Agency Comparison
Dear Future vs Found
Comparing AI SEO options: Copenhagen vs London.
Comparison updated · Newest review
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Dear Future | Found |
|---|---|---|
| Editorial score | Higher score: 61.8/100 | 55/100 |
| Hourly rate | Contact for rates | €85-130/hr |
| Team size | 50-249 | 50-249 |
| Location | Copenhagen, Denmark | London, United Kingdom |
| Founded | 2005 | 2005 |
| Last reviewed | Sep 9, 2026 | More recent review: Sep 23, 2026 |
What we said about each
Our take on Dear Future
This is the most measured portfolio in the Copenhagen roster. For Bonnier Publications, customer data from the CRM, Google Analytics and the newsletter platform was consolidated into BigQuery, a purchase-propensity model segmented 33. 3 million users into five groups, and the segments were activated directly in search and display: 53 percent growth in digital subscription sales, 18 percent higher conversion, 327 million predictions generated.
Reviewed Sep 9, 2026
Read the full assessment →Our take on Found
Found's clearest AI work is a model it built: for Secret Sales, a deep neural network predicting each product's 30-day sales value, served to the client through a web app and rolled out on a small slice of budget first, credited with 28% higher ROAS than the account's other Shopping campaigns and more than £1M in incremental profit. The other AI-tagged studies are thinner on the AI itself—1st Central's award-winning acquisition work runs on Google's pre-built audiences and lookalike modeling…
Reviewed Sep 23, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Dear Future if you need
- broader service offering — also covers AI Consulting and AI Development
- a higher overall editorial score
Choose Found if you need
- disclosed specialization in FinTech
- broader service offering — also covers AI Marketing and AI Automation
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Dear Future
Strengths
- Outcomes are published with the mechanism attached—33.3 million users into five segments, 327 million predictions, 53 percent subscription growth for Bonnier Publications
- The data path is named on each engagement: CRM, analytics and platform data consolidated into BigQuery before any model is trained
- Twelve case studies, every one with a named client, spanning media, retail, healthcare and education
Watch-outs
- The work sits on commercial first-party data—if your problem needs a model trained on something else, ask for that engagement specifically
- The Pandora case is activation of a model the client already had; check which of your candidates' studies are modeling and which are adoption
- Trading since 2005 under a former name and rebranded recently—confirm which team carried over and who would staff you
Found
Strengths
- Secret Sales documents a model built and put to work: a neural network scoring products by predicted 30-day sales value, a client web app, and a rollout that tiered bidding by predicted potential
- Client executives named with titles on the AI work—Secret Sales' founder and CEO, 1st Central's Digital & Marketing Director, Clermont's Digital Marketing Manager, Haleon's Global Search Lead
- A named Chief AI Officer on the record (BBC Radio 5 Live and Radio 4, The Drum Podcast), and a UK Search Award for Best Use of Search in B2C cited on the 1st Central study
Watch-outs
- No published case study reports an AI-search outcome—ask for the citation or share-of-answer movement Luminr recorded for an existing client, with the engines and prompt set it measured
- The data and AI work is credited to sister company Braidr, whose managing director is Found's Chief AI Officer—ask which entity contracts, who builds the model and who owns it afterward
- The AI SEO page calls Found "the #1 AI search agency" with no measurement behind the ranking—treat it as marketing copy and ask for evidence from your own category
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Pricing math
What a 12-week engagement at one full-time equivalent (~480 hours) costs at each agency’s published rate. An arithmetic projection, not a quote — real scopes move with seniority mix and team shape.
Dear Future
Contact for rates
Found
Rate: €85-130/hr
€40,800–€62,400
Only Found publishes a rate, so there is no gap to measure. Dear Future quotes per engagement — ask for a rate card early, since a comparison that starts on scope and ends on price tends to end late.
Frequently asked questions
- Which has more E-commerce experience, Dear Future or Found?
- Both agencies show documented E-commerce work. Found has the broader industry stack overall, with disclosed experience in FinTech beyond their shared focus.
- Which scores higher overall, Dear Future or Found?
- Dear Future scores 61.8/100, 6.8 points higher than Found at 55/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.
- When should I consider both Dear Future and Found?
- Consider running parallel discovery briefs with Dear Future and Found if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.

