Today we're thrilled to share that Scrunch is now a @Sitecore company.
When we started Scrunch, we made a bet: The primary visitor to your website wouldn't be a person. It would be a machine visiting on a person's behalf.
That belief became our mission: helping brands thrive in a world where AI shapes how customers research, evaluate, decide, and transact.
That mission isn't changing.
We'll continue operating as a standalone platform, supporting the customers and partners we serve today, and accelerating the product roadmap you'll see unfold in the weeks ahead.
What changes is our ability to move faster.
Read more about what's next: https://t.co/8Q14YrATU2
AI chat is replacing clicks.
Teams don’t want dashboards anymore. They want answers + actions through conversation.
Introducing Scrunch MCP.
Ask questions like:
✦ Where are we losing AI visibility?
✦ What competitors are outranking us?
✦ What content gaps should we prioritize?
Then take action instantly:
✦ Track prompts
✦ Add competitors
✦ Organize data
No dashboards. No API keys.
Just sign in and start talking to your AI search data.
More on our blog: https://t.co/9If3sKmY0K
On AI platforms, your brand sentiment usually looks glowing…
…until you filter by “pricing” or “enterprise buyers” and see what’s actually broken.
We built Sentiment Trends to show what’s really driving perception:
📈 Track shifts over time
🎯 See what’s moving it (topics + personas)
🔍 Drill into prompts + citations
Now live in Scrunch. Demo 👇
.@grok is the latest AI model supported in Scrunch.
Feels very meta posting that here on X. Lowercase meta that is. (Although, we support Meta AI too, fwiw.)
Who's on first?
🆕 Feature drop: Content Gaps
How it works:
✦ Auto-detect content gaps (no manual digging)
✦ Prioritize with our simple scorecard 🚥
✦ Fill the gaps and show up in AI answers
Go deeper on our blog: https://t.co/ZBJcxICJE2
Feature walkthrough 👇
Today we launched Site Maps 🗺️ -- An end-to-end way to see how AI consumes your site, where it gets stuck, and what to fix next.
With Site Maps, you can:
✦ Map your entire site and spot underperforming pages
✦ Drill into page-level AI performance
✦ Audit pages in a click to surface issues
✦ Generate AI-optimized versions of content
✦ Deliver updates to LLMs—without breaking the human UX
No guesswork. No detective work.
Just total visibility into what’s working, what’s not, and how to win the prompts that matter.
Learn more → https://t.co/QeDwixhlMR
We asked our users which AI platform we should support next.
@Copilot unanimously won 🧑✈️
So, starting tomorrow, Copilot will be fully supported in Scrunch.
✅ Real-time monitoring: Know exactly how your brand appears when users ask Copilot a question.
✅ Actionable insights: Learn which sites Copilot loves most—and where you’re missing out.
✅ Automated recommendations: See what issues need fixing to improve visibility in Copilot and beyond.
P.S. @grok fans—you’re next 😉
We’ve shipped a couple of small but helpful “quality-of-life” UX upgrades this week:
1/ "🆕" tags on newly added prompts (one of our most requested features).
2/ New sortable prompt columns: view and sort by persona, created date, last updated.
Both updates make it easier to review, prioritize, and manage prompts as your AI search (aka AEO/GEO) workload scales.
🆕 Data survey: 100K users. 7.6M AI search sessions. 22M GenAI interactions.
The takeaway? AI search is multi-channel.
Users bounce between conversational agents (ChatGPT, Claude, Gemini) and generative overlays (Google AI Overviews) depending on intent.
Research/workflow topics lean → agents
Shopping/comparison topics lean → AI Overviews
If you’re only optimized for one channel, you’re losing visibility in the other.
Go deeper on the Scrunch blog👇
https://t.co/laDnAZalVC
We just shipped two fast follow features for AI Search Trends ↓
🤗 Brand Sentiment: Get a breakdown of sentiment towards your brand across 1,500+ trending AI search topics.
⚔️ Competitive Stack Ranking: compare how often you’re mentioned vs. competitors within any selected topic.
The outcome?
📈 226% lift in non-branded citations in just 3 months
📈 31% increase in overall brand presence across AI platforms
💰 Human web traffic is more qualified (i.e., already primed by AI answers)
Get the playbook on the Scrunch blog 👉 https://t.co/CbrjTMXMT5
There’s a lot of talk about AI search being the next big growth channel. But there’s not a lot of concrete examples of both how to go about it OR results.
So here’s a concrete example: 3-step playbook Victor Coisne from @strapijs used to grow LLM citations by 226% in 3 months: https://t.co/ulAIdh7COg
Step 3: Optimize your site so LLMs can reliably cite it
A site audit surfaced the blockers:
→ Access issues
→ Metadata gaps
→ Formatting problems
→ Pages LLMs could crawl but not understand
Then came the targeted fixes that increased citation likelihood.
Benchmark → prioritize → optimize → repeat.
What are people really asking AI? And does your brand show up?
Introducing AI Search Trends → directional insights into topic volume, trends, and brand presence across AI platforms.
Now live for all Scrunch users.
Check out the demo from our product lead, Sage Stahmer 👇
And head over to the blog for the full rundown → https://t.co/j5LKdvSLyt
Traditional data infra is too heavy for feature dev.
@ScrunchAI moved analytics from Google Pub/Sub + BigQuery to Tinybird, and developer velocity took off.
→ MVP in 24 hrs
→ Prod in 48 hrs
→ Perf 🚀🚀🚀
@rbm shares more below ↓
Full story at https://t.co/zBQUjq2eit
“Clicks from organic search are starting to take a nosedive and it's like, so what? That doesn't matter anymore. I care much more about my brand being mentioned.”
Cameron Archer, Head of Growth at @tinybird , used Scrunch to see where they showed up in AI answers, fix gaps, and publish where models actually look.
Results in 3 months:
📈 SOV up ~3x (11% → 32%)
📈 LLM-referred sessions up 370%
Customer story 👉 https://t.co/hAfG7r8svi
Enterprise ≠ checklist.
It’s how you build.
SOC2, RBAC, SSO—those get you in the room.
Velocity, flexibility, and same-day shipping keep you there.
Scrunch was built for both: enterprise-grade without the drag.
More from @rbm → https://t.co/8LwLbkE2rC