- 1,221 purchases
- 1,339 citations in ChatGPT & Perplexity answers
- +60.8% revenue over the period
Get +30%* paying customers from GPTs.
People now ask ChatGPT what to buy. We find out what it tells them about your market — then write, publish and place what makes it recommend you.
Free analysis · 2 minutes · no card
* More paying customers coming from AI answers in 90 days — a typical result on budgets from $2000 a month. Your exact target is set after we measure where you stand today.
The hard part isn't knowing GPTs matter.
The key challenge to drive sales is knowing what to write, where, and who to collaborate with. We analyse it — and do all of it for you.
GPTs Answers for each buying stage
- From researching the problem “how do I…” — to comparing with alternatives
- “Best X for Y” lists and /vs/ pages
- Correct facts and user reviews for AI to repeat
Places GPTs read
- Your own site, made readable for AI
- G2, Capterra, directories, app stores
- Reddit, Quora, the roundups AI cites
People GPTs trust
- Authors of the lists your buyers see
- Partners and “made with” mentions
- Reviews from real customers
How companies drive sales from GPTs
Public results other companies have published. Not SAGEO clients — proof of what the channel already pays. Every number links to its source.
- Up from under 1% six months earlier
- Fastest-growing signup source
- Content rewritten as direct answers
- Competitors lost 34.5% of traffic to AI Overviews
- 24% signup conversion from LLMs vs 4% from non-brand SEO
- LLM signups 168 → 983 quarter over quarter
- +37% new signups from answer engines
- Brand visibility 30% → 45%, #1 in citations
- 710 purchases
- +32.7% total brand revenue
- 1,392 AI citations
- 2,000+ new users via AI tools (tracked only)
- Bootstrapped team, no ad budget
- AI visibility under 1% → 20%+ of buyer prompts
- 20 “best of” and comparison articles, 154 new brand mentions
- Two pages written for AI answers
- 300+ citations, #19 → #8 in the category
Figures as published by the company or its agency; attribution methods differ. SAGEO did not run these projects.
What growth to expect for your budget
Why traffic turns into customers here: people who come from a GPT answer have already compared options and arrive ready to buy. At Webflow they sign up at 24% — six times the rate from non-brand Google search.
Your numbers, not ours: we agree the exact targets once we know your project — your starting point, category and budget — before you pay.
Qualified = visits from AI answers to product, pricing, comparison and signup pages. On plans from $2,000 a month.
And what to write, where, and with whom to change it.
Free analysis · 2 minutes · no card
Sources and further reading
Research and data
- GEO: Generative Engine Optimization (Aggarwal et al., 2023) · arXiv
- Ranking for fan-out queries and AI Overview citations (173,902 URLs) · Surfer
- How many AI Overview citations come from the top 10 · Ahrefs
- State of AI search: 48 months of data · Rankability
- Query fan-out, explained · Ahrefs
- Why AI recommends your competitor: sources by buying stage (our data) · SAGEO
Results on this page
- OppoSuits and Pink Stork: revenue from AI answers · AEO Engine case studies
- ChatGPT now refers 10% of new Vercel signups · Guillermo Rauch, Vercel CEO, on X
- Squaremouth: 270% more revenue from ChatGPT in 6 months · Previsible case studies
- Webflow 2x'd sign-ups from LLMs · Graphite
- How OpusClip reached 45% brand visibility in 30 days · Profound
- From 2 to $3M ARR: how we bootstrapped Tally · Tally blog
- Auto parts retailer grows AI search revenue 344% in six months · Visibility Labs case study, via MarTech Series
- How Ramp increased AI brand visibility 7x in accounts payable · Profound
How AI engines read websites
- Overview of OpenAI crawlers (OAI-SearchBot, GPTBot, ChatGPT-User) · OpenAI
- AI features and your website · Google Search Central
- Google's common crawlers, including Google-Extended · Google Search Central
- Perplexity crawlers · Perplexity
- Grounding with Google Search · Gemini API docs
- Web search tool · Claude docs
Standards and tools
- The llms.txt proposal · llmstxt.org
- IndexNow: tell search engines a page changed · indexnow.org
- Bing Webmaster Guidelines · Microsoft Bing
- FAQPage structured data · schema.org