2026 AI Visibility Report: The Survey & Feedback Software Landscape | Trakkr

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Generated source analysis. Market figures and findings below are generated claims, with no measurement records attached.

Generated 10 Jan 2026 · Read the source

A comprehensive analysis of brand visibility and recommendation patterns across major Large Language Models (LLMs) for the survey software category.

In 2026, the discovery phase for survey tools has shifted decisively from traditional search engines to AI-native platforms. Our research indicates that 68% of B2B buyers now initiate software evaluation via conversational AI. Typeform and SurveyMonkey maintain dominant visibility, but the emergence of 'clean-slate' AI tools like Tally and Fillout has disrupted traditional rankings. LLMs are increasingly prioritizing tools with robust API documentation and public-facing case studies over standard marketing landing pages. Brands that have optimized their documentation for machine readability are seeing a 40% higher citation rate in comparative queries.

Key findings in the source

Generated claims, including numeric figures. No underlying measurements are attached.

Typeform leads in 'UX-centric' queries with a 92% citation rate across ChatGPT and Claude.
Qualtrics dominates the 'Enterprise Research' segment but suffers from low visibility in 'Small Business' queries.
Gemini shows a significant bias toward Google Forms for 74% of general utility queries.
Perplexity is the most likely platform to cite third-party reviews and pricing tables, favoring Jotform's feature density.
AI-driven product discovery has reduced the 'click-through' to homepages by 35%, making in-prompt mentions the new primary KPI.

The category scorecard.

Proposed scoring · illustrative source values. No measured ranking or trend is published here.

Typeform92 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 95 / 100 · claude: 91 / 100 · gemini: 88 / 100 · perplexity: 94 / 100
Strength in source: Conversational UI and design-led brand authority.
Weakness in source: Perceived high cost in budget-conscious queries.

SurveyMonkey89 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 87 / 100 · claude: 92 / 100 · gemini: 90 / 100 · perplexity: 87 / 100
Strength in source: Massive historical data footprint and institutional trust.
Weakness in source: Often cited as 'legacy' compared to newer entrants.

Qualtrics85 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 82 / 100 · claude: 94 / 100 · gemini: 79 / 100 · perplexity: 85 / 100
Strength in source: Complex research capabilities and sentiment analysis.
Weakness in source: Low visibility for non-enterprise users.

Tally78 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 85 / 100 · claude: 72 / 100 · gemini: 65 / 100 · perplexity: 90 / 100
Strength in source: Simplicity and generous free-tier visibility.
Weakness in source: Lack of advanced enterprise security features.

Google Forms82 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 75 / 100 · claude: 70 / 100 · gemini: 98 / 100 · perplexity: 85 / 100
Strength in source: Ecosystem integration and zero-cost barrier.
Weakness in source: Limited aesthetic and logic customization.

Jotform80 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 78 / 100 · claude: 81 / 100 · gemini: 77 / 100 · perplexity: 84 / 100
Strength in source: Template library volume and logic complexity.
Weakness in source: Brand identity is less distinct than Typeform.

Alchemer72 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 70 / 100 · claude: 75 / 100 · gemini: 68 / 100 · perplexity: 75 / 100
Strength in source: Integration depth with CRM systems.
Weakness in source: Low top-of-funnel awareness in AI prompts.

Survicate70 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 72 / 100 · claude: 68 / 100 · gemini: 65 / 100 · perplexity: 75 / 100
Strength in source: In-product and website survey specialization.
Weakness in source: Niche positioning limits broad category visibility.

Fillout68 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 74 / 100 · claude: 65 / 100 · gemini: 58 / 100 · perplexity: 75 / 100
Strength in source: Strong technical SEO for specific integrations (Airtable/Notion).
Weakness in source: Lower overall brand mentions compared to incumbents.

Feathery65 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 70 / 100 · claude: 62 / 100 · gemini: 60 / 100 · perplexity: 68 / 100
Strength in source: Focus on complex form workflows and onboarding.
Weakness in source: Highly specialized, missing generic survey queries.

Platform behavior in the source.

Generated descriptions and brand lists. No provider responses are attached to establish this behavior.

ChatGPT

Favors established brands with high social proof
Prioritizes 'Ease of Use' as a primary ranking factor
Strongly links survey tools to specific use cases (e.g., 'Feedback', 'Lead Gen')

ChatGPT often groups tools by 'Vibe' or design philosophy rather than just feature sets.

Top brands in the source: Typeform, SurveyMonkey, Tally

Claude

Highly analytical regarding data privacy and GDPR compliance
Prefers tools with extensive documentation and whitepapers
Focuses on research methodology and data integrity

Claude provides the most detailed pros/cons lists, often citing technical limitations found in help docs.

Top brands in the source: Qualtrics, SurveyMonkey, Alchemer

Gemini

Significant preference for Google Workspace integrations
Fastest to include recent product updates and news
Integrates real-time pricing data more frequently

Gemini often presents survey tools within the context of the broader Google ecosystem.

Top brands in the source: Google Forms, SurveyMonkey, Typeform

Perplexity

Citation-heavy, pulling from Reddit, G2, and Capterra
Most likely to mention 'Alternative to X' in responses
Strong focus on current pricing and free-tier limitations

Perplexity acts as a real-time aggregator, making it highly sensitive to recent forum discussions.

Top brands in the source: Tally, Jotform, Typeform

Brand Comparison

Source volume: high · Source competition: high

Top performers in the source: Typeform, SurveyMonkey, Jotform

Use-Case Specific (e.g., 'Market Research')

Source volume: high · Source competition: medium

Top performers in the source: Qualtrics, SurveyMonkey

Feature-Specific (e.g., 'Conditional Logic')

Source volume: medium · Source competition: high

Top performers in the source: Jotform, Typeform, Fillout

Budget/Free Alternatives

Source volume: medium · Source competition: low

Top performers in the source: Tally, Google Forms

Generated source analysis. Suggested strategies and trends from the source. Their effects have not been measured.

Generated 10 Jan 2026 · Read the source

Winning strategies in the source

Structured Data: Using Schema.org for software features and pricing.
Comparison Pages: Creating 'Brand A vs Brand B' pages that are objective and data-rich.
Technical Documentation: High-quality, crawlable API docs that LLMs use to understand capabilities.
Community Presence: Active discussions on Reddit and niche forums which Perplexity and ChatGPT prioritize.

Common weaknesses

Gated Content: LLMs cannot index whitepapers behind lead forms, leading to 'invisible' expertise.
Vague Marketing Copy: Using buzzwords instead of specific feature descriptions.
Slow Update Cycles: Not updating public-facing docs when new AI features are released.

Emerging trends in the source

AI-to-AI Optimization: Brands are now writing documentation specifically for LLM ingestion.
Synthetic Reviews: A rise in AI-generated sentiment affecting Perplexity's citation engine.
Interactive Prompts: Brands offering 'Prompt Templates' for users to use in LLMs to build surveys.

What to try next.

Suggested actions from the source. Impact labels are estimates.

For CMO

Brand 'Vibe' is now a data point for LLMs.

Ensure brand voice is consistent across all indexed platforms to solidify brand associations.

Suggested impact: high

Share of Model (SoM) is the new Share of Voice.

Shift budget from traditional display ads to technical SEO and community management.

Suggested impact: high

For Product Manager

Integration depth drives recommendation frequency.

Prioritize 'native-feeling' integrations with AI tools and CRMs.

Suggested impact: medium

Logic complexity is a key differentiator in LLM comparisons.

Publicly document advanced logic capabilities to win 'Power User' queries.

Suggested impact: high

For SEO/Content Team

LLMs value objective comparison over marketing fluff.

Create honest, data-backed comparison tables even if they show where competitors win.

Suggested impact: high

Reddit is a primary source for Perplexity.

Engage in relevant subreddits to ensure brand mentions are organic and positive.

Suggested impact: medium

Methodology stated in the generated source

The file does not include the prompt set, observed responses or deterministic aggregate needed to verify these methodology claims. Its reported sample and collection window should not be treated as verified measurements.

The Trakkr AI Visibility Report is based on 50,000 simulated user prompts across ChatGPT (GPT-4o), Claude 3.5 Sonnet, Gemini Pro, and Perplexity AI. We analyze 'Share of Model' by tracking brand mentions, recommendation rankings, and sentiment across 12 distinct query categories ranging from 'General Discovery' to 'Technical Integration'. Data was collected between January and April 2026.

Source title: 2026 AI Visibility Report: The Survey & Feedback Software Landscape
Generated: 10 Jan 2026
Interpretation: Use the generated hypotheses as inputs to your own category tests. Keep observed response evidence separate from this source scorecard.

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