The expectations on your marketing team are evolving faster than most operating models can keep up with. A redesign used to mean strategy, design, content, and launch. That's no longer the whole job. The site now has to hold up as your team's operating model changes underneath it, and the questions worth asking a partner reflect that. Only 30% of marketing organizations say they're actually ready to scale AI, and AI search is already deciding who gets found before a buyer ever calls sales.
These are the 10 questions that separate a partner proposing a deliverable from one proposing what your team becomes.
How will the platform you propose enable us to get where our team needs to be two years from now?
Most teams evaluate a redesign against what they need today. BCG found that 42% of marketing organizations are stuck in what it calls the "At-Risk" tier: AI still just assists on discrete tasks, and the operating model and martech stack underneath haven't changed. A platform chosen for this year's requirements locks that ceiling in. Ask what becomes possible in two years that isn't possible now. If the answer is a nicer version of your current site, the platform conversation stopped too early.
How much can you shorten our brief-to-deploy cycles, and how?
"Days, sometimes hours, not weeks" is now the stated bar for all changes. Leadership expects marketing teams to produce more without more headcount, and AI doesn't automatically make an old process faster just by sitting on top of it. Push past the number. Where does the time come out, and what still needs a human before it ships? A partner who can't answer that hasn't changed the process, they've decorated it.
How will you arm AI with the design and copywriting context it needs to actually express our brand?
AI is already forming a version of your brand from whatever it finds online. Generating content isn't the hard part anymore, sounding and looking like you consistently is. That's the idea behind what the industry calls a "brand twin": a structured version of your voice, positioning, and rules that AI either learns deliberately or invents anyway. If a partner's plan is "we'll give it your brand guidelines," they're treating AI as a tool instead of infrastructure.
What transferable AI skills will you develop for our team to use within our marketing operations?
A redesign partner can leave you with a website, or with a more capable team. Those aren't the same outcome. Senior content strategist postings are up 18% year over year while junior execution roles get cut fastest, because AI makes the person directing it more effective, not replaced. If the AI expertise all stays on the agency side after launch, your team hasn't gained anything.
How will you leverage AI to migrate our existing content quickly and cost-effectively?
Migration has always been the least glamorous part of a redesign, and AI changes what's possible in it. Instead of manually moving pages one at a time, it can classify content and flag gaps across the whole set while a person defines the rules and reviews the output. Ask a partner to show you exactly where that happens in their process. If the answer is still spreadsheets and a team of people copying and pasting, you're paying today's price for yesterday's method.
How will you use data, AI, and experimentation to continuously improve our website after launch?
Launch used to be the finish line. It's closer to the starting one now. The site should get better because your team is using it, testing on it, and adjusting it, not simply older with every passing month. Ask what happens the week after launch, not just what happens on it. A partner with no answer for month two of the relationship is planning for a deliverable, not an ongoing system.
How will you protect our AI visibility and SEO equity through the redesign?
Half of what AI cites today is under 13 weeks old, and the rankings you've spent years earning don't automatically carry into how AI engines see you. A redesign can reset that clock if it isn't handled deliberately. This is the question most RFPs still skip entirely, and it's one of the most expensive things to get wrong after the fact rather than plan for up front.
How do you help clients decide where AI fits and where humans should lead?
The wrong answers are "AI everywhere" and "we're human-first" as if AI isn't already part of the work. The real question is what a partner automates during the engagement itself, and what they insist stays with a person, and why. That decision doesn't end at launch. It's the same judgment your team will need to keep making long after the partner is gone.
How will AI be utilized at each step of the process?
Question 8 is where AI should fit. This one is where it actually does. Discovery, design, content, QA, launch: ask a partner to walk through their real process and name where AI touches it and where it doesn't. A vague answer here, especially after a confident one to question 8, usually means AI is a sales pitch more than a practice.
Where do you see personalization heading, and how will you position us to act on it?
Personalization isn't new. What's changing is what's achievable: moving past a handful of manually built segments toward a system that can act on visitor data directly. The question isn't whether you can personalize the experience today. It's whether the foundation you build now can keep up as that capability keeps expanding.
If a redesign partner can't answer most of these with specifics, they're proposing a website. The ones worth hiring are proposing what your team becomes over the next two years, and the site is just where that starts.
