CRM product recommendation profile
How often did the OpenAI API recommend Less Annoying CRM?
Less Annoying CRM ranked #8 by recommendation reach and #8 by first-choice credit across three waves. It appeared in 4.0% of 600 accepted answers and was strongest for cost and value prompts at 14.2%.
Reach rank 8 · first-choice rank 8Observed September 8, 2026gpt-5.6-luna
Research and publication by Benchmark Bureau · Reviewed September 15, 2026 · Report a correction
Overall measured position
- Recommendation estimate
- 4.0%
- Recommendation 95% CI
- 2.8%–5.3%
- First-choice estimate
- 1.2%
- First-choice 95% CI
- 0.5%–2.0%
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
Low-frequency evidence with substantial uncertainty
Less Annoying CRM appeared too infrequently for narrow estimates to carry the same precision as the leaders, so the most valuable conclusion is the size of the current evidence gap.
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
- 4.0%
- Recommendation change
- +2.0 pp
- Change 95% interval
- -0.3 pp to +4.0 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
Micro business
10.0% recommendation estimate · rank #7 across 120 accepted answers.
Inspect this segment →Buying priority
Cost and value
14.2% recommendation estimate · rank #7 across 120 accepted answers.
Inspect this priority →Where recommendation reach was lowest
Company scale
Mid-market
Less Annoying CRM was recommended in 0.0% · rank #16across 120 accepted answers.
Inspect this context →Buying priority
Sales execution
Less Annoying CRM was recommended in 0.0% · rank #17across 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 | 7 | 10.0% | 3.3% |
| Small business | 7 | 8.3% | 2.5% |
| Growth company | 9 | 1.7% | 0.0% |
| Mid-market | 16 | 0.0% | 0.0% |
| Upper market | 17 | 0.0% | 0.0% |
| Context | Rank | Recommended | First choice |
|---|---|---|---|
| Cost and value | 7 | 14.2% | 5.8% |
| Fast adoption | 10 | 5.8% | 0.0% |
| Sales execution | 17 | 0.0% | 0.0% |
| Integration | 17 | 0.0% | 0.0% |
| Governance | 17 | 0.0% | 0.0% |
The source environment around cost and value answers
This was Less Annoying CRM's strongest measured buying-priority context. The source summary describes all accepted answers in that context, not sources uniquely associated with Less Annoying CRM.
120answers with citations
728inline citations
89distinct domains
98.5%vendor-owned citation share
Most-cited domains in cost and value
- hubspot.com152 citations
- pipedrive.com149 citations
- zoho.com139 citations
- freshworks.com77 citations
- help.zoho.com45 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 Less Annoying CRM's measured strength for micro business and cost and value persists under prompts that reflect your actual operating constraints and named competitors.