The Sunday Shortlist
US CRM platforms: Everyone gets compared. Only three get chosen.
Measured 15 June to 3 August 2026.
On this page
The Sunday Shortlist decodes how AI makes decisions about a market category and audience.
This week we analyse how the CRM market meets the criteria that the C-suite and operational leaders demand when considering a new vendor. We unpack the questions buyers ask AI, the shortlist that comes back, and the criteria that decide it.
Somewhere in the US right now, a VP of Sales is asking an AI model which CRM the company should migrate to. The model answers in seconds: a shortlist, the risks to watch, a favourite. No vendor hears about that conversation. We measure it.
What we measured
Since mid-June we have run the US CRM market's buying questions through the models every week, across the whole decision journey from first comparison to advocacy. The questions are the ones buyers actually ask: "What's involved in migrating our current system to a new CRM?" "Which CRM solutions integrate with our existing tech stack?" "What are the core features we should be looking for in a CRM platform?"
Sixteen weekly runs. Latest: 3 August 2026. This analysis was measured with two models: Gemini and Claude.
The judging sheet
When a buyer asks a model to choose, the model behaves like a judge: it applies criteria, checks each brand's evidence against them, and cuts the brands that fail. Ten criteria decide the answers in this category. Six weigh heaviest, and the buyer language behind each one is specific:
- Cost and fees: "Are there hidden fees for additional modules or integrations?"
- Expected outcomes: "Can we see case studies of companies similar to ours achieving measurable results?"
- Product fit: "Does it integrate seamlessly with our existing tech stack?"
- Flexibility: "Can we tailor workflows and fields to match our unique sales process?"
- Service and relationship: "What level of ongoing support is included?"
- Trust and reputation: "What do current customers say about their reliability and support?"
This is the exam. Every brand in the category sits it every day, whether it knows or not.
The decision cliff
How to read the table: evaluation answers are the models' replies when a buyer compares options ("which CRMs should we look at?"). Decision answers are the replies when the buyer asks the model to choose ("which one should we pick?"). The percentages show how frequently each brand appears in each kind of answer.
In evaluation answers, the category looks generous. Eight brands appear with real presence, from the giants to the challengers. Then the decision answers arrive, and the field collapses:
| Brand | Evaluation answers | Decision answers |
|---|---|---|
| Salesforce | 87% | 97% |
| Microsoft | 84% | 90% |
| HubSpot | 90% | 81% |
| Zoho CRM | 58% | 3% |
| Pipedrive | 42% | 7% |
| Freshsales | 13% | 0% |
58% → 3%
Zoho CRM's share, from comparison answers to choice answers. Present in the conversation, absent from the verdict.
Pipedrive drops 35 points. Freshsales disappears entirely. The top three convert their evaluation presence almost intact.
The market has a middle class in evaluation and none in decision. Being in the conversation is not being in the answer.
Why brands fall, categorically
The models never tell a vendor why it fell. Across the candidate profiles in this run, the gaps cluster:
- Opaque pricing, the most common eliminator (4 of 6 candidate profiles): "Hidden fees and complex pricing make total cost of ownership unpredictable and too high."
- Value and risk misalignment (3 of 6): "Provider's public stance on data privacy conflicts with our company's ethical guidelines."
- The hard dealbreakers behind them: "Provider has recent data breach history." · "CRM platform does not meet GDPR requirements for data handling."
None of this appears in any dashboard. It appears in the answer your buyer reads.
Nobody owns a criterion
Here is the finding that should keep CRM marketers up at night, and it is good news for the ambitious ones: across ten criteria, not one has an owner. No brand is the default answer for cost transparency. None owns integration fit, or implementation speed, or provable outcomes.
The buyers feel the vacuum:
"I've reviewed three different vendor proposals and they all sound the same."
a buyer hesitation, surfaced repeatedly in the monitoring data
In a category where the judge has criteria and no favourites per criterion, the first brand that publishes real evidence against a single criterion takes it nearly uncontested.
Who listens where
The models name their sources, and the pattern is blunt: G2, Capterra, Gartner, Forrester, TrustRadius. Review aggregators and analyst houses. Not vendor blogs.
That changes what publishing means. One page on your own domain is a claim. The same claim, met again on the surfaces the model reads, becomes evidence. For this category, concretely:
- Always first: one complete evidence page on your own domain. Every echo points back to it.
- Both models: carry the claim onto the review aggregators they cite. Your G2 and Capterra profiles should state the pricing and integration evidence in the fields the models quote.
- Claude: restate the claim in a LinkedIn article and in community threads with sources. Claude leans on professional and editorial surfaces.
- Gemini: put the claim in a YouTube video, spoken and transcribable. Google's model reads Google's surfaces.
The lesson
More visibility does not close the gap between compared and chosen. Evidence against the judge's criteria does.
The Monday morning move for a CRM brand: publish the total-cost answer, completely, in a form the models can quote: licence, modules, integrations, implementation. Pricing opacity eliminates more brands than any other gap in this category, and no brand owns the criterion.
Your category has its own version of this table. The criteria differ. The cliff does not.
The Sunday Shortlist
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