Because Everything Else Is Just SEO

Let’s be honest: most of what’s being called LLMO (Large Language Model Optimization), GEO, AI SEO, or AISO today is really just traditional SEO with a generative twist.

Same tactics. Slightly different angle.

You optimize your content—technical structure, metadata, relevance signals—and hope it gets discovered, crawled, and ranked.

With search engines, this is a one-way transaction:

• You put your content out.

• A crawler decides when (and if) to visit.

• The algorithm decides how much time it spends and what to include in its index.

• And eventually, you might show up in a relevant result.

That’s the game we’ve all played with Google for decades.

But here’s where LLMs break the pattern:

You can talk to the crawler.

LLMs don’t just passively index content, they actively retrieve, read, and reason based on what you feed them in real time.

And unlike traditional crawlers, you can guide that process:

• Trigger models to visit and re-visit your content.

• Highlight specific sections worth “remembering.”

• Provide real-time feedback if content is misunderstood.

That’s not SEO. That’s a two-way dialogue.
And it unlocks entirely new possibilities for brand visibility.

💡 Meet “Warm-Up”: The Feature That Programmatically Delivers Your Content to LLMs

Warm-Up is a new experimental feature we’ve been testing with great success at ALLMO:

We proactively send signals to LLMs to explore and engage with your content.

We’re not talking about manipulating rankings or playing dirty with competitors. It’s about helping LLMs discover and contextualize your content more effectively, so they can do what they’re designed to do: deliver the best possible answers.

LLMs can’t include what they haven’t seen.
And too often, high-quality content simply gets missed—not because it lacks value, but because the model was never made aware of it.

Warm-up doesn’t guarantee citations or rankings. It just increases your odds of being included fairly, in a system built to reward useful information.

🚀 How to Use It:

Go to 👉 app.allmo.ai/warm-up

1. Add a page you want to boost—or select any page already listed in your Search Index.

2. Start the cycle by clicking +Perplexity or +ChatGPT (or both).

3. That’s it: Warm-Up starts immediately and runs automatically over the next 5 days.

Behind the scenes, ALLMO runs a coordinated cycle of queries, prompts, and feedback loops to ensure the models actually engage with your content.

🔥 When to Use Warm-up

🔄 1. New Content You Want Indexed Fast

Publishing something new? Don’t wait for LLMs to discover it “organically.”
Our own tests show that new URLs get into the consideration set up to 6 days faster in comparison to organic discovery.

Great for:

• Product launches

• New feature docs

• Strategic landing pages

• Fresh blog posts

👀 2. Existing Content That’s Not Showing Up in AI Responses

Some of your best pages may never get picked up by ChatGPT or Perplexity, even if they rank well in Google.
Warm-Up helps you nudge LLMs to notice and reevaluate your content.

Especially helpful for:

• Evergreen guides that should rank but don’t

• Brand pages that aren’t getting mentioned

• Long-form content that’s buried too deep

Warm-Up helped up to 60% of unindexed pages get discovered by LLMs within just 5 days, based on our latest data.

🧠 3. Correcting Outdated or Wrong Information

Some LLMs still rely on training data that’s months—or years—out of date. That means they may present inaccurate, outdated, or misleading information about your company, product, or pricing.

Warm-Up helps you proactively correct the record by nudging models to re-engage with your updated content and reinforce the correct facts through interaction.

Especially useful for:

• Company name changes, acquisitions, or pivots

• Updated product positioning

• Incorrect pricing, team, or roadmap details

• Replacing legacy third-party sources with your own

🗞️ 4. Time-Sensitive News & Breaking Coverage

LLMs often lag behind on fast-moving stories, especially during major news cycles. For media outlets, that delay can mean missed traffic, misattributed sources, or loss of narrative control.

Warm-Up helps newsrooms bridge the gap by programmatically prompting LLMs to engage with your article immediately after publishing, rather than waiting days or weeks for passive indexing.

Ideal for:

• Breaking news

• Live updates and developing stories

• Timely opinion or analysis pieces

• Coverage tied to trending topics or search spikes

If you want your reporting cited first, or want to prevent outdated sources from dominating AI-generated summaries, Warm-Up gives your newsroom the edge.

📊 What We’re Seeing So Far

While we’re still in early testing, the numbers are exciting:

• New page listing time reduced by up to 6 days:
  Results in minutes, not weeks, especially for domains that are already moderately active.

• LLM traffic increases of 20–200%:
  These gains are being tracked both on specific warmed-up pages and at the domain level. (Yes, correlation isn’t causation, but the signal is strong.)

• URL visibility success rates improving:
  Even if a model doesn’t pick you up on first crawl, repeated warm-up interactions increase the chance it will engage on deeper, more specific queries.

Curious if Warm-Up works for your content?
Join ALLMO and run your first test—it only takes a few clicks to get started.