OUR SERVICES
Two ways of listening
Quick, technical sound checks for AI and open‑knowledge systems;
and longer deep listening diagnostics for organizational culture, tone and inclusion.
QUICK SOUND CHECKS
... for
AI audibility
Concise, evidence-based studies designed to clarify how your organisation is being heard, indexed, and represented by AI — before deeper GEO strategy work begins. Each produces a factual, verifiable output within a week.
Each Sound Check contributes to your organisation’s Generative Engine Optimization (GEO) profile, applying our proprietary Generative Engine Listening™ (GEL) framework to assess how accurately your brand voice carries across search, open-knowledge, and generative systems.
GEO strategy bundle: AI audibility + schema & entity + open‑knowledge + GEO strategy — $2 550 (14 days, debrief included).
AI Audibility Index with Custom Prompts
Identifies a custom prompt-set to test AI perception. Analyses how your organisation appears across ChatGPT, Gemini, Perplexity, and Copilot.
output: AI audibility index (0–100), custom prompt-set (10–20 queries), interpretive analysis.
duration: 5 days
fee: $850
Open Knowledge Accuracy
Wikipedia / Wikidata review focused on notability assessment, citation quality, and interoperability with systems that feed AI.
output: notability & reliable sources matrix + risk analysis, one wikidata entity verification or creation, 3‑page summary with next steps.
duration: 2-3 days fee: $300
Knowledge Graph
Optimization
Audits how your organisation is defined and connected within Google’s Knowledge Graph and related open data sources. Analyses entity relationships and external citations to strengthen factual coherence and authority. Highlights missing or conflicting links that shape how AI and search interpret your brand.
output: entity-relationship map, authority gap list, and 5-page roadmap for factual and reputational alignment
duration:
5 days
fee: $1,250
Schema + Entity Validation
Validation and correction of schema.org metadata and entity linking to confirm how machines interpret you organisation.
output: Validated json‑ld (up to 5 pages), Wikidata cross‑check, alignment memo.
duration: 2–3 days fee:
$850
COI Wikipedia Representation
Where notability is confirmed, preparation of a policy-compliant referenced article draft and facilitation for independent review (afc).
output: complete policy-compliant Wikipedia draft with citations, submission documentation & disclosure drafting.
duration: 7 days + afc review fee: $950
AI Crawlibility Review
Technical and interpretive audit of how easily your site can be accessed by AI crawlers such as GPTBot, CCBot, and Google-Extended.
Reviews robots.txt, sitemaps, headers, and schema coverage to identify barriers to generative indexing.
output: crawlability report and 5-page accessibility roadmap with corrective actions
duration: 5 days
fee: $950
DEEP LISTENING
... for
workplace atmospherics
Longer interpretive studies of culture, tone and inclusion inside in-office and remote teams and institutions. Methods include interview‑based listening, business ethnography, meeting analyses and document review. Findings translate into a phased roadmap. Contact to discuss bespoke solutions for your digital transformation and change management projects.
Online Meeting Sonic Analysis
Examination of two hours of recorded meetings for participation, tone and linguistic and sonic bias; practical recommendations for facilitation and policy.
output: 6-10 page report
Workplace Climate Map
Ethnographic and affective analysis of organisational culture and communicative tone. Identifies friction, silence, and informal dynamics shaping workplace experience.
output: atmosphere map, qualitative synthesis, leadership tone report, recommendations for inclusion and coherence.
Change management diagnostics
Baseline evaluation of tone, trust, and readiness for change, aligned with the ACMP standard. Combines cultural listening with formal change-readiness analysis.
output: diagnostic report, stakeholder and readiness maps, risk register, and recommendations for phase two.
Human–AI relations
Analyses how teams engage with AI tools and automated systems — tone, trust, and ethics in hybrid work environments. Reveals patterns of over-reliance, resistance, and the atmospheres that shape collaboration between humans and machines.
output: diagnostic on human–AI tone and practice, ethical interaction map, and recommendations for alignment and digital literacy.
Not sure which path fits? We often design hybrid engagements combining human and digital audits.
