Inside the tool
A real BuzzView analysis in this category
Architrave’s AI visibility across ChatGPT, Google AI Overviews & Perplexity — one of the brands tracked in this category, straight from the live tool.
We sent 12 real buying questions to ChatGPT and Google AI Overviews – the questions businesses in this category actually ask. Then we counted which providers get named, and how often. The result is a ranking built from real AI answers, not opinion.
Architrave (5.5%) and Aareon (3.6%) dominate the answers – the remaining 74 named providers split what's left. If you're not here, you simply don't exist to AI users. That's exactly the gap BuzzView makes visible.
Share of all brand mentions across 12 prompts (Share of Voice). The longer the bar, the more often AI names the provider – across every question tested.
Behind the ranking — what the numbers actually mean for brands in PropTech & real estate.
Across 12 real buying prompts sent to ChatGPT and Google AI Overviews, AI systems named 74 distinct vendors in the PropTech and real estate software space. That is a remarkable degree of fragmentation for a B2B vertical. The sheer breadth of names surfaced — from document management platforms like Architrave and docunite to tenant communication tools like Casavi and Aareon — reflects how fragmented European PropTech has remained, with dozens of niche solutions each carving out a narrow functional claim without any one player achieving dominant mindshare across the board.
The top 6 providers by mentions — Architrave, Aareon, SER Group, SAP, allthings, and Casavi — together account for only 25 of the 110 total brand mentions recorded, which equals roughly 22.7%. In a more consolidated software category like CRM or cloud ERP, you would typically expect the top 3 alone to hold 50% or more of AI share of voice. In PropTech, that concentration ceiling has simply not formed yet. AI models are drawing from a wide and scattered information base when answering real estate software questions.
The long tail in this data is extraordinary: 62 providers — the "andere" pool — collectively account for 71 of the 110 total mentions, which is 64.5% of all AI-generated brand references. These are vendors that appear once or twice across prompts, often in highly specific vertical contexts such as institutional asset management, building operations, or automated valuations. This tells us that AI models are treating PropTech as a specialist domain where sub-category expertise matters more than general brand recognition, and they are surfacing obscure tools rather than defaulting to a handful of headline names.
For brands operating in this space, this fragmentation is both a threat and an opportunity. The threat is invisibility: with 74 named providers and the AI distributing its attention so widely, even a solid product can fail to be mentioned consistently. The opportunity is that the winner's podium is still unoccupied at scale. Unlike categories where Salesforce or HubSpot dominate AI outputs unconditionally, PropTech's top spot — currently held by Architrave with just 5.5% share of voice — is eminently contestable by any vendor willing to invest in strategic AI content presence.
PropTech is the most fragmented AI-search landscape we have measured: 74 providers named, and the category leader controls only 5.5% share of voice. Any brand that builds systematic AI content presence now will find minimal resistance at the top.
Among the three tracked providers, the spread in visibility scores is striking. Architrave leads with a visibility score of 75.0, meaning it appeared in responses to 75% of the prompt set. allthings sits in the middle at 50.0, appearing in half of all prompts. PriceHubble trails at 37.5, appearing in fewer than four of the twelve prompts. This two-to-one gap between the most and least visible tracked brand, measured on exactly the same set of buyer intent questions, makes it impossible to attribute the difference to luck or prompt variance alone. The gap reflects structural differences in how each brand is represented in AI training data and online content ecosystems.
In PropTech, AI visibility is primarily driven by the volume and quality of technical documentation, integration guides, and third-party platform listings. Architrave's strength in institutional document management means it appears in compliance-heavy, process-specific discussions — exactly the kind of structured content that AI models cite with high confidence. Platforms like Architrave that provide clear, structured, use-case-level documentation tend to be recognized by AI systems across a broader range of prompt types, including both best-of lists and specific vertical comparisons.
PriceHubble's lower visibility despite operating in a high-interest area — automated property valuations — suggests that its content presence in AI-indexed sources is thinner than its actual market footprint. This is a pattern we observe across categories: companies that do strong direct sales but underinvest in content ecosystems (review platforms, integration partner pages, analyst mentions, press coverage with precise use-case framing) tend to be underweighted by AI, regardless of actual product quality. AI does not know what it was not taught, and it was not taught enough about PriceHubble in the specific prompt contexts we tested.
The path from 37.5 to 75.0 visibility is not a mystery. It requires consistent, structured content in the places AI models draw from: software review platforms with detailed category tags, integration marketplaces, independent editorial comparisons, analyst white papers, and highly specific landing pages that address named use cases. For PriceHubble and other mid-visibility PropTech vendors, the playbook is clear even if the execution requires sustained investment over 12 to 18 months before AI perception catches up with brand reality.
A 37.5-point gap in AI visibility between tracked providers on the same prompts is not a product gap — it is a content gap. PropTech brands with low visibility scores should audit their presence on review platforms, integration directories, and analyst-cited sources first.
The 12 prompts in this study deliberately covered four distinct buyer intent modes: best-of questions ("What are the best tools for institutional asset managers?"), direct comparison prompts ("Compare Architrave, Doxis, and Docupace"), alternative-seeking prompts ("What alternatives exist to Doxis?"), and vertical or use-case prompts ("Compare tools for automating property valuations"). Each prompt type surfaces a different competitive landscape, and the pattern is consistent with what we observe across B2B software categories. Understanding which prompt type your brand owns — and which it is absent from — is the starting point for any AI content strategy.
Best-of and category-leader prompts strongly favor Architrave, which has built a content footprint that positions it as the go-to answer when AI systems are asked to recommend document management tools for institutional real estate. This type of content dominance typically comes from consistent appearances in structured lists, awards, and ranking-style editorial content on third-party platforms. For brands like Aareon, which has comparable market standing in housing management software, appearing in best-of contexts requires investing in content that makes category leadership explicit — not just product marketing that describes features in isolation.
Comparison and alternative-seeking prompts — the format used in three of the twelve sample prompts — produce a distinctly different leaderboard. Enterprise vendors like SAP and SER Group appear more prominently here because AI models draw on review content and analyst comparisons that explicitly name these vendors in competitive contexts. This is a content strategy insight: if your brand is regularly named as a comparison point or alternative to category leaders, AI systems learn that you belong in the same conversation. Casavi and immocloud, for instance, each earned their mentions primarily through alternative-seeking and vertical prompts, not through top-of-category positioning.
Vertical and use-case prompts are where the longest tail of named providers appears, and where allthings and PriceHubble show their strongest relative performance. When a buyer asks specifically about automating building operations or generating automated property valuations, AI models look for content that addresses that precise functional context. This is the clearest signal for content strategy: PropTech vendors should not only publish generic category content but invest deeply in use-case-specific pages, case studies, and documentation that match the exact functional language buyers use in AI queries. The 62 vendors that appeared only in the "andere" pool almost certainly earned those mentions through vertical-specific content rather than broad brand awareness.
PropTech AI visibility is not won with a single content type. Brands need category-leader content to win best-of prompts, comparison-friendly content to appear in alternative searches, and deep vertical pages to surface when buyers ask about specific use cases like automated valuations or building operations management.
One of the most notable findings in this data is that no provider in the top 12 receives a single negative mention. This is not a sign of universal excellence in PropTech — it is a function of how AI systems handle B2B software recommendations. Models like ChatGPT and Google AI Overviews are trained to produce balanced, informative responses rather than critical assessments in vendor comparison contexts. As a result, negative sentiment in AI outputs is rare across all software categories, and a clean negative-zero score should not be read as a competitive advantage. What matters more is the split between positive and neutral framing, and here the data reveals a meaningful divide.
Architrave leads all providers with 2 positive mentions out of 6 total — a 33% positivity rate. allthings matches this ratio with 2 positive mentions out of 4. EVANA, d.velop, DocuWare, docunite, and PriceHubble each earn at least 1 positive mention. By contrast, SER Group, SAP, Casavi, and immocloud each receive exclusively neutral mentions despite their comparable or equal mention counts. Neutral mentions typically reflect AI systems citing a vendor as a factual option rather than endorsing it — the difference between "SER Group offers document management solutions for real estate" and "Architrave is widely regarded as a leading platform for institutional property documentation."
In PropTech, positive AI sentiment is driven by a specific type of content: verified customer outcomes, industry award recognition, and third-party analyst endorsements that AI models encounter during training. Architrave's positive framing likely reflects its presence in case studies and editorial content that use evaluative language — terms like "leading," "trusted by institutional investors," or "recognized for compliance-grade document management." allthings earns positive mentions in the context of tenant experience and smart building automation, categories where outcome-focused content from property managers and facility operators creates a positive signal that AI systems absorb.
For brands currently receiving only neutral AI mentions — SAP, SER Group, Casavi, immocloud — the content gap is identifiable. These vendors need more third-party validation content: published customer success stories with specific outcome metrics, appearances in PropTech award shortlists and analyst reports, and editorial mentions in real estate industry publications that use qualifying language. Neutral mentions are not bad, but they represent missed opportunity at the moment of AI-assisted decision-making, when a buyer reading AI output is more likely to follow up on a positively framed vendor than a neutrally cited one.
In PropTech AI outputs, the gap between positive and neutral framing is driven entirely by the quality of third-party validation content. Brands receiving only neutral mentions should prioritize customer success case studies and industry award coverage before investing in further volume-based content production.
Taken together, the full data picture places PropTech and real estate software at an early stage of AI-search maturity. The defining characteristics of this stage are clear: 74 distinct providers named across just 12 prompts, a category leader with only 5.5% share of voice, the top 6 brands accounting for less than 23% of total mentions, and a long tail of 62 vendors accounting for nearly two-thirds of all brand references. This is the signature of a category where AI models have not yet crystallized around a recognized hierarchy — they are drawing from a fragmented, heterogeneous information landscape and reflecting that chaos back in their answers.
Compare this to mature AI-search categories. In cloud ERP, AI systems consistently surface SAP, Microsoft Dynamics, and Oracle as top-of-mind answers, with those three often capturing 50-70% of mentions across diverse prompt sets. In HR software, Workday, SAP SuccessFactors, and BambooHR dominate AI outputs with similar concentration. PropTech has not reached this consolidation phase. Even SAP itself, when it appears in PropTech prompts, does so as a peripheral enterprise player rather than as the default answer — it earns 3.6% share of voice, equivalent to Aareon and SER Group, rather than the dominant share it commands in its core ERP market.
The opportunity in low-maturity categories is that AI perception hierarchies are still being formed. When a category is mature, challenging the top 3 requires displacing deeply embedded AI associations that are reinforced by years of content accumulation and consistent citation patterns. In PropTech, no vendor has yet built that kind of entrenchment. Architrave's 75.0 visibility score and 5.5% share of voice is a leading position, but it is a leading position built on a small absolute foundation — 6 mentions across 12 prompts. A systematic 18-month content program by any mid-tier vendor could plausibly challenge or surpass that position.
The strategic implication is one of urgency, not comfort. Categories do not stay fragmented forever. As PropTech consolidates through M&A activity, as more institutional real estate operators publish detailed software procurement content, and as review platforms deepen their PropTech-specific coverage, AI models will begin to form more stable category associations. The brands that invest in AI content presence now — structured use-case pages, outcome-driven case studies, third-party review coverage, integration marketplace listings — will be the ones that AI systems cite as category defaults once this consolidation happens. The window for a low-effort climb to AI category leadership in PropTech is open, but it will not stay open indefinitely.
PropTech is an early-stage AI-search category where no brand has established durable dominance — the top provider controls only 5.5% share of voice. Brands that act now have a realistic window to claim category-default status before AI perception hierarchies solidify around the current leaders.
See it in action
Track your brand across every AI — automatically. Here's how it works.
1. What is BuzzView?
2. Your Brand vs. Competition
3. From Data to Action
No wishful thinking: the ranking comes from exactly these prompt types – best-of questions, comparisons, alternatives and use cases.
Visibility score = share of prompts where the provider appears in the AI answer at all. 100% means: present for every relevant question.
Architrave’s AI visibility across ChatGPT, Google AI Overviews & Perplexity — one of the brands tracked in this category, straight from the live tool.
We set the real search and buying questions of your industry – exactly how your customers actually ask AI.
Every prompt runs against all major AI models. We count mentions, position, sentiment and the cited sources.
You see your ranking, your share of voice and exactly the prompts where competitors win – and you don't.
Run your own industry comparison and see in minutes whether ChatGPT & co. recommend you – or your competitors.
Start Free Trial No credit card · Results in minutes · GDPR-compliant, hosted in Germany
