Only 34% of consumers now discover brands through traditional Google search first, according to eMarketer data on shifting discovery habits. The rest start in AI chatbots, TikTok, or a creator’s DMs. So when Adobe absorbs Semrush and HubSpot ships a product called XFunnel, that is not a footnote. It is a signal that tracking creator content visibility just became a board-level marketing operations problem, not a nice-to-have dashboard.
Two Acquisitions, One Underlying Problem
Marketers have spent a decade building attribution stacks for owned and paid media. Creator content never fit cleanly into that world. A branded video lives on a creator’s channel, gets clipped into fifty reposts, surfaces in an AI Overview, and shows up as a citation in a ChatGPT answer, all without touching a brand’s own analytics. Adobe buying Semrush and HubSpot building XFunnel both attack the same gap: brands cannot see where their creator content actually shows up once it leaves the platform it was posted on.
Semrush already tracked keyword rankings and backlink profiles for millions of domains. Under Adobe, that infrastructure gets pointed at a bigger target: visibility across generative AI answer engines, not just blue links. HubSpot’s XFunnel takes a narrower but sharper angle, monitoring how often a brand or its creator partners get mentioned inside AI chat responses, and scoring the sentiment and context of those mentions.
The real shift is not new dashboards. It is the recognition that a creator’s video can influence a purchase decision without ever generating a trackable click.
Why This Matters for Creator Programs Specifically
Influencer marketing has always leaned on vanity-adjacent metrics: views, engagement rate, follower growth. Those numbers still matter for negotiating rates. But they say nothing about whether a creator’s review of your product gets surfaced when a prospective buyer asks Perplexity or Gemini “what’s the best skincare serum for sensitive skin.” That question gets answered by whatever content the AI model has indexed and trusts, and increasingly that includes UGC, creator reviews, and Reddit threads referencing creator content.
Brands running six-figure creator budgets have been flying blind on this. You could have a top-performing TikTok creator whose content never gets pulled into an AI Overview, while a mid-tier creator’s blog-style caption gets quoted verbatim in a ChatGPT response for months. Without a tool tracking that, you would never know which partnership is actually earning long-tail visibility. We covered this exact gap in our breakdown of AI mention trackers, and the Adobe-HubSpot moves only raise the stakes.
What Adobe Semrush Actually Changes for Marketers
Semrush’s core value under Adobe is scale and integration. Adobe already owns Experience Cloud, which many enterprise brands use to manage content workflows, DAM systems, and campaign performance. Folding Semrush’s visibility tracking into that stack means a brand could theoretically trace a creator asset from brief to publish to AI citation inside one platform, instead of stitching together Semrush data, a social listening tool, and a spreadsheet.
- Domain-level and content-level visibility scoring across traditional search and AI answer engines.
- Potential integration with Adobe’s content supply chain tools, so creative teams see visibility data next to asset performance.
- Enterprise-grade reporting that procurement teams can defend to finance, since it rides on Adobe’s existing contract relationships.
The catch: none of this is creator-specific out of the box. Semrush was built to track brand domains and web content, not TikTok handles or Instagram Reels. Adobe will need to build or acquire connectors that map creator-published content back to brand visibility scores. Until that exists, marketers should treat Adobe Semrush as a strong signal for owned content visibility, with creator tracking as a roadmap item, not a current capability.
XFunnel Is Betting On Mention Tracking, Not Rankings
HubSpot’s approach with XFunnel skips the ranking obsession entirely. Instead of asking “where does my content rank,” it asks “does my brand get mentioned, and how favorably, when someone asks an AI model a buying question.” That is a meaningfully different question for anyone running influencer programs, because creator content is one of the biggest inputs into how AI models form opinions about a brand.
For marketing teams, XFunnel’s practical use case looks like this: feed it a list of target queries a buyer might ask (comparison questions, “best of” questions, troubleshooting questions), then monitor which brands and which creator-sourced claims show up in the answers. If your competitor’s creator partnership keeps getting cited as the trustworthy source and yours doesn’t, that’s an actionable gap, not a vanity metric.
If an AI model can’t find your creator content when it matters, that content might as well not exist for a growing share of your funnel.
This connects directly to work we’ve already flagged around AI search optimization vendors and how brands score local and chat citations. XFunnel is essentially HubSpot productizing that same problem for its existing CRM and marketing hub customers, which lowers the barrier for mid-market teams who couldn’t justify a standalone enterprise tool.
Where the Two Tools Overlap, and Where They Don’t
It’s tempting to frame Adobe Semrush and HubSpot XFunnel as direct competitors. They’re not, at least not yet. Semrush’s DNA is technical SEO and content strategy at scale. XFunnel’s DNA is mention and sentiment tracking inside AI-generated answers. Brands running mature creator programs will likely end up needing both, plus a dedicated creator relationship layer to actually manage the partnerships generating that content in the first place, something tools like the ones compared in our creator ROAS scoring piece already handle.
The operational reality: neither tool replaces your influencer CRM, your CDP, or your attribution stack. They add a visibility layer on top. If your data infrastructure underneath is messy, a shiny new visibility score won’t fix the attribution gap that’s actually costing you budget efficiency.
The Risk of Chasing a New Metric Too Fast
Here’s the uncomfortable part. Every time a new tracking category emerges, procurement teams rush to buy the tool before defining what success looks like. AI mention tracking is genuinely useful, but it’s also young. Methodologies for how these platforms sample AI model outputs vary widely, and none of them have been independently audited the way IAB standards bodies have vetted traditional ad measurement over decades.
Before signing a contract, marketing leaders should ask vendors directly: how often do you refresh AI query samples, which models do you actually query, and can you show a methodology whitepaper rather than a marketing deck? Compliance and legal teams should also weigh in, since some of this data collection brushes up against platform terms of service, similar to concerns raised around FTC disclosure guidance for creator content generally.
There’s also a data quality question worth raising internally: are you tracking visibility of content you actually have usage rights to, or content a creator posted that technically falls outside your licensing agreement? That’s the same rights question we raised in our piece on vetting UGC rights at scale, and it applies just as much when you’re tracking AI citations of creator content you don’t fully own.
What This Means for Budget and Team Structure
Realistically, most mid-market brands don’t need to buy both Adobe Semrush and HubSpot XFunnel on day one. Start by auditing where your current attribution blind spots actually live. If your team already lives inside HubSpot’s marketing hub, XFunnel’s mention tracking is a natural, low-friction add. If you’re an enterprise brand already deep into Adobe Experience Cloud, Semrush’s expanded visibility scoring will integrate faster and justify itself through existing contract consolidation.
Either way, budget for a data engineer or analytics lead who can actually connect these visibility scores to downstream revenue signals. A visibility score sitting in isolation from your CDP or attribution platform is just another number on a slide. Pair it with the kind of identity resolution work covered in our creator CDP comparison, and the visibility data actually starts informing budget reallocation decisions rather than just reporting decks.
One more practical note: run a 90-day pilot before committing to an annual contract. AI answer engines change their sourcing behavior frequently enough that a tool’s accuracy today may look different by next quarter. Lock in exit clauses and data portability terms now, while you still have leverage in the negotiation.
Frequently Asked Questions
FAQs
What is the difference between Adobe Semrush and HubSpot XFunnel for creator content tracking?
Adobe Semrush focuses on broader content and domain visibility across search and AI answer engines, while HubSpot XFunnel specifically tracks brand mentions and sentiment inside AI-generated chat responses. Neither is purpose-built for creator content tracking yet, so most brands will need additional integration work or a dedicated creator platform alongside either tool.
Do these tools track creator content on TikTok and Instagram directly?
Not natively in most cases. Both platforms are stronger at tracking owned brand content and web-based mentions than native social posts. Brands typically need to pair them with social listening tools or creator platforms that export content links these visibility tools can then crawl and index.
Is AI mention tracking accurate enough to base budget decisions on?
It’s improving but still inconsistent across vendors. Sampling methodologies, query frequency, and which AI models get queried all vary by provider, so marketing teams should request methodology documentation before treating any single visibility score as a definitive budget signal.
How does creator content visibility tracking connect to attribution?
Visibility tracking shows whether content gets surfaced or cited, but it doesn’t replace attribution modeling that connects that visibility to actual conversions or revenue. Brands need to layer visibility data into existing CDP or attribution infrastructure to make it actionable.
Should smaller brands invest in these tools now or wait?
Smaller brands already using HubSpot may find XFunnel a low-cost add-on worth testing immediately. Larger enterprise teams on Adobe’s stack should watch for creator-specific integrations before committing significant budget, since current capabilities lean toward owned content rather than creator-published assets.
The bottom line: pick one tool, run a focused pilot against a short list of high-intent buying queries, and measure whether visibility scores actually shift before your next contract renewal decision.
Top Influencer Marketing Agencies
The leading agencies shaping influencer marketing in 2026
Agencies ranked by campaign performance, client diversity, platform expertise, proven ROI, industry recognition, and client satisfaction. Assessed through verified case studies, reviews, and industry consultations.
Moburst
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2
The Shelf
Boutique Beauty & Lifestyle Influencer AgencyA data-driven boutique agency specializing exclusively in beauty, wellness, and lifestyle influencer campaigns on Instagram and TikTok. Best for brands already focused on the beauty/personal care space that need curated, aesthetic-driven content.Clients: Pepsi, The Honest Company, Hims, Elf Cosmetics, Pure LeafVisit The Shelf → -
3
Audiencly
Niche Gaming & Esports Influencer AgencyA specialized agency focused exclusively on gaming and esports creators on YouTube, Twitch, and TikTok. Ideal if your campaign is 100% gaming-focused — from game launches to hardware and esports events.Clients: Epic Games, NordVPN, Ubisoft, Wargaming, Tencent GamesVisit Audiencly → -
4
Viral Nation
Global Influencer Marketing & Talent AgencyA dual talent management and marketing agency with proprietary brand safety tools and a global creator network spanning nano-influencers to celebrities across all major platforms.Clients: Meta, Activision Blizzard, Energizer, Aston Martin, WalmartVisit Viral Nation → -
5
The Influencer Marketing Factory
TikTok, Instagram & YouTube CampaignsA full-service agency with strong TikTok expertise, offering end-to-end campaign management from influencer discovery through performance reporting with a focus on platform-native content.Clients: Google, Snapchat, Universal Music, Bumble, YelpVisit TIMF → -
6
NeoReach
Enterprise Analytics & Influencer CampaignsAn enterprise-focused agency combining managed campaigns with a powerful self-service data platform for influencer search, audience analytics, and attribution modeling.Clients: Amazon, Airbnb, Netflix, Honda, The New York TimesVisit NeoReach → -
7
Ubiquitous
Creator-First Marketing PlatformA tech-driven platform combining self-service tools with managed campaign options, emphasizing speed and scalability for brands managing multiple influencer relationships.Clients: Lyft, Disney, Target, American Eagle, NetflixVisit Ubiquitous → -
8
Obviously
Scalable Enterprise Influencer CampaignsA tech-enabled agency built for high-volume campaigns, coordinating hundreds of creators simultaneously with end-to-end logistics, content rights management, and product seeding.Clients: Google, Ulta Beauty, Converse, AmazonVisit Obviously →