The Data
How AI Overviews Are Reshaping Freight & Logistics Search
Rankings went up. Clicks went down anyway.
100%Average ranking position improved for every client in our Search Console cohort.
8 of 11Clients saw clicks decline anyway, despite better rankings.
Google is surfacing freight and logistics content more prominently than at any point we've measured, and people are choosing not to click through. That gap, rising impressions next to falling clicks, is the clearest signal available that AI Overviews are answering the question before a buyer ever reaches an organic listing.
The Bigger Problem Hiding Under the AI Story
Before any freight or logistics company touches its content strategy because of AI, there's a more basic problem to fix first.
More than 70% of the clients in our study show direct channel engagement rates below 40%, the threshold that signals meaningful invalid traffic.
Bots, scrapers, and click fraud are inflating session counts and quietly corrupting the baseline companies use to make multi-million dollar marketing decisions.
"The industry conversation has been entirely focused on AI disrupting organic search, and that story is more complicated than the headlines suggest. A bot-inflated direct channel doesn't just look bad in a report; it creates a false baseline that makes every other channel appear to underperform."
Courtney Herda, VP of Digital, LeadCoverage
Validate the data before you act on it. That's the first, unglamorous step in any GTM strategy built for this environment.
The Signal
AI Referral Traffic Is Small but Growing Fast
1–3%of organic volume is AI referral traffic today.
1,615%YoY growth for one enterprise TMS provider: 13 to 223 sessions.
ChatGPT now accounts for 70–87% of AI-driven sessions across clients with measurable data, a real shift from a year ago when Perplexity held early traction. Engagement rates for AI-referred sessions run 60–75%, competitive with or ahead of organic search.
Three things that get lumped together but shouldn't
AI Search
A user asking ChatGPT, Gemini, or Perplexity a question.
AI Mention
A brand getting named in the answer.
AI Citation
The model actually referencing that company's own content.
None of those three is a website visit. None of them is revenue on their own.
"Mentions do not equal citations. Citations do not equal clicks. Clicks do not equal revenue."
Courtney Herda, VP of Digital, LeadCoverage
HubSpot's own blog traffic has declined, while leads arriving from large language models are up 1,850% and convert 3x better than other channels.
The fundamentals still work
Our SEO campaign for ODW Logistics won the Search Engine Land Award for Best B2B Search Marketing Initiative: zero to 318 qualified visits in nine months, thirty-plus first-page rankings, $10.75 million in closed pipeline, through keyword research and disciplined technical SEO, not chasing AI Overviews.
The Trust Layer
What AI Actually Trusts When It Answers a Buyer's Question
Stop asking "how do we rank in an AI Overview." Ask this instead: what is AI actually drawing from to build its answer?
"Earned media accounts for nearly 25 percent of all LLM citations across the major AI platforms. AI systems learn from editorial sources, and the companies that have been building genuine credibility in their market are the ones showing up when a buyer asks an AI who the leaders are."
Will Haraway, Co-Founder & CSO, LeadCoverage
27% of industry-specific AI answers sourced from trade publications, not company websites: outlets like Supply Chain Dive, FreightWaves, DC Velocity, and Logistics Management.
Acting on that finding produced a 600% increase in AI citation frequency across the monitored topics. The formula that emerged:
Executive Thought Leadership + Trade Publication Coverage + Press Releases + Consistent Publishing = Increased AI Citation Frequency
Freshness mattered more than it does in traditional SEO. Answer engines refresh their trusted sources far more often than search rankings change.
58% of enterprise decision makers cite analyst and industry reports as their most influential purchase driver, before AI ever entered the conversation.
Case study: Redwood Logistics and Gartner's 4PL Magic Quadrant
Five years. 50+ analyst briefings. 15 Gartner analysts. One rejected category concept before Gartner steered Redwood toward the fourth-party logistics designation that stuck. The result: Redwood named a Visionary in Gartner's first 4PL Magic Quadrant. Read the full case study →
35%of Gartner-driven form submissions became qualified leads.
$700K+in publicity value generated.
"These quadrants and these reports become a CYA for making million-dollar purchases. When you're making those kinds of investments, you want to be able to point to something with your board that validates your decision."
Will Haraway, Co-Founder & CSO, LeadCoverage
The Engine
The GTM Engine Itself Is Running Differently
Our Supply Chain Growth Index tracks LGER, the Logistics Growth Efficiency Ratio: pipeline created divided by total GTM spend.
$4.84Q4 2025 median LGER (range: $0.36 – $204.30)
$22.39Q1 2026 median LGER, up 453%
LGER Band
Range
What it typically means
Low
Below $8
Legacy outbound, minimal ABM, little paid media
Mid-range
$8 – $55
Working, but at risk of sliding without new investment
High
Above $55
Strong intent data adoption, sustained ABM, tight sales & marketing alignment
"The 453 percent increase in median LGER this quarter is a powerful indicator that logistics organizations are moving beyond vanity metrics and applying the rigor of AEO and earned media to drive measurable pipeline value."
Kara Brown, CEO, LeadCoverage
Inside HubSpot
Buyer Intent
Surfaces known accounts visiting pricing or product pages, plus broader buying signals from across the web.
Prospecting Agent
Watches for a pattern of intent, drafts personalized outreach, and schedules it for the right moment.
Claude Connector
Direct access to contacts, companies, and deals. Cannot delete records, inherits user permissions, full audit trail.
"Most AI tools have access to data. What they don't have is context. If data is what happened, context is why. Without it, AI gives you generic output. With it, you get real outcomes."
Duncan Lennox, CPTO, HubSpot, Spring 2026 Spotlight
The rest of the intent stack
6sense
Just opened its MCP Server in beta: predictive intelligence callable directly from Claude, ChatGPT, and other AI agents.
AdRoll
Q1 2026 report: display retargeting CPMs up 18% YoY while prospecting CPMs fell 11%.
Propensity
Resolves intent down to the actual person inside a company, not just the company itself.
The Playbook
What This Means for Your GTM Strategy
- 01
Audit your measurement foundation before you touch your AI content strategy. A bot-inflated direct channel makes every other investment look worse than it is.
- 02
Treat analyst relations and earned media as AI visibility infrastructure, not just brand building. The Redwood numbers pay off in pipeline long before an AI model ever cites it.
- 03
Adopt intent data, then close the execution gap with AI, not just access to it. Buyer Intent and the Prospecting Agent close the distance between a signal and a response.
- 04
Benchmark your own LGER. The Q1 2026 median sits at $22.39. Standing still is no longer a neutral position.
The companies pulling ahead are not the ones simply adding an AI tool to their stack. They're the ones treating AI as one more layer in a GTM engine that already runs on data discipline, credible content, and fast execution.
Frequently Asked
Questions GTM Teams Are Asking
Are AI Overviews killing organic traffic for freight and logistics companies?
Not based on the data we've measured. 43% of the companies in our 2026 State of Analytics report grew organic engaged sessions year over year. What's changing is the relationship between rankings and clicks: rankings improved for every client in our Search Console cohort, while clicks declined for most of them.
What is LGER and why does it matter for GTM spend?
LGER, or Logistics Growth Efficiency Ratio, measures qualified pipeline created divided by total go-to-market spend. It isolates what a marketing and sales engine can actually control. In Q1 2026, the median LGER was $22.39, up 453% from Q4 2025.
How does analyst relations help a company get cited by AI tools like ChatGPT?
Large language models draw heavily on editorial and earned media sources, with earned media accounting for close to 25% of LLM citations. Analyst relations programs produce exactly this kind of third-party validated content: research reports, market guides, Magic Quadrant coverage.
Is it safe to give an AI tool like Claude access to a CRM?
With the right guardrails, yes. HubSpot's Claude connector cannot delete records, inherits each user's existing HubSpot permissions, and excludes sensitive properties entirely. Every action is logged in HubSpot's audit trail.
What is intent data, and how is AI changing access to it?
Intent data signals when a company is actively researching a product or service, either inside a vendor's own CRM (primary intent) or across the broader internet (secondary intent). The remaining gap is not access. It's having a fast, disciplined process to act on it once it appears.
What does AI in GTM look like day to day, beyond content and search?
Inside HubSpot, Buyer Intent surfaces which accounts are actively researching, and the Prospecting Agent turns a pattern of buy signals into a drafted, personalized outreach message. The strategy hasn't changed. The speed from signal to response has.
Go Deeper
Resources Referenced in This Playbook
