Magoom

AI gave your team back six hours a week. What did they do with it?

If the honest answer is "more of the same, faster" - that's the problem.

Every team gets the same time back. Every team gets the same polished landing page from Lovable. Every team gets the same competent draft from Claude.

-> The teams pocketing the savings are now competing in a flat field where polish is free.
-> The teams reinvesting the savings into one thing nobody else is doing are the ones pulling ahead.
-> Doing your old job faster is no longer a strategy.

What did your team stop doing because there wasn't time, that you'd start again now if six hours appeared on a Friday? Start there.

Your pricing page is the most expensive page on your site.

Not because of what it costs to build. Because of what it costs every quarter it sits there unchanged.

Most pricing pages are inherited assumptions stacked on each other: three tiers because everyone has three tiers, "Contact sales" because that's where enterprise lives, per-seat because per-seat is what SaaS does.

Ask one first-principles question this quarter: if we'd never seen another SaaS pricing page, what would ours look like?

ChatGPT referral traffic to brand homepages just jumped 150%.

ChatGPT changed how it surfaces links in May. Brands suddenly have new visitors. The catch: 60% of that traffic is landing on the homepage. Time on site is up. Pages per visit are up. The first impression now matters more than it has in years.

Most B2B homepages were not built for this audience.

-> A homepage built for paid search lands with a feature list and a CTA. AI-referred visitors come with the question, not the intent.
-> Good design used to stand out. Now it’s expected.
-> AI-referred visitors arrived because they trusted the LLM. They're benchmarking your homepage against that trust, not against your last campaign.

Audit your homepage like a new visitor arriving from a sentence in ChatGPT. Most will not survive the comparison.

Why does your retargeting still treat every site visitor like they forgot you?

Because the entire B2B retargeting playbook was built on a 2010 assumption: visitors leave because they got distracted, so remind them and they'll come back.

B2B visitors almost never leave because they forgot. They leave because they weren't ready, didn't trust the price, weren't the decision-maker, or didn't believe the value yet.

A pricing page bounce and a blog-post bounce are not the same person. Treating them with the same ad is the most expensive shortcut in the funnel.

Segment retargeting by reason for the exit. The pricing-page visitor gets the case study. The blog reader gets a different entry point.

Three places your customers tell you what they actually search for, that your keyword tool doesn't:

-> Sales call transcripts. Real phrasing in objection moments.
-> Customer support tickets. The questions nobody Googles because they're too specific or too obvious to type.
-> Internal Slack questions from your own team. Same language as buyers, before it gets cleaned up for marketing.

Recent Semrush research found that 65% to 85% of ChatGPT prompts don't match any keyword in their database.

Which means traditional keyword research now misses the majority of how your buyers describe what they need.

Build the list from conversations, not databases.

Look at the AI workflows everyone's sharing this year:

-> A custom GPT trained on a single research report.
-> An LLM scanning a year of support tickets for objection patterns.
-> An n8n flow turning weekly product updates into draft posts.

Each one reads something the team already collected and never read again.

The cheapest growth lever in 2026 is not a new channel or a new tool. It's the data your team already has.

Pick one untouched dataset before your next plan. Run an LLM through it.

Domain authority does not predict whether AI cites you.

Aleyda Solis & AirOps did a study of 350,000 pages across nearly 17,000 ChatGPT queries and found something uncomfortable for SEOs: pages with high DA were not the ones getting cited. Pages with lower DA often were.

What did predict citation: being in retrieval position 1 to 3, and a headline that directly answers the question being asked.

Stop optimising for a metric that no longer maps to the visibility you actually need.

"AI on top of our CRM" only works if the CRM is clean.

Most aren't.

Our client Janis Balodis from eXpanby, who work with CRM systems every day, point out that 44% of companies lose more than 10% of annual revenue due to inaccurate CRM data and messy workflows.

That's before any AI starts summarising the pipeline.

-> Audit field-completion rates per pipeline stage.
-> Kill custom fields nobody filled in for two quarters.
-> Clean duplicate contacts this week, not next quarter.

Garbage in, AI-summarised garbage out.

The "Europe is behind on AI" story is mostly a sizing problem, not a maturity problem.

The flagship rollouts being celebrated in US press happen at companies with hundred-person data teams. Most of Europe doesn't have those companies. It has SMEs.

Which is fine, because the AI workflows actually paying off this year aren't enterprise agents. They're one-person, one-Friday-afternoon builds:

-> A custom GPT trained on a single research report.
-> An n8n flow that drafts changelogs from GitHub deploys.
-> A no-code ROI calculator the sales rep runs live on a call.

European SMEs are better positioned for that kind of AI than the enterprises everyone keeps comparing them to.

Stop benchmarking against Silicon Valley.

Why is your paid search traffic down 15% but your conversions flat or up?

Because AI is pre-qualifying buyers before they ever see your ad.

By the time they hit your campaign, they've already asked ChatGPT what your category is, who the top three vendors are, and what to ask in a demo.

Search is becoming a bottom-of-funnel catch-all. The clicks are fewer. The clicks are also better.

Stop fixing ads that are working. Spend the saved hours on landing-page conversion instead. That's where the new lift is.

If you're building the case for your CFO, Adthena and Optmyzr.com have the data.