What’s moving now

Trending topicGrokbotNEW this month · 0.6% of the conversationLatest postWatermarking worriesAug 20 · Try this instead of hacking it.
Biggest reactionTemplafy ships Agent Add-In for PowerPointTemplafy14.2× the usual response · 284 engagements
Gaining groundOpenCodeOpenCode↑7 places in Coding Agents & Harnesses for GTM
Trending topicHeadless & API-First Software+112% vs prior 30d · 0.6% of the conversation

Market Moves

Aug 28HubSpot Next and Dharmesh launch YouSpot — personal CRM for $1LaunchHubSpot2,985 engagements · 11.1× usualPost ↗
Aug 28Owner.com raises $240M at a $2.3B valuationFundingOwner.com2,044 engagementsPost ↗
Aug 286sense launches an MCP ServerLaunch6sense79 engagements · 4.4× usualPost ↗
Aug 27Salesforce partners with Anthropic on ClaudeForceStrategySalesforceAnthropic1,763 engagements · 13.8× usualPost ↗
Aug 26Profound and Influencer launch Creator-First AEOStrategyProfoundInfluencer267 engagements · 2.7× usualPost ↗
Aug 26Salesforce and Anthropic launch ClaudeforceLaunchSalesforceAnthropic1,763 engagements · 13.8× usualPost ↗
Aug 26Nooks acquires FullyRampedM&ANooksF677 engagements · 3.3× usualPost ↗

GTM Tech Index

Traditional SaaS Going Headless225 tracked →SalesforceHubSpotInstantlyGongApollo.io
AI-Native GTM Challengers135 tracked →ClayAttioProfoundFin (Intercom)Nooks
Coding Agents & Harnesses for GTM32 tracked →Claude CodeCodexCursorLovableReplit
Orchestrators & Agentic Workflow33 tracked →n8nZapierAirtableMakeDust
GTM Developer Tools217 tracked →VercelApifyOpenRouterProspeoElevenLabs
AEO-First Marketing Tech21 tracked →SemrushAhrefsScrunch AIPeec AIConductor
All GTM Tech763 tracked →ZoomInfoHeyReachSubstackOpenClawCanvaLemlistRB2BbeehiivOutreachSmartleadGranolaGrokbotCommon RoomSupabaseWebflow

Tracking key moves in GTM tech since June 2026. See methodology. Something missing? Send it to adam[at]adamgtm.com

All topics

Beta

Figures move as the panel grows and definitions sharpen.

Show
Category
2AI Coding & Coding AgentsTopic+3.3%vs prior 30d14.4%Share of conversation · L30
5Proving AI ROITheme-11.2%vs prior 30d7.1%Share of conversation · L30
7Open vs. Closed ModelsTheme+10.5%vs prior 30d7.0%Share of conversation · L30
9Enterprise AI AdoptionTheme-4.5%vs prior 30d6.3%Share of conversation · L30
11AI Search & AI AnswersTopic-10.0%vs prior 30d6.1%Share of conversation · L30
12Claude CodeBrand-12.7%vs prior 30d6.0%Share of conversation · L30
13MCPTopic-14.3%vs prior 30d5.6%Share of conversation · L30
14AEO (Answer Engine Optimization)Topic-25.3%vs prior 30d5.5%Share of conversation · L30
17AI for the EnterpriseTopic-3.3%vs prior 30d4.3%Share of conversation · L30
18Signal-Based Sales & ABMTheme-6.1%vs prior 30d4.2%Share of conversation · L30
19ClayBrand-9.7%vs prior 30d4.1%Share of conversation · L30
21AI VisibilityTopic+6.3%vs prior 30d3.7%Share of conversation · L30
22SalesforceBrand-10.2%vs prior 30d3.5%Share of conversation · L30
24CodexBrand+22.6%vs prior 30d3.4%Share of conversation · L30
25Token Spend & Cost ControlsTheme-9.5%vs prior 30d3.3%Share of conversation · L30
26Customer SuccessTopic+17.4%vs prior 30d3.2%Share of conversation · L30
27Cold EmailTopic-5.3%vs prior 30d3.2%Share of conversation · L30
28HubSpotBrand-17.6%vs prior 30d3.1%Share of conversation · L30
29Conversational AITopic+6.9%vs prior 30d3.0%Share of conversation · L30
30CursorBrand+15.2%vs prior 30d2.8%Share of conversation · L30
31Foundation ModelsTopic-2.4%vs prior 30d2.7%Share of conversation · L30
32ProspectingTopic+2.2%vs prior 30d2.7%Share of conversation · L30
33Evals & AI BenchmarksTopic-11.7%vs prior 30d2.7%Share of conversation · L30
34RevOpsTopic-19.7%vs prior 30d2.6%Share of conversation · L30
35Demand GenerationTopic+7.5%vs prior 30d2.5%Share of conversation · L30
36Cold OutboundTopic-7.1%vs prior 30d2.4%Share of conversation · L30
37Paid MediaTopic+17.6%vs prior 30d2.4%Share of conversation · L30
38AI Video GenerationTopic+60.1%vs prior 30d2.4%Share of conversation · L30
40GTM Data InfrastructureTopic-6.4%vs prior 30d2.2%Share of conversation · L30
41AI SlopTheme+28.2%vs prior 30d2.2%Share of conversation · L30
42Multi-Player AITheme+20.9%vs prior 30d2.2%Share of conversation · L30
43Context Engineering in GTMTheme-20.3%vs prior 30d2.0%Share of conversation · L30
44Product-Led GrowthTheme+28.3%vs prior 30d1.9%Share of conversation · L30
45Account-Based Marketing (ABM)Topic+42.2%vs prior 30d1.8%Share of conversation · L30
46AI SDRTheme+31.4%vs prior 30d1.8%Share of conversation · L30
47Enterprise SalesTopic+40.6%vs prior 30d1.8%Share of conversation · L30
48Data EnrichmentTopic-13.9%vs prior 30d1.8%Share of conversation · L30
49DeliverabilityTopic+6.8%vs prior 30d1.7%Share of conversation · L30
50Buying GroupsTopic+0.9%vs prior 30d1.7%Share of conversation · L30
51In-Person Events & Field MarketingTopic+24.6%vs prior 30d1.7%Share of conversation · L30
52Machine LearningTopic+21.1%vs prior 30d1.6%Share of conversation · L30
53Sales LeadershipTopic-0.2%vs prior 30d1.6%Share of conversation · L30
54AttributionTopic-6.5%vs prior 30d1.5%Share of conversation · L30
55GTM StrategyTopic-6.0%vs prior 30d1.5%Share of conversation · L30
56Product MarketingTopic+21.7%vs prior 30d1.4%Share of conversation · L30
58Content MarketingTopic+13.5%vs prior 30d1.4%Share of conversation · L30
59GTM Developer ToolsTopic-19.1%vs prior 30d1.4%Share of conversation · L30
60ForecastingTopic-11.4%vs prior 30d1.4%Share of conversation · L30
61B2B MarketingTopic-9.7%vs prior 30d1.3%Share of conversation · L30
62Agent Knowledge, Memory & Context SystemsTopic-16.0%vs prior 30d1.3%Share of conversation · L30
63Proof of HumanTheme+345%vs prior 30d1.3%Share of conversation · L30
64Sales EnablementTopic+3.8%vs prior 30d1.3%Share of conversation · L30
65VercelBrand+24.0%vs prior 30d1.2%Share of conversation · L30
66Agent SkillsTopic+6.2%vs prior 30d1.2%Share of conversation · L30
67InstantlyBrand+5.0%vs prior 30d1.2%Share of conversation · L30
68GongBrand-15.3%vs prior 30d1.1%Share of conversation · L30
69Search StrategyTopic-18.4%vs prior 30d1.1%Share of conversation · L30
70Brand BuildingTopic-15.8%vs prior 30d1.1%Share of conversation · L30
71B2B SalesTopic-1.6%vs prior 30d1.1%Share of conversation · L30
72MartechTopic+38.9%vs prior 30d1.1%Share of conversation · L30
73OpenRouterBrand+201%vs prior 30d1.1%Share of conversation · L30
74Multi-Agent SystemsTopic+23.7%vs prior 30d1.0%Share of conversation · L30
75Conversation IntelligenceTopic-33.7%vs prior 30d1.0%Share of conversation · L30
76LovableBrand+70.6%vs prior 30d1.0%Share of conversation · L30
77CLIs for GTMTopic-9.2%vs prior 30d1.0%Share of conversation · L30
78n8nBrand-14.0%vs prior 30d1.0%Share of conversation · L30
79Revenue AgentsTopic-34.2%vs prior 30d1.0%Share of conversation · L30
80Outbound SystemsTopic-16.4%vs prior 30d1.0%Share of conversation · L30
81Watermarking & Content ProvenanceTopic>29×vs prior 30d1.0%Share of conversation · L30
83ZapierBrand+41.4%vs prior 30d0.9%Share of conversation · L30
84EntrepreneurshipTopic+5.5%vs prior 30d0.9%Share of conversation · L30
85ReplitBrand+10.6%vs prior 30d0.9%Share of conversation · L30
86AI SafetyTopic+15.3%vs prior 30d0.9%Share of conversation · L30
87Model RoutingTopic-11.5%vs prior 30d0.9%Share of conversation · L30
88Sales OpsTopic+33.3%vs prior 30d0.9%Share of conversation · L30
89Lead ScoringTopic-13.2%vs prior 30d0.9%Share of conversation · L30
90SubstackBrand+25.2%vs prior 30d0.8%Share of conversation · L30
91Apollo.ioBrand+8.4%vs prior 30d0.8%Share of conversation · L30
92AI in MarketingTopic-8.2%vs prior 30d0.8%Share of conversation · L30
93Influencer Marketing & Creator PartnershipsTopic+21.1%vs prior 30d0.8%Share of conversation · L30
94Marketing OperationsTopic-6.6%vs prior 30d0.8%Share of conversation · L30
95Forward Deployed EngineeringTopic-22.1%vs prior 30d0.8%Share of conversation · L30
96Prompt EngineeringTopic+28.4%vs prior 30d0.8%Share of conversation · L30
97CopywritingTopic-3.6%vs prior 30d0.8%Share of conversation · L30
98HeyReachBrand+17.9%vs prior 30d0.8%Share of conversation · L30
99AI SecurityTopic+34.8%vs prior 30d0.7%Share of conversation · L30
100ApifyBrand-16.1%vs prior 30d0.7%Share of conversation · L30
101AI App Stores & ConnectorsTopic+18.6%vs prior 30d0.7%Share of conversation · L30
102Claude CoworkBrand-28.9%vs prior 30d0.7%Share of conversation · L30
103Self-ServeTopic-6.6%vs prior 30d0.7%Share of conversation · L30
104Sales DevelopmentTopic-10.5%vs prior 30d0.7%Share of conversation · L30
105Partner Marketing & EcosystemTopic+64.5%vs prior 30d0.7%Share of conversation · L30
106Product-Market FitTopic+20.9%vs prior 30d0.7%Share of conversation · L30
107AttioBrand-10.5%vs prior 30d0.7%Share of conversation · L30
108Human in the LoopTopic+111%vs prior 30d0.6%Share of conversation · L30
109Agent HarnessesTopic+108%vs prior 30d0.6%Share of conversation · L30
110Exec-Led & Employee-Led SocialTopic-20.3%vs prior 30d0.6%Share of conversation · L30
111CanvaBrand-1.0%vs prior 30d0.6%Share of conversation · L30
112AI-Pilled CompaniesTopic+1.0%vs prior 30d0.6%Share of conversation · L30
113Marketing AutomationTopic+7.9%vs prior 30d0.6%Share of conversation · L30
114Growth MarketingTopic-18.8%vs prior 30d0.6%Share of conversation · L30
115ObservabilityTopic-10.7%vs prior 30d0.6%Share of conversation · L30
116Workflow AutomationTopic+21.3%vs prior 30d0.6%Share of conversation · L30
117ElevenLabsBrand+7.6%vs prior 30d0.6%Share of conversation · L30
118Headless & API-First SoftwareTopic+112%vs prior 30d0.6%Share of conversation · L30
119GrokbotBrandNEWvs prior 30d0.6%Share of conversation · L30
120OpenClawBrand-9.3%vs prior 30d0.6%Share of conversation · L30
121ProfoundBrand-20.3%vs prior 30d0.6%Share of conversation · L30
122ZoomInfoBrand-11.1%vs prior 30d0.6%Share of conversation · L30
123Lifecycle MarketingTopic+49.5%vs prior 30d0.5%Share of conversation · L30
124Usage & Consumption PricingTopic-18.6%vs prior 30d0.5%Share of conversation · L30
125AI PersonalizationTopic-6.7%vs prior 30d0.5%Share of conversation · L30
126GranolaBrand+51.3%vs prior 30d0.5%Share of conversation · L30
127Free TrialTopic-1.3%vs prior 30d0.5%Share of conversation · L30
128Agentic GTMTopic+28.0%vs prior 30d0.5%Share of conversation · L30
129AI in SalesTopic-29.0%vs prior 30d0.5%Share of conversation · L30
130Product StrategyTopic+8.3%vs prior 30d0.5%Share of conversation · L30
131Sales TechTopic-13.3%vs prior 30d0.5%Share of conversation · L30
132Network EffectsTopic+8.9%vs prior 30d0.5%Share of conversation · L30
133OpenCodeBrand+88.6%vs prior 30d0.5%Share of conversation · L30
134Machine-Readable Sites & DocsTopic+10.1%vs prior 30d0.5%Share of conversation · L30
135Agents as BuyersTopic-14.4%vs prior 30d0.5%Share of conversation · L30
136AhrefsBrand-30.4%vs prior 30d0.5%Share of conversation · L30
137Content Production at ScaleTopic+1.3%vs prior 30d0.5%Share of conversation · L30
138AI-Driven AdvertisingTopic+13.6%vs prior 30d0.4%Share of conversation · L30
139SemrushBrand-43.2%vs prior 30d0.4%Share of conversation · L30
140RB2BBrand-44.0%vs prior 30d0.4%Share of conversation · L30
141GammaBrand+40.1%vs prior 30d0.4%Share of conversation · L30
142BasetenBrand+11.4%vs prior 30d0.4%Share of conversation · L30
143GTM BrainTopic-11.6%vs prior 30d0.4%Share of conversation · L30
144AI Replacing Jobs & White-Collar WorkTopic-6.6%vs prior 30d0.4%Share of conversation · L30
145Enterprise MarketingTopic-3.7%vs prior 30d0.4%Share of conversation · L30
146Replacing SaaS with Internal ToolsTopic-15.1%vs prior 30d0.4%Share of conversation · L30
147LangChainBrand+2.1%vs prior 30d0.4%Share of conversation · L30
148TokenmaxxingTopic-17.0%vs prior 30d0.4%Share of conversation · L30
149NooksBrand-41.9%vs prior 30d0.4%Share of conversation · L30
150AdvisoryTopic+122%vs prior 30d0.4%Share of conversation · L30
151Founder-Led SalesTopic+10.1%vs prior 30d0.4%Share of conversation · L30
152Agentic WorkflowsTopic-17.0%vs prior 30d0.4%Share of conversation · L30
153AI DetectionTopic+114%vs prior 30d0.4%Share of conversation · L30
154AI Positioning & SamenessTopic-7.6%vs prior 30d0.3%Share of conversation · L30
155Category CreationTopic+4.7%vs prior 30d0.3%Share of conversation · L30
156Exa.aiBrand-32.8%vs prior 30d0.3%Share of conversation · L30
157AI-Native GTMTopic-41.1%vs prior 30d0.3%Share of conversation · L30
1581mindBrand+12.5%vs prior 30d0.3%Share of conversation · L30
159AirOpsBrand+114%vs prior 30d0.3%Share of conversation · L30
160GTM Stack ConsolidationTopic-55.3%vs prior 30d0.3%Share of conversation · L30
161IntercomBrand+27.6%vs prior 30d0.3%Share of conversation · L30
162Agent LoopsTopic-18.5%vs prior 30d0.3%Share of conversation · L30
163FirecrawlBrand-24.8%vs prior 30d0.3%Share of conversation · L30
164Common RoomBrand-66.0%vs prior 30d0.3%Share of conversation · L30
165FreemiumTopic+287%vs prior 30d0.3%Share of conversation · L30
166Hermes AgentBrand-22.7%vs prior 30d0.2%Share of conversation · L30
167HiggsfieldBrand-26.1%vs prior 30d0.2%Share of conversation · L30
168Agent Interfaces & ExperienceTopic-8.6%vs prior 30d0.2%Share of conversation · L30
169WarmlyBrand-72.3%vs prior 30d0.2%Share of conversation · L30
170Human-Made as a ClaimTopic+175%vs prior 30d0.2%Share of conversation · L30
171Digital MarketingTopic-39.9%vs prior 30d0.1%Share of conversation · L30
172Gated Content & the Death of the FormTopic+12.0%vs prior 30d0.1%Share of conversation · L30
173Outcome-Based PricingTopic-54.3%vs prior 30d0.1%Share of conversation · L30
174Trust-Based MarketingTopic-45.8%vs prior 30d0.1%Share of conversation · L30
175Synthetic UGC & CreatorsTopic-12.8%vs prior 30d0.1%Share of conversation · L30
176Agents as UsersTopic+285%vs prior 30d0.1%Share of conversation · L30
177Product-Led SalesTopicNEWvs prior 30d0.0%Share of conversation · L30
178Software Margin CompressionTopicNEWvs prior 30d0.0%Share of conversation · L30

Nothing matches this filter.

Intro

Hi, I'm Adam. I'm an independent builder & industry analyst. My goal is to help GTM leaders make sharp decisions in uncertain markets.

This is the methodology for my GTM Market Tracker — the score, the rankings, and the category maps.

Trends & Topic Tracking

Topics measure what the GTM conversation is actually about, at two grains.

  1. Theme. Clusters of topics that create a named concept I think is worth following.
  2. Topic. Specific measured terms or brand names.

Clusters are built from topics, so both appear in one ranked list.

The volume and change measures are both variations on Share of Voice (SOV). The volume is a count of posts fitting the topic or theme, engagement weighted. The denominator is every panel post that matched at least one maintained topic.

Shares do not add up to 100%. A post about coding agents inside GTM engineering is about both, so it counts for both — the number is prevalence, not a slice of a pie.

Beta. These figures move as the panel grows and the definitions sharpen. Every published number carries the registry version it was measured under, and when a change reprices the board I say so in that issue's notes.

Tech Index Coverage

I cover products and companies with a central application for B2B go-to-market in the AI era. Most are sales- or marketing-focused (e.g. Gong, Clay), but I also cover broader solutions that are clearly GTM-relevant (e.g. Claude Code, Vercel, Exa).

On the edges my judgement determines what fits (and what doesn't). Like all things, this evolves as I learn and as the market changes.

SOV Score

Brand's share of panel conversation, normalized 0–99 against the field.

My scores are a share-of-voice (SOV) measure, not a rating of the product capabilities. I am not scoring whether a product is good or best. I'm measuring how much it shows up in the GTM conversation. This a useful concept to understand market trends, but isn't a buyer score alone.

Here's how it works:

  1. Curated Panel. Sources I've hand-picked across social media, newsletters, blogs, and podcasts. Not a broad sample — the best minds in GTM: operators, authors, builders, executives.
  2. Tracking Mentions with Context. I track substantive product mentions — and their context — across the panel. Link-only and content-locator references don't count as brand conversation.
  3. Engagement Weighted. Each mention is weighted by engagement and relevance (the factors vary by mention type). A product's own posts don't count — the score is earned voice only.
  4. Normalized 0–99. Every product sits on one scale, indexed to the loudest product in the window — that product scores 99 and everything else is placed against it. The index follows a power curve, not a straight line.

The two windows

Window What it answers
SOV Score Last 90 days Where does this brand stand right now?
60-day move Last 60 days vs the 60 before them Which direction is it heading?

The move is a percentage change in share of panel conversation — the brand's share over the last 60 days against its share over the 60 days before that. Both are recalculated nightly, against the panel as it stands that night. The move window ends two days back, because the most recent day or two of collection is still filling in. Scores you see today are as of 2026-08-30.

What the number is not

  • It is not a percentage. A SOV Score of 40 does not mean 40% of anything. It's a position on a 0–99 curve where 99 is whoever the panel talked about most in the window.
  • It is not linear. The curve compresses the top and spreads the bottom, so the gap between 90 and 95 represents far more conversation than the gap between 20 and 25. At the very bottom the scale is steep: roughly, SOV 9–11 is one earned mention over 90 days, 14–16 is two, 19–21 is five, 24–26 is nine.
  • It is not a quality rating. A product can be excellent and quiet. That shows up here as a low score, and that is the measure working, not failing.

What counts as a voice

A voice is a source on the curated panel. It's a person or a publication whose GTM commentary I've chosen to track, across LinkedIn, X, newsletters, blogs and podcasts. It is a carefully curated list or experts and operators, not a crawl of the internet. I have three rules for reading the panel.

  • SOV is earned only. A brand's own accounts, and posts by its own staff, are identified and excluded.
  • Weighted by engagement. A post nobody read counts for less than one with a strong response.
  • Context-checked. Noise like common-word brand names, and other irrelevant mentions are scrubbed when they aren't associated with a GTM conversation.

Markets, membership, and the ranking cutline

Brands sit inside Markets. These are my framework for grouping companies by the AI era "races" and don't necessarily align to traditional industry categories. Two different things can be true of a brand at once:

  • Membership is permanent. Once a brand belongs to a Market it keeps that Market, whatever its score does. Membership is about what the company is.
  • Ranking is dynamic. A brand is ranked once its SOV Score clears its Market's floor — currently SOV 15. Below that it keeps its Market and stays visible on the page, marked unranked.

Category Definitions

GTM Tech Types

My highest level organizing framework has a strong bend toward AI. I believe the traditional categorization is breaking down quickly. This is how I see the space at a high level:

TypeDefinitionExamples
Coding Agents & Experience BuildersAI coding assistants and app builders.Claude Code, Cursor, Lovable
OrchestrationThe workflow layer that wires data, agents, and apps into GTM systems.Clay, Zapier, n8n
Agent-Native GTMSoftware where agents are core and do the work — purpose-built for GTM jobs.11x, Artisan, Attio
GTM Developer ToolsThe API- and MCP-first primitives used to build and run agent-based GTM systems.Exa, Vercel, ElevenLabs
SaaS for GTMThe GTM application layer — multi-feature software you operate for sales, marketing and CS. Many are going headless and shipping agents.Salesforce, HubSpot, Gong
Creative & ContentAI generation of media assets — images, video, decks, avatars, copy.Canva, Runway, HeyGen
AEOPlatforms that help brands measure & optimize visibility inside AI answers.Profound, Scrunch AI, AthenaHQ
GTM AdjacentBroad, general-purpose platforms a company runs on (comms, docs, cloud, data) — used by GTM but orthogonal to sales and marketing execution.Slack, Notion, Snowflake

GTM Tech Categories

Categories are generally organized around use cases, go-to-market motions, or the intersection of the two. That said, there is a balance of many factors in this framework and it ultimately comes down to my judgement.

CategoryDefinitionExamples
GTM Developer ToolsBroad dev primitives GTM teams run through agents and APIs.Exa, Vercel, Twilio
Data & IntelligenceEnrichment, intent, and signal data that feeds the pipeline.Clay, ZoomInfo, Apollo
SellingActive deal execution — conversation intelligence, coaching, proposals, demos.Gong, Salesforce, Granola
Marketing ExecutionCampaigns, content, ABM, and marketing ops.HubSpot, Klaviyo, Customer.io
AdvertisingPaid-media execution and measurement — DSPs, paid social and search, attribution.The Trade Desk, LiveRamp, Metadata
Creative & ContentAI generation of GTM media — video, images, decks, avatars, copy.Canva, Runway, HeyGen
GTM InfrastructureGTM-specific pipes — email deliverability, CDP and reverse-ETL, billing.Hightouch, Metronome, Paddle
Website & InboundWebsites, chat, and inbound capture that convert traffic into pipeline.Webflow, Chili Piper, Framer
AEOVisibility inside AI-generated answers.Profound, Scrunch AI, AthenaHQ
ProspectingOutbound — finding, qualifying, and reaching buyers.Outreach, Salesloft, Nooks
Customer SuccessPost-sale onboarding, retention, and expansion.Intercom (Fin), Gainsight, Zendesk
Autonomous CRMAI-native CRMs that run pipeline, deals, and relationships themselves.Attio, Day.ai, Clarify

Rules & Guidelines

Products can fit types and multiple categories, but there must be a strong case.

Agent Readiness Score

I score Agent Readiness as a secondary factor, but it matters: in an agent era, whether your systems can actually build on a product matters more than its UI. It's an analyst-judged 0–99 score (with an A–F grade) across four surfaces — API, MCP server, SDK, and CLI — plus the quality of the docs behind them. Multiple agents, each with a different persona, assess those surfaces and docs; the Surfaces column shows exactly which a product ships.

Feedback & Corrections

Send any suggestions or issues to adam at adamgtm.com. I verify them, write the fix back to the system and publish.

If you're building something interesting in this space, but it's not covered yet, please suggest a product here.

Add a GTM Brand to the Index

Building or running a product that belongs in the GTM Index? Tell us about it. We review every submission and add the ones that fit.