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Scrunch

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Scrunch helps brands improve their visibility and influence in AI-generated answers across multiple platforms through monitoring, analysis, and optimization.

Overview

Scrunch is an AI-first visibility and optimization platform that helps brands ensure their presence in AI agents’ answers and citations. It monitors how a brand appears across AI platforms, analyzes how information is cited, and delivers optimized content to AI consumers. The goal is to help brands be found, cited, and trusted in AI-powered environments. The platform serves brands and marketing agencies, providing insights, benchmarks, and tools to improve share of voice, citation quality, and revenue impact. Scrunch emphasizes an end-to-end approach: observe what agents say and do, identify opportunities to improve brand visibility, and deliver what AI systems need to reference accurately. The aim is to help organizations grow revenue by ensuring a consistent brand presence across AI-enabled discovery and decision-making. The company highlights governance, scalability, and enterprise readiness to support large teams and multi-client engagements, while offering a range of features to audit, monitor, and optimize brand signals in AI ecosystems.

Mission statement

To help brands succeed in an AI-first world by ensuring visibility, credibility, and influence in AI-generated content and citations.

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What we offer

Agent Experience Platform (AXP)

Optimize how your brand appears to AI agents to improve visibility and drive revenue.

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Who do we serve

Consumer Brand Leaders

Global brands seeking AI-driven visibility and trusted citations.

Geography: Global markets (NA, EMEA, APAC)

How we help: Optimizes brand signals for AI ecosystems by delivering token-light content, monitoring citations, and analyzing AI-driven traffic to grow revenue.

Marketing Agencies

Agencies managing multiple client brands seeking scalable governance of brand signals in AI.

Geography: North America, Europe, APAC

How we help: Helps agencies govern and optimize client brand signals in AI ecosystems, delivering content to AI agents and measuring impact to demonstrate ROI.

D2C And E‑commerce Brands

D2C brands seeking AI-enabled shopping visibility and accurate AI references.

Geography: Global markets

How we help: Helps brands optimize product data and content for AI references, delivering accurate AI-consumable signals and measurable impact.

Market segments

Market size by segment

Growth potential (CAGR)

AI Search Optimization

7.5 Billion USD22.5% CAGR

Capabilities that audit site readiness for AI-driven discovery, provide actionable content and technical recommendations (including LLM.txt generation), and measure AI-driven traffic and conversions to improve discoverability and engagement.

Products: Agent Experience Platform (AXP)

Answer engine optimization

1.5 Billion USD8% CAGR

Capabilities that structure, optimize, and produce content specifically to be cited by answer engines and AI-assisted search (AEO), including schema, citation-ready content, and citation signal improvement.

Products: Agent Experience Platform (AXP)

AI Brand Visibility Monitoring

0.8 Billion USD15% CAGR

Capabilities that monitor how brands are described and cited by AI answer engines, track which models reference a brand, surface narrative drift and risky claims, and provide time-based dashboards and alerts for brand governance.

Products: Agent Experience Platform (AXP)

AI shopping visibility

4.39 Billion USD19.55% CAGR

Visibility into how products surface in AI shopping and commerce conversations, including SKU-level placement, product attributes, merchant context, and competitive positioning.

Products: Agent Experience Platform (AXP)

More information about our offering

Agent Experience Platform (AXP)

Agent Experience Platform (AXP) is Scrunch's platform for optimizing how brands appear to AI agents. It combines visibility, measurement, and content delivery to ensure AI systems see, reference, and recommend your brand. AXP provides modules for delivering optimized content directly to AI consumers, analyzing AI-driven traffic to your site, and diagnosing how AI interacts with your pages. It also includes monitoring and citations, insights, product-level shopping visibility, and AI search trend intelligence to drive brand presence and revenue in AI-powered discovery.

  • Gain Insights On AI Interactions
    Understand how AI agents visit and engage with your content to enhance user experience and brand visibility.
  • Deliver Optimized Content
    Ensure that AI agents receive high-quality content tailored for maximum visibility and engagement.
  • Identify & Fix Performance Issues
    Pinpoint technical and editorial issues impeding AI consumption and prioritize necessary fixes.
  • Leverage Trends For Strategy
    Utilize insights from AI search trends to adjust marketing strategies and optimize content accordingly.
  • Monitor Brand Citations
    Understand where your brand is mentioned in AI responses, enhancing citation quality and share of voice.
  • Receive Actionable Recommendations
    Get strategic advice aimed at improving your AI presence and related performance metrics.
  • Enhance Product Visibility
    Gain insights into how individual products perform in AI searches and adapt strategies to improve outcomes.

Sources

Methodology and sourcing behind the figures and links shown above.

AI Search Optimization

Estimated by triangulating the AI search engine market ($16–19B in 2025) and the broader SEO services market (~$70.5B in 2024). AI Search Optimization is a niche/service subset (audits, LLM.txt, AI citation measurement) that likely represents a single-digit share of SEO spending today but benefits from AI-search-specific adoption rates (much higher than traditional SEO). Using reported AI search market growth (20–36%+ ranges) and slower baseline SEO growth (~6%), I estimate a higher-than-average CAGR for this niche as enterprises prioritize AI discovery readiness, giving ~22.5% CAGR and a current market size around $7.5B globally.

Answer engine optimization

Estimate uses published AI SEO / AEO market figures as a proximate market for Answer Engine Optimization. AI SEO is reported at $1.5B today with an 8% annual growth rate; industry signals (Gartner, Infosys) show rapid adoption of AI answer engines and declining traditional search clicks, supporting continued mid-single-digit to low-double-digit CAGR potential for the AEO segment.

AI Brand Visibility Monitoring

Search results identify the broader “AI in Branding” market at USD 2.64B with an 11.6% CAGR (PromptPosition). AI Brand Visibility Monitoring is a narrower subset (monitoring, citation tracking, execution integrations, and services). Using the cited $2.64B as the umbrella market, I allocate ~30% to the specialized visibility/monitoring segment (tools + services and enterprise adoption), yielding an estimated current market size of ~USD 0.8B. Growth potential is set above the broader 11.6% CAGR (estimated ~15%) because multiple results document accelerating demand driven by AI-driven discovery, enterprise compliance needs, and rapid SaaS pricing expansion for visibility tools—factors that should drive faster uptake than the general AI-in-branding average.

AI shopping visibility

Estimate based on Mordor Intelligence’s AI Search Visibility Services report (USD 4.39B market in 2026; projected USD 10.72B by 2031, 19.55% CAGR). Adoption signals from Yotpo (40% of search traffic via AI by 2027) and LinkedIn reporting (73% of consumers use AI in their shopping journey) corroborate strong near-term growth potential for AI shopping visibility services.

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