Index › Vendors › ProductRank.ai · September 2026 Edition

1 category · Named, not ranked

ProductRank.ai

5Judge labels

0First choices

0Negative labels

4 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. ProductRank.ai was named 1 time in AI visibility, where Otterly led with 20%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business27 of 107

under the label threshold

Mid-market88 of 119

under the label threshold

Enterprise85 of 111

under the label threshold

In ai visibility · 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 ProductRank.ai 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
AI visibility and answer engine tracking tools	Marketing	0%	88 of 119	0%	1	under 10 labels · led by Otterly at 20%

Movement

This is the first edition on this tier, so no move can be computed for ProductRank.ai 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 ProductRank.ai across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Mention	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	1	1
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0

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

Comparative2 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative5 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.

No positive label carried a quote.

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 ProductRank.ai, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and ProductRank.ai was named but was not.

ProductSame answerTook the first choice insteadHead to head

HubSpot AEO Grader5 of 51Not in the top three

Otterly4 of 51Not in the top three

Profound3 of 51Not in the top three

AIclicks2 of 50Not in the top three

Ahrefs Brand Radar2 of 50Not in the top three

Semrush AI Visibility Toolkit2 of 50Not in the top three

GrackerAI1 of 51Not in the top three

LLM Pulse1 of 51Not in the top three

Wellows1 of 51Not in the top three

AI Search Sensor1 of 50Not 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 ProductRank.ai. 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 ProductRank.ai and are not a share of its labels.

Domains cited

airops.com1

alhena.ai1

amsive.com1

blog.hubspot.com1

flint.com1

forbes.com1

gracker.ai1

hubspot.com1

iqnection.com1

kime.ai1

No domain is on file for ProductRank.ai, so its own site is not marked.

Pages cited

airops.com/blog/answer-engine-optimization-tools1

alhena.ai/blog/best-ai-visibility-tools-b2b1

amsive.com/insights/seo/answer-engine-optimization-aeo-evolving-your-seo-strategy-in-the-a1

blog.hubspot.com/marketing/answer-engine-optimization-tools1

blog.hubspot.com/marketing/generative-engine-optimization-small-business1

flint.com/articles/best-ai-visibility-tracking-tools1

forbes.com/sites/terdawn-deboe/2025/11/24/how-small-businesses-get-found-when-customers-as1

gracker.ai/blog/best-ai-visibility-tools-b2b-saas1

Pages are listed as the models cited them.

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 ProductRank.ai'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 ProductRank.ai, 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 the vendor's own domain 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.