S

Scrunch AI

Influencer discovery and campaign analytics SaaS

Overview

Scrunch AI provides a subscription-based SaaS platform for influencer marketing, with a database of over 20 million influencer profiles across major platforms such as Instagram, TikTok, Facebook, Twitter, and YouTube. It helps brands and agencies discover creators, manage campaigns, and analyze performance to measure ROI, using filters like keywords, location, and engagement. The freemium model offers a free starter plan for one campaign, while paid tiers unlock deeper audience demographics, psychographic reporting, and advanced analytics; Scrunch also provides digital agency services. The goal is to connect brands with influencers efficiently and transparently, enabling data-driven influencer campaigns within the creator economy.

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About Scrunch AI

Simplify's Rating
Why Scrunch AI is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise Software

Company Size

1-10

Company Stage

Late Stage VC

Total Funding

$2.8M

Headquarters

Brisbane QLD, Australia

Founded

2024

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What believers are saying

  • Scrunch reported 500+ customers and 50% month-over-month growth in 2025-2026.
  • The company raised $19 million in 2025 from Mayfield, Decibel, Homebrew, and GTM Capital.
  • November 2026 launches added Imposter Detection, outreach automation, and Zapier-triggered workflows.

What critics are saying

  • Sitecore owns Scrunch after June 3, 2026; standalone exit is gone.
  • OpenAI, Google, and Anthropic can copy citation features and compress pricing by 2027.
  • If AI search volumes plateau, Scrunch's category narrows into a feature, not a company.

What makes Scrunch AI unique

  • Sitecore acquired Scrunch on June 3, 2026, embedding it inside SitecoreAI workflows.
  • Scrunch tracks AI citations, agent behavior, and site readiness across ChatGPT, Gemini, Perplexity.
  • November 12, 2026 Citation Optimization targets third-party sources, not just owned content.

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Funding

Total Funding

$2.8M

Below

Industry Average

Funded Over

3 Rounds

Late VC funding comparison data is currently unavailable. We're working to provide this information soon!
Late VC Funding Comparison Coming Soon

Benefits

  • Health Insurance
  • Remote Work Options
  • Flexible Work Hours
  • Company Equity
  • Stock Options

Company News

GlobeNewswire
Nov 12th, 2026
Scrunch launches Citation Optimization to help brands influence the sources behind AI recommendations.

Scrunch launches Citation Optimization to help brands influence the sources behind AI recommendations. New capability reveals which publishers, reviewers and other third-party sources influence AI answers, and helps marketers turn that intelligence into targeted action to earn more recommendations. November 12, 2026 09:00 ET | Source: Sitecore ORLANDO, Fla., Nov. 12, 2026 (GLOBE NEWSWIRE) - Scrunch, a Sitecore company, today launched Citation Optimization, a new capability that helps brands identify and engage the third-party sources shaping AI recommendations. Unveiled at Sitecore Symposium, Citation Optimization shows marketers which sources influence the answers that matter to their business, where they have the greatest opportunity to strengthen their presence, and how to act - from prioritizing publishers and reviewers to developing targeted pitches and outreach. "Citation Optimization makes that network actionable. It shows you who matters, where you have an opportunity to earn a stronger presence, and how to approach..." "Every AI recommendation is built on a network of publishers, reviewers, and other sources that most marketers have never been able to see clearly," "Citation Optimization makes that network actionable. It shows you who matters, where you have an opportunity to earn a stronger presence, and how to approach..." "Every AI recommendation is built on a network of publishers, reviewers, and other sources that most marketers have never been able to see clearly," The launch builds on Sitecore's introduction of MarketingIQ yesterday, extending the Symposium story from marketing intelligence to action. Scrunch identifies the external sources shaping AI recommendations and helps marketers earn a place in them, while its data feeds MarketingIQ to inform coordinated marketing content and campaigns across SitecoreAI. For every prompt a brand tracks in Scrunch, Citation Optimization identifies the third-party pages cited in AI answers and prioritizes them by their influence and how easily a brand can win a place in them to strengthen its presence. Marketers can see which sources already include their brand, where competitors are featured instead, and where outreach or amplification could make the greatest difference. The platform then helps them act, preparing targeted pitches and outreach informed by the source, the opportunity and the brand's approved information. Citation Optimization helps brands understand and act on the sources shaping AI answers, including sources that misrepresent who they are. New Scrunch research reveals the scale of that risk: across ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode and Microsoft Copilot, 17% of Fortune 500 companies had an impostor website cited in AI answers. In three out of four answers citing a known impostor, the AI presented the site as the brand's official source. Scrunch estimates that AI assistants deliver more than one million answers a year citing websites that impersonate real brands. The findings expose a risk beyond lost visibility: AI can direct customers to an impostor while presenting it as a trusted brand source. Along with Citation Optimization, Scrunch has created Imposter Detection. It automatically surfaces suspected imposter sites and provides the actions to initiate a takedown, to help marketers see and correct where their brand is being misrepresented. "Every AI recommendation is built on a network of publishers, reviewers, and other sources that most marketers have never been able to see clearly," said Chris Andrew, founder and CEO of Scrunch. "Citation Optimization makes that network actionable. It shows you who matters, where you have an opportunity to earn a stronger presence, and how to approach them. For the first time, marketers are able to participate in the conversations that decide whether AI recommends them." The launch comes as more discovery happens entirely within AI platforms. New Sitecore research from ScrunchLabs, The New Shape of Search, found that more than 40% of AI sessions involved neither an open-web search beforehand nor a click to the open web afterward, compared with 21.5% of traditional search sessions remaining self-contained. When users stay within AI, the brands included in its answers - and the sources informing those answers - take on greater importance. Citation Optimization builds on Scrunch's existing capabilities for monitoring AI answers, identifying opportunities on brands' own websites and creating content to address gaps. It extends that work to third-party sources, helping marketers coordinate improvements across the content they own and the sources they seek to influence. Citation Optimization is the latest in a succession of recent Scrunch product launches. Over the past 100 days, Scrunch has released Knowledge Studio, which turns brand-approved information into a source of truth for AI; Site Optimization, which delivers a prioritized, page-by-page fix list that can be deployed in one click through SitecoreAI; Agent Pages, which serves an AI-readable version of a website to verified AI agents without changing the site people see; and, just last week, Content Generation, which writes content for questions that aren't answered anywhere on the brand's website. All told, these innovations help marketers manage brand perception and create domain authority, improving the content they own and the sources they need to influence. New customers from some of the world's biggest brands have selected Scrunch in recent months, adding to its more than 500 customers since being founded in 2023. Citation Optimization is available now. Scrunch is also working to integrate partners including Noble, Stacker and Getfluence to automate additional steps in the outreach and activation process. About Scrunch Scrunch, a Sitecore company, is the Agent Experience Platform (AXP) that helps marketing and growth teams reach customers through AI search. Teams use Scrunch to observe what AI agents say and do, in AI platforms and on their own sites; optimize their web presence for agent consideration and selection; and deliver what agents need to understand, reference and recommend their brand. Learn more at scrunch.com. About Sitecore Sitecore is a global leader in AI-enabled digital experience software. Its next-generation platform, SitecoreAI, helps brands plan, create, personalize and deliver content across every channel, including websites, apps and social. By unifying content management, customer data and personalization into one intelligent system, it makes marketing faster, smarter and more connected. At its core are agentic tools and studios that let marketers and developers collaborate with AI responsibly and effectively. Learn more at sitecore.com.

Revlift
Nov 2nd, 2026
Revlift gets your brand cited by AI. Explore how we help:

AI visibility platforms: Profound and alternatives, evaluated. AI visibility products fall into three categories: tracking platforms, content-automation platforms, and managed services. Profound is one of the well-known platforms in this space, and there are several alternatives. There's no honest "best" ranking - the right choice depends on which category you need and which capabilities matter for you. This guide gives you a fair framework to evaluate any of them, with no invented scores. Revlift'll be upfront: Revlift is a managed AEO service, which is one of the three categories below. Revlift is not going to publish numbers scoring Profound or anyone else, because Revlift can't verify a competitor's internal performance and faking those comparisons is exactly what erodes trust. What Revlift can give you is a framework. 1. Tracking platforms. These measure where you stand: they run your prompts across engines and report mentions, citations, share of voice, and how AI describes you over time. Profound is a prominent platform in this category; alternatives include Scrunch, Peec AI, and Otterly, among a fast-growing field. SEO suites have entered too - Ahrefs Brand Radar tracks AI brand mentions alongside its core SEO data, which is why "Ahrefs competitors for AI visibility products" is a common search. Best for: teams that will act on the data themselves and want a self-serve dashboard. 2. Content-automation platforms. Some platforms go beyond tracking into producing or assisting content at scale - content-pipeline automation aimed at efficiency. Capabilities in this category can include exploring the conversations and prompts buyers use, suggesting or drafting content to fill gaps, and analytics on how AI agents engage with your content. If a platform markets "actions," a "conversation explorer," or "agent analytics," it's leaning into this category. Best for: teams with the capacity to run an automated content pipeline and the judgment to QA its output. 3. Managed services (agencies). Services run the whole loop for you - measurement plus the content and structured-data work that moves it. This is where Revlift sits. Best for: teams that want AI visibility handled and reported honestly, rather than another dashboard to operate. A fair framework for evaluating any platform. Compare on capabilities, not marketing. For Profound, its alternatives, or any AI visibility product, ask: * Engine coverage. Which engines does it actually track - ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews - and are those the ones your buyers use? * Citations vs mentions. Does it distinguish being cited as a source from merely being named anywhere? This is the difference between signal and noise. * Share of voice. Can it compare you to named competitors over time, not just report your own numbers? * Trend, not snapshot. Does it show a baseline and a line over time? * What it does with the data. Pure tracking, content automation, or managed execution - match the category to how much you want to do yourself. * Price and contract. Self-serve platform fees vs a managed retainer are different commitments; pick for your stage. Run the same questions across every option and the right fit usually becomes obvious - without anyone needing to invent a leaderboard. Where DIY ends and a check or audit begins. DIY platforms are excellent at telling you where you stand. They end where someone has to act - produce the content, fix the schema, earn the third-party corroboration. That's the handoff point. If you just want a fast, free read before evaluating any platform, run its Free AI Citation Check - it shows where you're currently cited with no subscription. If you've seen the data and want the work done, a $500 AI Visibility Audit turns it into a prioritized 90-day plan, and AI Visibility ($1,500/mo) runs the loop. Revlift work to the Clean AEO pledge. For a straight recommendation on which category fits you - including "a self-serve tracker is enough for now" - email [email protected]. Faq. What are the alternatives to Profound? Profound is one prominent tracking platform; alternatives include Scrunch, Peec AI, Otterly, and SEO suites like Ahrefs Brand Radar. Pick by engine coverage, citations-vs-mentions, and whether you want tracking, automation, or a managed service. How do I evaluate AI visibility products? On capabilities, not marketing: engine coverage, citations vs mentions, share of voice vs competitors, baseline-and-trend, what it does with the data, and price. No one can honestly score a competitor's internal performance for you. What's the difference between an AI visibility tool and an agency? A tool tells you where you stand; an agency runs the whole loop and does the work. DIY ends where someone has to act. Michael Okeje Founder of Revlift and a former Head of Growth. Writes about AI visibility, answer engine optimization, and getting brands cited by AI. Done for you Revlift gets your brand cited by AI. Explore how Revlift help: * AEO services · get cited in AI answers * AEO agency · done for you, flat fee * GEO agency · every generative engine * AI SEO agency · AI visibility plus organic

Scrunch
Oct 27th, 2026
New from Scrunch: Turn AI insights into automated workflows with Zapier.

New from Scrunch: Turn AI insights into automated workflows with Zapier. * Scrunch is now a supported integration in Zapier, allowing you to trigger automated workflows using your AI visibility data. * Automatically flag meaningful movement in your AI search data and pipe the signals into thousands of apps, like Slack, Linear, Notion, and HubSpot. * Your insights become automated actions, no dashboard-watching required. Even the most valuable insights are worthless if they're sitting in a dashboard nobody's logged into. That's why Scrunch pushes data from its UI directly into the surfaces where teams already work, from your favorite AI assistant to your email inbox. Now, thanks to its new integration with Zapier, you can turn those insights into fully automated workflows across the rest of your stack. Data only earns its keep when it shapes what you do next. Send Signals to the rest of your stack. Scrunch's Signals feature automatically flags meaningful movement in your AI search data and tells you what happened, why it matters, and what to do about it. Think meaningful trend shifts, major spikes or drops in performance, and relevant competitor activity. Using Zapier, you can hand that information off to the tools your team uses every day, including Slack, Linear, Notion, HubSpot, Airtable, ActiveCampaign, and thousands of others. Scrunch currently supports two triggers that each kick off their own automated workflow: * New Signal: Fires the moment Scrunch detects a new Signal for your brand. Use it when you want to know the instant something happens. * Custom Signal threshold: Fires when a metric you're tracking crosses a limit you set. Use it when you want to hear about the changes that matter most to you. Here's a taste of what's possible: * Scrunch to Slack: A new Signal concerning your top competitor lands in your #competitive channel the second it appears. Your whole team sees the shift at the same time, without anyone needing to run a report. * Scrunch to Linear: Your mention rate drops below a preset threshold for a specific topic, and a task appears for your content team automatically. The dip becomes assigned work before anyone even noticed it. * Scrunch to HubSpot to Notion: Your citation rate falls on a specific AI platform. The Zap checks HubSpot to see whether anything related is already on your content calendar. If there's a gap, you have AI kick off a draft outline and open it up in a Notion page for review. A hole in your AI search presence turns into a deliverable sitting in someone's queue, same day. * Scrunch to Salesforce to Gmail: Maybe you work at an agency, and one of your clients sees a big dip in citations. Your Zap runs a lookup in Salesforce to see who the account manager is, alerts them to what's happening, and drafts an email for them so they can proactively reach out. None of these require you watching a dashboard. And that's the whole point. Scrunch doesn't just tell you what changed, it tells your whole toolkit. Hook it up and hand it off. Create a new Zap, choose Scrunch as your trigger app, and decide what you want to automate and where. Alerting stakeholders in real time. Triggering internal workstreams. Feeding data into your reporting, minus the manual exports. How you put Scrunch and Zapier to work is up to you. Pick a trigger, point it at your stack, and go. Spot the shift and act on it with Scrunch and Zapier. Observe and act on autopilot. Start a 7-day free trial or get in touch to see how Scrunch can help you put your AI visibility data to work. Wil is the first employee of Scrunch AI and has helped shape the company across product, customer success, research, and operations, helping define how brands understand and improve their visibility in AI search. Wil works closely with leading Scrunch brands and agencies, turning complex AI behavior into clear, actionable guidance and building the onboarding, documentation, and workflows that power the Scrunch customer experience. Outside of Scrunch, Wil spends his free time volunteering for YoungLife, skiing, biking, and exploring the trails around Park City, UT.

Floodlight
Oct 10th, 2026
Build your media list around customer questions.

Build your media list around customer questions. Start with questions your sales team already hears. A buyer asking "What does this agency offer?" is doing something different from a buyer asking "How can a regional retailer advertise on streaming TV?" The first names a business. The second leaves AI to decide which information and companies belong in the answer. Run a manageable set of those questions, save the responses, and open the cited pages. Look for publications and specific articles that appear repeatedly. Check whether they discuss your competitors, the problem your customer is trying to solve, or the criteria used to compare providers. Scrunch's partnership with Stacker describes a similar workflow: identify gaps in AI answers and their sources, then use that information to guide earned-media opportunities. It gives your team a more specific starting point than pitching every publication with a high domain authority. You still need a reason for an editor to cover the story and a publication whose audience fits your business. Frequent AI citations alone do not make a publisher a good target. Give the coverage something specific to establish. A story about your company's growth may be useful publicity without answering a buyer's question about whether your product fits their needs. Before pitching, decide what the story could help a reader understand: * The customer and problem your business serves. * A capability, result or limitation that affects the buying decision. * The evidence behind the claim. * The correct company and product names. Original research, a documented customer example or an expert contribution can give a journalist useful material. Include enough detail to assess it. For a survey, that means the sample, field dates and questions. For a customer result, explain the baseline and what changed. A number with no method leaves the reader guessing. Keep press releases, distributed copies and independent coverage separate in your reporting. Meltwater's April-May 2026 citation report classified earned media and news as 37.6% of its May citations, while press releases accounted for 0.2%. Those are findings from its sample, not a forecast for your next campaign. They also show why distributing a release and earning editorial coverage should not be counted as the same activity. What an actual offsite program looked like. AirOps' September 2026 case study with Vibe, a CTV advertising platform, describes an offsite program built around the sources appearing for priority topics. The team researched gaps and worked on publisher outreach rather than relying entirely on changes to Vibe's own website. AirOps reported a 13.3% relative lift in Vibe's mention rate for the focus topic compared with the prelaunch period. It also reported that the gap with the leading competitor narrowed from 22 percentage points to 11. This is a vendor-published before-and-after case study, not a controlled test proving how much of the change came from earned media. It is useful as a description of the work: research the sources, find gaps, provide relevant evidence and measure the resulting answers. It is not a result you should put into your forecast. If your business sells connected TV advertising, for example, investigate the sources used in answers about buying, targeting and measurement. A broad company announcement may contribute less to those answers than a reported article explaining a relevant capability or customer problem. Measure coverage, mentions and recommendations separately. Your report should make it possible to see what changed, without treating every appearance as a recommendation. Record a baseline before the outreach begins. Repeat the same prompts on the same platforms, keeping language, location and other test conditions consistent where possible. Maintain a log of new coverage and website changes so you can interpret the results. If your business appears in 12 of 40 tested answers, that is a 30% mention rate within that sample. It does not mean 30% of everyone using AI sees your brand. Repeat the checks on multiple dates and read the answers rather than relying only on a dashboard score. Where an article is cited, check what information the answer actually uses. A citation beside a category explanation is different from a citation supporting a recommendation of your company. Neither, by itself, proves incremental sales. Track identifiable AI referrals and qualified inquiries, while accepting that attribution will be incomplete. Someone may read an answer and visit your website directly later. That possibility is not a reason to assign every direct visit or new lead to AI visibility. Keep your own website in the plan. Third-party coverage needs accurate information to work from, and an interested buyer needs somewhere to go next. Keep your service descriptions, product information and relevant pricing or availability details current. Make the next step clear for someone who arrives after researching your business elsewhere. Also separate organic visibility from advertising. In Floodlight's research on ChatGPT recommendations and advertisers, Floodlight, Inc. examined organic answers and ad placements as distinct results. That study did not test whether buying ads causes more organic recommendations. For your earned-media program, the useful question is whether relevant coverage helps your business appear accurately in the answers your buyers use. Work from those questions, pursue stories with something substantive to contribute, and inspect the answers after coverage appears.

Everything-PR News LLC
Aug 21st, 2026
Scrunch AI raises $19M for Agent Experience Platform that makes websites machine-readable for AI crawlers

Scrunch AI has raised $19 million across two funding rounds—a $4 million seed led by Mayfield in March 2025 and a $15 million Series A led by Decibel in July 2025. Homebrew and GTM Capital also participated, alongside angels including TJ Parker, Bryant Chou, and Clara Shih. The Salt Lake City startup, founded in 2023, operates an Agent Experience Platform that creates a machine-readable website layer for AI crawlers without altering the consumer-facing site. It also monitors brand mentions across six AI engines, including ChatGPT, Claude, and Perplexity. Scrunch serves over 500 brands and reports 50% month-over-month customer growth. The company claims customers see an average 40% increase in AI-attributed referral traffic and up to four times improvement in AI search visibility.

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