CASE STUDY

Formula Inbox

Real ChatGPT citations.
Real pipeline.
Zero content work.

How growing email deliverability consultancy Formula Inbox published 80+ branded memos, earned sourced ChatGPT citations, and closed business from AI search — without the founder writing a word.

THE COMPANY

Formula Inbox: emerging as a leader in email deliverability consulting

Founded by Truitt Dill, Formula Inbox is emerging as a leader in email deliverability consulting. They audit sending environments, rebuild infrastructure, and run ongoing monitoring for $5–50M+ companies whose marketing, sales, and transactional email share one domain — and one reputation.

Day to day that means fixing the cascade that starts when cold outreach, list quality, or authentication goes wrong and inbox placement collapses. The work speaks for itself: 25+ clients, 50M+ emails managed, 90%+ inbox placement rates.

The Formula Inbox homepage — inbox placement equals revenue, client logos, and expert email deliverability services

FORMULAINBOX.COM ↗

THE SITUATION

What Formula Inbox needed solved

Formula Inbox had many of the same marketing problems plaguing lean teams every week: AI search matters, capacity does not exist, and there is no clean signal to prove progress. For Formula Inbox it looked like this.

No time to create content

With the team closing deals, onboarding contractors, and running client work, content was not getting to the top of the priority list — but its importance was still understood.

AI search needed a strategy

Formula Inbox knew buyers were asking ChatGPT and other AI models to recommend email deliverability experts. The challenge: the team had no real strategy to show up in those answers and maximize the channel.

Other brands were winning

When the team tested the queries themselves, warming tools and thin listicles showed up — not qualified consultancies like Formula Inbox.

No clean way to measure it

So much of AI search was a black box, and referral traffic was limited. The team needed sourced proof beyond manual simulations: real citations, real traffic, and real buyers who said how they found the brand.

THE BUSINESS IMPACT

Pipeline was hiding in AI answers. The context existed — the content did not.

Formula Inbox runs on new business meetings, with a goal of doubling weekly activity. Buyers were already asking AI for deliverability experts. When the answer listed warming tools, thin listicles, or other consultants instead of Formula Inbox, that was a meeting that never materialized.

The demand was real. Prospects had shared that they found Formula Inbox through ChatGPT queries about boutique email deliverability firms — but nothing systematic was in place. The channel was working by default. It needed to work for Formula Inbox by design.

THE SOLUTION

Ensure AI got the memo about Formula Inbox’s capabilities

Context Memo deployed a dedicated memo site at ai.formulainbox.com, built on the context already living on formulainbox.com. A subdomain, so the main site carries no risk. The platform learned the brand’s voice, simulated buyer prompts and logged the results, prioritized content opportunities, and published factual, grounded, structured reference content AI engines would cite — in Formula Inbox’s established tone.

Aside from reviewing some of the initial content, a 30-minute weekly call, and a login every week or two, Formula Inbox took a hands-off approach so the team could focus on closing deals. No content calendar, no reviewing every piece. Once trust in the system was established, the pipeline identified what content was needed and published it based on market signal — without anyone writing drafts.

A published Formula Inbox memo on ai.formulainbox.com

A PUBLISHED MEMO — STRUCTURED, FACTUAL, WRITTEN TO BE CITED

HOW IT WORKS

More detail on how the process worked

01

Focus on brand context, not AI-generated slop

The platform learned Formula Inbox's positioning and other strategic components — core services, ICP, proof points, and what Formula Inbox deliberately does not do.

02

Map the prompts, personas, and intent stages

Buyer-intent prompts around email deliverability consulting were mapped and simulated — the questions their $5–50M buyers ask ChatGPT, Claude, and other AI models.

03

Publish on autopilot, with agentic QA

Citation-grade memos ship to ai.formulainbox.com on a two-a-day cadence. An agentic quality gate checks for redundancy and quality standards before anything publishes.

04

Find other sources of context with Granola

Granola.ai transcribes the team's virtual calls, and Context Memo mines them for real problem statements — then combines those with brand context to create net-new content. Real customer language feeds the engine without Formula Inbox writing anything.

05

Prove it with signal, not just simulations

AI crawler fetches, search console and analytics traffic, and real-time citation activity land in one dashboard — a holistic picture of performance, with automated email and Slack notifications surfacing the most important insights daily.

Formula Inbox brand context in Context Memo — positioning, things we don't do, and topics to avoid

BRAND CONTEXT — POSITIONING, PROOF POINTS, AND WHAT FORMULA INBOX DELIBERATELY DOES NOT DO

Granola call insights feeding Formula Inbox's memo board

GRANOLA → INSIGHT WORKBENCH — CALLS BECOME CONTENT WITHOUT A WRITING QUEUE

THE STACK

Integrations that bolster the stack

Calls go in as raw material. Search, analytics, and AI-bot data come back as proof. No weekly reporting deck.

Google Search Console
Connected

Branded search volume as a lagging indicator of AI-driven awareness

Google Analytics
Connected

Human traffic and AI referral clicks on the memo subdomain

Bing Webmaster
Connected

Copilot and Bing AI citation impressions

Granola
Connected

Sales and client calls mined into content — no writing required

Slack
Next up

Visibility digests delivered where the team actually works

Cloudflare
Next up

AI bot tracking on the corporate site via a self-hosted worker

THE RESULTS

Real data: sourced ChatGPT citations, AI fetches, and attributed pipeline

32,000+
AI engine fetches
Crawls and retrievals across 22 AI providers since launch
2,500+
ChatGPT User fetches
Sourced citations from real users browsing via ChatGPT — in under 100 days
80+
Memos published
Citation-grade reference content on ai.formulainbox.com
3+
Net new attributed pipeline deals
In under 100 days — including closed-won business Formula Inbox traced to AI search discovery

ChatGPT User fetches are sourced citations — real people in real AI sessions pulling Formula Inbox pages into answers. Across 80+ measured memos, 88.2% have earned real pickup. Total AI engine fetches include crawling and retrieval across providers. We do not treat synthetic scan counts as the same signal.

Formula Inbox performance dashboard — ChatGPT User, Bingbot, PerplexityBot, and Googlebot fetch activity

PERFORMANCE — DAILY AI FETCHES BY PROVIDER, LAST 30 DAYS

FROM THE FOUNDER

“We closed a new deal from AI search last week and have more in the pipeline thanks to Context Memo. They are on the front lines figuring this new channel out, and we’re thrilled to be a partner.”

TRUITT DILL — FOUNDER, FORMULA INBOX

WHAT’S NEXT

What’s next for Formula Inbox?

ChatGPT paid ads

OpenAI's ad platform is in beta. Formula Inbox is lining up an early-mover trial on bottom-of-funnel queries before competitors show up.

Call tracking & dynamic offers

Phone routing and dynamic offers so every lead from an AI answer gets captured, attributed, and converted — not just counted.

Conversion optimization

With visibility established, focus shifts to converting the traffic: pricing content, sharper CTAs, and attribution on every booking.

YOUR TURN

Join Formula Inbox and many others.

Same starting point: no spare hours, AI search as a black box. Four months later — sourced ChatGPT citations and deals that trace back to the channel.

See the live memo site