Ankit Agarwal

Marketing Head

About the author

Ankit Agarwal is a growth and content strategy professional focused on building scalable content and distribution frameworks for AI productivity tools. He works on simplifying how marketers, creators, and small teams discover and use AI-powered solutions across writing, marketing, social media, and business workflows. His expertise lies in improving organic reach, discoverability, and adoption of multi-tool AI platforms through practical, search-driven content strategies.

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AI image editing

Filling the Gaps: How AI Image Editing Fits Into a Modern Content Workflow

Struggling with content bottlenecks? Discover how AI image editing tools streamline your creative workflow, save time, and elevate your visual storytelling.

September 28, 2026 6 min read

AI liability

AI Liability: 7 Ways Wrong AI Output Becomes Your Legal Problem

Seven mechanisms that move responsibility from the model to you - your chatbot's answer, your filings, your ad claims, claims about your AI, republished output, EU disclosure duties and platform rules.

September 27, 2026 13 min read

AI policy

AI Usage Policy Template for Content Teams

A paste-ready 10-clause policy, with each clause tied to the rule behind it - the AI Act's editorial-responsibility exemption, NIST's govern functions, Google's spam policy and FTC substantiation.

September 27, 2026 14 min read

brand reputation

9 Places AI Gets Your Company Facts From (And How to Fix Each)

The nine sources an assistant can draw a company fact from, what each provider documents about how it reaches a model, and which ones you can change — sorted by how much control you have.

September 26, 2026 13 min read

AI accuracy

Claude Hallucination Rate: What the Published Data Actually Shows

Three published measurements put Claude's hallucination rate at 9.8%, at 60.8%, and at 6% higher than the previous model. All three are correct, and none of them is the number.

September 26, 2026 13 min read

AI accuracy

Is ChatGPT Accurate? What the Published Research Measures

There is no single accuracy number. Published measurements for GPT-class models run from 7.6% to 62.5% on short-form facts and 3.1% to 23.3% on summary faithfulness, and each measures a different task.

September 25, 2026 11 min read

AI accuracy

The 10-Prompt AI Accuracy Test (Run It on Any Tool)

Ten prompts, a 20-point scoring sheet, and what each one probes — cutoff knowledge, false premises, abstention, citations, long-tail facts and consistency. Run it yourself on any assistant.

September 25, 2026 12 min read

brand reputation

The Canonical Facts Page: One Page That Gives AI Something to Cite

The 14 fields that belong on a canonical facts page, how to date and maintain it, where to link it from, and the one thing it cannot do.

September 24, 2026 12 min read

AI legal document workflow

Don’t File AI Drafts Blindly: The Safer SMB Workflow for Legal Docs

Discover a step-by-step SMB workflow to draft, review, and finalize AI-generated legal documents securely and accurately.

September 24, 2026 18 min read

AI accuracy

Claude Accuracy: How to Reduce Errors in Long Documents

Anthropic documents context rot, sentence-level citations and a quote-first pattern, and publishes no error rate. Four reasons long documents go wrong and six documented controls.

September 24, 2026 12 min read

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