Attack Plan: $240K in 60 Days for a B2B Content Agency

Foundation Inc is a distribution-first B2B content agency. 42 plus staff, roughly $8.1M revenue, clients including Canva, Figma, and Snowflake. Their founder Ross Simmonds literally wrote the book on content distribution.

Their previous outbound agency was sending gift cards and booking zero meetings.

We closed $240K in 60 days. Here is exactly how.

The Situation

Foundation had everything except a way to reach the companies who needed them most. Strong case studies. Industry-defining founder. The highest-ACV services in the GEO space ($30K initial retainers, $105K to $185K Reddit programs). No outbound infrastructure.

The category was exploding. Every B2B company was watching organic traffic erode to AI search. But most prospects did not know they needed Foundation yet. They knew something was wrong. They did not know what.

We did not listen to what Foundation told us about their market. We listened to their sales calls, their closed-won deals, and their closed-lost notes. Every inbound prospect was talking about one thing: Reddit. We pulled the thread.

The Google-Reddit partnership meant 97% of product-led search queries now showed Reddit in the top five results. Random strangers on Reddit were steering enterprise software buying decisions. That is not an SEO problem. That is an existential problem. And nobody was positioning around it yet.

The Strategy

Build a campaign where every email proves the problem exists before asking for anything.

No CTA on step one. No case studies in the opener. No social proof upfront. Step one surfaces a real, provable problem. Step two provides context and positions the solution. The prospect decides whether the problem is worth solving before we ever pitch.

The specific approaches:

• Built custom Reddit scraping infrastructure to find companies with negative posts showing up in product-led search results. Filtered by engagement threshold (likes and comments) to target only posts actually influencing buyers.
• Every email delivered the specific post: Did you see the post on r/X talking about Y? Link included. Not abstract. Undeniable.
• Ran 10 plus campaign angles simultaneously at low volume (10 to 30 emails per day per angle) to find winners fast without burning lists.
• Packaged the offer as a free Reddit audit showing the 20 highest-impact subreddit conversations for their category. Genuine deliverable, not a gate.
• When Reddit banned scraping mid-campaign, pivoted to GEO prompt rankings via Serpev. Same core insight, new execution. The redundant engine closed the biggest deal.

The Pipeline We Built

This was not spray-and-pray. Each step fed the next. The output of one became the input for another.

Step 1: Reddit Reputation Scraping

Input: Company name and product category.

Output: The exact Reddit post delivered directly in the email.

We built a custom scraper that crawled Reddit for posts mentioning specific companies. Filtered by engagement to surface only posts that were actually influencing buyers. Then we delivered the post to the prospect.

Not "you might have a Reddit problem." The email said: Did you see the post on r/insurance talking about you denying five pet claims in a row? Specific post. Specific subreddit. Specific problem.

We cross-referenced with Google to verify each negative post was actually showing up in product-led search results before sending. Zero assumptions. Every email was provable.

Step 2: Google AI Overview Scraping

Input: Product category and competitor landscape.

Output: GEO gap analysis showing exactly where prospects ranked in AI search prompts.

After Reddit banned scraping, we pivoted to Serpev for Google search at scale. Boolean queries found how companies positioned themselves in SEO. We checked where they showed up in AI search prompts.

We could tell a prospect: Right now you are 7th out of 10 for this prompt. Your competitor is first. Here is the exact makeup of the search. Platforms like Profound show you what is wrong but not how to fix it. We show you both.

47% of product-led queries answered by Reddit in AI Overviews with zero link clicks. Buyers never leave the SERP. That stat was in every email.

Step 3: Third-Party Authority Stacking

Input: Industry stats, partnership proof, founder credibility.

Output: A context layer that made the problem undeniable.

Every claim backed by verifiable data. The Google-Reddit partnership stats (97% of product searches show Reddit in top five, 600M monthly visitors). The Profound partnership (the company that measures AI visibility chose Foundation as their preferred partner). Ross Simmonds' credibility as someone who literally wrote the book on content distribution.

We never asked prospects to trust us. We showed them receipts.

Step 4: GEO Lead Magnet Retargeting via Trigify

Input: People engaging with GEO lead magnets, influencer content, and AI search education.

Output: Warm prospect lists of people who were eager to learn but had no solution yet.

Trigify monitored who was engaging with content about GEO, Reddit marketing, and AI search. These people were signaling: I know this is important but I do not know how to do it yet. That is the perfect prospect. Aware of the problem. Actively trying to learn. No solution in place.

This retargeting approach fed the GEO campaign that closed the $172K deal. People who engage with education content convert faster because they already believe in the problem.

Targeting

Three primary segments. Each with distinct pain triggers and distinct signals.

Segment 1: Companies with Negative Reddit Posts in SERPs

The primary angle. Booked meetings with Asana, LastPass, and dozens of 200 to 500 employee B2B SaaS companies. We scraped Reddit for posts with high engagement mentioning specific companies negatively, then delivered the post in the email.

Signals we looked for:

• Negative Reddit post with high engagement (likes and comments) appearing in top search results for product-led queries
• Product-led search queries returning Reddit results in top five (97% do, per Google-Reddit partnership data)
• Multiple negative threads across different subreddits compounding the reputation problem
• Company large enough that thousands of potential customers were seeing these posts monthly

Segment 2: Growth-Stage B2B SaaS (Series B through D)

Cloud 100 companies, DevTools, HR Tech, Sales Tech. $20M to $200M ARR companies whose organic traffic was eroding but had not connected it to AI search yet.

Signals we looked for:

• Hiring for GEO or AEO roles (Stripe, Palo Alto Networks, and Canva all had live postings during campaign)
• Competitor cited in ChatGPT for their primary category while they were not
• Series B or C funding closed in last six months (growth mandate plus budget)
• Organic traffic decline greater than 20% year over year visible in SimilarWeb or Semrush

Segment 3: Fintech and Financial Services $50M Plus

YMYL structural disadvantage in AI search. ChatGPT defaults to JPMorgan over challengers. Compliance friction makes content slow, which is exactly where Foundation's methodology delivers the most leverage.

Signals we looked for:

• New CMO hire in last 90 days (evaluation window open, budget conversations happening)
• Series B or C fintech funding announcement
• Published content about regulatory compliance and content marketing simultaneously
• Board-level pressure to prove content ROI with financial metrics

The Actual Emails We Sent

Three winning angles from 10 plus tested. These are the sequences that drove the bulk of the replies. Every subject line uses spintax for deliverability. Every email earned its place through reply data, not assumptions.

Sequence 1: The Competitor Trigger

Target: Growth-Stage B2B SaaS

Step 1 subject: {GPT rankings | missing piece in your LLM rankings}

Weird one {FIRST_NAME} — I asked ChatGPT about your category and your competitor showed up first.

Our founder Ross Simmonds spent 96 straight hours working (with a lot of caffeine) to build a full report on how Reddit and GEO techniques are impacting rankings like these.

Worth taking a look?

7.2% reply rate on the CB Funded Companies list. The casual opener outperformed formal alternatives by 3x.

Step 2 subject: Re: {GPT rankings | missing piece in your LLM rankings}

{FIRST_NAME}, not exactly a secret, but the Google-Reddit partnership changed everything.

Google, Perplexity, and GPT all let Reddit answer around 20+% of AI searches for product-led queries. Product-led queries are the ones closest to buying.

Meanwhile, 97% of product searches show Reddit in the top 5 results. And Reddit accounts for almost 600M site visitors every month.

Think about what this means: Your potential customers are reading random Reddit posts about your product instead of your content. That means buying decisions based on what strangers say on Reddit.

That's why our founder Ross Simmonds put together a full report on Reddit in 2025, including its effects on AI search, so you can control the narrative.

Interested in having a look?

The Reddit stat stack (20%, 97%, 600M) builds urgency through data, not pressure.

Step 3 subject: Re: {GPT rankings | missing piece in your LLM rankings}

Hey {FIRST_NAME}, realizing I might have missed the right person for Reddit content and reputation management. Would anyone you know be better to connect with about this on the team?

Also, a quick tip for a quick ranking boost: make testimonials on your homepage easily scrapable, as LLMs consider testimonials a better signal to rank than any other content on your homepage.

P.S. We're doing Reddit reviews for a few teams each month. We'll search through to find the most important subreddits for affecting AI rankings in your niche and present them to you.

The wrong-person redirect plus a free tip. Gives value even without a reply.

Sequence 2: The Reddit Audit Offer

Target: SEO-Mature B2B Tech

Step 1 subject: {unbundling reddit | unpacking reddit | high-intent searches | reddit review}

Hey {FIRST_NAME}, weird one, how are you tackling product-led search now that Reddit and AI are answering around 97% of them?

I ran a quick review. Spotted ~20 Reddit conversations full of 1000s of high-intent customers you could capture.

Would it be absolutely terrible to review it?

4.8% reply rate across 846 contacts. The humor tested 2x better than direct asks.

Step 2 subject: Re: Reddit is waiting

Also {FIRST_NAME}, it's worth noting that the audit surfaces adjacent queries focused on product-led searches on Reddit (since 97% of them are captured there in 2025).

I went ahead and checked those queries through traditional search as well (where LLMs often pull their answers).

Turns out your competitors dominate the rankings.

Our full Reddit report along with your personalized audit should give you everything you need to knock them out.

No need for a call, would a quick email back and forth work?

The "no need for a call" line lowered the barrier. Competitor mention creates urgency without aggression.

Sequence 3: The Value-First Breakup

Target: All segments as step 3 alternate

Subject: Re: GPT rankings

Looking back {FIRST_NAME}, I was being a bit abstract so let me share a few ideas that could get you started today on your own.

1. Grab the F5 extension and start monitoring for posts with competitors' names and share Reddit comments that demonstrate your unique positioning and value.

2. Update your testimonial intake form to have prompts that include your main focus for brand positioning so that when LLMs crawl user reviews and LinkedIn posts they see that you own a specific category.

3. Make testimonials on your homepage easily scrapable.

And then please please please, make sure your best blogs are posted on as many platforms as possible.

This should get you ahead of 90+% of companies in 2025.

If you'd like to go deeper, that audit is still on the table.

The breakup email that gives away real tactics. Generated the highest quality replies because prospects who responded had already tested the tips.

Results

The Reddit reputation campaign generated massive engagement. The GEO campaign closed the biggest single deal at $172K. That is the power of redundancy.

When Reddit banned scraping mid-campaign, revenue never stopped because we had already built a second engine from the same core insight. Market conditions changed. The machine kept running.

Tech Stack

• Custom Reddit Scraper: Built custom scraping infrastructure to find companies with negative posts showing up in product-led search results. Filtered by engagement to target posts actually influencing buyers.
• Serpev: Google search at scale using Boolean queries to find where companies ranked in AI search prompts. The key tool for the GEO pivot after Reddit banned scraping.
• EmailBison: Campaign deployment, sequence management, A/B testing, and deliverability monitoring across all 37 campaigns.
• Clay: Lead enrichment, company data layering, and signal-based filtering to qualify prospects before they enter sequences.
• Trigify: Real-time signal monitoring for retargeting people engaging with GEO and Reddit education content.
• Apollo: Contact data sourcing and email verification for VP Marketing and CMO-level prospects.
• Crunchbase: Funding event tracking to identify Series B through D companies with fresh growth mandates and budget.
• SimilarWeb and Semrush: Organic traffic decline monitoring to identify companies losing ground to AI search.

Timeline

• Week 1: Ignored client assumptions. Listened to sales calls, closed-won, closed-lost. Found the existential gap: everyone was talking about Reddit.
• Week 2: Scraped negative Reddit posts at scale. Built CCC campaigns (Curiosity, Context, Cash). Launched 10 plus angles at low volume.
• Weeks 3 to 4: 22 calls booked in first 30 days. Reddit reputation angle generating massive engagement. Then Reddit banned scraping.
• Weeks 5 to 6: Pivoted to GEO prompt rankings using Serpev. Same core insight, new positioning. Redundancy saved the campaign.
• Weeks 7 to 8: GEO campaign closed $172K single deal. Total: $240K in 60 days. The redundant engine outperformed the original.
• Ongoing: Evergreen campaigns running at 10 to 30 emails per day per angle across both Reddit and GEO positioning.