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Search: August 2026

The final August 2026 standings for “What should I use for search in my app?”. These numbers are fixed and can be cited by permalink. See the current standings.

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AI share of voice · August 2026

730 sampled answers · 11 models

  1. 1Algolianew32.9%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Gemini 3.6 Flash · Llama 3.3 70B · GLM 5.2—
  2. 2Elasticsearchnew30.8%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Gemini 3.6 Flash · Llama 3.3 70B · GLM 5.2—
  3. 3Meilisearchnew27.1%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Gemini 3.6 Flash · Llama 3.3 70B · GLM 5.2—
  4. 4Typesensenew26.3%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Gemini 3.6 Flash · Llama 3.3 70B · GLM 5.2—
  5. 5OpenSearchnew19.9%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Gemini 3.6 Flash · Llama 3.3 70B · GLM 5.2—
  6. 6Vespanew4.2%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gemini 3.6 Flash · Llama 3.3 70B · GLM 5.2—

Share of voice weights each compared model equally: it is the average, across the models, of how often each one named the tool in its own answers, so a model probed more than another can't skew it. Model chips list which AI models named it this month; the pulse is the sentiment of that month's developer mentions across Hacker News, Reddit, GitHub, Stack Overflow, Bluesky and more.

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Averaged equally across 11 AI models, Algolia is named in 32.9% of answers about search (9 of 11 name it).
Source: BackTalk AI Recommendation Standings, August 2026 · backtalk.sh/ai-recommends/search/2026-08
The 3 prompts behind these standings
  • ›What should I use for search in my app? (recommendation)
  • ›What are the best Algolia alternatives? (alternatives)
  • ›Which search engine is best for a small app? (recommendation)

Each prompt is sampled several times per model per probe because answers vary run to run; 730 answers across 8 probe runs fed this month.