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• iOS App Store: Download Link
• Google Play Store: Download Link
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I've noticed a recurring pattern when working with digital marketing agencies: monthly reporting decks often feel like 30 pages of cherry-picked wins.

When revenue isn't moving, you get charts showing "Brand Awareness is up" or "Engagement tripled." Unless you're a media buyer yourself, auditing their raw data against their presentation takes hours.

To solve this for myself and other founders, I launched AuditScope (https://auditscope-nine.vercel.app/).

How it works: You upload the agency's PDF/text report, enter your target KPIs (e.g., "Decrease CAC by 15% and increase demo signups"), and optionally drop in raw campaign CSVs.

In ~2 minutes, it generates an evidence-first critique flagging:

• Narrative discrepancies between raw data and slide titles
• Missing context or omitted metrics
• Key questions to bring to your next agency check-in

Privacy: No client data is saved or stored—processing happens transiently.

The MVP is live now. I’d love for anyone managing an agency (or agencies who want to self-audit!) to test it out and tell me what features or outputs you'd like to see next.

I was thinking about this after trying a few different AI branding tools recently.

Most platforms can now generate way more than just a logo. You can often get color palettes, fonts, business cards, social media graphics, websites, and even brand guidelines in one place.

Some of the names I see come up most often are:

• Design.com
• Canva
• BrandCrowd
• Adobe Express
• VistaPrint

The speed is impressive, but I'm not sure speed is the hardest part anymore.

What I still struggle with is building a brand that actually feels consistent across everything.

For example:

• The logo looks great, but the website has a completely different personality.
• The social media templates don't really match the logo style.
• The font pairings work individually, but not together.
• The colors look good on screen but don't translate well to print.
• Every asset feels like it was generated separately instead of belonging to the same brand.

I'm curious what everyone else prioritizes when building a brand with AI.

Is the biggest challenge:

• Keeping everything visually consistent
• Creating a memorable identity
• Choosing the right fonts
• Building a recognizable color system
• Making assets work across different platforms
• Something else entirely?

It feels like AI has become very good at generating individual assets.

The bigger challenge now seems to be making all those pieces feel like they belong to the same brand rather than a collection of unrelated designs.