Manifesto · Why we built this

We've been measuring
the wrong thing.

It was already difficult to maintain brand coherence before AI and Big Data, but two quiet forces have recently been eroding brand identity at scale: AI systems averaging it out of existence, and audience optimisation dissolving it from within. Most tools make both worse. IDpulse was built to measure what they miss.

Two forces.
Both pulling brands away from themselves.

Most brand intelligence solutions focus on optimisation: get mentioned more, resonate with audiences better. What they miss is structural. In five years, the brands that matter will be the ones that resisted two quiet forms of identity collapse — and had the instruments to do it.

Risk 01 The LLM dilution problem

AI systems are averaging your identity out of existence.

Every AI assistant now forms a characterisation of your brand before a prospect ever visits your site. That characterisation is built from statistical absorption of everything ever written about you — product reviews, press coverage, competitor comparisons, industry commentary — averaged across the open web with no editorial layer.

The more you've communicated, the more diluted that average becomes. The more others write about you, the less yours is the voice that shapes it. And every AI interaction that returns a flat, de-anchored summary is reaching your audience with more authority than your own campaigns.

The wrong battle Optimising for AI mention. Getting your name in AI outputs.
The right battle Ensuring what AI says about you still reflects who you are — not who everyone else says you are.
Risk 02 The audience-mirroring trap

Serving what audiences want is making brands indistinguishable.

Precision audience tools, real-time personalisation, trend-responsive content strategies — all of them ask the same question: what do they want to hear? The logic is commercially rational. In aggregate, it produces something dangerous: brands that are mirrors of their audiences rather than makers of their own narrative.

As every organisation gains access to the same audience data and optimises toward the same engagement signals, communications converge. The differentiation that was supposed to follow from knowing your audience better collapses. When everything is optimised for resonance, nothing is anchored — and brand identity becomes optional, then irrelevant.

What this looks like A campaign that performs well. An identity that slowly disappears. Communications that are effective as noise — and indistinguishable from a competitor's within 18 months.
The tools that will matter in five years are not the ones that help brands speak louder. They are the ones that help brands stay coherent while everything around them pulls toward homogeneity.

Both risks share a single root cause: there is no instrument that tells a brand whether it is still itself. Without that anchor, every short-term optimisation — for AI reach, for audience resonance, for engagement metrics — is a decision made without knowing the structural cost.

Meet the team behind IDpulse

Everything gets measured.
Except the thing that matters.

Brand intelligence today is built around signals that are easy to collect: mentions, reach, sentiment, share of voice. These metrics have their uses. But they measure noise — how loud you are, not what you stand for.

None of them answer the structural question: is your brand still being itself? Is what you publish coherent with the identity you claim? Is what the market hears coherent with what you say? The industry spent two decades optimising visibility and forgot to ask whether what was visible was still accurate.

The result is organisations with enormous brand monitoring capability and no ability to detect the drift that matters most — the slow, invisible misalignment between what they intend and what they become. By the time it surfaces, it has already become expensive.

What gets measured
Mentions · Reach · Sentiment score · Share of voice · Impressions · Engagement rate
What doesn't get measured
Identity coherence · Anchor tension · Expression–perception gap · Narrative drift · Competitive territory overlap · AI surface characterisation

The first list has fifteen vendors competing for your budget. The second list had no dedicated instrument before IDpulse.

Brand identity is not a soft asset. It's infrastructure.

When identity is coherent, everything built on top compounds. Campaigns land because they're consistent with what people have come to expect from and like about your brand. Trust builds because the message never contradicts itself. When it drifts past boundary territory — invisibly at first, then all at once — the inverse happens, with no obvious cause in sight.

Does it mean a brand can't change? Far from it. Controlled drift or one-off campaigns moving the needle can do wonders, but too big a change may result in complete alienation of your traditional audiences. Our identity measurement framework is designed to make the difference.

"The question is no longer whether your brand is being talked about. It is whether what gets said — by anyone, anywhere, including AI systems — still reflects who you are and who your audience expects you to be."

Becoming the reference system
for brand identity governance.

In five years, IDpulse should be the instrument that organisations reach for when they need to know whether their brand identity is structurally sound — the way they reach for financial analytics when they need to know whether their business is. Not a reporting layer. A governance system.

This means a continuous, structured, comparable read of identity coherence — one that can be cited in a boardroom, benchmarked against a previous period, audited against a stated strategy, and acted on without interpretation being required in the middle.

Bloomberg built a terminal that made financial data structurally comparable across markets and time. We are building the equivalent for brand identity: a single instrument that makes coherence measurable, comparable, and accountable — continuously.

Year 1
The instrument. A structured, scoreable measurement framework applied continuously to real brand data. The first system that measures identity coherence rather than visibility.
Year 2–3
The benchmark. Cross-brand comparability. Sector indices. The ability to say, with evidence, where your brand sits relative to its category — on identity, not on noise.
Year 5
The standard. The reference framework that organisations, advisors, and investors use to evaluate brand identity health — the way EBITDA evaluates operational health.

A structured ontology,
not a generative output.

The obvious path: ask an LLM what a brand stands for, collect the output, call it intelligence. Several tools have taken that path. It has two structural problems.

LLM-based scoring
  • Probabilistic — query twice, get two different scores
  • Cannot be audited or calibrated
  • Reflects absorbed content, not a principled identity theory
  • Results cannot be compared across time or brands
IDpulse ontology
  • Deterministic — same input always yields same score
  • Fully auditable anchor-by-anchor
  • Fixed anchor model defined independently — not derived from the content being scored
  • Scores trend cleanly across periods and brands
Auditable

Every score traces back to a specific anchor, domain, and source. No black box — any output can be interrogated and defended.

Reproducible

Same content in, same score out — always. The minimum condition for any metric used to justify a strategic decision.

Trendable

A score from six months ago compares directly to today — same model, full confidence. That is what makes it governance-grade.

Reproducibility is not a limitation. It is a deliberate architectural choice — the minimum requirement for any metric presented in a boardroom.

Who we are and
how to work with us.

The About page covers the team, the backstory, and how to get involved — whether as a user, practitioner, builder, or investor.