What does
AI think
about you?
There is a measurable distance between what your brand IS and what AI believes it is. That distance costs you money, authority, and market position every day. We don't measure if you appear. We measure if AI understands you correctly.
SIO: Semantic Intelligence Optimization.
This is what you get.
Data no one else measures.
We measure the distance between your narrative and the global algorithmic interpretation and transform it into a measurable competitive advantage.
Financial ImpactRevenue Impact Analysis
How much money you're losing each month from semantic misalignment in AI.
Strategic PlanStrategic Action Plan
Prioritized corrections with quantified impact, step by step.
Executive ReportExecutive Summary
36-month growth projection and competitive positioning.
Geographic IntelGeo-Semantic Intelligence
Your brand's perception across 40+ countries. Where you fail, where you dominate.
This is just a sample — 4/9 deliverables with actionable data.
In certain markets and industries, this variable can impact between 40% and 65% of the acquisition cost in the country where your company operates.
Right now, an AI is answering
a question about your market.
Is your brand in the answer? More importantly: is the answer TRUE? When AI describes you, does it get it right — or is it quietly destroying your positioning with every hallucination? SEO measured rankings. AEO measures visibility. SIO measures truth.
The ADVANTAGE no one else can give you TODAY.
Not a surface scan. We deploy 21 proprietary engines + 12 deliverables + 5 Strategy, Growth, SEO, B2B, and Marketing agents that cross-examine your brand until they reach consensus on what AI actually believes about you.
Your brand is
different everywhere
Consistent in New York, invisible in Tokyo, wrong in Berlin. Our engine maps semantic perception across 40+ countries and every major economic zone in real-time.
We don't read
the present.
We predict decay.
The world's first Semantic Entropy Prediction Engine. We calculate how your narrative will degrade over time — before it happens.
Choose your depth
Launch pricing — until March 31, 2026 up to 60% off
Instant scan. Truth Score + AI verification prompts. No card required.
- — Truth Score™ headline
- — Brand integrity analysis
- — Google & TRACE validation
- — AI verification prompts
1-Hour Audit. Full integrity analysis. Competitors revealed.
- Full integrity analysis
- Competitor names revealed
- Investment readiness score
- SIO Deployment kit + Certificate
24-Hour Deep Audit. 6-country expansion. Revenue impact in €.
- Revenue impact analysis (€)
- Correction roadmap with priorities
- 6-country market expansion
- Perception map + Competitive Landscape
Sovereign Audit. 20 countries. Growth prediction. Board-ready.
- 20-country sovereignty
- Monte Carlo growth forecast
- 24H longitudinal + forensic report
- Full forensic package + advisory
Frequently Asked Questions
Why does this give me an unfair advantage?
We've identified and mapped semantic fields that no one else is measuring — the invisible space where AI models form opinions about your brand. We've developed proprietary formulas to quantify this. While the market is still debating whether AI perception matters, we're already measuring it, predicting it, and correcting it. Clients who act now are positioning themselves months ahead of every competitor in their vertical.
What makes SPE Trace different from anything else?
We built the world's first Semantic Entropy Prediction Engine. Most tools read the present. We calculate how your narrative will decay across markets and geographies — before it happens. This is not SEO. This is not brand monitoring. This is algorithmic perception science.
Why isn't regular SEO enough?
SEO targets Google's search results. But AI models now form their own opinions about your brand — independently. If you don't control how AI describes you, it invents its own narrative. And you'll never know until it costs you customers.
What do I get?
A complete Brand Intelligence Audit: your competitive positioning map, a multi-agent consensus analysis, market-by-market perception gaps, and a strategic action plan to correct your narrative across all major AI models.
How long does the audit take?
The full audit propagates across our 40+ country analysis grid over 24 hours. This ensures statistical significance — not a snapshot, but a real consensus.
Who is this for?
CMOs, brand directors, and growth teams at companies that depend on digital perception. If AI-driven search, chatbots, or LLMs influence how your customers discover you — this is for you.
Do you store my brand's data?
Stateless for client data — no company-specific results are retained after your report is generated. We store only aggregated, anonymized calibration metrics to improve engine accuracy across all scans. Your brand narrative, source content, and AI responses are never stored.
What happens after the audit?
Your dashboard stays accessible for 40 days, so you can review and act on your results at your own pace. You receive a full strategic action plan with prioritized corrections. Many clients see measurable improvement in algorithmic positioning within weeks of implementing the recommendations.
What is SIO? How is it different from SEO and AEO?
SIO stands for Semantic Intelligence Optimization — a new discipline created by SPE Trace. The key difference lies in WHAT is measured. SEO measures your rank in search results (position). AEO measures whether AI mentions you (visibility). SIO measures the DISTANCE between what your brand truly is and what AI believes it is — the semantic gap. This gap has real components: factual accuracy (does AI get your founding date right?), narrative coherence (does AI tell a consistent story about you?), authority resonance (does AI perceive you as a leader?), and adversarial resilience (does your story hold under pressure?). SIO doesn't optimize for appearances. It optimizes for truth.
How is SIO measured?
SIO introduces a completely new measurement framework based on semantic distance — the quantifiable gap between truth and AI perception. The core metrics are: Semantic Accuracy (SA) — how factually correct is AI's knowledge about you? This is decomposed into sub-scores: Authority Resonance (AR) — does AI recognize your market position? Factual Verification (FV) — are dates, claims, and figures correct? Semantic Coherence Distance (SCD) — how fragmented is AI's understanding across different queries? Contextual Recall Index (SRI) — does AI recall you in the right contexts? Cross-Model Consensus Score (CSS) — do ChatGPT and Gemini agree about you, or does each tell a different story? And finally: Truth Score — the composite distance between reality and AI perception, expressed as a single number. A Truth Score of 100 means AI perfectly understands you. Most brands score between 30-60 — meaning AI is getting your story wrong more often than right.
What makes SIO content different from SEO content?
SEO content is built for keywords and crawlers. SIO content is built for semantic truth. The difference: SIO content ensures every factual claim on your website is verifiable, structured, and unambiguous — because AI models absorb these claims and repeat them. If your website says 'industry leader' but AI can't find evidence to support it, the semantic distance grows. SIO content includes: machine-parseable facts (founding dates, team size, certifications), consistent narrative anchors (the same core story told across every page), structured authority signals (case studies, metrics, third-party validation), and semantic disambiguation (making sure AI knows exactly what category you belong to, not a similar-sounding competitor). The goal isn't to rank — it's to reduce the distance between what you ARE and what AI BELIEVES.
How is SIO validated?
SIO validation is empirical, not theoretical. We fire hundreds of real probe queries at live AI models (ChatGPT, Gemini) and measure the DISTANCE between what they say and what's true. Each probe captures: brand mention accuracy (did AI get the facts right?), narrative drift (did the story change between queries?), competitive displacement (did AI confuse you with a competitor?), and adversarial resilience (did your narrative break under pressure?). The 24-hour longitudinal study captures temporal stability — because AI perception isn't static, it fluctuates. The output is a measurable semantic distance score with a corrective roadmap: exactly which claims need anchoring, which facts need reinforcing, and the projected revenue impact of closing the gap.
Why should I care about SIO now?
Because AI models are becoming the primary interface for business discovery. When a procurement team asks ChatGPT 'who are the best providers in X?', your brand's semantic position determines whether you're recommended, ignored, or worse — described with hallucinated information. Companies that invest in SIO now are building algorithmic moats: the AI models that train on corrected narratives will carry that positioning forward for years. The first movers in SIO will own their category in the AI era, just as the first movers in SEO dominated Google for a decade.
Is SPE Trace patent protected?
Yes. SPE Trace is protected under US Provisional Patent Application No. 63/930,786. The core methodology — quantifying semantic distance between brand reality and AI perception using multi-model consensus — is proprietary and cannot be replicated. This is not an optimization plugin; it is a measurement framework with no equivalent in the market.
Does SPE Trace analyze in multiple languages?
Yes. Our Geo-Probing Engine queries AI models in 6+ languages (English, Spanish, French, German, Portuguese, Japanese) to measure how your brand is perceived across different linguistic markets. Each language zone returns independent mention rates and viability scores. This reveals opportunities where your brand has zero AI presence — unoccupied semantic territory you can claim before competitors.
SIO™
Semantic Intelligence Optimization
“From visibility to structural interpretation.”
This whitepaper introduces SIO — a measurement discipline that quantifies the semantic distance between brand reality and AI perception, models narrative entropy, and connects algorithmic interpretation with economic impact.