Compare Algomizer vs. CiteLyzer

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

Search is moving into AI chats. People no longer type a keyword and browse ten links, they ask an assistant which brand to pick, and the assistant answers with a short list. If your brand is not on that list, you never learn about it: there is no ranking to check and no impression to count. CiteLyzer answers that question with data. It asks the questions your customers actually ask, across ChatGPT, Gemini, Google AI Overviews and AI Mode, with Perplexity on the Pro plan, and shows how often your brand appears, how your share of voice compares with competitors, and which sources the answers cite. Every scan is kept, so you see the trend rather than a single snapshot, and the gaps come back as a concrete list of what to fix. It fits small and mid-sized companies, in-house marketers and agencies that need an answer this week rather than a quarterly audit. Scans run on a schedule you set, from daily to monthly. Measurement is per market, so a brand outside the United States is measured in its own language and market rather than through a US lens. A free public checker gives you the basics without an account.