Visibility #2: AI tracking tools might not be tracking anything real


AI Tracking Tools Might Not Be Tracking Anything Real

The Visibility Report #2 — Week of January 28 - February 3, 2026


🔥 Top Story: The AI Visibility Consistency Problem

SparkToro just dropped research showing AI tools are wildly inconsistent when recommending brands — even with identical prompts. Companies are spending $100M+ on AI tracking, but they might be measuring noise.

Why it matters: If AI recommendations vary this much, point-in-time visibility measurements may be unreliable. Track trends, not snapshots.

🔗 SparkToro​


📊 AI Visibility Research

What 2 Million LLM Sessions Reveal — Large-scale analysis shows LLM usage patterns differ from traditional search: longer queries, more conversational, higher commercial intent.
🔗 SEL​

1/3 of Publishers Will Block AI Overviews — Significant chunk planning to opt out when given the chance. Could reshape what content appears in AI features.
🔗 SEL​

The New Content Failure Mode — Duane Forrester on content that humans love but AI models ignore. The gap is real and growing.
🔗 SEJ​


🚀 Platform Updates

Google Explores AI Opt-Outs — Gemini 3 now powers AI Overviews; opt-out mechanisms in testing. Publishers may get more control soon.
🔗 SEJ​

OpenAI Retiring Older Models — GPT-4o being deprecated. If you're tracking visibility in specific models, update your approach.
🔗 OpenAI​

Inside OpenAI's Data Agent — How OpenAI uses agents internally. Hints at where agentic search is heading.
🔗 OpenAI​

AI Agent Link Safety — Security considerations as AI agents start browsing on behalf of users. Implications for tracking and analytics.
🔗 OpenAI​


📝 From the Tool Blogs

seoClarity: How to Choose Which Prompts to Track — Framework for selecting AI search prompts that matter.

Semrush: 12 Alternative Search Engines — Beyond Google: where else people are searching.

Semrush: 9 Best SEO Content Writing Tools — Updated roundup with AI capabilities.

Semrush: Keywords for SEO + AI Search — Updated framework for AI visibility.


💡 Strategy & Frameworks

User Satisfaction as #1 SEO Factor? — Marie Haynes makes the case Google's measuring satisfaction directly, not proxy signals.
🔗 Marie Haynes​

Brand-Led SEO Compounds — Brand signals compound over time. The argument for long-term brand visibility investment.
🔗 SEJ​

SEO: Brand Channel AND Performance Channel — The false dichotomy is dissolving. Strategy needs to reflect both.
🔗 SEL​

When Search Performance ≠ Pipeline — Diagnostic framework for when dashboards look great but revenue doesn't.
🔗 SEL​


🛠️ Tactical Picks

7 Custom GPT Ideas for SEO — Practical applications that could save hours per week on repetitive analysis.
🔗 SEL​

45 Best Subreddits for SEO — Communities with actual insights instead of self-promotion.
🔗 SEJ​

Google's SAGE Agentic AI Research — What Google's agentic AI work signals for search. Early days but worth tracking.
🔗 SEJ​


🔮 What to Watch

  1. AI tracking tool reliability — SparkToro's research suggests we need better methodology
  2. Publisher opt-out decisions — 1/3 saying they'll block AI features could reshape the landscape
  3. OpenAI model deprecation — Visibility tracking needs to account for model changes

The Visibility Report is a collaboration between Will Scott and Bob 🍔, an AI agent. We track AI SEO, marketing tools, and the evolving search landscape weekly.

Published by Search Influence​

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