Proprietary Measurement

Brand Echo Is the Scorecard for Your Brand Visibility Inside AI

Brand Echo Score is a composite 0-100 score built from four observed outcomes across ChatGPT, Gemini, Claude, and Perplexity: how often AI engines name your brand on relevant buyer queries, how many of the four engines name you, how early you are named, and your share of citations against named competitors. Alongside the score, the platform tracks sentiment and citation accuracy, plus co-occurrence density and third-party authority signals, the levers that move it. Traditional dashboards show Google rankings. They cannot show whether AI engines are confident enough in your brand to recommend it when a buyer describes their real situation. Brand Echo can, because it is built for that surface.

68/100
Average
Tracking started
Illustrative example

Citation Rate

How often AI engines name your brand when buyers ask relevant questions

Engine Coverage

How many of the four engines name you at all, because relying on one is fragile

Average Position

How early you are named in AI answers, relative to the competitors named alongside you

Share of Voice

Your share of AI citations against the named competitors in your category

Five Visibility Channels That Capture 95% of AI Research Behaviour

Brand Visibility is only valuable where your buyers actually decide. We measure across the five channels your market is genuinely using, backed by market data and our own prompt testing.

One score for your Brand Visibility across the four major AI engines

ChatGPT

900M weekly users. The most-used AI assistant, and where most buyers start their research.

Dominant Leader OpenAI, 2026

Gemini

950M monthly users. Wired into Search, Android, and Workspace, and powers Google's AI Overviews.

Google Ecosystem Alphabet Q2 2026

Claude

Favoured by technical evaluators and developers, and citation-conservative: it recommends brands it can corroborate across sources.

Technical Evaluators Anthropic 2026

Perplexity

Answer engine targeting 1B+ weekly queries in 2026. Research-first and citation-heavy. Every answer links its sources.

High-Value Researchers Perplexity, 2026

Why not Copilot, DeepSeek, or Grok? Copilot runs on the same OpenAI models behind ChatGPT and grounds its answers in Bing, so visibility work that earns ChatGPT recommendations largely carries across. DeepSeek's user base is heavily concentrated in Asia. Grok remains consumer-focused with limited B2B adoption. We focus where your buyers actually research.

Similarweb 2025
Strategic Framework

The 5 Strategies: How We Decide Where to Build Your Brand Visibility First

We do not start with keywords. We start with the decision contexts your buyers are actually describing to AI, then use five strategic lenses to decide which Brand Visibility work will move your Brand Echo fastest. Strategy selection depends on where your Citation Gap sits, what your competitors own, and the commercial shape of your pipeline. Not every brand needs the same approach.

Volume Play

High reach

The decision contexts your category's buyers describe most often. These are the busiest buyer situations where you should be recommended and currently are not, so a single win touches the largest share of real research.

Quick Wins

Fast momentum

Decision contexts that are specific, commercially relevant, and currently unclaimed by any competitor. Our reconnaissance surfaces these gaps first, so early visibility signals compound into an ownable position before the category catches up.

Competitive Gap

Displacement

The prompts and situations where specific rivals are being recommended and you are not. The platform tracks your co-occurrence density across the topics that define your category and maps which of them each named competitor owns, then prescribes the authority, corroboration, and extraction work needed to displace them.

Commercial Intent

High conversion

The decision moments where buyers are actively choosing a shortlist. Brand Visibility here has the shortest line to pipeline, so we prioritize it when the goal is measurable revenue impact inside the current quarter.

Balanced Portfolio

Long-term

Deliberate allocation across the other four strategies. Sustainable Brand Echo growth for organizations that need to build Brand Visibility across the full buying journey, not just the transaction moment.

Why AI Advisory

Measurement, Reconnaissance, Prescription, and Proof, in One Platform

Most approaches monitor one or two engines and hand you a dashboard. That measures the problem without solving it. AI Advisory runs competitor reconnaissance across all five channels, reveals the decision-context gaps, prescribes the specific visibility signals and the Extraction Architecture that make AI engines confident enough to recommend you, then re-measures to prove what moved. Brand Visibility, engineered, not hoped for.

5
AI Visibility Channels Covered
4B+
Monthly AI Touchpoints Covered
Combined platform reach
2.3×
More Clicks When Cited in AI Overviews
Seer Interactive, 2026
95%
AI Research Behaviour Covered

The Difference Is Proof

Capability Many Approaches AI Advisory
Tracks all 5 AI visibility channels, including Google AI Overviews ✕ ✓
Competitor reconnaissance by named rival, not just category averages ✕ ✓
Co-occurrence density tracking across prompts, engines, and time ✕ ✓
Brand authority tracking across third-party sources, not just owned content ✕ ✓
Prescription engine tied to observed gaps, not generic playbooks ✕ ✓
Every fix re-measured against the exact AI answers it was meant to move ✕ ✓
Brand Visibility programme with SEO inside it, not SEO with AI bolted on ✕ ✓
Engagement Model

Five Phases: Audit, Strategy, Authority Build, Verification, and Tracking

Every AI Advisory account follows a structured path from measurement to prescription to proof, and then stays on to track, re-prescribe, and defend your position as the research layer shifts.

Citation Gap Audit

We measure Brand Echo across ChatGPT, Gemini, Claude, and Perplexity, then run competitor reconnaissance inside the platform to show exactly which rivals are being recommended, for which decision contexts, and with what authority signals supporting them.

1 to 2 weeks

Strategy Selection

Map the decision contexts that matter to your pipeline and choose the mix of The 5 Strategies that fits your current position, budget, and timeline. The platform turns the audit into a ranked list of prescriptions with priority levels, not a generic content calendar. Founding clients do this in a working session with us.

In the platform, or a working session for founding clients

Authority Build and Extraction Architecture

Your team or your agency executes the prescriptions on two fronts at once. Off your site, that means the third-party authority signals AI engines actually weight, including earned mentions, expert commentary placements, review signals, and co-occurrence with the right category peers. On your site, it means restructuring content so AI engines can parse, verify, and confidently recommend what you already have. Every prescription says what to build, in what order, and why.

4 to 8 weeks to first visible lift, then ongoing

Multi-Engine Verification

Each engine reads the web differently. As your changes ship, the platform re-runs the same buyer questions across the four AI engines to confirm your brand is surfacing consistently, not just in one. Anything that did not land gets re-prescribed.

Ongoing

Brand Echo Tracking and Defence

Brand Visibility is not set-and-forget. The platform tracks Brand Echo, co-occurrence density, and competitor movement continuously, re-prescribes when a rival shifts tactics or an engine updates its behaviour, and shows you exactly which prompts you own, which you are fighting over, and which you are losing. This is the defence layer.

Continuous
Start With a Citation Gap Audit