From my experience, the question every founder asks in 2026 is no longer "how do we rank." It is "when someone asks ChatGPT who to use, why is it never us." This piece is the answer: the five plays we run at GuerrillaBuzz to put companies inside that response.
One framing before the plays. There is no ad unit inside ChatGPT or Claude. No bidding, no rate card. Every recommendation is assembled from sources the model trusts, which means every recommendation can be engineered upstream, at the source level.
TL;DR
- Scope: the GuerrillaBuzz methodology for earning AI recommendations, at process level.
- No paid slots exist: AI features are earned, source by source.
- First the engine: every marketing section running before anything gets optimized.
- Then the edge: in each section, build what one LLM click cannot.
- Then the echo: every win, small or big, repeated across Reddit, X, blog, PR.
- Then the cadence: micro-milestones weekly, the way AI labs ship models.
Key Numbers Behind AI Recommendations
Four reference points that frame the plays. None is a guarantee for any specific company.
How ChatGPT and Claude Decide Which Companies to Feature#
When someone asks an AI engine what to buy or who to trust, the answer is assembled, not retrieved. The model fans the question out into sub-queries, searches each one, weighs what independent sources say, and synthesizes a shortlist. Whoever covers the sub-questions wins the answer.
Nobody gets recommended from their own homepage. You get recommended from what the sources say.
The engines weight sources differently and the mix shifts monthly, so we do not chase any single engine. We build the thing all of them look for: a company that is visibly alive, visibly different, and visibly hitting milestones.
5 Growth Hacks to Get Featured on ChatGPT and Claude#
Five plays, in order. The first is the prerequisite; the other four compound. None requires ad spend, because there is nothing to spend it on.
Turn the whole engine on before optimizing anything
Most projects optimize one channel while three others sit dead. We start by getting every section running: the site, the blog, X, Reddit, PR basics. A model checking five surfaces and finding two abandoned ones reads risk, not momentum.
The engine-on checklist:
- Site crawlable by GPTBot, ClaudeBot, PerplexityBot; FAQ schema; LLM Sitemap live.
- Your one-liner: the same one-line company description, word for word, everywhere.
- X account posting; Reddit account aged and active; blog shipping.
- PR footprint exists: the company is findable beyond its own domain.
An engine with dead sections does not get recommended. Alive everywhere comes first.
Create an edge in every section: do what one LLM click cannot
We audit every section against one question: could a user get this from a single ChatGPT prompt? Generic blog posts, generic threads, generic releases all fail it. What passes: your own numbers, your own incidents, your own verdicts.
Edge is not better writing. Edge is information that does not exist until you publish it.
Echo every win to Reddit, X, your blog, and PR
Transparency is the strategy. Every win, small or big, gets echoed across the surfaces models read. When an LLM sees the same milestone from four independent angles, it learns the one thing that matters: a real company here is hitting milestones.
The echo chain, within days of any win:
- Blog note with the real numbers, dated.
- X post, founder voice, same figures.
- Reddit comment or thread where the category already talks.
- PR mention when the win clears the editorial bar.
Four independent signals telling one story is how a model learns to trust a brand.
Publish micro-milestones, not one annual announcement
Look at how OpenAI and Anthropic operate: every model gets announced, even when the changes are minor. It creates a talk around them. They stay the talk of the day while giving value and being transparent. We run the same release-notes playbook for clients.
The labs that built the engines stay famous by announcing everything. Copy the behavior, not just the tools.
Keep the cadence: continuous awareness becomes the suggestion
Engine on, edge built, echo running, cadence steady. The last play is refusing to stop. Continuous marketing brings continuous awareness, and continuous awareness turns your brand into a known name inside the models. Known names are what models suggest.
