SPE TRACE

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.

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.

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.

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.

The full audit propagates across our 40+ country analysis grid over 24 hours. This ensures statistical significance — not a snapshot, but a real consensus.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Brand Rank is SPE Trace's continuous monitoring layer. While the audit gives you a high-resolution photograph of your brand, Brand Rank is the surveillance camera that never turns off. It works as a permanent radar that automatically queries the main AI models (ChatGPT, Gemini, Perplexity, Copilot) about your industry, recording how they mention you, what position they place you in, and how your visibility share fluctuates every day. The system incorporates adaptive learning: each probing cycle refines its understanding of your position within the ecosystem. The core capabilities are: Presence Monitor — automated daily measurement of how each AI model mentions, recalls, and positions you against competitors. Drift Detection — early alerts when your brand narrative shifts or deteriorates in any model, before it translates into customer loss. Competitive Ranking — an updated share-of-voice table showing what real percentage of your industry's space your brand occupies vs each competitor. Direct Connection — your company integrates via MCP (Model Context Protocol) or REST APIs, allowing operational intelligence to flow in real time to your marketing, management, and strategy teams, with no intermediaries or external dashboards. The underlying reason is simple: AI's perception of your brand changes every day. If you're not monitoring it, you're flying blind in the channel that will most influence purchasing decisions for years to come.

The fundamental difference lies in WHAT is measured and to WHAT END. Most platforms on the market count mentions or measure whether AI 'names you'. We measure something completely different: the semantic distance between what your brand truly is and what AI believes it is — and we tell you exactly how to correct it. SPE Trace is backed by proprietary market studies, published research on Semantic Intelligence Optimization (SIO), and a multi-model consensus methodology with no equivalent in the industry. The concrete differences: Other platforms measure visibility (do they name me?). SPE Trace measures semantic distance (is what they say about me true?). Other platforms generate descriptive reports. SPE Trace proposes concrete operational solutions with impact quantified in euros — each recommendation includes impact scoring, estimated effort, and real evidence extracted from probes. Other platforms do point-in-time analyses. SPE Trace runs uninterrupted monitoring with built-in learning that becomes more precise with every probing cycle: real-time competitive ranking, narrative drift alerts, share-of-voice analysis broken down by AI model, and auto-prioritized recommendations ranked by urgency. Other platforms operate in isolation. SPE Trace connects directly to your infrastructure via MCP or APIs, turning intelligence into action within your own workflows. The result: it's not a mention tracker — it's an operational intelligence system that diagnoses, proposes, measures, and learns.

They are two complementary products designed for different moments in your brand's life. The audit (Scan) is a deep landing, a forensic diagnosis. It maps your current situation with surgical precision: it analyzes how each AI model perceives you, identifies the semantic gaps between your reality and algorithmic perception, and generates an exhaustive report with strategic recommendations prioritized by economic impact. It's the starting point — it tells you exactly where you stand, what you're missing, and what to fix first. It includes: multidimensional Truth Score, 6-component brand integrity analysis, competitive perception map, revenue impact analysis, Consensus NLP Verdict, and SIO deployment kit. Brand Rank, on the other hand, is day-to-day operations. Once you know where you stand, you need a tool that permanently watches that corrections are working, that competitors aren't overtaking you, and that AI's narrative about your brand stays aligned with reality. Brand Rank provides: automated recurring probing of all AI models about your industry, updated competitive ranking table with real share-of-voice by model, automatic narrative drift detection and alerts when your position changes, operational recommendations generated by the heuristic engine (FAQ gaps, grounding gaps, weaknesses by model), longitudinal history showing your evolution over time, and direct connection via MCP/APIs so intelligence flows to your teams without friction. In short: the audit tells you 'here's where you are and this is what you need'. Brand Rank tells you 'this is happening right now and this is what you should do today'. Together they form a complete brand intelligence system for the AI era.

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.