Buyers research with AI, not Google.
B2B software is the #1 use case people use ChatGPT for at work. Your buyer is asking it for a shortlist while their commute is still happening. The funnel starts before they ever land on a marketing site.
SaaS buyers don’t open Google first anymore — they ask ChatGPT for a shortlist. Three names come back. If you’re not one of them, you don’t even get the demo request. We get you on the shortlist, then keep you there.
B2B software is the #1 use case people use ChatGPT for at work. Your buyer is asking it for a shortlist while their commute is still happening. The funnel starts before they ever land on a marketing site.
For SaaS categories, ChatGPT pulls heavily from Reddit threads, G2 / Capterra reviews, listicles, and Hacker News discussions. Your own marketing site is rarely the primary source — even when you’re the category leader.
When a buyer narrows from 3 to 2, the next prompt is “X vs Y” or “alternatives to X”. Whoever owns the comparison real estate — both on their own site and across the citation sources — wins the second-stage shortlist.
AI doesn’t cite the page that re-summarized the same five points every other vendor in your category did. It cites the page with a specific, defensible take — backed by data your competitors don’t have, written for the exact persona asking. Two moves we run that most SaaS content programs skip entirely.
Sales calls, support tickets, customer-success transcripts, founder-to-customer Slack threads — every SaaS company has a warehouse of buyer questions that no keyword tool will ever surface. Most of it sits unread.
We extract those questions and turn them into specific, long-tail content — the question-and-answer pairs LLMs decompose complex prompts into. Long-tail is the GEO play, not the SEO play: SEO rewards a few head terms, GEO rewards thousands of specific factual answers your conviction is the source for.
A SaaS company that sells to founders, IT directors, and ops leads is selling three products. Each persona asks different prompts, evaluates against different criteria, and surfaces in different threads. A single mega-plan optimizes for nobody in particular.
We run a separate prompt map, content plan, and GEO program per persona — and tie each back to its own pipeline. The persona with the highest pipeline contribution gets the most weekly throughput. Reporting splits by persona too.
We map your category against every prompt shape and audit the citation source for each. Different shape, different source page — the playbook bends per type.
Not a keyword tool dump. We pull the 80–200 actual prompts your buyer types into ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews — segmented by funnel stage and ICP.
Your /vs/, /alternatives/, and /integrations/ pages, written and ranked. Plus the matching Reddit and review-site threads where the comparison actually gets settled. Most SaaS sites have stub /vs/ pages and no third-party presence — both shipped.
B2B SaaS buyers live on Reddit. We identify the 8–15 subreddits your buyer actually uses, build account history, and earn citations in the threads AI cites — without sounding like a vendor in a community.
Pricing page (the most-cited SaaS URL), homepage entity signals, schema, integration pages, llms.txt. Most of our SaaS clients have a strong product and a citation-unfriendly site — the technical layer is what unlocks the rest.
Weekly dashboard: citation share by prompt, branded-search lift, demo requests with AI-source self-report, and pipeline. We measure to the demo form, not to the rankings page.
The buyer narrows to two names. They search “X vs Y”. The page they land on shapes the next 30 minutes of the evaluation — and AI cites that same page when they ask Perplexity to summarize it.
Most SaaS /vs/ pages are written by marketing in 90 minutes and read like marketing wrote them in 90 minutes. We rebuild them as honest comparison documents — fair on the competitor’s strengths, sharp on yours, structured the way AI parsers expect. The honest framing is what wins both the human and the bot.
A mid-market workflow automation platform with strong product reviews, a healthy paid funnel, and almost no organic AI presence. Three larger competitors held 80% of the AI shortlist for their category prompts. Demo requests had plateaued.
We mapped the 110 buyer prompts that mattered, rebuilt the /vs/ and /alternatives/ pages, ran Reddit GEO across 9 ops and engineering subreddits, and shipped the schema + llms.txt the site was missing. By week 14 the platform held 61% citation share on its top buyer prompts and AI-attributed demos were the largest new channel.
Read the full case study →Run a Live Audit. We pull your product against competitors on the top 30 SaaS buyer prompts in your category — across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews — and send the full report to your inbox.