Marketing @ KlientBoost - The Performance Marketing Agency

Struggling to make your paid ads profitable? I can help.

I've generated $50M+ pipeline (& counting) for B2B Tech and SaaS companies through content marketing, paid search, and paid social demand generation and GTM strategies.

"We've never been able to make paid ads work for us." — common feedback from happy B2B clients.

Some of the leading minds in B2B follow my content for fresh LinkedIn and Google Ads growth recipes.

Right now, I'm leading marketing @ KlientBoost to add $250K MRR using the exact same strategies, principles, & processes we roll out for clients.

Here's how we can help you: 
- Done for you marketing—starts with a free marketing plan
- Fresh growth recipes to your inbox—klientboost.com/kitchen
- Follow me on LinkedIn to learn the latest winning B2B strategies

Got a burning question about B2B paid ads? My inbox is always open too.

LFGTM 🤘

Patrick Cumming

8 years ago, landing page projects took 8+ weeks and $20k+.

Yesterday, I did the same work in under 2 hours with AI and got a better output.

Here's what changed:

Back then, agencies would spend weeks learning your audience, translating insights into positioning, and building a page that would bomb on launch day.

3 months later, you'd roll back because it performed worse than the original.

Yesterday, I rebuilt our entire B2B SaaS positioning strategy and landing page from scratch.

And the output is better than I saw from traditional agency work when I first started out 8 years ago.

Here's the exact 7-step process:

1. Fed Claude 182 ICP interviews, closed/won call transcripts from 2025, and Wynter feedback on our existing site.

2. Asked Claude to build a positioning strategy using April Dunford's Obviously Awesome framework plus competitive differentiation gaps. 

3. Got a 21-page positioning doc that's genuinely excellent.

4. Applied that positioning to the 5-act landing page framework through Claude.

5. Received landing page copy that needed minimal tweaking.

6. Uploaded our homepage to Replit for style reference and had it build a new page matching our brand guidelines.

7. Made minor tweaks, pitched it to our VP Growth same day, got approved.

Total time: under 2 hours.

It'll take me another hour to build it in WordPress tomorrow. Live by end of week.

While competitors spend months in revision rounds, we'll have this launched and running split-tests with real market data.

And I'll have more time to create the content that actually drives traffic to the page.

That's the shift: from laboring over details the market won't care about to testing what actually works.

Speed to market beats perfect every time.


P.S. Swing me a DM if you wanna read the full positioning doc 😎

If I had $1 for every time a B2B SaaS exec didn't believe marketing was contributing to pipeline...

I wouldn't be that much richer.

It's happened maybe 20 times in my career. But it's still a huge problem for most B2B marketers despite having more tools to measure it than ever.

The problem is 3-dimensional:

1. Execs think every impression and click is trackable because it used to be. But those wild west days are over. Privacy changes killed that.

2. The funnel concept we pitched made execs believe we could nurture any lead into a customer with the right flow. That's not how buying journeys work.

3. We defend marketing instead of showcasing a data-driven narrative that highlights the multiple ways marketing contributes to revenue.

This leads to execs who don't understand marketing, real buyer journeys, or how to measure performance.

I'm teaming up with Fibbler's Adam Holmgren on a livestream to fix this... or at least make your life a little easier. 

We'll cover:
- Why it's so hard to prove marketing is working
- The pros and cons of influenced attribution
- Frameworks for building convincing exec-ready reports

I'm not promising this will solve all your attribution problems. But you'll walk away with actionable tools to strengthen your case and win over your exec team.

Hit the link to sign up: https://luma.com/mvbujb74

In 2025 we turned $190K of LinkedIn Ads spend into ~$2.5M influenced ARR. That's a 13X ROAS and we did it using campaign types most B2Bs are afraid to use. Read the document for a detailed breakdown of the playbooks:

KlientBoost - 13X ROAS From LinkedIn Ads

7 predictions for B2B demand generation in 2026:

1. More B2Bs will abandon LinkedIn Ads as CPMs rise, chasing "cheaper" B2C channels. Smart B2Bs will stay put and use the cheaper LinkedIn ad formats everyone's afraid to touch: CTV and ungated document ads. They'll get LinkedIn's unmatched targeting without paying the premium that companies running boring single image conversion ads are stuck with.

2. B2Bs will become obsessed with in-market intent signals to spam weak offers that don't convert to revenue. We'll see a rise in integrated high-intent campaigns pushed to Reddit, YouTube, and Meta. It'll be AI-slop at scale. Smart B2Bs will use intent signals tactfully, but the bulk of pipeline will come from campaigns following foundational principles: broad targeting with messaging pulled directly from what the market is asking for, refined every quarter.

3. We'll have more measurement tools than ever, but it'll get harder to prove marketing's influence. There's a 30-50% loss in click data from cookie rejection and ad blockers. Platforms are missing half the value they deliver. More B2Bs will cut spend based on incomplete data and watch pipeline collapse next quarter. Smart B2Bs will triangulate: use MTA for insights, then validate with incrementality testing and lift analysis.

4. There will be a bigger push to improve marketing efficiency. And it needs to happen. Many teams use "it takes time" to justify marketing that isn't working. The most successful teams will obsess over lead quality, pipeline, and contribution to revenue.

5. AI will finally create complex imagery. Our feeds will flood with AI-slop infographics on topics prospects never asked for. Smart B2Bs will use AI for wireframes but add an inimitable human touch to every piece of published content.

6. B2Bs will obsess over GEO and AI visibility rankings. Many will fail for the same reason past SEO and paid ads strategies failed: skipping foundational ICP research on pains, gains, and jobs to be done. They'll flock to tools promising the world instead of doing the deep strategy work.

7. Competition will get fiercer. Ad costs are rising, price sensitivity is rising, fear of risk is rising. More deals get lost to inaction. B2Bs without clear differentiation will push spend to retargeting competitor visitors and matching feature sets, instead of listening to customers to find out what they actually need.

I'm at the end of that and it sounds doom and gloom.

But I do think it's gonna be a ludicrously fun year for marketers who love chaos, uncertainty, and challenge.

But there's no two ways about it. It's going to be tough.

What would you add?

If I was planning a 2026 paid ads strategy for a B2B SaaS company, I'd skip the shiny tactics and focus on the boring stuff that actually drives pipeline.

Here's the 7 step process that works:

Step 1: Before you launch anything, fix your foundations

1. Targeting: Use Primer or Clay to build company lists. Push 80% of spend to proven segments, 20% to testing new ones.

2. Messaging: Pull first-call transcripts from closed deals. Build a POV on every pain point prospects actually mention.

3. Attribution: Set up multi-touch or self-reported attribution. Last-click misses 90% of what influenced the deal. B2B buyers now touch 76 interactions across 6.8 stakeholders before close.

4. Tracking: Send MQL, SQL, and Closed/Won data into your ad platforms. Set conversion windows to max (365 days for LinkedIn, 90 for Google).

Step 2: You need an optimal platform split

Check Google's search impression share. Under 10%? Scale budget. Over 90%? You've maxed out.

For LinkedIn, look at audience penetration and frequency over 90 days. Below 80% penetration and 10 frequency? Room to scale.

Start with 60:40 weighted to LinkedIn. Lower CAC, more scalable, compounds over time.

Step 3: Optimize for the 95:5 rule

80% of LinkedIn spend goes to saturating cold audiences with pain-focused content. Hit 80% penetration and 10+ frequency to reach in-market buyers now while building demand for next quarter.

20% goes to high-intent audiences: page visitors, existing pipeline, buying committees.

Use engagement, video views, and awareness objectives. Website visits and conversions have insane CPMs.

Google is for high-intent search only. Run keywords through Ahrefs to find transactional intent. Start with exact match, add phrase match after 90 days.

Step 4: Ditch generic branded ads

Branded single image ads had 4X higher CAC in 2025. Worst performers by miles.

For cold prospecting, run three campaign types: Ungated Document Ads, Thought Leader Ads, CTV Ads.

For retargeting, single images work better since you've built trust.

Step 5: Be careful with shiny AI tools

On LinkedIn, switch off audience expansion and LinkedIn ad network. They'll burn budget on low quality impressions that don't drive pipeline.

For Google Ads, you can test Performance Max, but most B2Bs should avoid it. Lower cost product-led SaaS products see better results since volume is higher and barrier to entry is lower.

Step 6: Cautious channel expansion

Most B2Bs don't need this yet. Max out LinkedIn and Google first.

But if you've hit 80%+ penetration on LinkedIn or 90%+ impression share on Google, try Reddit, YouTube, or Meta.

Use Primer or Vector to target matched ICP audiences.

Step 7: Measure what matters

After 90 days, cut anything with 2X higher CAC than average. Push 80% of spend to what's left. Use 20% to test new bets.

Paid Ads planning isn't rocket science. Master the fundamentals, trust the process, and watch pipeline follow.

KlientBoost B2B SaaS Paid Ads Strategy 2026

LinkedIn's campaign objectives don't work the way you think they do.

Most marketers see "conversions" and assume it'll drive more demos. See "website visits" and expect more traffic.

The theory: LinkedIn's algorithm knows who's likely to complete specific actions and serves ads accordingly.

The reality: After 3 years of testing, I've learned to ignore the labels entirely.

Here's what I found analysing a client's campaigns last week:

Single image ad (website visits objective): 1% CTR
Single image ad (brand awareness objective): 0.9% CTR
Video ad (website traffic objective): 0.8% CTR
Thought-leader ad (engagement objective): 1.7% CTR

The awareness campaign reached 6X more people with basically the same CTR as the website visits campaign.

And it outperformed the video campaign that was literally optimised for website traffic.

The engagement objective campaign crushed everything, despite being designed for post interactions and page follows.

We ran similar tests on our own accounts last year. The brand awareness objective drove 10X higher conversion rates than the conversion objective.

Here's why it happens:

LinkedIn's algorithm isn't sophisticated enough to understand B2B buying intent.

It can't distinguish between someone clicking out of curiosity and someone ready to book a demo.

So stop trusting the objective labels.

Test multiple objectives. Measure what actually moves you closer to your goals.

The objective name doesn't matter. The results do.

3 paid ads audits in 27 days.

All mid-market B2B SaaS.

Same problem: high-intent non-brand keywords aren't converting enough. CAC is unsustainable.

Here's the fix I recommended:

1. Stop chasing form fills. Focus on pipeline.

One account was burning 60% of spend on keywords that never converted to pipeline. I recommended an all-star campaign with only proven pipeline-generating keywords and to push 80% of budget there.

Most B2B SaaS need fewer high-intent keywords, not more.

2. Use conversion-focused bidding with caution if you're under 30 conversions/month.

The algorithm needs data. Without it, you're limiting reach.

Experiment with max clicks or target impression share to get in front of more high-intent searchers. You're trying to find the sweet spot of high search impression share with low CPCs.

3. Use phrase match for keyword mining.

Stop guessing which keywords work. Let the market tell you.

Add phrase match variations of your all-star keywords. Mine search terms monthly for new pipeline converters. Add them back to your all-star campaign.

This is how you develop a Google Ads account that actually improves over time.

CPCs are up 29% vs last year. Efficiency goals are getting harder. But Google Ads still works when you stop spreading budget thin and double down on what's proven.

After 2 weeks intensive filming in LA, 100+ takes of the same screen recording, and more caffeine than I thought it was humanly possible to drink, we're pumped to launch Boost U today.

It's a learning platform for marketers who want the stuff they don't teach you at marketing school.

How to actually use ad platforms. How to create better ads. And then translate it all into real marketing results that help you get promoted and grow.

Here's what makes it different:

Every course is built on validated playbooks from working with hundreds of clients. Not theory. Not outdated tactics from 2019. Real plays that work right now.

We're starting with our LinkedIn Ads course (the one I had 15 diva-level tantrums filming every time I messed up a click 😅). More courses coming soon.

If you've ever felt like traditional marketing education skips the actual useful bits, this is for you.

Check it out: https://lnkd.in/gq_H_Y6s


P.S. If I never have to "act" on camera again in my career, it'll be too soon. But massive credit to the Deadpan 💀 🎬 team for absolutely nailing the video work.

Last week I posted a 7 step AI-powered workflow B2B's could use to build a data-driven repositioning strategy AND turn it into a landing page in <2 hours.

Most people found it helpful, a few folks HATED IT (#sorrynotsorry), and a handful of people DM'd me asking for more details.

I promised them I'd record a full walkthrough of the process. Watch the full process in <3.5 mins below:

We reduced paid ads CAC 14% in 2025 using 3 processes that most B2B SaaS companies completely ignore.

Here's the exact playbook:

1. Efficiency Farming

Stop launching new campaigns every week.

Start reading your data over 90, 180, and 365-day windows to see what actually drives revenue.

Pause campaigns with high CAC. Double down on campaigns with low CAC.

Scale winners by testing variations of what already works.

Do this monthly.

2. Segment Optimization

Targeting is the most overlooked lever in paid ads.

Most B2Bs spread budget across their entire TAM because they're scared of missing prospects.

This kills performance.

Instead, analyze which segments close fastest with the lowest acquisition cost. Build audiences of only these segments using a tool like Primer.

Then exclusively target them.

Do this quarterly.

3. Reverse ICP Exclusions

If you know your ICP, you also know who isn't your ICP.

Build exclusion lists of companies outside your ideal size, industry, or profile.

Upload them to your ad platforms so they stop serving ads to bad-fit audiences.

Example: Only targeting $10-100M IT companies? Exclude everyone under $10M and over $100M.

Update this every time your ICP changes.

The biggest irony in B2B marketing is that most companies think they need to do more when the real gains come from doing less but better.

Paid ads costs aren't dropping. But with these processes, you can stay ahead.

We closed 4 deals from AI platforms in H2 2025.

44 qualified leads came through ChatGPT, Perplexity, and Gemini. Not massive numbers, but enough to pay attention.

Here's what surprised me: our AI visibility sits at 0.5% in our category. That ranks us #6 against competitors.

We're getting deals despite barely showing up in AI responses.

So we ran the math on what happens if we fix that gap.

Q1 target: increase AI citations by 50%. If the conversion rate holds, that's 8-10 additional qualified leads per quarter from a channel that's still growing.

The play is simple:

1. Track where competitors appear in AI responses
2. Identify which content AI platforms cite as sources
3. Build content designed to get picked up by these systems
4. Monitor citation frequency across ChatGPT, Perplexity, Google AI Mode, and Gemini

We're testing Search Intelligence AI to handle the tracking and citation analysis. It scrapes real responses from live AI interfaces and shows exactly which pages get cited.

Early mover advantage matters here. Most brands aren't tracking AI visibility yet. The ones who start now will own the category recommendations before this becomes table stakes.

If you're seeing inbound from AI platforms, you're probably underindexed too. Worth checking where you actually rank.

Get 50% off if you join in the first 7 days: https://lnkd.in/gfKcDJsS

B2Bs are obsessed with "B2C" channels like Meta, Reddit, and YouTube this year for the cheap CPMs promising better efficiency. 

But it's a bad strategic move for most of them. 

Here's how to know if you're ready to expand outside of LinkedIn Ads and Google Ads:

Paid ad costs are getting unsustainably high.

LinkedIn CPMs are up 28% and Google Ads CPCs are up 19% vs 2024. Not exactly in-line with inflation.

But many B2Bs aren't just dealing with rising costs. They're also wasting what budget they do have on bad targeting.

On LinkedIn Ads, it shows up as spreading budget too thin across large audiences. Reach and frequency stay too low to build trust and recall. No trust = no pipeline.

On Google Ads, it's spreading budget across too many keywords that don't convert at a sustainable CPA. More spend, same (or worse) results.

The good news is both problems are fixable with the right approach.

In the latest KlientBoost Kitchen podcast, I break down:

• How to calculate the budget you actually need to win
• Why audience FOMO is killing your pipeline efficiency
• How to target in-market buyers more effectively
• When B2C channel expansion makes sense

These are the same principles we used to reduce marketing CAC 14% in 2025 vs 2024. And the same playbooks our team uses to help clients do the same.

Hit the link in the comments to watch the full breakdown 👇

Rampiq

I founded Rampiq with a very clear vision: help B2B SaaS & IT companies grow online. We are a team of 20+ uber-talented digital marketing professionals passioned about our clients' success. 

We provide expert online growth strategy planning and execution services, covering analytics, SEO, Paid ads, and content marketing services. We have proven frameworks and rigorously tested delivery processes under our belt. This lets us be efficient with tight budgets and deadlines. 

Founders: we will help you audit your online strategy and come up with solid game plan to kick-off your online visibility and growth. 

CEOs: we will help you align your sales and marketing decisions using your CRM data (no bias, just your numbers). 

CMOs and Marketers: we are your extra heads and hands when it comes to winning your brain fuel and time back. Outsource your campaigns' execution to us and focus on strategy and growth.

Rampiq is a women-owned and operated business. We love hard work and promote respect, choice, and professional development for all our colleagues, clients, and friends.

Founder / CEO

QRate

QRate is an ML-driven recommendation engine that finds a restaurant for your specific occasion in under 5 seconds. Fuelled by millions of reviews, our proprietary data model discovers venues that are a perfect fit for a specific occasion, not just 4+ stars on average.

We are building QRate to help approx 157 million people (just in the US!) who regularly dine out to solve the problem of finding a great place for their occasion in seconds, saving time and brain fuel for reading reviews, or relying on “stars” to make up their mind.

CEO, Co-founder

IM Action

Promoting a professional online marketing team to the new levels. And getting E letter in my job title to stand more for ethics and efficiency.

Owner, CEO

IMCREDO

Leveraging new projects, partnerships and markets for the company with a highly talented and results-driven team.

Business Development Director, Co-founder

Implementing 9+ years of experience in Internet marketing to the benefit of IMCREDO clients and partners. 

The clients' portfolio varies from mid to large-scale projects challenging the team with high-level strategic and execution tasks in SEO, Paid Search, Display, Remarketing, Web Analytics. Over the past few years we served clients from more than 15 countries and now expanding top online marketing trends to the Russian market, serving larger-scale projects which need higher ROI via advanced web marketing techniques.

Apart from CEO's role responsibilities, strategic project management and planning, am still in love with business analysis and web analytics.

London School of Business & Finance (LSBF)

Digital projects management across the business, from planning & execution to results measurement & reporting. Extensive expertise in successful management of large scale PPC accounts across all business branches and products including online degrees; UK and international companies offices web marketing activities support and project management; new company websites setup coordination; CRM ROI tracking system for online marketing activities architecture and setup, global CMS solution architecture and development coordination; in-house SEO team management; internal online marketing processes setup and optimisation; robust ROI measurement and reporting practices development and implementation; coordination of all online activities across the business. Integrated marketing campaigns planning and execution; global online marketing strategies planning and implementation.

Digital Projects Coordinator

Internal web development projects management, Internet marketing, SEO, PPC, web initiatives development, integrated e-marketing campaigns management, social networking strategic management, e-metrics system development

Web Marketer

Itransition Software

Managed a team of 7 SEO and PPC specialists focusing on providing online marketing services for the company clients. Developed a full online marketing services delivery business process from initial quotes and proposals to projects management and reporting. Successfully ran IM projects for European and US clients, services including: SEO (full range of activities), PPC, SMO, copywriting, consulting. Received Employee of the Year award in 2007 and brought the department to the steadily growing positive ROI levels in 3 months from the department setup.

Head of Internet Marketing and SEO Dept

Designed IT Marketing Challenge 2005, 2006 and 2007 contests for young online marketing professionals (tasks creation, contest promotion). Worked on company brand promotion on the web, including online marketing components of integrated marketing strategy, utilising self-obtained knowledge of SEO and internet marketing techniques. Switched to IM activities completely in 2005 and progressed to Head of SEO Department role in 2006.

Marketing Manager

CEO @ Rampiq | On a mission to help B2B IT & SaaS Founders skyrocket leads and revenue | B2B Tech Founders Lounge Podcast Host

Dynamic online marketing professional with over 15 years of experience, hungry for knowledge & challenge in online marketing in B2B SaaS and IT niches. Digital marketing agency CEO and Founder, serial femalepreneur. Restless growth driver leading a team of 20+ people.

Specialties: Online Marketing, Lead Generation, SaaS Marketing Consulting, B2B Marketing. Very hands-on with SEO, paid ads, and content marketing planning and execution management.

Internet marketing conferences speaker, Web analytics courses author, Fractional CMO for growing businesses.

Liudmila Kiseleva

I’m beyond excited to announce that I’ve joined Dmitry Chistov and Amadora.ai team as a Co-founder and CMO!

In the world of AI businesses and agencies need the new generation of growth toolkit: agile, super-smart, and driven by real business goals. 

I’m fully committed to Amadora.ai’s mission: help businesses and agencies win more clients and revenue with AI search.

Here’s to the journey - we’re just getting started! 🚀

Alexander Chekan thank you for connecting us 😊!

CEO @ Rampiq | Building B2B pipelines that convert - with AI Search, SEO and Paid Ads | B2B Tech Leaders Lounge Podcast Host

Founder & CEO at Amadora.ai | AI search optimization for SEO and marketing teams | 15+ years in B2B SaaS with 3 exits

It usually takes months to find a co-founder. It took me 15 minutes.

That’s exactly how long it took to realize Liudmila Kiseleva needed to be a part of Amdora.

I’m beyond excited to announce that she is joining our team as Co-founder and CMO.

An old mentor once told me: "The speed of your growth depends entirely on your ability to attract elite talent."

And Liuda isn't a "traditional" CMO.

She’s spent 17+ years in the B2B SEO and Growth trenches. She’s built and scaled her own marketing agency. She even "vibecoded" her own AI search optimization tool.

She doesn't just talk about the future of AI Search—she builds for it.
In the age of AI, the lines between marketing and product are blurring. Luda sits right at that intersection.

Her mission with us is simple: Helping B2B IT and SaaS brands turn marketing into a predictable revenue engine through expert AI Search and Lead Gen.

I’m lucky to have found a partner who matches the pace and shares the vision.

And of course, many thanks to Alexander Chekan  for bringing us together.

We’re just getting started. 🚀

Most B2B marketers are unknowingly talking to a goldfish. 🐠

Not literally. But close.

See, LLMs (like ChatGPT) have two brains:

🧠 Brain 1: Pre-trained memory (frozen in time)
🧠 Brain 2: Live web access (but only when you beg nicely)

Unless you specifically ask it to search the web, it’s working off yesterday’s news.

Translation?

It doesn’t know your company raised funding, launched a product, or rebranded.
It doesn’t see your killer campaign, podcast tour, or spicy CEO quote.

To AI, your brand is a ghost.

👻 No updates.
 👻 No presence.
 👻 No chance of showing up in AI Overviews.

Here’s the kicker:

❌ You can’t re-train the model
 ✅ But you can influence what shows up next time it learns

And yes, there’s a strategy for that.

We used it to get 850+ mentions for a B2B SaaS brand — in AI Overviews, AI summaries, AI everything. 

In just a few weeks.

Want to know how it works?

🧠 Comment “AI” and I’ll share the AI Visibility Framework - the one your CMO probably doesn’t know exists.

(You’re 1 comment away from becoming AI-famous.)

Comment “AI” 👇 

Let’s make your brand unmissable.

#AISearch #AIVisibility #AIO #GEO

📸 A small moment that stuck with me this week.

I had a call with one of my long-term clients.

They’re advanced.
They pioneered our AI search program.
They’re getting genuinely strong results.

And yet, halfway through the conversation, they paused and said something like:

“I know this is working.
I can see that we’re showing up more often in AI answers.
But I still struggle to explain this internally — how our growing AI visibility connects to everything else we’re doing, and how leadership can actually use this data.”

That landed.

Because this isn’t a strategy problem.
And it’s definitely not an execution problem.

It’s a translation problem.

AI visibility doesn’t live in a neat box yet.

Citations change.
Sources rotate.
Signals don’t map cleanly to the dashboards CMOs are used to.


So internally, the questions start piling up:
- Is this momentum or just fluctuation?
- How does AI visibility connect to SEO, brand, and demand?
- What should leadership watch — and what should they ignore?


This is exactly where our AI visibility reporting framework and toolkit step in.

Not to add more noise.

But to turn AI presence into something you can:
 → track over time
 → explain with confidence
 → connect to broader marketing performance

If you’re already investing in AI search or content and still feel friction when explaining the impact internally — you’re not behind. 

You’re early.

And if you want help making this legible for your leadership team, I’m happy to talk.

📩 DM me — even if it’s just to pressure-test how you’re thinking about it.
Sometimes the hardest part isn’t proving something works.

It’s helping others see why it matters.

Happy Friday.

🚨 AI citations are no longer stable — and your brand’s visibility is at risk.

Until recently, if your content ranked well on Google or Bing, it had a decent shot at being cited by LLMs like ChatGPT or Perplexity.

Not anymore.

LLMs are now pulling sources more dynamically. 

That means:

🔄 Citations change more frequently
🔄 Some sources vanish without warning
🔄 New players appear overnight

That blog post you invested time and budget into?
It might already be gone from AI answers.

The criteria LLMs use?
Not just traditional search rankings anymore.

It’s a mix of memory info, trust signals, authority, freshness, link structure…
 …and maybe your neighbor’s dog’s opinion (we’re all still figuring it out!).

Here’s why this matters:

✅ AI Overviews are now the first impression
✅ Branded summaries influence buying decisions
✅ Being invisible here? A silent brand risk most CMOs are missing


That’s why we at Rampiq are helping B2B brands track and improve their AI visibility — before they lose ground they didn’t even know they had.


If you’re a CMO and want to:

→ Understand where your brand shows up in AI-generated content
→ Diagnose drops in AI citations
→ Build a framework to influence LLMs visibility  at scale

📩 DM me “AI Visibility” — I’ll walk you through how we’re solving this for other B2B brands right now.


Let’s make sure the next generation of AI models can’t ignore your brand.


DM me "AI Visibility". 

====
I'm Liudmila Kiseleva, CEO at Rampiq. We help B2B tech brands get more revenue from AI search and Paid ads.

Recent win: 850+ AI Overviews mentions for a B2B SaaS platform (Compliance software niche)

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The Battle

Patrick Cumming

Liudmila Kiseleva

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The Battle

Patrick Cumming

Liudmila Kiseleva

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Patrick Cumming's LinkedIn Performance

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Performance ScorePatrick Cumming's LinkedIn Performance