AI Visibility Funnel Risk Estimator
Estimate how much of your organic research funnel could be exposed as buyers shift from search results to AI answers.
Organic traffic is no longer the whole picture. Buyers can now research problems, compare suppliers and build shortlists inside AI tools before they ever visit a website. This calculator gives you a directional view of potential funnel exposure. It is not a revenue forecast. It is a risk signal.
Your inputs
Average monthly organic sessions or users.
Use your current organic visitor-to-lead or visitor-to-enquiry rate.
Use average contract value, average project value or annual deal value.
Estimate the proportion of early research and comparison activity that may move into AI-assisted discovery.
Use your Odyssiant score if known, or estimate how often AI engines currently mention and recommend your product.
Count the products, services or propositions where AI visibility matters commercially.
Your current inputs suggest a moderate exposure risk. There may be enough buyer activity shifting into AI discovery to justify a structured visibility audit.
Estimated funnel exposure
Approx. 1,250 monthly organic research visits could be affected
This is the estimated portion of your current organic research audience that may increasingly use AI tools before visiting supplier websites.
Potential missed shortlist opportunities
Approx. 17.5 potential shortlist opportunities per month
This estimates how many organic-stage opportunities could be affected if AI answers do not surface, explain or recommend your product clearly.
Directional pipeline exposure
£210,000 per month
This is not a revenue loss forecast. It is a commercial risk indicator based on your current conversion assumptions, deal value and AI visibility gap.
Recommended audit cadence
Quarterly audit cadence
You should run a quarterly AI visibility audit to track changes in answer quality, competitor presence and evidence gaps.
This estimator is directional. It does not predict revenue loss, guarantee missed opportunities or model every buyer journey. It is designed to help marketing teams understand where AI visibility may create commercial risk.
Why AI visibility changes funnel measurement
For years, marketers measured organic visibility by rankings, traffic and conversions. AI search changes that because the buyer may now get the comparison, recommendation and evidence summary before visiting any website. That means the risk is not only fewer clicks. The larger risk is being absent, misrepresented or weakly evidenced when AI tools form the buyer's shortlist. Tracking that shift is exactly what the AI Visibility Benchmark is built to do.
What this calculator does — and does not do
What it estimates
- How much of your organic research audience may be exposed to AI-assisted discovery
- How many potential shortlist opportunities may be affected by weak AI visibility
- Whether your audit cadence should be monthly, quarterly or baseline-led
- Where to focus further investigation
What it does not claim
- It does not predict guaranteed lost revenue
- It does not assume every AI interaction replaces a website visit
- It does not treat traffic loss as the only risk
- It does not replace a product-level AI visibility audit
Why product-level visibility matters
Brand visibility is not enough. A company may be well known, but still fail to appear when buyers ask AI tools about specific products, services, use cases or supplier comparisons. Odyssiant focuses on product-level AI visibility because that is where shortlists are formed. The work that moves it — clearer content, a stronger content architecture map and better evidence — is the same work the Odyssiant self-audit case study tracks over time.
Frequently asked questions
Is this an ROI calculator?
No. It is a directional risk estimator. It does not guarantee revenue loss or forecast exact ROI. It helps marketing teams understand where AI-assisted research may affect visibility, consideration and shortlisting.
What is an AI visibility score?
An AI visibility score measures how clearly and consistently AI engines surface, describe and support your product or brand in response to buyer prompts. Odyssiant scores visibility across buyer journey stages, answer quality, competitor presence and evidence strength.
Why does organic traffic matter?
Organic traffic gives a useful baseline for existing research demand. The estimator uses it to model the portion of that demand that may increasingly be influenced by AI answers before buyers reach your website.
Why include average deal value?
Average deal value helps translate visibility exposure into a commercial risk signal. It should not be read as guaranteed lost revenue.
How often should we audit AI visibility?
For high-value products, competitive categories or fast-moving markets, monthly audits may be useful. For lower-risk categories, a baseline audit followed by quarterly or six-month reviews may be enough.