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Healthcare & HospitalsPharma & Life SciencesEdTech & EducationMedia & EntertainmentWorking pieces on the things we argue about internally: what a sentiment number is worth, how a regional story becomes a national one, and what happens to a brand when buyers start asking a model instead of a search engine. Written by the team building the platform, not by a content agency.
What brands can and cannot control about the answers assistants give, and the work that actually changes them. The newest part of reputation management, and the least written about.
Defines the discipline, separates it from SEO and traditional reputation work, and sets out what a brand can and cannot control about the answers models give.
A method anyone can run in an afternoon, the prompts that matter, and how to record answers so you can see drift over time.
What actually makes a source quotable to a model, why citation is the new click, and the structural choices that make a page easy to lift from.
The source chain behind a recommendation, how to trace it, and which corrections actually move an answer.
What Overviews pull from, why earned coverage now feeds answers as well as reputation, and what to measure instead of position one.
Triage by severity, find the feeding sources, publish the correction where models read, and verify the change rather than assuming it.
The core questions of the category, argued rather than defined. What monitoring should do, what the numbers actually mean, and how to tell a useful measurement from a flattering one.
What monitoring covers, what separates a feed from intelligence, why platform access has narrowed sharply since 2023, and the blind spots no tool closes.
The split is largely a vendor artefact, and the teams that suffer most from it are the ones running both tools.
The formula, the traps, and why a share-of-voice number built from three vendors' methodologies means nothing.
An evaluation framework rather than a ranked list: how to test source depth, audit a sentiment claim, and find the gaps before you sign instead of during a crisis.
Outputs, outtakes, outcomes and impact: why most reports never leave the first rung, and how to climb without a research budget.
What AMEC changed about AVE in June 2025, why fifteen years of calling it invalid did not work, and the four numbers that replace it.
The hours that decide how a story gets written. Detection, the first response, and the judgement calls that are far easier to make before you need them.
Baselines, velocity, severity laddering, and why volume thresholds produce both false alarms and missed crises.
A minute-by-minute playbook for the hour that decides the story, including what not to publish and why silence is sometimes the move.
The five-part structure, four worked examples by scenario, and the phrases that reliably make a first response worse.
Why a generic threshold is wrong for every brand, how to build a baseline, and how severity should escalate on evidence.
Author patterns, timing signatures and cluster shape, plus why responding to a campaign as though it were an audience is the expensive mistake.
Most stories do not break in English first. What that means for coverage, for sentiment scoring, and for how long a local report takes to reach a head office.
Why the first report is almost never in English, which languages matter by category and region, and what gets lost between a local headline and a head-office dashboard.
What is lost when you translate before you score, shown across languages rather than argued in the abstract. Irony, honorifics, negation and idiom are where it fails.
The escalation path and its typical clock, from local outlet to aggregator to national desk, and the intervention points a comms team actually has along the way.
Why an English statement translated later reads as an afterthought in every market that receives it, and how to build a response process that starts in the right language.
Which languages matter by category, where regional press breaks first, and what most global tools miss entirely.
Reporting upward. What a board actually asks, which numbers survive scrutiny, and how to present uncertainty without losing the room.
The four questions every board asks, the numbers that survive scrutiny, and how to present uncertainty without losing credibility.
Why the two move on different clocks, when they converge, and how to watch a person without it becoming surveillance.
What you cannot say, what is still being said, and why monitoring is the only instrument available in that window.
Everything written here is easier to judge on your own brand than on ours.
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