Familiar brands can have low measured presence
Dynamics 365 appeared in 36/150 CRM answers: 24.0%, Wilson 95% interval 17.9% to 31.4% (Broadcastwell, 2026, September CRM vendor table).
Microsoft Dynamics 365 was named in 36 of 150 valid CRM answers in the September release: 24.0%, descriptive 95% Wilson interval 17.9% to 31.4%. That observation concerns the release's fixed CRM questions and engines. It is not a judgment of the product, a measure of revenue or a claim about all conversations. Absence Index release 2026-09, CRM vendor table.
We chose the named examples below because readers may recognize their parent companies or products. We have not ranked these businesses by size, market share or brand strength. The measured selection rule is simply presence in no more than a quarter of the eligible target answers for the relevant category.
That distinction matters if you are asked why a well-known product is missing. Company recognition can explain why the omission feels surprising. It cannot supply the missing observation or identify the reason for the answer.
Which familiar vendors had low naming rates?
| Category | Checked product or vendor | Named / valid answers | Share | Descriptive 95% Wilson interval |
|---|---|---|---|---|
| Construction project management | Sage 300 CRE | 4 / 150 | 2.7% | 1.0% to 6.7% |
| Construction project management | Oracle Construction and Engineering | 14 / 150 | 9.3% | 5.6% to 15.1% |
| Hotel property management | Oracle OPERA Cloud | 25 / 149 | 16.8% | 11.6% to 23.6% |
| Radiology and medical imaging | GE HealthCare | 24 / 150 | 16.0% | 11.0% to 22.7% |
| Radiology and medical imaging | Siemens Healthineers | 13 / 150 | 8.7% | 5.1% to 14.3% |
| CRM | Microsoft Dynamics 365 | 36 / 150 | 24.0% | 17.9% to 31.4% |
Source: deposited September release JSON, category vendors and mention_rate fields. These are vendor-level answer proportions. Multiple vendors can be named in an answer, and the intervals are descriptive because the answers share questions and collection conditions. The hotel denominator retains its valid-answer exclusion. Full vendor table, including every category and the threshold flag.
The threshold applies to the observed count, not to the interval's upper bound. A product can meet the observed threshold while its uncertainty interval extends beyond it. We keep that interval rather than presenting a boundary decision as if it were precise knowledge of a long-run probability.
We also retain product names. “Oracle Construction and Engineering” and “Oracle OPERA Cloud” belong to different category observations. Substituting the parent company's name for each product can conceal the question being asked and the definition used in the checked set.
The university paper asks a different question
Giannakoulopoulos and colleagues studied websites belonging to the 100 highest-ranked universities in the Academic Ranking of World Universities. They compared academic standing with researcher-defined website-quality and SEO-performance rankings. Their Table 9 reports Spearman rho 0.35 for website quality and −0.044 for the SEO-performance ranking. The latter's reported significance value is 0.333. A check of the authors' deposited 100-row results gives a positive rank coefficient of +0.04382, rather than the printed negative sign, and a conventional two-sided approximation of p = 0.6651. The sign and test value do not reproduce; both versions describe a weak, nonsignificant association. Original deposited results, Sheet1, C3:C102 and H3:H102, checked 30 October 2026. These are reported and recomputed values, not a fresh audit of university websites. Giannakoulopoulos et al., 2019, Table 9.
The paper's nearby prose prints the first coefficient as 0.355; the table rounds it to 0.35. We identify the table value rather than silently treating the two precisions as separate findings. These are correlation coefficients, not percentages of universities. No count-based Wilson interval applies.
The outcome also needs its name kept intact: this researcher-defined SEO audit score combines weighted checks, rather than observing where the university appears in search. It is not observed search position, traffic, answer inclusion or citation. The weights and constituent checks are part of the study's definition of performance. The result cannot establish that academic reputation is unrelated to every form of online discovery.
That is why we grade the study B for this use. It is a useful warning against substituting institutional prestige for measured website characteristics. It cannot validate the Index, explain Microsoft's observed rate or prove that a technical audit score causes AI visibility.
The authors write that “Further analysis may verify the first results of the survey.” That stated limit belongs beside the reported correlation. [Giannakoulopoulos et al., 2019, §4, reprint PDF p. 39, printed p. 30].
An award may exist without being easy to find
A small Greek corporate-responsibility case adds a separate communication question. Xanthopoulou and colleagues' Figure 4 records references to the Corporate Responsibility Index on company websites: 19 of 25 companies in the 2015 comparison and 13 of 27 in the 2020 comparison. These are reported descriptive counts in a selected group. They are not an estimate of award-display behavior across companies generally. Xanthopoulou et al., 2024, chapter 68, Figure 4, printed p. 636; PDF p. 620.
The narrative summarizes the latter share as roughly half. The original figure and its caption preserve the actual count and base. The groups differ in size, and the chapter does not establish a causal explanation for the communication pattern. We use this C-grade example only to describe a gap between possessing a distinction and mentioning it publicly.
It does not measure AI answers at all. Nor does it prove that putting an award on a site changes search results. That missing causal link remains missing even when the proposed communication improvement seems sensible.
A verification mark has a narrower job
The current Index Verified page says that verification establishes control of the canonical domain in the record. It also says a claim changes no observation. A company can present a dated, linked badge or record so a reader can inspect what was measured.
That is a documentation benefit. We have no experiment showing that displaying the badge increases an engine's naming or citation rate. Domain control is not an endorsement of product quality. A badge referring to observed presence needs its release, category and source record to remain visible.
The corporate-responsibility example and the badge therefore meet at a modest point: a claim is easier for a reader to inspect when the evidence is published in context. Neither establishes that the evidence will be selected by an engine. Avoid turning a convenient publishing action into a promised visibility fix.
What can you investigate next?
Begin with the actual buyer question. A broad shortlist question and a workflow-specific question can ask for different capabilities. Read whether the response names the product, describes it accurately and supplies a source that supports the description. A familiar parent brand does not settle those questions.
Inspect the evidence next. Is the capability stated explicitly? Is the intended buyer clear? Could a reader distinguish this particular product from its parent brand, its neighboring products and an offering intended for a different buyer? Those are verifiable communication questions. If an edit is warranted, record the reason separately from any later visibility observation.
There are competing priorities. A product team may reasonably prefer improving a buyer-facing explanation to pursuing a generic shortlist mention. A vendor may be correctly absent from a question outside its scope. A broad presence score cannot make that judgment without reading the use case.
The named examples can prompt investigation, but they cannot diagnose a cause. The full data table also contains less familiar companies with very low counts. Recognition made the examples noticeable; the record still asks the same practical question for each one: which dated answers, to which buyer questions, actually included this product?
What our own data shows
The examples above come from release 2026-09, DOI 10.5281/zenodo.22907695, not a new survey of brand strength. Download all checked vendor counts, bases and Wilson intervals. We have no measurement on this point: the effect of displaying an Index Verified badge on later naming or citation has not been established.
Sources
-
Giannakoulopoulos et al. (2019). Results - Academic Excellence and Web Presence Correlation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3484673 . Sheet1, rows 3 to 102. Verified 30 October 2026.
-
Broadcastwell. (2026). Absence Index, release 2026-09 [Data set]. Zenodo. Release JSON, answer JSONL and README. https://doi.org/10.5281/zenodo.22907695 Verified 30 October 2026.
- Giannakoulopoulos, A., Konstantinou, N., Koutsompolis, D., Pergantis, M., & Varlamis, I. (2019). Academic excellence, website quality, SEO performance: Is there a correlation? Future Internet, 11(11), 242. doi:10.3390/fi11110242 . Accessible original Verified 30 October 2026.
-
Xanthopoulou, P., Kavoura, A., Sahinidis, A., & Antoniadis, I. (2024). Communicating corporate social responsibility in an era of disruption: A study of Greek companies participating in Corporate Responsibility Index (CRI). In Strategic innovative marketing and tourism (pp. 631 to 639). Springer. Figure 4, p. 636. https://doi.org/10.1007/978-3-031-51038-0_68 Verified 30 October 2026.
-
Giannakoulopoulos, A., Konstantinou, N., Koutsompolis, D., Pergantis, M., & Varlamis, I. (2019). Academic excellence, website quality, SEO performance: Deposited spreadsheets [Data set]. Zenodo. Results Sheet1, C3:C102 and H3:H102. https://doi.org/10.5281/zenodo.3484673 Verified 30 October 2026.
Cite this page
Broadcastwell research team. (2026, October 30). Familiar brands can have low measured presence. Broadcastwell. https://docs.broadcastwell.com/research/insights/strong-brands-weak-visibility/ Published 30 October 2026; updated 30 October 2026.
@online{broadcastwell2026research5,
author = {{Broadcastwell research team}},
title = {Familiar brands can have low measured presence},
year = {2026},
date = {2026-10-30},
url = {https://docs.broadcastwell.com/research/insights/strong-brands-weak-visibility/},
urldate = {2026-10-30},
note = {Published 2026-10-30; updated 2026-10-30}
}
Prepared by the Broadcastwell research team. Lead: Priya Nair, management consultant.
Sources checked 30 October 2026. Independent check: 30 October 2026. This page has not been peer reviewed.
Last updated: 30 October 2026. Next review: 30 January 2027.