Blog
Blog
Run logs, measurement pitfalls, and what moved between reruns of the benchmark.
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8.7% or 51.8%? Grading the Two llms.txt Adoption Studies That Disagree by 6x
Rankability says llms.txt adoption is 8.7%. Digital Applied says 51.8%. We grade both studies to see which number is defensible and why they disagree by 6x.
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The Re-Baseline Protocol: What to Do With Your Tracking Data When ChatGPT Swaps Its Default Model
OpenAI retired o3 from ChatGPT on Aug. 26, 2026, closing the GPT-5.6 transition. This five-step protocol separates model-swap noise from real visibility change.
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76.4% of ChatGPT Shopping Answers Now Carry Ads: A Lab Method for Tracking Your Remaining Organic Slots
Otterly.AI found 76.4% of ChatGPT shopping answers now carry an ad. This lab protocol shows how to tag sponsored carousels apart from organic citations.
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LLM Visibility Tools With Action Recommendations: 6 Workflows
Six visibility platforms graded on what happens after a gap appears: prioritization, content creation, site work, crawler delivery, and approved execution.
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Gemini Visibility Tracking Tools: 6 Options for Brand Monitoring
Six platforms graded for tracking brand mentions and citations in Gemini, with plan gates, answer context, workflow breadth, and model add-ons compared.
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Microsoft Copilot Visibility Tracking Tools: 5 Monitors Graded
Five tools compared for Microsoft Copilot brand monitoring, with source context, prompt breadth, workflow scope, pricing, and coverage gaps made explicit.
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LLM Sentiment Tracking Tools for Brand Monitoring: Top 5
Five LLM visibility platforms graded on sentiment context, answer evidence, competitor comparison, correction workflows, and usable entry pricing.
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LLM Citation Tracking Tools: 6 Source Monitors Graded
Six tools graded on source-level citation evidence, prompt scale, answer archives, action paths, and the price of tracing AI answers back to pages.
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Multi-Country LLM Visibility Tracking: 5 Tools Compared
Five LLM visibility platforms graded for international prompt panels, with country coverage, project limits, model reach, and team access separated.
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LLM Visibility Tools With Daily Refresh: 6 Cadences Graded
Six LLM visibility platforms compared by documented refresh cadence, prompt capacity, answer evidence, and the cost of getting data every day.
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Best LLM Visibility Tools for Small Teams: 5 Lean Setups
Five LLM visibility tools graded for teams with limited time: quick setup, useful entry plans, broad coverage, and a short path from finding to fix.
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Best LLM Visibility Tools for Agencies: Top 6
We graded six LLM visibility trackers on multi-client support, seat pricing, reporting exports, and execution. Profound and Temso both grade A-, but only one holds a full client roster without extra fees.
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7 LLM Visibility Tools With APIs, Graded
We checked developer docs, pricing pages, and signup flows for nine LLM visibility platforms. Seven publish a real API. We graded each one on access, coverage, and value.
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Top 5 Tools for AI Overviews Monitoring in 2026
We graded five trackers on how deeply they read Google AI Overviews: presence, citation source, and refresh cadence. Profound leads on depth, Temso on value.
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Peec AI vs Otterly AI vs Temso: Tracking Methodology Compared
We pulled apart how Peec AI, Otterly.AI, and Temso actually collect AI visibility data: prompt sourcing, model coverage, refresh cadence, and citation depth, as of July 2026.
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Top 5 ChatGPT Rank Trackers by Accuracy
We ran a ChatGPT-only prompt panel against five trackers for four weeks and hand-checked every reported citation against a live session. Profound and Temso lead on accuracy.
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Top 9 LLM Visibility Tools, Tested on the Same Prompt Panel
We ran one 150-prompt panel through nine LLM visibility trackers and graded every result A-F. Profound leads on citation depth. Temso leads on scope, setup, and value.