All AI recommendations

    Best page speed tool, according to Claude and Perplexity

    We asked Claude and Perplexity a single buyer-style question and recorded what they named. This page shows the verbatim brand short lists each model returned, plus where the models agreed and what they cited.

    ChatGPTChatGPT
    GeminiGemini
    ClaudeClaude
    PerplexityPerplexity
    Measured July 29, 2026 Methodology

    Browse all 6 site performance tools in the directory

    Every tool in this category, each with its own AI-visibility footprint.

    The question we asked

    What's the best page speed testing tool for SEO?

    At a glance

    Distinct brands named

    8

    Across 2 of 4 models

    Cited by all four models

    0

    No universal consensus this run

    Named by only one model

    5

    63% of recommendations are model-specific

    Total citations

    14

    Source URLs returned by all models combined

    Brand by model coverage

    Every brand named by at least one model, with the position each model gave it. First-place positions matter most: they carry disproportionate weight in how readers remember and quote AI recommendations.

    BrandChatGPTGeminiClaudePerplexityModels
    Google PageSpeed Insights··112/4
    GTmetrix··232/4
    WebPageTest··322/4
    Lighthouse··4·1/4
    Google Lighthouse···41/4
    Pingdom··5·1/4
    Cloudflare Observatory···51/4
    Semrush Site Audit··6·1/4
    First-place mention Top 3 Lower position Not named

    What each AI model named

    ChatGPT

    ChatGPT

    Measurement pending

    This model has not yet been measured for this category. Next refresh will populate it.

    Gemini

    Gemini

    Measurement pending

    This model has not yet been measured for this category. Next refresh will populate it.

    Claude

    Claude

    6 named
    1. 1Google PageSpeed Insights
    2. 2GTmetrix
    3. 3WebPageTest
    4. 4Lighthouse
    5. 5Pingdom
    6. 6Semrush Site Audit

    Google PageSpeed Insights is the top recommendation for SEO because it directly uses Core Web Vitals data that Google uses for ranking. GTmetrix and WebPageTest offer deeper diagnostics and waterfall analysis. Lighthouse (built into Chrome DevTools) powers PageSpeed Insights and is excellent for local auditing. Pingdom provides straightforward performance monitoring, while Semrush Site Audit integrates speed issues into broader SEO workflows.

    Perplexity

    Perplexity

    5 named
    1. 1Google PageSpeed Insights
    2. 2WebPageTest
    3. 3GTmetrix
    4. 4Google Lighthouse
    5. 5Cloudflare Observatory

    For SEO, **Google PageSpeed Insights** is the best all-around choice because it is the most accessible and useful for Core Web Vitals, with both field and lab data. **WebPageTest** and **GTmetrix** are stronger for deep diagnostics, while **Lighthouse** is useful for technical audits. **Cloudflare Observatory** is best for ongoing real-user performance tracking.

    Where the models agreed

    3 brands were named by more than one model. AI models diverge often; cross-model agreement is a stronger signal than a single mention.

    BrandModels that named itBest position
    Google PageSpeed InsightsClaude (#1), Perplexity (#1)#1
    GTmetrixClaude (#2), Perplexity (#3)#2
    WebPageTestClaude (#3), Perplexity (#2)#2

    What this snapshot suggests

    For the question "What's the best page speed testing tool for SEO?", the 2 models reporting collectively named 8 distinct brands on July 29, 2026.

    Each model led with a different recommendation in many cases. Claude opened with Google PageSpeed Insights. Perplexity opened with Google PageSpeed Insights. The brand a model names first carries disproportionate weight, because first-place recommendations are the most likely to be remembered by readers and quoted by downstream AI agents.

    Treat this as a snapshot, not a definitive ranking. AI Overview content changes 70 percent of the time for the same query, and SparkToro found less than a 1-in-100 chance that two identical queries return the same brand list. The pattern across many runs is more informative than any single result. That is why Honeyb measures across a full prompt set on a schedule, rather than a single question, for the brands we monitor.

    If your brand appears here, the recommendation work is paying off. If it does not, the gap is measurable and improvable. The pillars of getting recommended by AI are documented in our guide to generative engine optimization.

    Source domains AI cited

    Most-cited domains across the four models. Stacked segments show which engine drove each citation. Perplexity and Claude expose citations consistently; ChatGPT and Gemini do so inconsistently, so absence does not mean a model used no source.

    rhinorank.io2 citations
    developers.google.com1 citation
    gtmetrix.com1 citation
    webpagetest.org1 citation
    developer.chrome.com1 citation
    webflow.com1 citation
    rankmath.com1 citation
    aioseo.com1 citation
    reddit.com1 citation
    o8.agency1 citation
    ChatGPTGeminiClaudePerplexity

    Full citation list

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