GTM AI Index
Index Vendors › Fairview · September 2026 Edition
2 categories · Named, not ranked

Fairview

5Judge labels
2First choices
0Negative labels
3 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Fairview was named 3 times in Revenue intel and 1 other category, where Avoma led with 20%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In revenue intel · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Fairview for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Revenue intelligence and forecastingSales4%8 of 750%2under 10 labels · led by Avoma at 20%
Dashboards and data visualizationGTM data and infrastructure0%27 of 730%1under 10 labels · led by Microsoft Power BI at 62%

Movement

This is the first edition on this tier, so no move can be computed for Fairview yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Fairview across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar01001
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash20002
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct1 labelNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained3 labels1
Scale-constrained1 label1
Negative0 labelsNone
First choiceAlternativeMentionNegative5 labels in all, every segment counted; 2 of the 2 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“For mid-market companies needing one shared number for new + renewal + subscription, tools like Fairview score highest.” DeepSeek V4 Flash · Revenue intel · scale prompt · first choice
“Fairview at $149/month (or $119/month billed annually) is the standout choice” DeepSeek V4 Flash · Revenue intel · budget prompt · first choice
“Fairview is a strong alternative and was rated highest in one 2026 comparison for mid-market operators” Perplexity Sonar · BI & dashboards · direct prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Fairview, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Fairview was named but was not.
ProductSame answerTook the first choice insteadHead to head
Clari Copilot4 of 50Not in the top three
Gong4 of 50Not in the top three
HubSpot Sales Hub3 of 51Not in the top three
Grain3 of 50Not in the top three
Avoma2 of 51Not in the top three
Aviso2 of 50Not in the top three
Claap2 of 50Not in the top three
Optifai2 of 50Not in the top three
tl;dv2 of 50Not in the top three
Forecastio1 of 51Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Fairview. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 1 of the 5 answers that named Fairview and are not a share of its labels.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Fairview's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Fairview, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at fairview.io is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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