These amazing sponsors make my research possible

beehiivbeehiiv ↗
Newsletter, website, podcast, and community hosting. Use ADAM30 for 30% off.
ComputerComputer ↗
One AI teammate, built for your whole team. Prep calls, build presentations, and draft follow-ups in minutes. Try Computer free.
ZoomInfoZoomInfo ↗
GTM context built on the world's best b2b data, now available headless (CLI, API, MCP).

Paid placements. Sponsors have no say in coverage. Sponsor an issue →

Two months ago I left my CMO job and went independent. Last week I shipped Adam’s GTM Report 2.0, a new market tracker with trending topics, market moves, and the updated GTM Tech Index. As a free subscriber you can access the new dashboard here. So I’m both building with AI and studying the space.

In August I logged 47 GTM-relevant moves: 8 acquisitions, 5 funding deals, 30 product launches, and 4 strategic moves. I also measured the conversation across a panel of 20,000+ AI x GTM posts each month.

Four patterns stood out:

1. Headless vs SaaSpocalypse

The SaaSpocalypse conversation peaked in February. By August it had fallen 68%. Meanwhile, Headless & Agent Interfaces more than doubled from January to August.

In August it seemed like the market started liking the headless answer for certain SaaS players. We saw a very positive response when Salesforce used earnings week to say the SaaSpocalypse was over. It had the numbers: $11.3B in quarterly revenue and 14% cRPO growth. It also launched Claudeforce with Anthropic and made Salesforce data and actions available inside Claude.

The SaaSpocalypse Was Already Fading

“SaaS is back” and “the interface is being unbundled” can both be true. Good SaaS can survive without owning every click. Even if seat-based pricing errodes and vendors cede the UI, products with durable systems of record can continue growing.

I’ve always disliked Salesforce products as a user. But the headless version is a much better experience. I use Salesforce more when I can work through Claude instead of another screen. Jason Lemkin had a similar view. His team almost stopped logging into Salesforce, increased usage about 10×, and raised its bill 40%.

2. “Signal-Based” GTM hype is fading

A lot of the last generation of GTM tech was built around one idea: catch a buying signal sooner, enrich it, score it, route it, act.

That is still a big part of the market. But it’s no longer front and center in the strategy conversation. Signal-Based Sales & ABM fell from 8.3% of tracked topic conversation in January to 4.1% in August. The narrower Signal-Based Sales topic fell from 6.8% to 3.1%.

Signal-Based GTM hype is fading

The vendors are consolidating too. I wrote about Zoom buying Common Room and HubSpot buying Warmly, then again when Clarify bought Seam AI. Since the end of June, six signal-based vendors have sold: Warmly, Common Room, Ciro, Scout AI, Seam AI, and Commsor.

Signals aren’t bad or wrong. I think they are getting absorbed. A signal becomes one input to an agent or workflow. The GTM leader’s job moves downstream: decide which signals change a decision and what action follows.

3. From AI Slop complaints to action

The broader AI Slop conversation fell from 2.0% of tracked topic conversation in July to 1.8% in August. Watermarking & Content Provenance jumped almost 14×, from 0.07% to 0.95%. Proof of Human rose 176%.

From AI Slop complaints to action

LinkedIn ended July by adding the “seems like AI slop” report button. In August, Anthropic announced text watermarking for future Claude models. Clay published an AI Writing Policy. Its first rule: “You must stand behind every idea and sentence.” Varun Anand’s post about the policy generated 8,511 engagements, 12.3× his usual response. It beat the posts for Clay’s two main August product launches, Workflows and Topic Intent.

People did not need another post complaining about authenticity. They needed a rule they could use. The line is whether a human owns the work. My one-person policy is similar: I own the ideas and the sentences. I use AI without hesitation to research, outline, edit, build graphics, and format. GTM leaders need to help their teams find the line.

4. AI x GTM theory comes in waves

We’re all figuring out agents, so it is natural to get excited about each new theory and approach. MCP peaked in May. Context systems peaked in June. Evals peaked in July. Open vs. Closed Models peaked in August.

AI x GTM Theory Hype Cycles

None of these ideas are dead. They each matter. But they have clear hype cycles as the market learns. We should expect the next idea to follow the same curve. For GTM leaders, the warning is in the shape of the curves. Be careful about following any one rabbit hole too far. Keep the strategy focused on business impact and the long game.

The full readout below has the topic rankings, market and stage leaders, the people who moved the conversation, and my read on the month’s acquisitions, funding deals, and launches.

Note on numbers: My AI x GTM Panel reviews 20K+ posts each month. Topic share is engagement-weighted across topic-matched posts. Topic Trends is still in beta. A brand’s SOV Score and a topic’s SOV percentage are different measures. Topic clusters overlap by design and do not sum to 100%. “August change” compares the full calendar month with July using the same topic registry and denominator. Do not compare these numbers with the July percentages printed in last month’s issue; the topic system expanded.

GTM Market Tracker: August Numbers

Top topics

The Topics index now measures 123 topics grouped into 24 curated clusters, plus 44 brand topics. The tables below rank clusters and measured topics together. They are overlapping views of the market, not mutually exclusive buckets.

Topic

SOV · Change

Context

1.) Building GTM Agents (cluster)

21.4% · +0.3%

Coding, MCP, skills, context, and runtimes

14.5% · +4.4%

Claude Code, Codex, Cursor, and agent workflows

3.) AEO/GEO (cluster)

11.3% · -9.0%

Visibility, citations, optimization, and AEO brands

7.3% · -6.1%

APIs, CLIs, protocols, and agent interfaces

5.) GTM Engineering (cluster)

7.1% · -8.1%

Builders, orchestrators, and developer tools

6.6% · +0.3%

Model choice, routing, open weights, and labs

6.2% · -24.4%

Distribution without clicks, forms, or gates

8.) Proving AI ROI (cluster)

6.1% · -21.6%

Cost, evidence, adoption, and production value

5.9% · -9.4%

AI answers, citations, and changing discovery

10.) MCP (topic)

5.7% · -5.7%

The protocol connecting agents to tools and data

Fastest-moving topics

The fastest-growing topics were more specific than the broad AI conversation. Provenance, human controls, agent harnesses, and API-first software all grew while several of the larger hype cycles cooled.

Topic

SOV · Change

What changed

0.9% · +1,256%

Anthropic turned a policy mechanism into an operator debate.

Proof of Human (cluster)

1.2% · +176%

Provenance, detection, and synthetic content converged.

Agentic GTM (topic)

0.6% · +87%

More teams named the operating model directly.

0.7% · +86%

Controls and approvals moved into products and roles.

0.6% · +75%

The narrow API-first layer grew inside a cooling cluster.

0.5% · +52%

The operating shell around the model gained attention.

2.2% · +37%

Higgsfield and the wider creative cycle drove volume.

Build vs. Buy (cluster)

1.5% · +29%

Large acquisitions sharpened the infrastructure decision.

AI SDR (cluster)

1.8% · +22%

A second product wave replaced the old replacement pitch.

1.7% · +21%

Human distribution kept growing beside synthetic production.

GTM Tech bands leading in each race

I track six market contests. Grouping is my framework; measurement is brand SOV. Here is who led each as of August 31.

Market

#1

#2

#3

#4

#5

Traditional SaaS Going Headless

Gong, 60

AI-Native GTM Challengers

Attio, 50

Fin, 46

Nooks, 45

Coding Agents & Harnesses for GTM

Codex, 77

Cursor, 76

Replit, 53

Orchestrators & Agentic Workflow

Clay, 89

n8n, 59

Zapier, 51

Make, 37

GTM Developer Tools

Vercel, 58

Apify, 52

AEO-First Marketing Tech

Ahrefs, 49

AirOps, 37

For this table, each brand belongs to one market. Clay appears only in Orchestrators. Profound appears only in AEO. The live Index allows overlapping membership.

The leaders at each stage

The stage table compares brands against peers with similar resources.

Stage

#1

#2

#3

#4

#5

Scaled

Clay, 89

Codex, 77

Growth

Apify, 52

Attio, 50

Startup

RB2B, 48

AI Ark, 42

Scaled means public, 250+ employees, or $150M+ raised. Growth means 50–249 employees or $25M+ raised. Startup means under both Growth thresholds. Products inherit their parent’s stage. Open-source projects without a standalone operating company are excluded.

CEOs and founders moving the conversation

Hard company events led the founder board: earnings, rounds, acquisitions, and launches.

Founder or executive

Top August post

Engagements

Engagement vs baseline

Marc Benioff, CEO at Salesforce

10,423

5.6×

Varun Anand, co-founder at Clay

8,511

12.3×

Ali Ghodsi, CEO at Databricks

5,965

3.6×

Anton Osika, CEO at Lovable

5,928

6.6×

Alex Mashrabov, CEO at Higgsfield

5,862

25.3×

Dharmesh Shah, co-founder at HubSpot

3,519

13.0×

Sam Blond, CEO at Monaco

1,599

13.4×

Engagement is likes, comments, and reposts. Response multiples compare each post with the author’s median response over the prior 90 days.

Acquisitions and mergers

The August deal list split in two. Infrastructure deals got enormous. GTM applications kept combining.

Cursor announced it is joining SpaceX. Cursor’s announcement generated 21,617 engagements, 37.9× its normal response. Cursor had already crossed $1B in annualized revenue.
→ Read More: Michael Truell | Cursor announcement

Bending Spoons agreed to acquire Airtable. The disclosed $1.285B enterprise value against approximately $480M ARR works out to roughly 2.7× ARR. Airtable was valued at $11.7B in 2021. Established workflow software and AI-native creation products are getting assigned very different futures.
→ Read More: Company announcement

Klaviyo acquired Agency. Agency’s AI customer-success team and technology join Klaviyo. Co-founder Elias Torres wrote about the human side of being acquired again rather than pretending this was another clean product launch.
→ Read More: Elias Torres, 970 engagements | Company announcement

Seismic completed its merger with Highspot. Two of the largest independent sales-enablement platforms are now one company. Rob Tarkoff’s post generated 1,094 engagements, 3.2× his normal response.
→ Read More: Rob Tarkoff

Nooks acquired FullyRamped. Nooks bought the AI role-play and training company as it expands from outbound execution into rep performance. Dan Lee’s post generated 701 engagements, 3.4× his normal response.
→ Read More: Dan Lee

Databricks acquired ElectricSQL. The Electric team is bringing local-first Postgres and sync infrastructure into Databricks. The deal strengthens the data layer underneath agent-built GTM workflows.
→ Read More: Ali Ghodsi, 2,649 engagements and a 3.5× spike | Founders’ announcement

Funding deals

The five approved funding events in my August Moves ledger totaled $6.39B.

Lovable raised $400M at a $13.3B valuation. Lovable is moving from app builder toward a wider business operating layer. Its own announcement names sales, marketing, operations, and finance workflows alongside customer-facing software.
→ Read More: Anton Osika, 5,928 engagements and a 6.6× spike | Company announcement

Higgsfield raised $400M at a $5.4B valuation. Alex Mashrabov reported a $700M annualized revenue run-rate 16 months after launch. Higgsfield is creative infrastructure, but marketers are among the people changing their workflows around it.
→ Read More: Alex Mashrabov, 5,862 engagements and a 25.3× spike

Databricks raised $5B at a $190B valuation. The company reported a $7B revenue run-rate and 80% year-over-year growth. Databricks alone supplied 78% of the dollars in the month’s tracked funding set.
→ Read More: Ali Ghodsi, 5,965 engagements and a 3.6× spike | Company announcement

Owner.com raised $240M at a $2.3B valuation. Owner.com sells a direct ordering and marketing system to independent restaurants. Adam Guild’s announcement generated 2,232 engagements.
→ Read More: Adam Guild | Goldman Sachs

Groq raised $350M at a $3.5B valuation. Infrastructure keeps attracting capital because every agent and AI application eventually needs inference.
→ Read More: Company announcement

Launches and strategy moves

The product story in August was less about another agent announcement and more about defaults, controls, and distribution.

Artisan flipped the AI SDR pitch from “stop hiring humans” to “be more human.” After two years of deliberately provocative billboards, Jaspar Carmichael-Jack reframed Ava around giving reps more time to cold call, meet prospects, and build relationships. The AI sales company most associated with replacement is now selling augmentation.

Monaco entered GA. Sam Blond’s launch post generated 1,599 engagements, 13.4× his normal response. Monaco is one of the cleaner tests of whether an AI-native CRM can move from a sharp launch story into a durable GTM system.

Clay shipped Workflows. I was skeptical when I saw another canvas full of nodes and lines. Then I used the Clay CLI in Claude Code to build a real workflow in 20 minutes without opening the canvas. Agents to build, workflows to run may be the best of both worlds for teams that need speed and inspectability.
→ Read More: Kareem Amin

Profound kept adding depth while AEO cooled. It shipped Citation Decay, launched a Marketing Engineer community, and partnered with Influencer on Creator-First AEO. AEO/GEO fell 9% in August. Profound is building workflows and distribution through the cooling phase.

Salesforce and Anthropic launched Claudeforce. Salesforce in Claude starts with 37 sales skills, centralized setup, and governed actions against Salesforce data. Claude also runs inside Salesforce’s trust boundary and across several Salesforce and Slack surfaces.
→ Read More: Martin Kihn, 1,935 engagements and a 15.1× spike | Company announcement

Anthropic announced text watermarking for future Claude models. The policy is designed to support EU AI Act transparency requirements. Anthropic is explicit about the limitation: a mark cannot determine authorship or distinguish between Claude writing text and heavily editing it. Technology can show that AI touched the document. A company policy still has to say who owns it.
→ Read More: Company announcement | Technical limitations

HubSpot Labs & Dharmesh Shah launched YouSpot. Dharmesh called it an AI-native personal CRM. The launch post generated 3,519 engagements, 13× his usual response with a disruptive $1 price tag.

Vercel shipped Agent Plugins. The open standard packages capabilities that can extend multiple agents. The launch generated 2,028 engagements, 10.5× Vercel’s normal response.
→ Read More: Launch announcement

The headless roll call kept growing. ZoomInfo put GTM.AI on Slack through MCP. Webflow shipped built-in Skills for ChatGPT and Codex. 6sense launched another MCP server surface. These launches were smaller than Claudeforce, but the direction is consistent: put the data and actions where the agent already lives.
→ Read More: ZoomInfo | Webflow | 6sense

Where my head is at

Now that the tracker is live, I’m watching what happens when ideas stop being new.

Does signal-based GTM level off? Does Open vs. Closed Models give way to routing and harnesses? Does SaaS keep the system while agents take the front door? Do more companies publish AI writing rules their teams can actually use?

Topic Trends is in beta. Pick a topic you know well and tell me what it gets wrong. That’s how this gets better.

Every August move

I logged 47 moves in August, with the source post and measured market response. The complete ledger is live in the Moves tab.

The GTM Tech moves that mattered in August