GTM AI Index
Index Vendors › HighLevel · September 2026 Edition
3 categories · Named, not ranked

HighLevel

6Judge labels
0First choices
1Negative labels
4 of 12Models named it
3Categories
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. HighLevel was named 3 times in CRM and 2 other categories, where HubSpot CRM led with 41%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In crm · 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 HighLevel 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
CRMRevenue operations0%45 of 710%1under 10 labels · led by HubSpot CRM at 41%
Lead routing and managementSales0%42 of 1040%1under 10 labels · led by LeadAngel at 32%
Review and reputation managementMarketing0%68 of 1030%1under 10 labels · led by Birdeye at 26%

Movement

This is the first edition on this tier, so no move can be computed for HighLevel 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 HighLevel 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 Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500101

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative3 labelsNone
Budget-constrained2 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative6 labels in all, every segment counted; 0 of the 0 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.

“Choose HighLevel if you run an agency or want a single dashboard for SMS, Email, Calls, and CRM.” Qwen 3.7 Flash · Lead routing · comparative 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 HighLevel, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and HighLevel was named but was not.
ProductSame answerTook the first choice insteadHead to head
HubSpot Sales Hub2 of 61Not in the top three
ActiveCampaign2 of 60Not in the top three
Brevo2 of 60Not in the top three
HubSpot Marketing Hub2 of 60Not in the top three
Birdeye1 of 61Not in the top three
EdApp1 of 61Not in the top three
Lessonly1 of 61Not in the top three
Maestra1 of 61Not in the top three
Mautic1 of 61Not in the top three
SOCi1 of 61Not 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 HighLevel. 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 6 answers that named HighLevel and are not a share of its labels.

Domains cited

aigrowthagent.co1
brevo.com1
etropo.com1
factors.ai1
gartner.com1
gumloop.com1
infobip.com1
insiderone.com1
isometrik.ai1
knock.app1

Ten of the ten domain citations in answers naming HighLevel came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as HighLevel

What the judge wrote, as written, with how often. The vendor table decides that these count as HighLevel; a claim can dispute any of them.
HighLevel (GoHighLevel) 1
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 HighLevel'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 HighLevel, 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 highlevelautomationteam.com 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.

Subscribe to the pack