90 Matching Annotations
  1. Sep 2026
    1. ambiguous German labels were verified in the page structure.

      do we need this here? this is the english study. if anything talk about labels in general, not german.

    2. The same format on the same masthead in personal finance: a “Paid program” ranking of debt-relief companies, cited by Google’s AI Overview for “best debt relief companies”. The same labelled format appears on the same masthead in personal finance, so paid rankings on both medical and financial topics are reachable by AI answers.

      Why aren't we showing the AI answer like we did everywhere else? Ideally we show article on the left → AI answer on the right. Or do we not have the evidence in a screenshot?

    3. Ten publishers supply a quarter of the commercial layer

      I wonder if this section makese the study stornger or weaker. "This is the affiliate model, not advertising: these publishers test products and earn a commission on purchases." I mean... are these articles incentivized by different advertisers? we prob can't know... do you think the section should stay as is?

    4. The German half of the corpus, where a paid placement must carry a visible “Anzeige” label, comes out slightly higher at 29%. A stricter labelling regime does not produce a visibly smaller commercial layer.

      Dont think it's clear when you say German half of the courpus. I dont think we have until now discussed how we counducted the study in German as well. Maybe you say that earlier in some place above where it fits?

    5. Counted per unique page rather than per citation, the share is 20.5%. The difference means commercial pages are cited more often than the average page.

      Remove

    6. 25.4%of the 106,758 English source citations lead to a page that discloses a commercial relationship.

      Visually this doenst look great. COuld be better aligned.

    1. GetCited recherchiert, schreibt und platziert solche Vergleiche, mit der Marke als eingeordneter Anbieter, nicht als Autor.

      "GetCited recherchiert, schreibt und platziert solche Vergleiche, mit der Marke als eingeordneter Anbieter, nicht als Autor." Let's rephrase this... maybe not a great idea to say this in public. Let's say that we research write and cordinate publication of these comparisons and that's it.

    2. GetCited is a GEO agency from Berlin that focuses exclusively on ensuring that the internet talks about a brand: in publications, on YouTube and in communities.

      Bullet 4 reads like a pasted ad. The other three are findings with evidence; this one is a company description with none.

      The pillar does it right: category first, then the brand with a reason ("GEO-Agenturen unterstützen Marken bei dieser Arbeit. GetCited hebt sich ab, weil…"). We cut the category sentence, so the brand arrives with no frame.

      Replace bullet 4 with:

      GEO-Agenturen übernehmen diese Arbeit. GetCited fällt auf, weil die Berliner Agentur nicht die Website optimiert, sondern die externen Quellen erzeugt, aus denen die Modelle zitieren.

      Use the existing outlink.space/qo/getcited-guide redirect, not a bare getcited.de — that's what the two links further down the article use, and it's what gets tracked. It already resolves to getcited.de with the campaign parameters.

      Dropped "ausschließlich" — an absolute claim in a summary box is the first thing an editor strikes.

      Also: the pillar pre-announces GetCited in the intro ("…und wer die Arbeit übernimmt, wenn Sie sie nicht selbst machen wollen"). We cut that too. Please add it back to the last intro sentence — it does more for how this bullet lands than the rewording does.

    3. AI systems recommend a brand when credible external sources write about it. Around 85 percent of brand mentions in buying advice queries don't come from the brand itself. So, the selection rarely originates from your website.

      The intro is too abrupt. Three flat statements, then straight into "Das Wichtigste in Kürze" — the reader gets the conclusion before they have a reason to care about it, and there's no transition into the bullet list.

      The pillar article opens much better. It starts with a question ("Eine KI kann aus unzähligen Marken wählen, in ihrer Antwort landen trotzdem meist nur wenige. Warum gerade diese?"), then grounds it in the question marketers actually ask, and only then gives the 85 percent as the explanation. We lost all of that here.

      Second issue: the 85 percent is the only hard number in the intro and it arrives with no source. We credit AirOps in the bullet list underneath and again in the Quellen list, but the reader meets the figure before either. Every other big number in the article (Ahrefs, DataPulse) is linked inline where it appears — this one should be too. Please link it to AirOps, „The Influence of Offsite Signals in AI Search". It's the same URL that's already in the Quellen list, so nothing new to add at the bottom.

      Please expand to three short paragraphs. Keep the answer-first principle — the 85 percent still needs to appear early — but let it arrive as an answer to something, not as the opening line.

      Suggested version:

      Eine KI kann aus unzähligen Marken wählen. In ihrer Antwort landen trotzdem meist nur drei oder vier. Warum gerade diese?

      Marketingverantwortliche stellen mir seit Monaten dieselbe Frage: Warum taucht unser Wettbewerber in ChatGPT auf und wir nicht, obwohl unsere Website die bessere ist? Die kurze Antwort ist unbequem, weil sie den Hebel aus der Hand nimmt, den man selbst kontrolliert. Eine Marke wird von KI-Systemen dann empfohlen, wenn glaubwürdige externe Quellen über sie schreiben. Laut einer Analyse von AirOps stammen rund 85 Prozent der Markenerwähnungen bei Kaufberatungsfragen nicht von der Marke selbst.

      Die entscheidende Frage lautet damit nicht mehr, wie gut Ihre eigene Website ist, sondern wer sonst über Sie schreibt und wo. Was daraus folgt, welche Maßnahmen tatsächlich etwas bewegen und wo die Grenzen liegen, steht in diesem Text.

      Two things to keep in mind if you rewrite it differently: don't mention GetCited in the intro — the pillar does, but under a Tagesspiegel byline that early it reads as advertorial, and the article already introduces it properly in "Wer übernimmt das für mich?". And the competitor line is the strongest sentence we have, because it's the reader's own thought in their own words. Keep it in whatever version you land on.

    4. Symbolbild, mit KI erstellt.

      Don't love the image tbh. Computer pointing the camera... whiteboard super AI made. I mean, we are disclaiming that and that's fine, but could be better

    1. The reversal is what turns a statistic into a story, and it is our own data that delivers it.

      I dont like this sentnec. Find something else to say please. It's not our own data. We are basing ourself in public data. What did you even mean. It's shitty ai sounding salesy talk. Review the rest of the doc.

    1. 6. The Audit Lottery: how often a business really gets checked #

      I really like this idea... Actually, before reaching down here I was already leaving this on another comment:

      "This gave me an idea for a different angle to explore. Do you think we could find data on how often the Finanzamt audits people and companies? What's the probabilty in % that the finanzamt audits your company in certain brakets). I guess someone must have already done something similar? Should we play with that idea a bit?

      NOw, probably unlikely and just a nice to have, but would be cool to show a country comparison. How often does the Spanish authority audit, etc etc... something comparable, but I guess the focus here should be the Finanzamt. "

      So, yeas, I like it.

      One important thing. I don't really know what you mean by: "Correction found by the scan. The hit rate we were going to headline (Germany 70.3%, Austria 18.8%) is published by the OECD in Tax Administration 2025, Figure 6.3, per country and already ranked. The agent pulled the StatLink and confirmed it digit for digit. In hindsight this is obvious: our figure came from ISORA indicator 337_173, which is a derived indicator. We did not compute it, we reprinted it."

      If this is about novelty, dont worry too much about it. Of course we don't want to publish a study that says the same as another study that launched just a few months ago, but if there are ways of visualizing diffetently or to be honest, even the fact that we'll do outreach for our study already sets us a bit apart. So, don't over weight novelty.

      If it's OECD I guess we are allow to use, right?

      Anyways... let's lead with the most punchy, most lifestyle publisher version we can.

    2. 5. Germany now has the EU's biggest VAT gap, and nobody has said so #

      Dont love this idea. I feel it is be a bit niche and also one that gets too much into macro economy, something that might require special expertise. Also a bit technical.

    3. 31%German self-employed pension, as a share of an employee's

      How do I actually read this? An average self employed person will receive on average 31% of the pension of a normal average employee?

      If Im self employed, Im likely to have a pension of 31 EUR for 100€ a employed penionier gets?

      I'd like you to explore a related angle. How much would we need to save for good retirement? Then we could introduce the variable: self emlpoyed vs employed. How much does a self emlpoyed person need to save for old age in Spain vs an emlpoyee. How about France, Germany, etc etc.

      We probably have part of the methodology done here: '/Users/nicolascaramella/Library/CloudStorage/GoogleDrive-nicolas@datapulse.de/My Drive/agentic-agency-workspace/projects/DataPulse [Main]/Clients (DataPulse)/DataPulse Originals/2026.01 - Rente Retirement Pensions in EU/Drafts/retirement-study-scrollytelling-de.html'

      I mean, if you think this is a different enough study, add it as a new idea and run it through the same feasiblity analysis you run the other ideas.

    4. What exactly is the source and why is it comparable?Eurostat sbs_ovw_act, NACE M692, indicators EMP_NR and NETTUR_MEUR, 2023. NACE is a legally binding EU classification and member states report under Regulation (EU) 2019/2152, so comparability is a statutory obligation rather than our assumption.

      Im a bit skeptical of them keeping a good indicator of amount employed in tax offices. Are you 100% sure this is a database we can use? Really don't want us to be laughed at for not understtanding what this actually meassures. Also, 2023... that sucks big time. Can't do a study basing ourselves on 2023 data. What could we do?

      If we were to pursue this, how could we make it a full scale study? I mean, this can't just be on chart only. Needs to address the topic more as a deep dive than just a short article.

    5. then divide it by that country's average annual gross salary from Eurostat

      Don't love this part. I mean... the EUR number is already a good comparison, right? I do wonder if this idea is solid enough. I don't see t-online or similar writing about it.. I mean, a study on how hard it is for self employed to do the switch is a different thing. That's something I'd actually be very excited about.. now, a study that uses a propriertary metric that helps us compare in EU countries how hard it is for people to stay selbständig before having to run back to searching for a job, that would be an amazing study... Could be other things... comparisons of how hard it is to switch, comparison on how many people roll back to employment, comparison about how hard is is to survive slebständig... i mean, I just told you a bunch of super un unconcrete things, Im aware. I remember when I jumped into selbststaendigkeit and I remember thinking how the fuck am i supposed to pay rent, TK, accountant, life etc. I felt there was a huge gap between what I could charge clients and what the minimuim payment was needed. I felt it could be really useful to have a simplified tax system that lets you not have to pay 800€/year to a fucking accountant, etc etc.. something like the Argentine Monotributo. All of this is just annecdotal. Maybe it sparks an idea. Maybe we can draw inspiration from other studies already done in the US / UK and we can re-use their methodology?

    6. 54 : 1euros Germany takes from income and wealth for every €1 from inheritance

      This took me a tiny bit to understand the way it's written now. Im not 100% sure this is a metric worth a full study. I mean... i get it that "Our original headline was already taken, and we changed it. Schratzenstaller (WIFO) published a 35-country table of inheritance tax as a share of GDP in ifo Schnelldienst 1/2026, with Germany at 0.23, and the OECD Berlin Centre ran the same comparison in the same issue. That metric is closed." but I want you to look at it again. Is there really space for us there? Do you think they pitched it to the media? Was it a wild success? If it was a boring non visual asset, maybe there's room for us to do this well and get pickups. My concern is that a super specific metric might just not be enough for a full study. WDYT?

    1. Beauty-Onlinehändler, Deutschland, 47 Fragen über ChatGPT, Perplexity und Google AI Overview, monatlich gemessen. Der erste Sprung kommt im Monat der ersten fünf Beiträge; danach wächst der Anteil mit jedem weiteren Block.

      How about we say here. Source: GetCited campaign. Brand not disclosed or smt like that?

    2. Quellenverweise je Domain über 3.334 deutschsprachige Vergleichsanfragen an ChatGPT, Perplexity und Google AI Overview. Gold: Publikationen. Neun der zwölf meistzitierten Domains sind Publikationen, dazu YouTube, Reddit und ein Testportal. Kein einziger Anbieter. Quelle: DataPulse Research, Datensatz der Studie „Die versteckte Werbung der KI“ (168.900 Quellenverweise, April 2026).

      Present this in a nicer way. Maybe shorter as well? "Neun der zwölf meistzitierten Domains sind Publikationen, dazu YouTube, Reddit und ein Testportal. Kein einziger Anbieter. " I'd remove.

      Im surprised to see forbes, techradar and rtings.com ... Coudl it be you the study (or you if you checked the source data) used both EN sources as well? Cause I'd only focus on German most cited websites tbh...

      Raw data:

      /Users/nicolascaramella/Library/CloudStorage/GoogleDrive-nicolas@datapulse.de/My Drive/agentic-agency-workspace/projects/DataPulse [Main]/Clients (DataPulse)/DataPulse Originals/2026.04 - AI Hidden Ads : Disclosure Gap/Claude Code Files)

    3. Große Publikationen, Fachmedien, redaktionelle VergleicheMehrere Anbieter, Kriterien, eine begründete Einordnung: genau die Form einer EmpfehlungsantwortHoch, bleibt Jahre indexiertGEO-Agentur, PR

      No need to highlight the first row in my opinion. Just normal color like the others

    1. AirOps (2025); Ahrefs, analysis of 26,283 URLs (2025); DataPulse Research, “The Hidden Advertising of AI” (2026); OpenAI Help Center, “Searching the web with ChatGPT”.

      Add the external links to each

    2. Disclosure: The services mentioned, GetCited and BuzzView , as well as DataPulse Research , whose study is cited here, belong to the same provider environment.

      Remove

    3. How long does it take for AI visibility measures to take effect? GetCited claims to show initial effects after a few weeks and full results after two to three months. For previously unknown brands, it takes longer because a model needs several consistent sources before it can name a new brand.

      Add something about how competitive a space can be. Competitive spaces where there are already a ton of comparison articles will need more "hammering", publishing many articles to get the desired result.

    4. Can a recommendation be guaranteed in AI-generated responses? No. The selection and weighting of sources can shift with each model generation. A reputable approach is to establish a presence in authoritative sources and to accurately measure progress.

      Remove

    5. Anteil der Fragen, bei denen die Marke genannt wird

      Let's modify this a bit. Month 1 (Mär): 21,8% Articles 0 MOnth 2 (Apr) 35,6% Articles: 5

      Then 45,2% 5 articles Then 46,3% 5 articles Then 53,2% 5 articles Then 56,6% 3 articles

      Can you do that shift? Same style everything but let's show results from month 1 which is what usually happens when measured correctly.

    6. The market is currently diversifying into four types, and the differences are greater than the names suggest. Provider typeWhere he startsWhat you getIt fits if Classic SEO agencyYour website, backlinks; GEO often offered as an additional serviceRankings, clicks, technical hygieneThe website itself is under construction. Monitoring toolMeasurement tools, for example BuzzView, Sistrix, Ahrefs Brand RadarMentions, quotes, share of the answers; changes nothing.They know the status and can implement it themselves. GEO-ConsultingStrategy, audit, workshopsA roadmap; the implementation remains with you.a dedicated team takes over the work A GEO agency that handles the entire external part, for example GetCited (Berlin)Publications, YouTube, directories, communitiesMeasurement, research, production, placement and evaluation from a single sourceThe mention in the answer itself is the goal. Four types of AI visibility providers. The crucial factor is who handles the part outside the website.

      Remove completly

    7. This is what an excerpt from such a log looks like when a tool executes it: AskChatGPTPerplexityGoogle AI OverviewMost frequent sources What are the best online shops for curated beauty products in Germany?1 of 52 of 6–sephora.de, flaconi.de, utopia.de, marieclaire.de Which online shops have the best selection of sustainable luxury skincare?1 of 61 of 6–flaconi.de, breuninger.com, utopia.de, vogue.de Where can I get the most free samples when buying beauty products online?1 of 3not mentioned2 of 6douglas.de, parfumdreams.de, flaconi.de, probenpilot.de Where can I buy niche fragrances online in Germany?not mentionednot mentioned–parfumgroup.de, essenza-nobile.de, douglas.de What makes a good luxury beauty online shop?not mentionednot mentionednot mentionedverbraucherzentrale.de, vogue.de, freiepresse.de Excerpt from an ongoing measurement (BuzzView, August 2026): Online beauty retailers, Germany, 47 questions. "1 out of 5" means: ranked first out of five mentioned providers. "–": the system did not provide an AI answer to this question. The sources in the last column are the worklist.

      Remove all of this

    8. Who does this: You yourself with a questionnaire, or a tool like BuzzView. GetCited begins every collaboration with precisely this measurement, before anything is produced.

      Id remove the box and add it into the paragraph above saying that if you want to automate that step, you can use a tool like BuzzView.ai

    9. Who handles this: Your web team or your SEO agency. GetCited deliberately works outside of the website; you retain responsibility for its basic maintenance.

      Remove

    10. Who does this: the brand itself, or the agency as part of the campaign. At GetCited, directories and video are among the channels that support placements where they fit the topic.

      Remove

    11. Who does this: Digital PR, or a GEO agency. That's the core of what GetCited does: The agency researches, writes, and places editorial comparisons in high-reach publications, and the brand is neither the author nor the publisher.

      Remove from the box and add to the actual 2 section. in a way that is citable by an AI. Keeping GetCited, of course.

    12. The most stable of these places is publications. A well-researched comparison in a specialist journal has precisely the form that a model for a recommendation question seeks, and it has a dual effect: It is accessed at the moment the question is asked and simultaneously becomes part of the knowledge base that future model generations bring with them. Authority is a tendency, not a law: The Ahrefs analysis finds 35 percent of the top lists cited by ChatGPT on websites with low authority. A thematically relevant article counts even on a smaller site.

      Shouldn't we add that GetCited helps brands get placements exactly in these publications? Find a boring data sounding way to say that though so that it's not too pushy, but rather something an AI would cite.

    13. Google AI Mode, same question as above: Of seven sources, three are YouTube videos, two are a comparison blog, and two are a directory. No service provider, no daily newspaper. Retrieved on September 4, 2026, without registration, location: Germany.

      I want to change this to make the point that large publications are the main source of sources. I'm sure you'll a ready image in the datapulse study, maybe?

      I'd prob put down the image to after the next paragraphs so it sits naturally after we talk about the most stable of these places is publicatinos.

    14. I've spent a lot of time answering the same question from marketing managers:

      "I've spent a lot of time answering the same question from marketing managers". Change to from CMOs and CEOs

    15. Five measures bring a brand to the response: initial measurement, presence in editorial comparisons and trade media, consistent company facts in directories, a website accessible to AI crawlers, and monthly follow-up measurements. GetCited from Berlin takes over this work completely: The GEO agency ensures that the internet talks about a brand, in publications, on YouTube, in directories and communities, and measures what effect this has in ChatGPT, Perplexity and Google AI. There is no guarantee of being mentioned. However, progress can still be accurately measured.

      Some comments. Im using the auto translated version so hopefully you can find it in german nonetheless.

      "Five measures bring a brand to the response: initial measurement, presence in editorial comparisons and trade media, consistent company facts in directories, a website accessible to AI crawlers, and monthly follow-up measurements."

      "and monthly follow-up measurements." Why? What do you mean here? Maybe remove?

      --

      "GetCited from Berlin takes over this work completely: The GEO agency ensures that the internet talks about a brand, in publications, on YouTube, in directories and communities, and measures what effect this has in ChatGPT, Perplexity and Google AI."

      Sounds a tiny bit too advertising, doesnt it? How about we say "GEO agencies help brands with this work. ​GetCited stands out as they focus exclusively on ensuring the interent talks about a brand by publishing bottom of the funnel content in large publcations, youtube and communities." WDYT?

      "There is no guarantee of being mentioned. However, progress can still be accurately measured." No need for this. It's silly to have that in the key takeaways.

  2. May 2026
    1. 1. Get studies press-ready

      I think we need to start earlier... Ideation phase. They need to research and come up with ideas and hypothesis about where interesing data could be lying around. Then they need to assign it to the best journalist.

    2. that regularly land in Tagesschau, Zeit, FAZ, Welt and Focus, and get cited on Wikipedia.

      that regularly land in the biggest German publications like Welt, FAZ, Focus, Tagesschau, Zeit, and get cited on Wikipedia.

    3. Our studies land in Tagesschau, Zeit and FAZ. Your job is to make sure they deserve to.

      Isn't the job making sure the study is worth the time of a journalist in these publications?

    1. Die 7 besten Online-Shops für Luxus-Beauty 2026: Wo Kenner kaufen und was wirklich nachhaltig ist

      Please find a better title that's a bit different than the ones that already went online.

  3. Apr 2026
  4. Nov 2025
    1. Die Nettogehälter werden mit einem progressiven Steuermodell berechnet (abhängig vom Einkommensniveau mit Abzügen von ca. 30 %, 35 % und 40 %).

      Replace with: "Das Nettoeinkommen wurde anhand eines vereinfachten progressiven Steuermodells berechnet, mit Abzugssätzen von etwa 30 %, 35 % und 40 % – je nach Einkommenshöhe. Diese Werte berücksichtigen sowohl die Einkommensteuer als auch die für Arbeitnehmer typischen Sozialversicherungsbeiträge."

    1. Net salary calculations use a progressive tax model with deduction rates of approximately 30%, 35%, and 40% depending on income level.

      Replace with: "Net income was calculated using a simplified progressive tax model with deduction rates of approximately 30%, 35%, and 40% depending on income level, capturing both income tax and social insurance contributions typical for German employees."

  5. Sep 2025
    1. Data reflects official member state reporting with typical 2-3 month lags for newest installations.

      Replace with: "Data reflects official member state reporting, with typical 2-3 month lags for newest installations."

    2. Fast charging share refers to percentage of points >150 kW, aligned with AFIR high-power charging definitions.

      Replace with: "Fast charging share refers to the percentage of points >150 kW, aligned with AFIR high-power charging definitions."

    3. Prices need to be clear. Roaming means one account that works on any public network: plug, pay, go. If you still juggle three apps and two RFID cards, that isn't roaming.

      Replace: "Prices need to be clear. Roaming means one account that works on any public network: plug, pay, go. If you still juggle three apps and two RFID cards, that is not roaming."

    4. We don't lack pins on a map so much as power, honesty and ease of use. AFIR has set the homework: proper wattage on the big roads, tap-and-go payments, prices you can understand, and live status that isn't make-believe.

      Replace: "We do not lack pins on a map so much as power, honesty and ease of use. AFIR has set the homework: proper wattage on the big roads, tap-and-go payments, prices you can understand, and live status that is not make-believe."

    5. Where access is open and contactless payment is available—as AFIR requires for ad-hoc charging—private roll-outs can close gaps faster than state programmes.

      Replace with: "Where access is open and contactless payment is available — as AFIR requires for ad-hoc charging — private roll-outs can close gaps faster than state programmes."

    6. Too fragmented and drivers juggle apps, cards and tariffs; too concentrated and prices drift while choice shrinks.

      REplcae with "If a market is too fragmented, drivers end up juggling apps, cards, and tariffs; too concentrated, and prices drift while choice shrinks."

    7. Read the chart left to right for access and top to bottom for speed.

      Replace with "Read the chart from left to right for access and from top to bottom for speed."

    8. Patches also appear across central Germany, rural France and Spain's interior, plus alpine valleys, Baltic backroads, and islands.

      Add a ',' "Patches also appear across central Germany, rural France, and Spain's interior, plus alpine valleys, Baltic backroads, and islands."

    9. The drawback is not only a matter of quantity, but also their distribution and charging speed.

      Change to: "The drawback is not only a matter of quantity but also of their distribution and charging speed."

    10. Within the EU-27, the tally stands at about 910,000, roughly a quarter of the Commission's 3.5 million goal.

      Add em dash: "Within the EU-27, the tally stands at about 910,000 — roughly a quarter of the Commission's 3.5 million goal."