Airframe

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    Market report · Oct 2026

    Answer Engine Optimization

    32 vendors tracked and 321 case studies read: what teams report, who signs off, who is winning switches, and where vendors fall short.

    Market leaders

    Top Answer Engine Optimization vendors by known customers

    1. 1.AthenaHQ121 known customers · 10 case studies
    2. 2.Adthena106 known customers · 42 case studies · 1 documented switch won
    3. 3.AirOps87 known customers · 55 case studies · 2 documented switches won
    4. 4.Similarweb62 known customers
    5. 5.Brandlight50 known customers · 2 case studies
    6. 6.Profound44 known customers · 21 case studies
    7. 7.OtterlyAI44 known customers · 8 case studies
    8. 8.Peec AI43 known customers · 8 case studies
    9. 9.Scrunch AI40 known customers · 25 case studies
    10. 10.Gauge30 known customers · 16 case studies · 1 documented switch won

    Ranked by publicly known customers · Airframe, Oct 2026

    Loss reasons

    Why Answer Engine Optimization vendors lose deals

    • Tool acts as a monitor, not a strategy engine.
    • Modeled data differs from first party data.
    • Price exceeds value for small teams.
    • AI engine cover is narrow.
    • Prompt set is fake and misses real user prompts.

    Loss reasons across the category · Airframe, Oct 2026

    Buyer questions

    What buyers ask Answer Engine Optimization vendors

    1. How do you test our prompt set each day and show change over time?
    2. How do you show rank for our brand in AI answers by prompt and date?
    3. How do you cover ChatGPT, Gemini, Perplexity and Claude in one view?
    4. How do you show share for our brand across AI answers?
    5. How do you compare rank for our brand with rank for rivals?
    6. How do you list cited pages and cited domains for each answer?
    7. How do you show exact AI replies for audit and proof?
    8. How do you find gaps where rivals win and we lose?

    Most decisive first, from pre-purchase questions and RFPs · Airframe, Oct 2026

    Pricing

    Answer Engine Optimization pricing published by vendors

    • Signum (flat-rate): Pro $49/month; higher tiers by quote source
    • The Prompting Company (flat-rate): Basic $99/mo; Pro $299/mo; White glove $2,500/mo; higher tiers by quote source
    • OtterlyAI (flat-rate): Lite $29/month; Premium $489/month; higher tiers by quote source
    • Goodie AI (flat-rate): Core — brands $399/month; Pro — brands $999/month; Growth — agencies $275/month; higher tiers by quote source
    • Ahrefs Brand Radar (flat-rate): Custom Prompts — Basic $50/month; Custom Prompts — Growth $100/month; Custom Prompts — Scale $250/month; Ahrefs Lite $129/month; Ahrefs Standard $249/month; Ahrefs Advanced $449/month; Ahrefs Lite additional users $40/user/month; Ahrefs Standard additional users $60/user/month; Ahrefs Advanced additional users $80/user/month; Ahrefs Enterprise additional users $100/user/month source

    As listed on each vendor's own pricing page · Airframe, Oct 2026

    For buyers

    Buying answer engine optimization?

    The market at a glance

    • 32 vendors tracked
    • 321 case studies read
    • 260 buyers mapped

    Airframe, Oct 2026

    Who signs off

    • Marketing: 55
    • Operations: 7
    • CEO Office: 4
    • Product: 4

    Of 260 buyers mapped in this market · Airframe, Oct 2026

    Ask what matters

    • How do you test our prompt set each day and show change over time?
    • How do you show rank for our brand in AI answers by prompt and date?

    From the market's RFP question bank · Airframe, Oct 2026

    For vendors

    Who's winning your category?

    Who buyers choose

    • Writesonic: 125
    • AthenaHQ: 121
    • Semrush: 120
    • Adthena: 106

    Known customers per vendor · Airframe, Oct 2026

    What buyers ask for most

    • Citation source tracking: 61%
    • Competitor visibility benchmark: 70%
    • Multi engine coverage: 70%

    Share of vendors offering each · Airframe, Oct 2026

    Know why deals are lost

    • Tool acts as a monitor, not a strategy engine.
    • Modeled data differs from first party data.
    • Price exceeds value for small teams.

    Loss reasons across the category · Airframe, Oct 2026