Picked vs. Algomizer

Picked is a software-as-a-service platform that enables brands to monitor their representation in both AI-generated and traditional search results. It tracks specific buyer queries across various platforms, including ChatGPT, Claude, Gemini, Perplexity, and Google AI, providing valuable insights into brand mentions, ranking positions, and referenced pages. By presenting visibility and content-gap analytics, marketing teams can identify where competitor brands are mentioned, while keyword-gap evaluations connect these buyer prompts to conventional search queries. Furthermore, Picked integrates AI crawler analytics via server or hosting logs, identifies directories and review sites referenced by AI systems, and assists in article planning and drafting to uncover potential content opportunities. Users can create individualized workspaces for various client brands and generate customized reports for agency clients. This platform primarily targets SEO and marketing agencies, as well as B2B software marketing teams, aiming to improve and monitor their presence in AI-driven discovery scenarios. With its extensive suite of features, Picked not only facilitates strategic optimization of online visibility but also helps brands adapt to the evolving AI-centric digital environment. Overall, it serves as a crucial tool for teams seeking to navigate and excel in the modern landscape of digital marketing.

Algomizer is a done-for-you AI search optimization agency for companies whose buyers have started asking AI models instead of search engines. The commercial problem is straightforward. When a prospect asks ChatGPT, Gemini, Perplexity or Claude which vendor they should consider, the model names a handful of companies. There is no second page. If you are not in that answer, you are not in the evaluation, and you will never see the lost opportunity in your analytics because the buyer never visited your site to begin with. Referral traffic from AI assistants converts at a far higher rate than organic search, because the model has already done the shortlisting. We handle the entire program rather than selling you a dashboard and leaving the work to your team. Engagements begin with measurement. We map the prompt space for your category, which is the full set of questions buyers actually ask on the path to a purchase decision, including comparison queries, alternatives queries and best-tool-for queries where purchase intent is highest. We measure your presence across that space engine by engine and benchmark it against your competitors to establish a share-of-voice baseline you can hold us to. From there we execute. That includes content and evidence engineering, technical implementation and structured data, original research built to be cited by models rather than skimmed by humans, digital PR to establish the third-party corroboration that engines look for before repeating a claim, and correction of inaccurate or outdated information models are currently repeating about your brand. Monitoring runs throughout. You see which prompts you appear in, how you are described, which competitors appear alongside you, and which specific pages each engine cited, with alerts when something regresses or a negative mention surfaces. Reporting ties back to the original baseline, so gains are attributable to specific prompts and specific commercial queries rather than