Data & Research

These figures are drawn from Persipica's published audit programme, run across GPT-5.4 Mini and Sonnet 4.6 using a fixed query methodology.

Audit Findings

What we find when we audit B2B companies

These figures are drawn from Persipica's published audit programme, run across GPT-5.4 Mini and Sonnet 4.6 using a fixed query methodology.

0%
Discovery citation rate at audit start, across every company we have audited
3-5x
Improvement in discovery citation rates after a full GEO programme
8-14 wk
Typical time from audit to measurable citation improvement
7
Companies in the April 2026 benchmark cohort, all showing the same discovery gap pattern
100%
Brand recall rate

Every company we audited scored 100% when AI was asked about them by name, but 0% when a buyer asked for a category recommendation without naming anyone. Strong brand recall coexists with zero discovery presence. That is the pipeline gap: invisible at the exact stage where shortlists are formed.

Visibility split

Brand recall is not the same as discovery.

Named brand recall 100%
Unbranded discovery citation at audit start 0%

The buying-risk pattern is clear: companies are remembered when named and excluded when buyers describe the problem instead.

Programme effect

The upside comes from lifting discovery, not recall.

Typical uplift after a full GEO programme 3-5x
Time to measurable improvement 8-14 wk

The fastest wins tend to come from content clarity, entity definition, and third-party corroboration moving together.

Audits run April 2026 across GPT-5.4 Mini and Sonnet 4.6. Each company tested on 26 to 30 prompts spanning the full buyer journey. Read the full methodology.

Market Data

AI search adoption and commercial performance

Third-party data on how buyers are using AI tools and what that means for conversion and pipeline.

5x
Conversion Advantage

The 14.2% vs 2.8% gap means each AI-referred visitor is worth approximately five Google organic visitors in terms of pipeline contribution.

Conversion comparison

AI-referred traffic converts on a different curve.

AI-referred visits 14.2%
Google organic visits 2.8%

Even modest AI visibility gains can matter disproportionately because the buyer arriving from AI is often further through evaluation.

Sources: Opollo 2026 AI Search Benchmark Report. Loganix 2026 AI Buying Behavior Analysis. Forrester 2025 Buyers Journey Survey. McKinsey State of AI 2025.

The Discovery Gap

Why most companies score 0% on AI discovery queries

Most companies score 100% when AI is asked about them by name, but 0% when buyers ask for a recommendation without naming anyone. This is not a size or authority problem: it is a structural problem. Companies of all sizes show the same pattern. Every company Persipica has audited shows strong brand recall and zero discovery presence. That is pipeline you will never know you lost.

The commercial consequence is significant: if 61% of the buying journey completes before first contact, and AI is now where shortlists form, discovery invisibility means systematic exclusion from consideration before any salesperson is involved.

See Client Results

Dig Deeper

Research, methodology, and client results