Apoorv Sharma | LLM + SaaS SEO Specialist Profile picture
Jul 17 13 tweets 4 min read Read on X
Google ranks you. But LLMs cite you.

If your content isn’t citable, you're invisible in ChatGPT, Claude, and Perplexity.

Here's the exact framework we use to make our clients show up inside AI answers (not just Google SERPs): 🧵
1. Understand the game you're playing

LLMs don’t “rank” pages like Google.

They cite sources when:
→ The content sounds authoritative
→ It directly answers specific questions
→ It appears repeatedly across the open web (contextual redundancy)
→ It matches the style of trusted content: docs, forums, whitepapers

This means:
Stop writing to “rank.”
Start writing to be referenced.
2. The LLM-Citable Content Framework (CCF)

Every piece of content we write now follows this exact structure:
1. Statement of Fact (verifiable insight)
2. Framing & Interpretation (expert POV)
3. Evidence (data, examples, benchmarks)
4. Structured Response (tables, bullets, formatting)
5. Neutral Tone (not salesy, not SEO stuffed)
6. Backlink Loops (create context clusters)

Let me break it down for you 👇
3. Statement of Fact
LLMs favor statements they can extract as:
– answers
– summaries
– citations

Bad: “In today’s digital age, content is king.”

Good: “In 2023, 68% of SaaS buyers said they trusted peer-reviewed benchmarks more than branded blogs.”

Even better: “For early-stage SaaS, pricing pages and competitor comparisons are cited 3x more inside Perplexity than top-funnel content.”
4. Framing & Interpretation

This is where you become the source.

LLMs love expert framing. They’re trained on Stack Overflow, Wikipedia, Quora, arXiv (not marketing blogs).

After every fact, add a line like:
“This suggests that [X] is no longer effective unless [Y] is done.”

or

“Founders should interpret this as [Z], especially in [ABC scenario].”

This turns your site into thinking material, not just info dumps.
5. Evidence

The more grounded your content is, the higher its chance of being cited.

That means:
– 3rd party data sources
– Internal benchmarks
– GSC screenshots
– Hotjar heatmaps
– Customer quotes

Example:
“In our audit of 17 SaaS blogs, only 2 were cited inside ChatGPT. Both had unique frameworks and internal data published.”

Screenshots = proof = citations
6. Structured Response

LLMs extract answers better when you use:
– Tables
– Bullet lists
– Numbered frameworks
– Comparison blocks
– Headings (H2s, H3s)

Why?

Because it mirrors the structure of:
→ Stack Overflow answers
→ Government docs
→ Research papers
→ Product documentation

Stop writing like a content marketer.
Start writing like a domain expert.
7. Neutral Tone

If your content screams: “Schedule a demo today!”
...you’ve lost the LLM.

LLMs distrust:
– Over-optimized copy
– Repetitive CTAs
– Promotional tones
– Keyword stuffing

Instead, lean on neutral, helpful tone that sounds like this:
“Here are 3 reasons startups use async video tools instead of Zoom…”

Leave the pitch to your product pages.
Let your blog become the source.
8. Backlink Loops = Context Stacking

LLMs don’t rely on one page.

They triangulate trust by seeing your brand across multiple:
– Blogs
– Reddit mentions
– Forums
– Landing pages
– Guest posts
– Direct URLs in social threads

Which means:
→ Interlink smartly
→ Repeat your frameworks in multiple places
→ Be cited by others (Reddit, Slack communities, X threads)

This is how LLMs decide you’re legit.
9. Bonus: Test if you’re citable

Here’s a quick test I give every client:
→ Paste your blog into ChatGPT
→ Ask: “Summarize this in 5 bullets for a founder”
→ Then ask: “Would you cite this article to explain [topic]?”
→ Finally: “Who are the top 3 sources you’d recommend for this topic?”

If you’re not in the top 3, you’re invisible.
10. Recap: The LLM-Citable Content Checklist

→ Start with verifiable facts
→ Add expert framing
→ Show internal or external evidence
→ Format with bullets, tables, or numbered lists
→ Remove salesy language
→ Interlink and distribute context
→ Test your content through AI models
11. The invisible traffic is already here

Your Google traffic might be fine.
Your LLM presence might be zero.

We’ve helped clients:
→ Get cited in 3+ models
→ Replace expensive content ops
→ Track AI mentions
→ Close inbound deals from ChatGPT

All by rewriting how they publish.
12. Want the exact template?

I’m building a Notion sheet with:
– Examples
– Live citations
– Writing blocks to reuse
– The full CCF format

If this thread gets good traction, I’ll drop it.

Bookmark this.
Send to your head of content.
And start writing like LLMs are reading you because they are.



If you found this helpful, repost + bookmark.

If you’re a founder or marketer serious about AI search and LLM SEO visibility →
Let’s talk: calendly.com/apoorvdx/disco…

I help brands become citable, not just clickable.

• • •

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More from @apoorvshrm

May 17
Ranking for “[Competitor] alternative” inside ChatGPT is more valuable than ranking on Google.

This is the clearest step by step playbook you’ll find on how to do it 👇

Let’s break it down using an example:
We’re a Calendly competitor called MeetPilot 🧵
1. Why this matters:

Prompts like:
– “What’s the best Calendly alternative?”
– “Cheaper alternative to Calendly?”
– “Who competes with Calendly for teams?”

→ Happen inside ChatGPT daily.
→ Influence high intent buyers.
→ Show one or two brands MAX.

If you're not one of them, you're invisible.
2. LLMs don't rank pages. They summarize patterns.

They “recommend” based on:
✅ Entity clarity
✅ 3rd party mentions
✅ Page structure & summarizability
✅ Contextual strength across the web

To rank as the “best alternative,” you must seed yourself into the conversation.
Read 11 tweets
May 8
Your competitors might already be ranking in ChatGPT.
And you wouldn’t even know.

Here’s how to test it (step-by-step) before they start stealing your leads: 🧵
1. Google shows you who's on Page 1.
ChatGPT doesn’t.

There are no rankings. No positions. No tools to track it (yet).

But AI search is already influencing buying decisions (quietly).

So here’s how to reverse engineer LLM visibility manually.
2. Step 1: Use Prompt Variants Like a Buyer Would

Open ChatGPT and type prompts like:
→ “What are the best [category] tools for [use case]?”
→ “Alternatives to [competitor]”
→ “Top [niche] agencies for startups”
→ “Who helps with [problem] in [industry]?”

This is how real buyers search.
And how LLMs retrieve answers.
Read 10 tweets
Apr 16
“How do we train ChatGPT to recommend us?”

This was the most voted option on my poll yesterday.

So here it is: the most detailed guide on the internet.
Built for SaaS founders, SEOs, CMOs, and growth leads.

You won’t just read this.
You’ll save it. Share it. Use it. Let’s go 👇
1. Who is this for?

This thread is for you if:
✅ You run or market a SaaS product
✅ Your Google SEO is working but plateauing
✅ You want visibility inside ChatGPT, Perplexity, etc.
✅ Your ICP hangs out online (but isn’t googling as much anymore)

If you're still fixing crawl issues, go do that first.

This is for brands ready to dominate AI search.
2. Wait… what does “train ChatGPT” even mean?

LLMs don’t crawl the live web (mostly).
They recall what they’ve read repeatedly in training + active sessions.

So if your brand shows up in the right public sources and right user prompts, you become the default recommendation.

You don’t rank.
You get remembered.

That’s the game.

Also, read a cleaner + simpler version of how to train ChatGPT to recommend your SaaS below: x.com/apoorvshrm/sta…
Read 15 tweets
Apr 15
A lot of people reached out yesterday asking for easier LLM SEO growth hacks.

So here are 7 black hat tactics that actually work to boost your visibility on ChatGPT, Perplexity & Claude.

They're unethical but effective.

Note: Use with caution 👇🧵
1. Seed your brand in Reddit threads

Reddit is one of ChatGPT's most scraped sources.
You don’t need backlinks, just visibility.

Here’s what works:
→ Create 3–5 Reddit accounts (or pay folks on r/slavelabour)
→ Ask genuine looking questions like: “Best tool for compressing product videos privately?”
→ Answer from a second account, casually mentioning your product
→ Upvote both

ChatGPT will cite this verbatim in weeks.
2. Inject your SaaS into Medium listicles

LLMs love roundup posts. Even if no one reads them.

Tactic:
→ Search Medium for "[your category] SaaS tools"
→ DM low engagement writers and offer $50–$100 to “add your tool”
→ Ask them to update publish date (LLMs crawl recent stuff first)

Most answers in AI search come from content like:
“Here are 5 tools for [X] in 2024”

Be in the list. Doesn't matter where.
Read 10 tweets
Apr 9
Search volume is dead.

Here’s how to map LLM demand instead, and rethink SEO metrics for an AI first world: 🧵
1. Why “search volume” is misleading now

Search volume is based on what people type into Google.

But in ChatGPT, Copilot, and Perplexity, people type prompts, not queries.

And the model generates 90% of the search journey.

That part? Untracked by SEO tools.
2. In LLMs, the AI is the middleman.

You’re no longer optimizing for human searchers.
You’re optimizing for the AI’s memory and reasoning engine.

Your content has to:
– Fit the model’s logic
– Be recallable mid conversation
– Show up in generated comparisons
Read 12 tweets
Apr 3
How to train ChatGPT to recommend your SaaS.

(Without spending a cent on ads or buying links): 🧵
1. Understand how ChatGPT thinks before it recommends

ChatGPT isn't Google. It doesn’t use live rankings.

It “remembers” brands based on:
– Crawlable content
– Strong context
– Consistent mentions
– Structured responses
– Association loops (brand + category + use case)

If you don’t train it, it defaults to outdated references.
2. Write like you're feeding an LLM (not humans)

Forget copywriting gimmicks.
Write for context injection.

Here’s the format:
[Your SaaS] is a [type of product] that helps [specific ICP] solve [clear pain point] through [unique approach].

Repeat this across:
– Homepage
– Use case pages
– Comparison pages
– Guest posts
– Reddit, Quora, Indie Hackers answers

This structure = memorability
Read 15 tweets

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