Blog
Research, methods and practical observations about how companies become easier for AI systems to understand, cite and recommend.
A practical guide to structuring GEO / AEO pricing, packages and scope without unrealistic promises, using clear blocks that humans and answer engines can understand.
A practical guide to creating GEO / AEO content based on first-hand expertise, methodology and owned evidence, not generic copy any AI system could summarize.
A practical guide to preparing pages, proof and measurement when AI compares providers and decides which brands are worth recommending.
A practical method for maintaining candidate pages, sources, structured data and trust signals so generative engines do not cite outdated information.
A practical guide to building AI visibility reports that combine prompts, citations, sources, Search Console, Bing and business decisions without false promises.
A practical guide to turning brand mentions, external sources and authority proof into useful signals for generative engines and answer engines.
A practical method for turning an AI visibility audit into a GEO / AEO roadmap prioritized by impact, effort, trust and conversion value.
A practical guide to turning commercial claims into verifiable proof, citable sources and trust signals for generative engines and answer engines.
A practical guide to building an entity factsheet that helps ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews understand, verify and cite a brand.
A practical method for analyzing AI-generated answers, checking citations, finding omissions and prioritizing content, source and crawling improvements for GEO / AEO.
A practical guide to building owned and external source graphs that help generative engines, conversational assistants and answer engines trust a brand.
A practical guide to understanding query fan-out in AI search and turning it into a content, internal linking and citable-source strategy for GEO / AEO.
A practical guide to turning pages and articles into clear, verifiable answer blocks that generative engines, conversational assistants and answer engines can cite.
A practical guide to turning conversational questions into an intent, topic, page and source map that improves brand visibility in generative engines and answer engines.
A practical guide to measuring citation share in AI answers, comparing your brand with competitors and turning that visibility into content, source and business priorities.
A practical method to detect, diagnose and correct inaccurate ChatGPT, Gemini, Perplexity, Claude, Copilot or AI Overviews answers about a company.
A practical guide to using structured data in a GEO / AEO strategy: what to mark up, how to avoid contradictions and how to help generative engines and answer engines.
A practical guide to using llms.txt within a GEO / AEO strategy: what to include, where its limits are, and how to connect it with citable content, robots.txt and measurement.
A practical guide to choosing, grouping, and measuring prompts that reveal whether a brand appears, is cited, and is recommended in generative engines and answer engines.
A practical guide to turning service pages into clear, citable, useful sources for generative engines, answer engines and clients comparing providers.
A practical guide to turning a website into a more reusable source for answer engines through first-party proof, entity signals, external sources, and real measurement.
A practical guide to aligning text, images, video, and accessible semantics so pages are easier to cite in AI answers while also strengthening organic SEO.
A practical guide to turning local service pages into citable AEO assets through local proof, clear structure, non-commodity content, aligned formats, and real measurement.
A practical guide to using Google's new generative reports alongside Bing AI Performance, ChatGPT referral traffic and technical observability to prioritize content, access and business impact.
A practical guide to turning agent readiness into a real AEO and SEO advantage through access, canonicals, structured data, markdown delivery, response status and measurement.
A practical guide to using generative visibility reports, citations and technical access as one prioritization system for AEO and SEO.
A practical guide to building pages that are easier to cite in Google, Bing, ChatGPT and Claude through semantic clarity, evidence, deduplication and agent-friendly formats.
A practical guide to measuring answer-engine visibility with real signals: Google generative AI impressions, Bing citations, ChatGPT referrals and crawl-quality logs.
A practical AEO guide to separating training bots, search bots, and user-triggered fetches so you can protect your content without disappearing from AI search.
A practical guide to separate noise from useful AEO work: technical access, citable content, source graph coverage and metrics that actually support decisions.
Founded in 2000, Blobic has always worked behind agencies, white label. Today it adds the service the AI era demands: AEO — visibility in ChatGPT, Claude, Gemini and Grok.
Half a million bot requests in two days, a universal soft-404 and a business center in Elda: the first lessons from Blobic's public AEO laboratory.
