CRM product recommendation profile
How often did the OpenAI API recommend Copper CRM?
Copper CRM ranked #10 by recommendation reach and #11 by first-choice credit across three waves. It appeared in 3.2% of 600 accepted answers and was strongest for fast adoption prompts at 15.0%.
Reach rank 10 · first-choice rank 11Observed September 8, 2026gpt-5.6-luna
Research and publication by Benchmark Bureau · Reviewed September 15, 2026 · Report a correction
Overall measured position
- Recommendation estimate
- 3.2%
- Recommendation 95% CI
- 2.0%–4.5%
- First-choice estimate
- 0.0%
- First-choice 95% CI
- 0.0%–0.0%
Recommendation and first-choice estimates answer different questions. Their intervals resample whole prompts within the frozen scale-and-priority strata; they do not represent website traffic, buyer conversion, customer satisfaction, or market share.
The practical reading
Signal
A narrow recommendation footprint in this study
Copper CRM registered in the benchmark but with limited support, making targeted ecosystem or buyer-context testing more useful than a broad competitive claim.
Decision use
Turn the signal into a diligence question
Use the measured contexts to decide which positioning, competitor, or discovery questions deserve closer investigation. Do not use the ranking as a product verdict.
Movement from the August baseline
- August recommendation
- 2.0%
- September recommendation
- 3.2%
- Recommendation change
- +1.2 pp
- Change 95% interval
- -0.7 pp to +2.8 pp
The comparison uses the same 200 buyer prompts. August contains one answer per prompt; September repeats every prompt in three timed waves. The change interval resamples whole prompts within the frozen scale-and-priority strata.
Where the product was strongest
Company scale
Small business
7.5% recommendation estimate · rank #8 across 120 accepted answers.
Inspect this segment →Buying priority
Fast adoption
15.0% recommendation estimate · rank #7 across 120 accepted answers.
Inspect this priority →Where recommendation reach was lowest
Company scale
Upper market
Copper CRM was recommended in 0.0% · rank #15across 120 accepted answers.
Inspect this context →Buying priority
Cost and value
Copper CRM was recommended in 0.0% · rank #15across 120 accepted answers.
Inspect this context →A lower estimate identifies where the product entered fewer measured recommendation sets. It does not show why, establish product weakness, or prove that any marketing change would alter future answers.
Measured variation by buyer context
| Context | Rank | Recommended | First choice |
|---|---|---|---|
| Micro business | 11 | 4.2% | 0.0% |
| Small business | 8 | 7.5% | 0.0% |
| Growth company | 8 | 3.3% | 0.0% |
| Mid-market | 9 | 0.8% | 0.0% |
| Upper market | 15 | 0.0% | 0.0% |
| Context | Rank | Recommended | First choice |
|---|---|---|---|
| Cost and value | 15 | 0.0% | 0.0% |
| Fast adoption | 7 | 15.0% | 0.0% |
| Sales execution | 15 | 0.0% | 0.0% |
| Integration | 11 | 0.8% | 0.0% |
| Governance | 15 | 0.0% | 0.0% |
The source environment around fast adoption answers
This was Copper CRM's strongest measured buying-priority context. The source summary describes all accepted answers in that context, not sources uniquely associated with Copper CRM.
120answers with citations
585inline citations
171distinct domains
93.2%vendor-owned citation share
Most-cited domains in fast adoption
- hubspot.com159 citations
- pipedrive.com111 citations
- zoho.com37 citations
- close.com35 citations
- salesforce.com30 citations
This describes the source environment across all accepted answers in this context. It does not measure product-specific source influence or prove that a citation caused a recommendation.
Evidence gaps and the next question
The benchmark does not measure current price, implementation effort, feature quality, security posture, customer outcomes, or why the model selected a product. A useful next step is to test whether Copper CRM's measured strength for small business and fast adoption persists under prompts that reflect your actual operating constraints and named competitors.