Compare Algomizer vs. Depra AI

Algomizer is an AI search optimization agency. We work on the retrieval layer that determines whether a language model mentions your product when someone asks it a question in your category. The mechanics differ from search engine optimization in ways that matter technically. A generative engine does not return a ranked list of documents. It issues one or more reformulated queries against a retrieval index, pulls back passages rather than pages, scores them for relevance and source credibility, and synthesizes an answer that may cite four sources out of several hundred retrieved. Page-level authority still contributes, but the unit that gets retrieved is the chunk, and a chunk that depends on surrounding context to make sense will be retrieved and then discarded. Most of our engineering work follows from that. We restructure content so passages are self-contained: explicit entity naming instead of anaphora, claims stated in full within the chunk, question-shaped headings aligned to actual query phrasing rather than to editorial style. We implement structured data properly, which in practice means Organization, Product, FAQPage and HowTo schema that validates and reflects what is actually on the page rather than schema bolted on for its own sake. We audit crawlability for AI user agents specifically, since GPTBot, ClaudeBot, PerplexityBot and Google-Extended are frequently blocked by robots.txt rules written years ago for a different threat model, or by CDN bot rules nobody has revisited. We implement llms.txt where it makes sense. The off-site half is corroboration. Models are more willing to state a claim about a company when that claim appears consistently across independent sources. That is addressable through original research designed to be cited, consiste

Depra AI serves as an innovative web-based tool designed to help consumer brands and their teams track visibility in AI search results, providing insights into how products are represented in AI-generated answers. By analyzing buyer queries through ChatGPT alongside web searches on platforms like Gemini, Google AI Overviews, and Perplexity, it systematically compiles answers and their corresponding sources for users to review. Users are able to assess brand mentions in relation to competitors while monitoring key metrics such as visibility, average position, sentiment, and share of voice, all while receiving tailored suggestions on enhancing their site’s presence in AI responses. The platform accommodates inquiries in both English and Hinglish across 40 different markets, offering robust reporting capabilities that include CSV exports and source citation analysis. Plans are designed to cater to individual brands, expanding teams, and agencies that manage several client projects simultaneously. Additionally, a read-only MCP server allows compatible AI applications to access workspace and project data seamlessly, further enhancing its utility for users. This comprehensive approach empowers brands to optimize their visibility and engagement in the evolving landscape of AI-driven search.