Infidigit and Semrush Partner to Help Brands Win the AI Discovery Era marks a strategic alliance that blends Infidigit’s execution engine with Semrush’s AI‑driven search intelligence. The partnership promises to give enterprise marketers a clearer view into AI‑generated search results and a faster path to converting that visibility into revenue.
A New Playbook for AI‑Powered Brand Discovery
The collaboration centers on Semrush’s AI Optimization (AIO) platform, which aggregates more than 261 million prompts across 32 regional databases and identifies over 36 million unique brands. By feeding this data into Infidigit’s proprietary Infigrowth workflow, brands can now map AI‑prompt signals to concrete actions across SEO, GEO targeting, content, conversion‑rate optimization (CRO), and AI‑discovery tactics.
Infidigit, which has helped over 200 global brands win awards and revenue growth, will act as the execution arm, translating raw prompt data into end‑to‑end campaigns that tie AI visibility directly to measurable outcomes. “We are living through the most significant shift in brand discovery since Google became the default,” said Kaushal Thakkar, Infidigit’s founder and CEO. “Buyers now form opinions inside AI systems before they ever land on a website. Our joint solution gives brands the signal and the speed needed to win at that moment.”
Why the Announcement Matters
AI‑generated answers now account for roughly 37 % of consumer search journeys, according to internal Semrush research, while LLM‑referenced visitors convert at 4.4 × the rate of traditional traffic. Gartner predicts that by 2027, 70 % of marketers will allocate a larger share of budgets to AI‑enhanced search, yet only 30 % feel equipped to act on the data. This partnership directly addresses that gap, offering a data‑rich, execution‑ready platform that can be deployed at enterprise scale.
The timing also aligns with broader industry shifts. A recent Forrester study found that 80 % of AI‑generated search answers cite sources with strong organic SEO foundations. Brands that have invested in traditional SEO now have a head start in AI search, but they lack the granular prompt‑level insight required to dominate the new discovery frontier. Infidigit and Semrush aim to fill that void.
Competitive Landscape
While several vendors—such as Adobe’s Experience Cloud and Salesforce’s Marketing Cloud—offer AI‑augmented analytics, few combine a prompt‑level database with a proven execution framework. Competitors tend to focus on high‑level insights or on isolated AI tools that require separate integration. By contrast, the Infidigit‑Semrush stack delivers a unified workflow: from prompt identification to campaign launch, all within a single SaaS environment. This could force rivals to accelerate their own prompt‑level offerings or risk losing relevance in the fast‑moving AI discovery market.
Programmatic advertising platforms are already integrating AI signals to inform bidding strategies, while CDPs and DMPs are expanding to capture first‑party data that feeds prompt‑level personalization. The Infidigit‑Semrush partnership sits at the intersection of these trends, offering a data‑first approach that can be layered onto existing DSP, SSP, and CDP stacks.
Implications for Enterprise Marketing Teams
For large‑scale marketers, the partnership translates into three practical benefits:
- Visibility into AI Answer Sets – Teams can see exactly which prompts surface their brand, enabling proactive content creation and schema optimization.
- Actionable Recommendations – The AIO platform surfaces high‑impact opportunities, such as emerging product queries or regional demand spikes, that can be fed directly into media buying or SEO roadmaps.
- Speed to Market – Infidigit’s Infigrowth engine automates the translation of insights into campaigns, reducing the time from data discovery to live activation from weeks to days.
These capabilities align with IDC’s forecast that AI‑driven marketing automation will contribute $1.2 trillion in incremental revenue for enterprises by 2028.
Market Landscape
The AI discovery era is reshaping how brands compete for attention. Traditional search remains dominant, but AI assistants, voice interfaces, and generative search are eroding the click‑through model. According to Statista, 60 % of mobile searches now end without a click, underscoring the importance of appearing within AI answers rather than relying on traffic to a website.
Programmatic advertising platforms are already integrating AI signals to inform bidding strategies, while CDPs and DMPs are expanding to capture first‑party data that feeds prompt‑level personalization. The Infidigit‑Semrush partnership sits at the intersection of these trends, offering a data‑first approach that can be layered onto existing DSP, SSP, and CDP stacks.
Top Insights
- AI prompts are becoming the new keyword: Over 261 million prompts now drive brand visibility, demanding a shift from keyword‑centric SEO to prompt‑centric optimization.
- Execution speed is a competitive moat: Brands that can move from insight to activation within days will capture the majority of AI‑generated demand.
- Traditional SEO still matters: 80 % of AI answers reference sites with strong organic authority, making legacy SEO investments a valuable foundation for AI success.
- Enterprise tools must integrate: Seamless connections between AI intelligence platforms and execution engines are essential to avoid siloed workflows.
- Revenue impact is measurable: Early adopters report up to 4.4 × higher conversion rates for LLM‑referenced traffic, translating into significant ROI for AI‑focused campaigns.
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