Turn AI recommendations into a measurable revenue channel
Track, attribute, and optimize the revenue hiding in AI-driven discovery.
AI Share of Voice
Visibility across LLM ecosystem
Model Performance
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Attribution Flow
AI Recommendation
24.5kWebsite Visit
3.1kCRM Opportunity
162Attributed Rev
AI visibility and attribution at market scale
End-to-end visibility
From AI recommendation to signed contract. Track which LLM mentions convert, and at what rate.
Share of Voice monitoring
See exactly how often ChatGPT, Claude, and Perplexity recommend you vs your competitors. Per prompt category.
Source mapping
Identify which third-party sources LLMs rely on to build their "opinion" of your product. Then optimize them.
A growing share of demand now happens outside your analytics
Your brand is being recommended by AI models, without you knowing when or how.
Demand is created upstream of your website, beyond traditional analytics.
Competitors appear in AI-generated recommendations. You don't see it.
Each unseen recommendation is a buyer choosing an alternative before visiting your site.
Your attribution model was not designed for AI-driven journeys.
Decisions increasingly start inside LLMs and never reach your funnels.
Built on direct observation of LLM behavior
Activity at the model level, no estimates
We analyze the real interactions of AI crawlers at the infrastructure level.
Market-scale semantic intelligence
We model how AI systems build knowledge across your brand and the competitive landscape.
Cognitive visibility in AI outputs
We reveal how models interpret your content — and where meaning is lost.
From connection to AI visibility in days, not quarters
Askora connects to your analytics and infrastructure.
We ingest signals from tag management, server logs, and data pipelines — without disrupting your stack.
We identify prompts shaping demand in your category.
Askora builds a universe of structured prompts reflecting how buyers truly interact with AI models.
Monitor AI-driven visibility and outcomes.
Track recommendations, measure downstream impact, and refine your AI presence over time.
What enterprises unlock with Askora
Make invisible demand measurable
Recover pipeline that never reached your funnels.
Identify AI-driven demand occurring upstream of your website and attribute it accurately.
Regain competitive control
Understand when AI models recommend alternatives.
See where and why competitors appear in AI-generated recommendations — and close the gaps.
Replace assumptions with evidence
Build GEO strategies on real model behavior.
Optimize the sources and signals LLMs actually rely on — not best guesses.
Extend attribution beyond your website
Connect AI visibility to revenue outcomes.
From AI recommendation to CRM events, Askora integrates with your GTM and revenue stack.
Pricing aligned with scale, not features
Askora is designed for teams operating AI-driven acquisition as a strategic channel
Growth
For teams beginning to monitor AI-driven visibility.
Starting at €249 / month
- AI crawler detection & visibility tracking
- AI referral traffic identification
- Prompt-level share of visibility (limited scope)
- Standard dashboards & exports
Scale & Enterprise
For organizations treating AI recommendations as a revenue channel.
Custom pricing
- Full AI visibility & attribution (end-to-end)
- Market-scale prompt intelligence
- Competitive AI share of voice
- Semantic & knowledge modeling
- Advanced GTM, CRM & data warehouse integrations
- Dedicated onboarding & strategic support
We don't price per seat. We price per AI surface area
Askora pricing reflects the scope of your AI-driven visibility — not how many users log in.
Market scope
- Number of categories and sub-categories monitored
- Geographic and language coverage
- Competitive landscape analyzed
AI interaction volume
- AI crawler activity observed on your infrastructure
- LLM queries and recommendations analyzed
- Prompt universe size tracked over time
Attribution depth
- Visibility-only vs. full journey attribution
- GTM, CRM and data warehouse integrations
- Downstream revenue and funnel impact
Organizational complexity
- Number of brands, products or domains
- Governance, access control and compliance needs
- Custom reporting and data models
They scale per market.
Whether 3 or 300 people log into Askora, your AI exposure remains the same, and so does the complexity of measuring it.
Frequently Asked Questions
What is Generative Engine Optimization (GEO)?
GEO is the discipline of managing how AI models understand, recommend, and cite your brand. Unlike SEO, which focuses on ranking web pages in search engines, GEO addresses a different layer: how large language models (ChatGPT, Claude, Gemini, Perplexity) construct knowledge and generate recommendations during buyer research. Askora treats AI recommendations as a new acquisition and influence channel — observable, measurable, and optimizable.
Why does AI-driven demand not appear in my analytics?
A growing share of buyer research now happens inside AI systems, upstream of your website. Many AI-driven journeys: never trigger a traditional search click, never appear as referral traffic, and never enter standard attribution models. Askora detects AI model activity directly (crawler-level and recommendation-level) and connects it to downstream visits and conversions, making this previously invisible demand measurable.
What does Askora actually track?
Askora operates at three levels: (i) AI visibility - When and where your brand is cited or recommended by AI models. (ii) Competitive exposure - Which alternatives AI systems mention instead of you, and in which contexts. (iii) Business impact - How AI-driven visibility translates into visits, pipeline signals, and revenue events. This goes beyond monitoring mentions, it is end-to-end observability of AI-driven demand.
How does Askora improve visibility in AI-generated responses?
Askora does not rely on assumptions or generic "AI SEO" tactics. It enables teams to : observe real AI model behavior, understand how AI systems interpret their content and brand signals,identify the sources and entities AI models rely on, and correct misinterpretations at the data and semantic level. Optimization is based on evidence, not heuristics.
How fast can we expect insights?
Initial visibility and AI activity data typically become available within days of connection. Strategic insights evolve continuously as Askora models: prompt-level demand, competitive dynamics, and changes in AI-generated recommendations over time. Askora is designed for ongoing governance, not one-off optimization.
How is Askora different from GEO tools or SEO platforms?
Most tools infer AI visibility indirectly or repurpose SEO signals. Askora is built on direct observation of LLM behavior: real AI crawler activity, real AI-generated recommendations, and real downstream outcomes. This infrastructure-level approach is what enables reliable attribution and strategic decision-making.
How does GEO fit into an existing SEO and analytics stack?
GEO operates upstream of traditional search and attribution. While SEO focuses on page ranking and traffic capture, GEO governs how AI models: construct knowledge, synthesize sources and recommend brands before any click occurs. As AI-driven discovery grows, an AI-first approach becomes the foundation, with SEO as a downstream beneficiary.
Who is Askora built for?
Askora is designed for organizations operating AI-driven acquisition at scale. It serves mid-market and enterprise teams who need visibility, governance, and attribution across AI models. Its full value emerges when AI recommendations become a strategic growth channel.
Is Askora GDPR compliant and enterprise-ready?
Yes.Fully GDPR compliant. No customer data is reused or resold. No content is used to train external models. Data can be exported or deleted at any time. Security and governance are treated as first-class requirements.