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How popular isTensorFlow Recommenders?

In September 2026, people searched for TensorFlow Recommenders by name about 110 times worldwide, a 77.1% decrease from the previous year. These searches made up 0.13% of all global recommendation engine platform searches, placing TensorFlow Recommenders eighth out of eight platforms. When we asked both ChatGPT and Google AI Overviews about recommendation engine platforms, TensorFlow Recommenders appeared in two of the five answers and was the sixth most recommended of the eight.

Search and AI answers in September 2026

TensorFlow Recommenders is the eighth most searched of 8 competitors and the sixth most recommended in AI answers.

  1. AlgoliaShare of searches 51.1%Mentioned in 3 of 5 AI answersPlace in AI recommendations 3rd
  2. BloomreachShare of searches 21.6%Mentioned in 2 of 5 AI answersPlace in AI recommendations 5th
  3. CoveoShare of searches 17.6%Mentioned in 0 of 5 AI answersPlace in AI recommendations –
  4. Dynamic YieldShare of searches 5.3%Mentioned in 2 of 5 AI answersPlace in AI recommendations 4th
  5. TensorFlow RecommendersShare of searches 0.13%Mentioned in 2 of 5 AI answersPlace in AI recommendations 6th

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Top recommendation engine platforms in ChatGPT and Google AI Overviews

In three ChatGPT questions and two Google AI Overviews, TensorFlow Recommenders was mentioned in two out of five: in two of the three ChatGPT answers, but not in either of the two Google AI Overviews. TensorFlow Recommenders is the sixth most recommended of the eight.

Most recommended by AI

Brands get a higher ranking if they are mentioned earlier in the answers.

  1. Amazon Personalize1st
  2. Recombee2nd
  3. Algolia3rd
  4. Dynamic Yield4th
  5. Bloomreach5th
  6. TensorFlow Recommenders6th
  7. Constructor7th
  8. Coveo–

Mentioned by AI

Each dot is one answer, filled in when that answer mentions the brand.

  • Amazon Personalize4 of 5Named in 3 of 3 ChatGPT answersNamed in 1 of 2 Google answers
  • Recombee4 of 5Named in 3 of 3 ChatGPT answersNamed in 1 of 2 Google answers
  • Algolia3 of 5Named in 3 of 3 ChatGPT answersNamed in 0 of 2 Google answers
  • Bloomreach2 of 5Named in 1 of 3 ChatGPT answersNamed in 1 of 2 Google answers
  • Dynamic Yield2 of 5Named in 2 of 3 ChatGPT answersNamed in 0 of 2 Google answers
  • TensorFlow Recommenders2 of 5Named in 2 of 3 ChatGPT answersNamed in 0 of 2 Google answers
  • Constructor1 of 5Named in 1 of 3 ChatGPT answersNamed in 0 of 2 Google answers
  • Coveo0 of 5Named in 0 of 3 ChatGPT answersNamed in 0 of 2 Google answers

See every answer about recommendation engine platforms

5 answers

Not named in any answer:

Brands are shown in the order each answer named them. The survey took place in the United States on October 21, 2026.

Which recommendation engine platforms compete with TensorFlow Recommenders?

TensorFlow Recommenders against recommendation engine platforms worldwide, by month

Share of searches by month for Algolia, Bloomreach, Coveo, Dynamic Yield, TensorFlow Recommenders. The figures are in the table below the chart.

View monthly share of searches table
MonthAlgoliaBloomreachCoveoDynamic YieldAmazon PersonalizeConstructorRecombeeTensorFlow Recommenders
Oct 202554%18.1%14.8%6.7%2.9%1%1.9%0.48%
Nov 202557.4%16%13.1%7.2%3.1%1.1%1.7%0.42%
Dec 202556.7%15.6%15.6%5.7%3.1%1.3%1.7%0.41%
Jan 202655%18.7%15.3%5.6%2%1.3%1.7%0.33%
Feb 202652.2%21.4%14.3%6.4%2.2%1.5%1.5%0.31%
Mar 202653.5%18.2%14.9%8.2%1.9%1.3%1.6%0.26%
Apr 202656.7%19.3%12.9%5.8%2%1.1%1.7%0.51%
May 202654.3%18.5%15.1%6.8%2%1.1%1.6%0.6%
Jun 202654.1%18.5%15.1%6.8%2%1.2%1.2%1.1%
Jul 202653.4%18.2%18.2%5.5%2%1.1%1.2%0.48%
Aug 202657%19.7%13.1%5.9%1.7%1.2%1.3%0.12%
Sep 202651.1%21.6%17.6%5.3%1.9%1.2%1.2%0.13%
  1. 1.Algolia

    51.1%

    Held 1st. 42.9K estimated branded searches, 0% vs prior month. Share -5.9 points.

  2. 2.Bloomreach

    21.6%

    Held 2nd. 18.1K estimated branded searches, +22.3% vs prior month. Share +1.9 points.

  3. 3.Coveo

    17.6%

    Held 3rd. 14.8K estimated branded searches, +49.5% vs prior month. Share +4.5 points.

  4. Held 4th. 4.4K estimated branded searches, 0% vs prior month. Share -0.6 points.

  5. Held 5th. 1.6K estimated branded searches, +23.1% vs prior month. Share +0.2 points.

  6. Moved from 7th to 6th. 1K estimated branded searches, +13.6% vs prior month. Share 0 points.

  7. 7.Recombee

    1.2%

    Moved from 6th to 7th. 1K estimated branded searches, 0% vs prior month. Share -0.1 points.

  8. Held 8th. 110 estimated branded searches, +22.2% vs prior month. Share 0 points.

Compare popularity between TensorFlow Recommenders and its closest rivals

Every comparison with TensorFlow Recommenders

7 comparisons

How has branded search demand for TensorFlow Recommenders changed worldwide over the last 12 months?

2 findings
  • Across the 12 months ending September 2026, estimated monthly branded searches for TensorFlow Recommenders worldwide fell from 480 to 110.
  • Across the 12 months ending September 2026, TensorFlow Recommenders’ share of searches among recommendation engine platforms worldwide held steady, from 0.48% to 0.13%.

How did search popularity change for recommendation engine platforms worldwide in September 2026?

6 changes
  1. In September 2026, Coveo gained share of searches among recommendation engine platforms worldwide, from 13.1% to 17.6%.

  2. In September 2026, Bloomreach gained share of searches among recommendation engine platforms worldwide, from 19.7% to 21.6%.

  3. In September 2026, Algolia lost share of searches among recommendation engine platforms worldwide, from 57% to 51.1%.

  4. In September 2026, Dynamic Yield lost share of searches among recommendation engine platforms worldwide, from 5.9% to 5.3%.

  5. In September 2026, Constructor rose from 7th to 6th among recommendation engine platforms worldwide.

  6. In September 2026, Recombee fell from 6th to 7th among recommendation engine platforms worldwide.

How are TensorFlow Recommenders’ branded searches counted?

1 search term

Brandwave collects information about searches that people make online using TensorFlow Recommenders’ name. When viewed over time, estimated search volumes for this branded term can be used to understand whether interest in the brand is growing, holding steady, or fading.

  • tensorflow recommenders

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How the Brand Demand Index is measured

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Is TensorFlow Recommenders your brand?

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