--- title: SurgeIR Advisory Services description: Generative AI optimization for issuers. image: https://www.surgeir.com/hubfs/SurgeIR%20Banner%201200-selection%20(1).png --- [![SurgeIR logo](https://www.surgeir.com/hs-fs/hubfs/White%20logo%20-%20no%20background-1.png?width=300&height=69&name=White%20logo%20-%20no%20background-1.png "SurgeIR logo")](http://surgeir.ai) Search - There are no suggestions because the search field is empty. [![logo (1)](https://www.surgeir.com/hubfs/logo%20(1).png)](https://www.surgeir.com/?hsLang=en) - [Solution](https://www.surgeir.com/solution) - [Slides](https://www.surgeir.com/slides) - [Presenters](https://www.surgeir.com/presenters) - Knowledge - [NSI Case Study](https://www.surgeir.com/nsi-case-study) - [The Quiet Period](https://www.surgeir.com/the-quiet-period) - [About](https://www.surgeir.com/about) [Talk to us →](https://www.surgeir.com/advisory-services#contact) - [Solution](https://www.surgeir.com/solution) - [Slides](https://www.surgeir.com/slides) - [Presenters](https://www.surgeir.com/presenters) - Knowledge - [NSI Case Study](https://www.surgeir.com/nsi-case-study) - [The Quiet Period](https://www.surgeir.com/the-quiet-period) - [About](https://www.surgeir.com/about) Talk to us → Digital Share Reputation Advisory ## Every listed company has an equity story. We make sure it stays theirs. Our bespoke advisory addresses disclosure inaccuracy, machine readability, and the governance process: closing the gap between disclosure and interpretation. **We treat Digital Share Reputation as a technical system, not only a communications outcome.** ![SurgeIR | Disclosure Hygiene Audit](https://www.surgeir.com/hubfs/SurgeIR%20Banner%201200-selection%20(1).png) BE ASSURED OF NARRATIVE CONSISTENCY ## Capital markets are trusting a machine before they listen to you. The answer an investor receives is assembled from whatever version of your information is available the easiest and the quickest. The winning version is rarely the one you approved. If the figures in circulation are wrong, the market acts on wrong information. **DIVERGENCE**  —  FY 2026 3 wrong figures | 2 wrong attributions | 1 contradiction Results Deck Revenue rose 7.4%, of which 5.1% was organic, totaling €13.2 million. Transcript Revenue rose 7.4%, of which 5.1% was organic, totaling €30.2 million. Yahoo Finance Revenue rose 7.4%, of which 5.1% was organic, totaling €30.2 billion. **CONTRADICTING DATA** Slide 4 of the FY 2026 Results Deck does not match official earnings call transcription. Third party portals use syndicated a third (non-official) party transcription. Revenue data gap is now between €13.7 million and €30.7 billion. The problem and what it costs you ## The market trades on what AI says about you. Not on what you published. ### Your own records are in disagreement Most large numerical divergences found on public investor websites and pulled up by LLM's trace back to a company-published document. Usually a transcript body carrying different figures for the same metric. ### The transcript is read first The most-cited source about a listed company — ahead of the filing, the release and the analyst note. For most issuers it is written by third parties, with metric names and speaker labels nobody checked. ### Your IR site loses on mechanics Retrieval favours speed and what is cheap to read: clean HTML, one identifier, timestamped pages. PDFs push your site down the source list, whatever its authority. ### Corrections do not travel A wrong figure is indexed, cached, syndicated and absorbed faster than you can review your transcript. Correcting it — or asking a third party to correct its copy — never reaches the copies already being retreived. ![SurgeIR Supply Chain Teaser-selection](https://www.surgeir.com/hubfs/SurgeIR%20Supply%20Chain%20Teaser-selection.png) Why this is a technical problem - AI tools retrieve from the sources that are easiest to index, not the most authoritative. - A wrong EBITDA, net debt or guidance figure on a free aggregator becomes the default answer. - Correcting the source later does not reliably correct outputs already cached or learned. - Under MAR, you are answerable for your official disclosures. - The market increasingly acts on third-party AI summaries of them. Generative AI Optimisation (GAIO) for Listed Issuers STEP 01 ### Disclosure Hygiene Audit We measure how AI tools and data sources currently read your figures and equity story, and trace every discrepancy to its source. We set a Digital Share Reputation baseline. STEP 02 ### Build the capability We install the capacity for your team to own the processes, governance and disclosure formats that keep the equity story consistent. STEP 03 ### Monitor & improve We track how your equity story is interpreted after each release and correct drift before the market acts on it. We will monitor your Digital Share Reputation. WE ARE AN AI-NATIVE IR PLATFORM ## A generic AI-video tool does not know what a closed period is. We do. ### Purpose-built Designed by IR and financial communications professionals who have sat on the issuer side of a results week. The workflow, the vocabulary and the approval path are the ones you already use. ### MAR compliant Video is built exclusively from issuer-approved disclosure. Every scene traces to a source, every version is logged, and the whole record is exportable — for your file, your auditor or your regulator. ### Controlled No crew, no studio, no editing house holding unpublished results. Insider risk falls because the number of people who see the figures before release does not go up. Aligned to your reporting cadence from the first quarter. ### Flexible and simple Skip the cameras, the studio and the retakes. Script, then create. When a figure changes the night before, you fix the line and re-render — minutes, rather than a reshoot and a second round of post-production. ## Bring us your next quarter. Tell us where you are listed and what your reporting calendar looks like. We will build a short results presentation based on what you have already published, so you can see exactly what your shareholders would have received. — Answers to your questions, from people who have run IR — A no-obligation conversation, not a sales sequence — A demonstration using your own published material SurgeIR B.V. · Vlierweg 12, 1032 LG Amsterdam We use your details only to reply. No list, no sequence. See our privacy statement. ![logo (2)](https://www.surgeir.com/hubfs/logo%20(2).png) - [Solution](https://www.surgeir.com/solution) - [Slides](https://www.surgeir.com/slides) - [Presenters](https://www.surgeir.com/presenters) - knowledge - [NSI Case Study](https://www.surgeir.com/nsi-case-study) - [The Quiet Period](https://www.surgeir.com/the-quiet-period) - [About](https://www.surgeir.com/about) - [Legal](https://www.surgeir.com/legal) - [Linkedin](https://www.linkedin.com/company/surgeir/) - [YouTube](https://www.youtube.com/@SurgeIR) SurgeIR B.V. · KvK 86855224 · © 2026 [![White logo - no background-1](https://www.surgeir.com/hs-fs/hubfs/White%20logo%20-%20no%20background-1.png?width=297&height=68&name=White%20logo%20-%20no%20background-1.png "White logo - no background-1")](http://surgeir.ai) [Follow us on LinkedIn](https://www.linkedin.com/company/surgeir/) [Follow us on Facebook](https://www.youtube.com/@SurgeIR) AI-driven IR video creation platform: compliant, scalable, and investor-proven SurgeIR B.V. 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