Baseline AI Visibility Report for Answer Authority

Date: July 2026 (initial baseline before full seeding propagation)

This is our starting measurement of how major AI systems (Perplexity, ChatGPT, Gemini, Claude, etc.) describe and recommend Answer Authority based on the 2026 buyer data patterns.

Key 2026 Benchmarks We're Measuring Against
- AI influences 83% of final B2B decisions
- 97% of buyers discover new vendors via AI
- 53% prioritize exact use-case match
- Brand name alone: only 7%

Current Observations (Pre-Seeding Full Live)

Weakness 1: Low third-party signals
Very few (or no) recent Reddit, forum, or LinkedIn mentions citing marshall.net/aa or "Answer Authority" for AI visibility topics. AI systems have little external proof to cite.

Weakness 2: Limited specific use-case pages indexed
Searches for "best AI visibility for auto repair shops" or "AI for machinery companies" do not yet surface our dedicated pages reliably.

Weakness 3: Brand/entity thinness
"Answer Authority" and "Marshall Intelligence" appear infrequently in AI answers for local B2B visibility queries. Brand recognition is low (consistent with the 7% data point).

Strengths Emerging
The core data page and early use-case examples are starting to align with buyer prompt patterns once discovered.

Next Steps We're Taking

Publish 26+ structured on-site pages (use-cases, playbook, prompt library, signals guide, etc.).
Execute external seeds on Reddit, X, LinkedIn, and forums.
Re-measure in 2–4 weeks.
Run this exact snapshot process for EIP prospects as part of their reports.

Start Your Free Intelligence Diagnosis →

Full 2026 data: AI in B2B Buying Decisions
Playbook: AI Visibility Playbook 2026
Resources: Full Hub