How to rank #1 on ChatGPT (in 100 days)
traditional SEO is dying.
most people spend $10k/mo but get mediocre results
meanwhile we’ve helped companies:
- generate $1.8M+ in revenue from organic reach
- grow from <10 to 250+ daily non-branded clicks (7,500/mo)
- scale from 6,000 to 60,000+ monthly visitors
just by taking advantage of the new arbitrage opportunity in SEO:
AI discovery.
The Rise of LLMs
over 40% of AI users say AI search is their preferred source of insight, even over Google.
ChatGPT has hundreds of millions of active users, with billions of monthly visits worldwide.
this presents an incredible opportunity to get your company in front of thousands of potential clients in a fresh new market
but in order to show up in LLM answers, you need to first understand two things:
- what “ranking in ChatGPT” actually means
- how LLMs decide what to include in answers
a brand ranking well in LLMs means they’re repeatedly included when users ask:
- “what’s the best X for Y?”
- “A vs B?”
- “how do i do X?”
this means to compete in LLM answers, you need to be included across many prompts.
when synthesizing these answers, LLMs doesn’t browse the whole internet.
they pull from a small set of trusted sources, extract patterns, and either mentions them directly or rephrases their advice.
if you’re not part of that source set, you don’t exist.
here’s exactly how to rank in LLMs:
1. Solution Validation
SEO teams usually think validation comes from:
- engagement metrics
- backlinks
- rankings
- traffic
all of that still matters.
but none of it tells AI when to recommend you.
what actually validates a solution to AI is proof that:
- you solve a specific problem
- for a specific type of buyer
- consistently, across multiple sources
they look for pages that clearly answer questions like:
- “what’s the best x for y?”
- “how does a compare to b?”
- “what should we use if we have this constraint?”
if your site doesn’t explicitly validate those use cases, AI can’t even see you.
so instead of generic, we focus on building:
- solution pages for exact buyer scenarios
- comparison pages that spell out tradeoffs
- clear explanations of who you’re for and who **you’re not
we saw the impact this had clearly with a B2B EdTech client we recently worked with.
they had solid SEO fundamentals honestly.
ranked for high-intent keywords and drove thousands of organic clicks.
but when educators went to AI and asked questions like:
”what learning management system should we use?”
they never showed up in the answers.
after rebuilding their site around solution validation, the brand appeared in 30+ ai-generated recommendations within a month.
and on top of that, organic traffic grew from ~6,000 to 60,000+ monthly visits.
2. Programmatic Coverage
most SEO strategies still focus on:
- pillar pages
- topical clusters
- publishing cadence
with the main goal of achieving breadth.
the problem is most buyers don’t explore breadth anymore.
instead, LLMs favor brands that appear:
- repeatedly
- consistently
- across many related prompts
instead of ranking through volume, you rank because repetition signals confidence.
if AI sees your brand associated with the same problem 50 different ways, it starts treating that association as fact.
to build this, we identify:
- every comparison they consider
- every variation of a buyer question
- every decision stage they pass through
then we create structured pages for each one.
this is how we helped a B2B SaaS break into queries dominated by incumbents for years, alongside brands with 10x more backlinks.
they went from <10 to 250+ daily non-branded clicks (7,500 clicks/mo)
with only traditional SEO, this would’ve taken years.
3. Entity Velocity
with traditional SEO, authority is built slowly over time.
but LLMs prioritize fresh & active consensus, allowing you to build it faster.
if your brand hasn’t been mentioned recently, AI treats it as outdated.
if it’s consistently referenced across:
- communities
- comparisons
- industry content
- review platforms
AI treats it as relevant right now.
to accelerate entity velocity, we focus on:
- strategic mentions (not just backlinks)
- appearing in discussions AI already trusts
- reinforcing the same position everywhere
AI reads active conversations, and if you’re not in them, you never gain the momentum necessary to be included in their answers.
most teams today are still optimizing for this flow:
search → click → compare → decide
but that’s no longer how buying works.
today it looks like:
ask ai → get shortlist → then maybe search
you have to account for this in your strategy, otherwise you lose sales to competitors capturing the demand before you.
don’t get me wrong, if you keep doing SEO the old way…
your rankings will improve & traffic may hold.
according to the dashboard, you’ll be doing great.
but AI will keep recommending your competitors instead.
and once those recommendations are solidified, displacing them gets expensive.
the good news is:
you don’t need to start over.
in fact, if you already have:
- solid content
- domain authority
- seo fundamentals
you’re 80% of the way there.
the remaining 20% is restructuring that foundation so AI can actually use it.
traditional SEO isn’t dead, but the decision layer is quickly shifting to AI.
the companies adapting now won’t have to fight for clicks later.
they’ll already be in the answer.
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