverage…

Apr 30, 2026
Claude For Gtm

Claude Capability Tracker (Q2 2026)

What actually shipped in Anthropic's Q1–Q2 2026 model releases that matters for GTM teams: the 4.x model family, Opus 4.7 with 1M…

Apr 30, 2026
Market Map

AI GTM Market Map Q2 2026

The definitive analyst view of the AI-native GTM stack in Q2 2026: nine categories, 60+ named vendors, M&A activity since Q4 2025,…

Apr 30, 2026
Claude For Gtm

Claude vs. GPT-4o for GTM Workflows

A side-by-side evaluation of Claude and GPT-4o across the four GTM tasks that matter most: research, personalization, reply handling, and voice-of-customer synthesis.…

Apr 30, 2026
Claude For Gtm

Building an AI SDR on Claude (Recipe)

A concrete, reproducible architecture for an AI SDR using Claude API, n8n, Apollo enrichment, and Smartlead delivery. Full cost math, code snippets,…

Apr 30, 2026
Claude For Gtm

Claygent Architecture Explained

Clay's agent layer — Claygent — is not a product feature. It is a composable browser-plus-tool-calling runtime sitting on top of Claude,…

Apr 30, 2026
Deep Dive

The GTM Harness Drift Thesis: How Model Improvements Will Collapse 60% of Today’s GTM Stack by 2028

Foundation model improvement is not a rising tide that lifts all GTM tool boats — it is a selective flood that will…

Apr 30, 2026
Claude For Gtm

Claude for GTM: Why Anthropic’s Model Is the Substrate for AI-Native Revenue

Claude is not a chat product for GTM teams — it is the foundational model layer that powers the category's most capable…

Apr 30, 2026
Uncategorized

Manifesto: The Independent Analyst’s View of AI GTM

Why GTMLens exists, what it covers, what it refuses, and how it works. The positioning document for an independent analyst publication on…

Apr 30, 2026
Uncategorized

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Apr 30, 2026