GEO · Marketing agency
189.6%
Increase in organic visibility
GEO, content strategy, and authority building lifted organic visibility 189.6% and grew branded search demand.
Homepage · Editorial (light)Read the full sales letter →
Red-engage
Talk to us →A field report
Your best-fit buyer just asked ChatGPT who to hire. Your name wasn’t in the answer.
A quiet, expensive shift is happening in B2B. Buyers stopped opening ten browser tabs. They opened one chat window instead — and whatever the AI says about your category is now the shortlist.
5.0/5 Clutch4.8/5 G24.5/5 Trustpilot500M+ AI queries / week
The problem
A founder we work with pulled us into a Slack call last winter. He was confused. His pipeline had softened for two quarters in a row. Nothing in the paid channels explained it. Rankings on Google looked normal. Content on schedule.
Then he asked us to run one test. Open ChatGPT. Type the exact phrase a buyer would type at the start of their evaluation: “What are the best tools for X in 2025?”
Three brands came back. All competitors. His company — the one with the better product, better reviews, and more capital — was not on the list.
That is the actual problem. Not rankings. Not clicks. Being present in the answer that decides who gets considered at all.
“Measured, brand-safe execution with reporting tied to outcomes. A reliable growth partner.”
What most teams get wrong
SEO trained a generation of marketers to optimize for the wrong reader.
For twenty years, the reader we all wrote for was a person. A person scanning ten blue links, judging your meta description, deciding whether to click. Every playbook — keywords, backlinks, site speed, E-E-A-T — was built around persuading that person to click through and read.
The reader has changed. In most B2B categories, the first “click” a buyer makes now happens inside a language model. They ask a question. They read a synthesized answer. They walk away with a shortlist of three or four names.
You are no longer optimizing content for a human clicking a link. You are optimizing signals for a model deciding which brand to name. Same industry, different job.
The method
The Citation Loop — how a brand becomes an answer, not a result.
Getting cited by AI is not one trick. It is a loop of three signals a language model uses to decide who to name. Miss one, and you stay invisible.
Make yourself legible
Step 01Give the model a name tag it can actually read.
Imagine your category is a dinner party, and the AI is the host introducing guests. The host doesn’t read your website. The host reads a name tag. Whatever is on that name tag is what everyone else in the room hears about you.
Most B2B sites don’t have a name tag. They have a mood board. Clever taglines, vague headers, product pages padded with adjectives written to make a human feel something. Language models don’t feel anything. They parse.
So the first thing we do is boring and technical: rewrite the parts of your presence a model reads first. Schema markup. Entity definitions. An llms.txt at the root of your domain that acts like a briefing document for every crawler.
Operator's takeaway
If a language model cannot describe what you do in one specific sentence, your buyer will not see your name in the answer. Clarity beats cleverness in the AI shortlist.
Build the graph
Step 02Earn a reputation on the sources the model already trusts.
If step one is your name tag, step two is your reputation in the room. The model doesn’t evaluate you in isolation. It evaluates you inside a graph — a web of who talks about you, in what context, next to which competitors.
Most “AI SEO” services audit your website, hand you a checklist, and stop. But your website is maybe 20% of the signal. The other 80% lives on third-party surfaces — category pages, review sites, comparison articles, industry roundups, forum threads, podcast transcripts.
We plot your brand, your competitors, and every source the model is currently reaching for. We score each node. That map becomes the plan for the quarter — a prioritized list of citations we need to earn, refresh or reframe.
Operator's takeaway
Your website is maybe 20% of the signal. The other 80% is what the model finds about you on the independent sources it already trusts. Build there.
Feed the loop
Step 03Real conversation is the signal that compounds hardest.
The last signal is the one most teams underrate. Independent human conversation about your brand. Honest reviews. Comparison threads on Reddit. Unprompted recommendations in Slack communities.
A Reddit thread where three strangers agree your product is the right pick for a 20-person team is worth more, to a language model constructing an answer, than a page of glossy testimonials on your own website.
To be blunt: we don’t run fake accounts. We don’t astroturf. We find the conversations already happening in your category, equip your customers and advocates to participate honestly, and help analysts and creators discover that you exist and are worth writing about.
Operator's takeaway
One honest mention in a trusted community beats ten polished testimonials on your own site. GEO compounds when the conversation is real.
What’s at stake
Every week you’re not in the answer, someone else is being introduced to your buyer.
There are more than 500 million AI search queries every week. In most B2B categories, a meaningful share of new opportunities now begins inside a chat window you can’t see, with an answer you didn’t write, naming vendors you didn’t pick.
45 days
Average time to first qualified AI-cited lead
3.8×
Increase in branded AI mentions for growth-stage clients
500M+
AI search queries every week — and rising
The founder
I’m Michal. I built Red-engage because I got tired of watching good B2B brands get quietly erased.
I started Red-engage in 2024 after months of running the same test with different founders and watching the same look cross their face. Good products. Real customers. Not in the answer.
A small, deliberate team of GEO strategists, LLM specialists and writers. Nine active clients right now. Five stars on Clutch. 4.8 on G2. That’s the whole pitch.
— Michal Hajtas, Founder, Red-engage
The receipts
Five case studies from the last twelve months.
GEO · Kitchen supplies
65.8%
More AI citations across ChatGPT, Gemini, Perplexity, AI Overviews
Our GEO program lifted AI citations 65.8% and pulled in more high-quality backlinks in the same window.
GEO · Marketing agency
172%
Growth in AI visibility in 90 days
Over a single quarter, this brand grew presence across ChatGPT, Gemini, Perplexity and AI Overviews by 172%.
GEO · Health & wellness
55.7%
More organic search traffic in one month
Outmatched by larger competitors, the brand grew organic search traffic 55.7% in a single month.
Community · Cybersecurity
1M+
Organic reach without paid ads
Reached more than a million people through distribution, search visibility and community growth — no paid spend.
“Measured, brand-safe execution with reporting tied to outcomes. A reliable growth partner.”
Trusted byBladeBonkBotPulseCandy AIKontentinoQuestekHermQ200+ companies
Take the next step
Run the 30-second AI visibility audit.
Four questions. We calculate exactly what being cited by ChatGPT, Perplexity and Gemini is worth to your pipeline over the next 90 days — then you decide if a call makes sense.
What you get
- — A projected 90-day AI visibility lift for your brand.
- — The three citations most within reach in the next 45 days.
- — An optional 15-minute call if the numbers look worth it.
Start my 30-second AI auditNo email required
P.S.
The uncomfortable part of this shift isn’t the technology. It’s that AI answers are being written right now, in your category, without you in them — and every week you wait, another buyer gets introduced to a competitor as if they were the obvious choice. The audit takes thirty seconds. The cost of staying invisible is the one that keeps compounding.