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friction AI Blog

Expert guides on AI Engine Optimization, LLM brand monitoring, and how to stay visible across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

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83 posts
Abstract illustration of a brand orb between a sparse and a dense field of glowing dots, representing the gap between a brand's own presence and dense third-party coverage
Original Research
June 2026
6 min read

The Coverage Gap: Why Your Own Website Barely Moves AI Recommendations

On recommendation queries, a brand's own domain is 0-3% of the sources AI cites. Recommendation runs on earned third-party coverage in your category. When that coverage doesn't exist, AI falls back to dictionaries, which is exactly what happens to New Balance in athleisure.

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Abstract illustration of a glowing bridge of light connecting two clusters with one orb crossing over, representing a brand bridging into an adjacent category
Original Research
June 2026
7 min read

Bridge Brands and Sub-Stream Strength: How Nike Crosses a Wall New Balance Can't

Nike and New Balance are both filed as footwear by AI, yet Nike gets recommended for athleisure 71.8% of the time and New Balance 3.4%. The difference isn't brand strength. It's Sub-Stream Strength: a dense body of category-aligned third-party coverage in the target category.

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Abstract illustration of a bright central orb surrounded by a constellation of smaller connected nodes, representing the prototype brand at the center of a category
Original Research
June 2026
6 min read

The Category Prototype: The Brand AI Thinks Defines Your Category

Every category AI recommends from is a cluster of brands mentioned together, with one brand at the center. For athleisure it's lululemon, named first in most answers (average position 1.64) and co-mentioned with Alo 534 times. To get recommended, you have to enter that cluster.

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Abstract illustration of a large glowing orb eclipsing a smaller identical one, representing a brand's name dominated by a bigger namesake
Original Research
June 2026
6 min read

The KG-Hijacked Entity: When AI Confuses Your Brand With a Bigger Namesake

If a larger company shares your name, its Knowledge Graph entry can eclipse yours, and AI describes the wrong company or skips you entirely. TALA, a UK athleisure brand, gets 0% category recommendations because its KG reads 'Financial services company.' Here's how to detect it and the one fix that works.

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Abstract illustration of a glowing orb being sorted into one of several category slots, representing how AI files a brand into a single category
Original Research
June 2026
8 min read

Category Coding: How AI Sorts Your Brand Before It Recommends You

AI assigns every brand one internal category, and a category query only considers brands in that box. Across 5 LLMs we tested, 9 of 12 brands were coded unanimously. Here's how to find your category code, and why you can't out-market it.

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Abstract illustration of two glowing brand orbs separated by a gap, one bright and one faded, representing the gap between being recognized and being recommended by AI
Original Research
June 2026
12 min read

Brand Strength Gets You Recognized, Not Recommended: What 14,140 AI Answers Reveal

A 5-LLM, 14,140-run study shows Knowledge Graph strength predicts whether AI recognizes your brand, not whether it recommends you. New Balance has the highest KG score in the set and a 3.4% recommendation rate.

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40 SaaS Brands, Two GPT Models. Only 12 Passed Layer 1. — friction AI
Original Research
April 2026
17 min read

40 SaaS Brands, Two GPT Models. Only 12 Passed Layer 1.

A 40-brand AI visibility cohort study across gpt-4o and gpt-5.2. Only 30% pass cleanly. The bottleneck isn't the model. It's the Knowledge Graph.

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Find Buyer Questions for AI Prompts: 4 Sources (2026) — friction AI
Monitoring & Measurement
April 2026
12 min read

Find Buyer Questions for AI Prompts: 4 Sources (2026)

Mine Reddit, sales calls, support tickets, and Quora for the real questions buyers type into AI. Step 4 of the 4-step AI visibility audit framework.

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Abstract illustration of a glowing magnifying lens over a grid of tiles, representing a systematic AI visibility audit across platforms
Monitoring & Measurement
April 2026
27 min read

AI Visibility Audit: 15-Prompt LLM Audit Framework (2026)

Audit brand visibility on LLMs in under an hour. 4-step AI visibility audit framework + 15 free LLM prompts for ChatGPT, Claude, Perplexity & Gemini.

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Abstract illustration of a glowing radar with concentric rings and connected platform nodes, representing tracking brand mentions across AI platforms
Monitoring & Measurement
April 2026
20 min read

Track Brand Mentions in ChatGPT, Claude & Perplexity (2026 Tools)

Track your brand in ChatGPT, Claude, Perplexity & Gemini. 45-min manual workflow plus tool comparisons. Step 2 of the 4-step AI visibility audit.

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How to Write AI Visibility Prompts: 12 Templates (2026) — friction AI
Monitoring & Measurement
April 2026
20 min read

How to Write AI Visibility Prompts: 12 Templates (2026)

12 ready-to-copy AI visibility prompts by use case — brand, sentiment, competitive, ICP-specific. Step 1 deep-dive of the 4-step audit framework.

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SEO and AEO Together: How to Run Both Without Doubling the Work
AEO & GEO Guides
April 2026
9 min read

SEO and AEO Together: How to Run Both Without Doubling the Work

How SEO and AEO work together in 2026. Shared signals, divergent tactics, and a practical workflow that runs both disciplines from one content calendar.

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