Case study: Gumlet turned ChatGPT mentions into 20% of inbound revenue. Read it →
Moment 04 · Pre-board sprint
Your next board slide on marketing isn’t going to survive the questions.
You know what’s coming. The “what did marketing generate this quarter?” question. The follow-up about pipeline attribution. The board member who’ll ask why blog traffic is up but pipeline isn’t. The CFO who’ll ask what the AI search investment line item actually returned. If your current report can’t survive those questions, this page is the playbook to fix it before the next board meeting.
★★★★★
5.0 on Clutch · Proven on Gumlet, REsimpli, Verito
Pipeline by channel · Q4
Organic search$1.42M
AI search$680K
Paid$240K
Direct$180K
Referral$95K
The slide that survives. Sourced. Attributed. Defended in the appendix.
The marketing report problem in 2026
The attribution chain between spend and pipeline is broken.
Duke and Deloitte’s CMO Survey keeps finding the same thing year after year: proving marketing ROI is the #1 challenge for marketing leaders. The reason isn’t that marketing isn’t working. It often is. The reason is that the chain between marketing spend and pipeline is broken in four specific places.
GA4 lumps AI into Direct
AI-referred traffic gets miscategorized, undercounting AI contribution.
Tools don’t track LLMs
Most attribution platforms don’t track ChatGPT, Perplexity, Claude, or Gemini as referral sources.
Citations and pipeline are separate
AI citation data lives in a separate tool from pipeline data. Nobody joins them.
Nobody owns the bridge
Marketing reports MQLs and traffic. Sales reports pipeline. The bridge is unowned.
Your board slide shows blog traffic up 23%. The CEO asks, “but where’s the pipeline?” You can’t answer in the language they want. SEO has had attribution conventions for 15 years. AI search doesn’t yet, and CFOs are starting to ask why.
What boards actually want to see
Three things on the marketing slide. Nothing else.
After working with B2B SaaS marketing leaders preparing dozens of board decks, the pattern is consistent. Boards want three things on a marketing slide.
01
A pipeline number tied to specific sources.
Not MQLs. Not traffic. Pipeline. Tied to channels. Defended with attribution.
02
A trajectory.
This quarter vs last quarter vs same quarter last year. Up and to the right, ideally. Down with a reason and a fix if not.
03
A defensible AI search story.
New in 2026. Boards know AI search is changing buyer behavior. They want to know if you’re winning or losing. “We’re working on it” isn’t an answer.
The 4-week board-prep package
What we’d build for you, week by week.
This is a focused, time-bound engagement. We’re not building a 6-month program. We’re building you a board deck that holds up to questions, plus the attribution infrastructure behind it.
1
Week 1
Attribution audit and the reality check.
We start by figuring out what your current numbers are actually saying, which is often very different from what your current report claims.
01
GA4 audit. How AI-referred traffic is currently being classified (almost always wrong).
02
Pipeline attribution audit. Which deals in the past 90 days touched AI search, SEO content, or branded queries (we’ll find more than you think).
03
AVS baseline scoring. Where you stand in AI search vs your top 3 named competitors.
04
Current report deconstruction. What your last board deck claimed vs what the underlying data actually supports.
By end of week 1: an honest read on what your numbers say, which is often very different from what your current report claims.
2
Week 2
The new attribution infrastructure.
We rebuild the measurement layer so the next report holds up. The work that should have been done six months ago.
01
GA4 custom segments for ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews as distinct referral sources.
02
UTM standards and referrer cleanup so AI-sourced sessions stop getting lumped into Direct.
03
Citation tracking across 50–80 ICP buyer prompts, run bi-weekly.
04
CRM tagging for pipeline that touches AI search (requires a 15-minute SDR training, not more).
By end of week 2: the data infrastructure for the next quarter’s board slide is in place.
3
Week 3
The board-ready report template.
We build the actual slide deck and the data behind it. Three slides plus the appendix that defends them.
01
One pipeline slide with pipeline sourced from each channel (organic search, AI search, paid, direct, referral) for the current quarter, last quarter, and same quarter last year.
02
One AI search slide with AVS trendline, citation share vs competitors, and AI-sourced pipeline number.
03
One trajectory slide showing what the next 1–2 quarters look like if the current investment continues.
04
The defense pack. A 10-page appendix with the methodology, the data sources, the assumptions, and the answers to the questions board members will ask.
By end of week 3: a deck that’s not just visually clean. It’s mathematically defensible.
4
Week 4
The dry run and the question-prep.
The last week before the meeting is preparation. By the time you walk in, you’ve already answered every hard question once.
01
A 90-minute red-team session where we play the role of skeptical board members and you defend the slides.
02
The question bank. The 15–20 questions board members typically ask, with pre-prepared answers and data points.
03
The objection bank. The 5–8 objections specific to AI search investment, with the data and case studies that defuse them.
By the meeting: you’ve already answered every hard question once. You walk in prepared, not hoping.
Why most reports fail the question test
Three failure patterns that kill credibility.
The board-prep package is designed to make all three failures impossible.
01
MQL substitution.
The report leads with MQLs because that’s what the marketing automation tool reports. Sales has already told the board most MQLs are unqualified. The board treats the MQL number as a flag for marketing ineffectiveness, even when other metrics are strong.
02
Vanity dashboard.
The report shows 8 different metrics, none of which are pipeline. The CEO has to do the math themselves. They usually don’t. The board concludes marketing can’t articulate its value.
03
Aspiration math.
The report projects forward with optimistic assumptions (“if AI search grows 40% next quarter...”). The CFO asks what’s backing those assumptions. There’s no data to back them. Credibility collapses.
Attribution credit to AI mentions
60%
Conservative, defensible to a skeptical CFO.
The fractional attribution model
The methodology CFOs sign off on.
For AI search, the attribution question is hard because the buyer journey often touches AI before touching anything trackable. ChatGPT recommends you, the buyer searches your brand directly, they land on your homepage, they request a demo. Last-touch gives all credit to direct traffic. First-touch is gone.
We use a fractional attribution model that assigns 60% credit to AI mentions when they appear in the documented buyer journey, with the remainder distributed across other touchpoints. The 60% is conservative (Discovered Labs and others have argued for higher), but it’s defensible to a skeptical CFO who’ll demand to know the assumptions behind any AI attribution claim.
The board-prep package includes the documented methodology, assumptions disclosed, math shown. CFOs sign off on conservative methodologies. They reject black-box ones.
What this looks like for you
Three common pre-board profiles. Three different defenses.
Most clients in this moment fit one of these three. The 4-week package adapts to the specific board pressure.
Profile 01
Q-end board meeting, budget under threat
6–8 weeks out · CFO skeptical
Budget for next quarter is being scrutinized. You need a defensible answer to “should we cut marketing.”
Engagement: 4-week board-prep package, then continued retainer if the board approves continued investment.
Profile 02
New CMO presenting for the first time
60–90 days in role · First big presentation
You inherited the marketing function recently. The board meeting is your first big presentation. You need to establish credibility, not just defend the existing program.
Engagement: 4-week board-prep package, structured to position you as the operator who diagnosed the attribution problem and fixed it.
Profile 03
Series B prep with investor diligence
3–6 months from raising · Marketing under the microscope
Investors will diligence your marketing efficiency, CAC, and channel attribution. You need a clean story before the diligence questions start.
Engagement: 4-week board-prep package plus continued retainer to maintain attribution infrastructure through the raise.
The proof point for this moment
One client. Numbers the board can’t argue with.
Gumlet now has a board-ready answer to “what’s our AI search contribution.” The underlying methodology is conservative, disclosed, and defensible.
Gumlet · Video infrastructure SaaS
The destination, not the median.
Most B2B SaaS marketing leaders are 12–18 months away from being able to defend numbers like these. The board-prep package gets you to a defensible interim version in 4 weeks, then continued work compounds the position.
The board doesn’t argue with Gumlet’s numbers because the attribution methodology is sound, documented, and conservative.
Monthly inbound revenue from AI search20%
Tracked AI citations in a single quarter9,847
ChatGPT session-to-signup rate3.9%
Standard blog traffic session-to-signup0.39%
Questions we get
Frequently asked.
The five questions every marketing leader on a board-prep clock asks us. Honest answers, not pitch answers.
Ask your own questionThey’ll believe them if the methodology is conservative and disclosed. They won’t believe them if the methodology is hidden or aggressive. We use 60% fractional attribution because it’s defensible to a skeptical CFO.
The board’s job is to challenge marketing’s numbers. The board-prep package is designed to survive that challenge.
That’s an honest answer for the slide: “AI search is becoming a primary discovery channel for B2B buyers. Here’s our current AVS baseline, here’s our top 3 competitors’ baseline, here’s the 90-day plan to close the gap, here’s the budget required.”
That’s a defensible slide even with no current work. It frames the next quarter’s investment ask.
The board-prep package is a 4-week intensive. Most clients continue into an ongoing retainer afterward because the attribution infrastructure we build needs to be maintained quarter-over-quarter.
About 70% of board-prep clients continue.
They will by next quarter. Gartner has projected traditional search volume to drop 25% by 2026. Every board with B2B SaaS exposure is starting to ask about AI search.
Going in with a proactive AI search story (even a baseline one) is significantly better than being asked about it without an answer.
You can. Most marketing leaders try. The reason this is a packaged engagement is that the work requires specific expertise: GA4 custom segment configuration, fractional attribution methodology, AI citation tracking infrastructure, and red-team preparation for board questions.
Most in-house teams can do 2–3 of these well. The board-prep package does all of them in 4 weeks because we’ve done it before.
What happens next
Send us your last marketing slide. We’ll show you the 3 questions it won’t survive.
Book a 30-minute board-prep strategy call. We’ll review your last marketing slide, identify the 3 questions it won’t survive in your next board meeting, and outline what the 4-week board-prep package would look like for your specific board.