For two decades, discovery meant a list. Ten blue links, judged by you, ranked by relevance. The buyer was the decider, SEO was the lever.
That is over.
Today, 67% of B2B buyers consult AI before contacting sales. They do not see a list, they see an answer. Three to five brands, named directly, presented as the considered choice.
The decision is being made in a place SEO cannot reach, by a system that does not show its work, in a moment you have no visibility into, until your pipeline starts to dry up.
Most categories do not yet have a dominant brand in AI search. The brands that move now will be impossible to displace. The ones that wait will spend years trying to claw back ground that was never theirs to lose.
67% of B2B buyers consult AI before contacting sales. By the time a request hits your CRM, the shortlist is already locked. You did not lose the deal in the demo, you lost it in a prompt you never saw.
AI consolidates over time. As models accumulate citation patterns and brand authority signals, the same categories that surface 30 brands today will surface 3 brands in 24 months. Once a brand owns the answer, displacing it is brutally expensive.
Brands already optimising for AI recommendation report a 74% visibility lift. Every recommendation feeds the next, every citation strengthens authority, every week without intelligence is a week your competitor pulls further ahead.
The brands that move first will not be replaced.
The brands that wait will not be remembered.
AEO and GEO describe a goal: getting cited inside an AI answer. Neither explains why AI selects one brand over another, or what to do about it. ARI is the missing layer. CPR is how we measure the cost of staying invisible.
Every Airise scan adds to a growing historical record of AI brand recommendations. Time-series data compounds in value. Today's signal becomes tomorrow's benchmark.
A proprietary taxonomy mapping how prompt phrasing and intent drive which brands get recommended. Many can build a tracker. Few can build prompt intelligence.
A model that learns from citation networks, entity presence, and content patterns to explain AI brand selection and point to the changes that move it. The leap from "what happened" to "what to do next".
A discipline needs a system to run it. Continuous intelligence, three layers, working together. Below: how Airise turns ARI from a definition into a daily operating system for your category.
A discipline needs a system that runs it. Airise is built around three intelligence layers that work continuously, not one-off reports. Map the category. Decode the signals. Execute the plan.
Queries across ChatGPT, Claude, Gemini, and the leading open models using our proprietary Prompt Graph, which maps how prompt phrasing and intent shape which brands get recommended. A complete map of who gets recommended in your space, and how often.
For every recommendation your competitor receives that you do not, Airise identifies the exact AEO, GEO, and entity signals driving it. Citation authority, structured data, content patterns, mention probability gaps.
A live, prioritised action plan derived from your category's actual recommendation patterns. Not generic advice. Specific GEO content moves, AEO fixes, authority targets that move your ARI Score week over week. Every action priced in CPR recovered.
Every score traces back to a moment like these. Airise reads each model's answer as it lands: who it named, what it cited, and why it chose them over you. This is the layer no other tool will show you. Not just that you lost, but exactly why.
Airise runs the whole loop. Map daily, decode weekly, execute continuously. Your ARI Score moves week over week because your inputs do.
ARI is not abstract. It plugs into the workflows of the four people who actually move the needle on AI recommendation: marketing leadership, SEO, content, and the agencies that serve them. Each gets a different view of the same intelligence.
Track AI recommendation share against named competitors. Know which prompts you own and which you've lost. Build the board narrative around AI visibility, not just impressions and clicks.
Stop guessing which signals matter for AI. ARI shows the exact schema, entity, and citation patterns driving competitor recommendations, prioritised by impact. Your weekly sprint plan, generated.
Briefs derived from real prompt-graph data, not keyword tools. Know which question patterns, comparisons, and entity signals earn citations in your category. Stop publishing into silence.
White-label ARI reports for every client. Walk into reviews with category-specific recommendation maps and a priced action plan. Move the conversation from rankings to recommendations.
From your first ARI Score to enterprise-wide AI visibility intelligence. Every tier includes the educational context that makes Airise data actionable.
One free report per brand. Your ARI Score, your share of voice, the competitors AI recommends instead of you, and the reasoning behind every call. The complete report. Not a teaser.
One brand, watched. Your report refreshed on a cadence, so you see what moves.
The power tier. Every model, faster cadence, and the live tools that make AI visibility a daily habit.
Run every client's AI visibility in one place, and give each one a scoreboard they cannot stop checking.
AI decision intelligence as infrastructure. Your data, your regions, your stack.
Yes. The free ARI diagnostic is a one-time scan with no commitment. You can upgrade to any paid tier at any time. Your historical scan data carries over when you subscribe.
The live prompt tester is coming soon. When it ships, each paid tier will include a monthly test allowance that resets at the start of your billing cycle, with the most room on Enterprise. We'll confirm exact limits at launch.
It's coming for Agency and Enterprise plans. You'll be able to generate PDF reports with your own branding, share client-facing report links, and manage multiple brands from a single dashboard. Most agencies resell ARI audits at a significant markup.
Starter tracks ChatGPT, Claude, and Gemini. Pro adds DeepSeek, Qwen, Llama, and Mistral, seven in total, with Perplexity coming soon. Agency and Enterprise get those plus first access to new models as they come online. Each model is analyzed independently because recommendation behaviour varies significantly across LLMs.
Yes. Annual billing saves 20% across all tiers. You can switch between monthly and annual billing at any time from your account settings.
The ARI Index is Airise's industry benchmark dataset, available exclusively to Enterprise subscribers. It provides aggregated, anonymized ARI scores across your industry, so you can benchmark against the category average and see where top performers are winning.
Yes. Airise is built to meet GDPR, UK GDPR, and CCPA requirements. Customer data is stored on industry-leading cloud infrastructure with encryption at rest and in transit. Data location, sub-processors, and full data flow details are documented in our Privacy Policy.
We collect the prompts you submit, the AI model responses we generate on your behalf, and standard account data (name, email, billing). We do not collect personal data about your end users unless you explicitly add it. Retention windows and full categories are listed in our Privacy Policy.
Yes. A signed DPA is available on Agency and Enterprise plans on request. Reach out at hello@airise.digital with your legal team's requirements and we'll send our standard DPA template within two business days.
Yes, anytime. You can delete individual scans, brand records, or your entire account from your dashboard settings. We honor GDPR Right to Erasure requests within 30 days, and account deletion permanently removes your data from our active systems.
Encryption at rest and in transit, role-based access controls, regular security reviews, and a least-privilege principle for internal access. SOC 2 Type II is on our 2026 roadmap. Full security posture is detailed in our Privacy Policy.
No, never. We do not sell, rent, or share customer data with advertisers or data brokers. The only third parties involved are sub-processors required to deliver the service — the LLM APIs we query on your behalf, our cloud hosting provider, and our payment processor. The full list is published in our Privacy Policy.