Inside the tool
A real BuzzView analysis in this category
Frontify’s AI visibility across ChatGPT, Google AI Overviews & Perplexity — one of the brands tracked in this category, straight from the live tool.
We sent 24 real buying questions to ChatGPT and Google AI Overviews – the questions digital and content teams actually ask. Then we counted which providers get named, and how often. The result is a ranking built from real AI answers, not opinion.
Contentful (6.6%) and Adobe (5.6%) dominate the answers – the remaining 92 named providers split what's left. If you're not here, you simply don't exist to AI users. That's exactly the gap BuzzView makes visible.
Share of all brand mentions across 24 prompts (Share of Voice). The longer the bar, the more often AI names the provider – across every question tested.
Behind the ranking — what the numbers actually mean for brands in the CMS & Digital Experience space.
Across 24 real buying prompts, AI models named 92 distinct providers in the CMS and Digital Experience category — generating 288 total brand mentions. That number alone tells a story: this is one of the most fragmented software categories tracked by BuzzView. Unlike segments such as cloud hosting or marketing automation, where three or four platforms dominate AI responses almost exclusively, the CMS landscape is genuinely pluralistic. No single vendor commands the conversation.
The top six providers by raw mention count — Contentful (19 mentions), Adobe (16), Storyblok (13), SAP (12), Salesforce (11) and Sitecore (11) — together account for just 82 of 288 total mentions, or roughly 28%. The remaining 72% of mentions are distributed across 86 other vendors. This is an unusually flat power law for an enterprise software category, and it reflects the genuine architectural fragmentation of the market: headless CMS, hybrid CMS, monolithic DXP, DAM, PIM and brand portal solutions all compete for overlapping buying queries.
The CMS category has historically resisted consolidation. Open-source roots, the rise of headless architecture, and strong regional preferences across Europe and North America have produced a long tail of credible vendors. AI models appear to have absorbed this market reality: when asked "what is the best CMS for a digital agency," the models do not converge on a single answer the way they might for, say, a payroll tool. They surface multiple plausible candidates, often segmented by use case or company size, which systematically dilutes any individual brand's share of voice.
The implication for vendors in this space is double-edged. On one hand, fragmentation means that even a relatively unknown provider can earn AI mentions if it occupies a distinct niche — the data shows 80 vendors each named by AI at least once beyond the tracked set. On the other hand, the absence of a dominant voice means there is a genuine opening for any brand that systematically invests in AI visibility. The category leader in AI-search mindshare has not yet been crowned, and the window to claim that position is still open.
With 92 providers competing for 288 mentions, CMS & Digital Experience is a category where consistent, structured AI-visible content can move the needle fast — there is no single entrenched leader to displace.
Among the six tracked providers, the visibility scores reveal a stark split. Frontify achieved a perfect visibility score of 100, meaning AI models surfaced the brand across all relevant prompt types tested. Pimcore, Contentful, Storyblok and Magnolia each scored 87.5 — present in the vast majority of applicable queries. CoreMedia, by contrast, scored 50.0, appearing in only half of the prompts where it could plausibly have been named. That is a 50-point gap between the most visible and least visible tracked vendor in the same category.
What drives this gap? In the CMS and Digital Experience category, AI visibility is closely correlated with the quality and breadth of publicly available technical documentation, developer community content and third-party editorial coverage. Frontify's developer-facing documentation, its API reference content and its active presence on platforms like GitHub and developer blogs appear to give it unusually broad signal density for AI training pipelines. CoreMedia, despite its enterprise pedigree and strong deployment base, has historically maintained a lower-volume public content footprint — relying more on analyst relations and direct sales than on self-serve educational content.
It is also worth noting that share of voice does not map perfectly to visibility. Pimcore holds the highest SOV among tracked firms at 17.1%, yet its visibility score of 87.5 is identical to Contentful (SOV 15.2%) and Storyblok (SOV 14.6%). This tells us that Pimcore earns more mentions per prompt where it appears, but does not appear more broadly across the prompt set. Frontify, with a SOV of 16.3% and perfect visibility, represents the most consistent overall performer: it shows up everywhere and earns a meaningful share when it does.
For vendors trying to improve their AI visibility in this category, the implication is clear: breadth of coverage matters as much as depth of mentions. A brand that appears in 50% of prompts but earns multiple mentions each time is less well-positioned than one that appears consistently across all prompt types, even if the per-prompt mention count is lower. The path to higher visibility runs through comprehensive topical coverage — integration guides, use-case documentation, comparison-ready positioning pages and structured schema markup that AI crawlers can parse and trust.
The 50-point visibility gap between Frontify and CoreMedia shows that AI presence in this category is not automatic — it is earned through breadth of documented, crawlable, use-case-specific content, not just product maturity or market share.
The sample prompts used in this study span four distinct intent types: best-of recommendations ("What are the best Brand Management tools for agencies?"), head-to-head comparisons ("Compare Contentful, Storyblok and Prismic for scalable personalized content"), alternative-seeking queries ("What are the alternatives to Brandfolder for centrally managing brand assets?") and vertical use-case prompts ("What are the best PIM tools for large enterprises in Germany?"). Each prompt type surfaces a meaningfully different set of providers, and the winners in one type are not necessarily the winners in another.
Best-of and recommendation prompts tend to favor established, broadly recognized platforms. In this data set, Contentful and Adobe dominate best-of responses — they carry the brand recognition and review platform presence that AI models interpret as signals of category leadership. Contentful's 19 total mentions and Adobe's 16 are largely driven by these recommendation-style queries, where AI models default to the most frequently reviewed and cited solutions. Brands that lack a strong G2, Capterra or analyst-report presence tend to score lower here regardless of their actual capabilities.
Comparison prompts tell a different story. When a user asks AI to compare specific vendors head-to-head — say, "Compare Frontify, Brandfolder and Bynder" — brands like Frontify, Bynder and Pimcore become prominent, even if they would not have been top-of-list in a generic best-of query. This is because AI models surface detailed feature comparisons from documentation pages, blog posts and community content — favoring brands with rich, structured comparison-ready materials. Alternative-seeking prompts similarly reward brands that position themselves explicitly as alternatives to category incumbents, as Storyblok and Sanity do against Contentful.
Vertical and use-case prompts — such as "best PIM tools for large enterprises in Germany" — introduce yet another dynamic. Here, regional signal and enterprise positioning matter. SAP appears strongly in enterprise and German-market queries, where its ERP ecosystem integration is a recognized differentiator. Pimcore's strong SOV of 17.1% is partly explained by its traction in German-speaking markets and its dual positioning as both a PIM and a DXP. Brands that want to win across all four prompt types need a content strategy that addresses each intent: editorial authority for best-of, structured comparison pages for head-to-head, alternative positioning for switch-intent queries, and vertical-specific content for use-case prompts.
A single content format cannot win across all prompt types — brands in the CMS & DXP space need best-of authority content, direct comparison pages, alternative-positioning copy and vertical use-case guides to compete comprehensively in AI search.
One finding that stands out in this data set is the complete absence of negative sentiment across all leaderboard entries. Every brand that earned AI mentions received either positive or neutral framing — zero providers in the top twelve received a single negative mention across 24 prompts and 288 total brand references. This is not unusual in a well-established software category: AI models trained on editorial and documentation content tend to describe tools in factual, solution-oriented terms rather than adopting critical editorial stances. The absence of negativity is a baseline condition, not a differentiator.
Where the meaningful variance lives is in the ratio of positive to neutral mentions. Sitecore leads the tracked leaderboard brands in positive sentiment with 5 positive mentions out of 11 total — a 45% positive rate. Frontify and Bynder both achieve 5 positive mentions, with Frontify earning those out of 8 total (63% positive rate) and Bynder out of 7 (71% positive rate). Adobe also earns 5 positive mentions out of 16 (31%). At the other extreme, Salesforce earns zero positive mentions across all 11 of its appearances — every single reference is classified as neutral. This is a striking signal for a vendor of Salesforce's scale and budget.
What drives positive sentiment in the CMS and Digital Experience category? The pattern in this data suggests three primary factors. First, specificity of customer outcomes: brands like Frontify and Bynder are frequently mentioned in contexts that reference concrete workflows — "managing brand assets centrally," "ensuring brand consistency across teams" — which generates outcome-oriented framing that AI classifies as positive. Second, user review volume and tone: platforms with a strong base of detailed, outcome-focused G2 or Capterra reviews tend to earn more positive framing in AI responses that draw from aggregated review signals. Third, use-case fit: niche vendors named in highly specific contexts — "Pimcore for omnichannel product data" — tend to earn more positive framing than broadly recommended platforms named as one of many options.
Salesforce's neutral-only profile is instructive. Despite its 11 mentions — matching Sitecore and placing it fifth overall — every appearance is descriptive and category-agnostic: "Salesforce offers CMS capabilities as part of its broader Experience Cloud suite." There is no outcome framing, no specific customer story, no use-case anchor. This reflects a known challenge for platform vendors whose CMS or DXP capability is bundled within a larger product suite: AI models describe the feature set but do not frame it as a best-fit recommendation. Brands in this position should develop standalone, outcome-specific content for their CMS or DXP product lines if they want to shift from neutral mentions to positive ones.
In a category where no brand earns negative AI mentions, the real competitive edge is in positive-sentiment ratio — Bynder's 71% and Frontify's 63% positive rates show that outcome-specific, use-case-anchored content turns neutral name-drops into genuine AI endorsements.
Taken together, the full data picture places CMS and Digital Experience in what we classify as a mid-maturity AI search category. It is neither nascent — where AI models lack enough training signal to consistently recommend specific vendors — nor fully mature, where one or two brands have established such dominant mindshare that displacement is nearly impossible. With 92 distinct providers named across just 24 prompts, the category is still in an active formation phase, where AI models are drawing from a wide pool of sources and have not yet narrowed the recommendation set around a clear authority hierarchy.
Several signals point to this mid-maturity status. The top provider by raw mention count, Contentful, holds a share of voice of only 6.6% — meaning that even the market leader captures fewer than 1 in 15 brand mentions. By comparison, in a fully mature AI category such as cloud CRM, the top brand typically commands 20-30% SOV. The near-uniform visibility scores among the tracked firms — with four providers sharing an 87.5 score — also suggest that AI models have not yet developed strong preference signals that would sharply differentiate these platforms in general buying queries.
The sub-category structure of CMS and Digital Experience also contributes to this mid-maturity profile. The category encompasses at least five meaningfully distinct product types: headless CMS (Contentful, Storyblok, Sanity), digital experience platforms (Adobe, Sitecore, Magnolia), DAM and brand management (Frontify, Bynder), PIM (Pimcore), and all-in-one DXP suites (SAP, Salesforce). AI models respond to buying queries by first identifying which sub-category the user is asking about, and then surfacing category-specific recommendations. This sub-category fragmentation creates multiple distinct AI visibility contests running in parallel, each with its own emerging hierarchy.
For brands in this space, mid-maturity is the most actionable stage to operate in. The patterns that will define AI search dominance for the next three to five years are forming right now — and they are malleable. Brands that publish structured, authoritative, use-case-specific content today are building the training signal that will shape AI recommendations well into the future. The window is open, but it is not permanent. As the category matures, the hierarchy will ossify and the cost of changing AI recommendation patterns will rise sharply. The CMS and DXP vendors that invest in AI visibility now — through comprehensive documentation, outcome-specific case studies, structured schema markup and comparison-ready positioning — are making a strategic bet with an asymmetric payoff.
CMS & Digital Experience is in the most investable phase of AI search development: patterns are forming but not fixed, which means brands that act now can shape the AI recommendation hierarchy before it calculates around incumbents.
No wishful thinking: the ranking comes from exactly these prompt types – best-of questions, comparisons, alternatives and use cases.
Visibility score = share of prompts where the provider appears in the AI answer at all. 100% means: present for every relevant question.
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Frontify’s AI visibility across ChatGPT, Google AI Overviews & Perplexity — one of the brands tracked in this category, straight from the live tool.
We set the real search and buying questions of your industry – exactly how your customers actually ask AI.
Every prompt runs against all major AI models. We count mentions, position, sentiment and the cited sources.
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