Citation share in GEO / AEO: how to compare your brand against competitors
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.
Blog
Field notes on AI visibility.
Research, methods and practical observations about how companies become easier for AI systems to understand, cite and recommend.
How to fix wrong AI answers about your brand with GEO / AEO
A practical method to detect, diagnose and correct inaccurate ChatGPT, Gemini, Perplexity, Claude, Copilot or AI Overviews answers about a company.
Structured data for GEO / AEO: how to strengthen entity, services and citability
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.
llms.txt for GEO / AEO: how to guide AI without confusing it with a shortcut
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.
GEO / AEO prompt portfolios: how to measure real brand visibility in AI
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.
Service pages for GEO / AEO: how to prepare a website for conversational queries
A practical guide to turning service pages into clear, citable, useful sources for generative engines, answer engines and clients comparing providers.
AEO for entities: how to strengthen proof, sources, and citations so AI can trust your site
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.
Multimodal AEO: how to use images, video, and accessibility to earn visibility in AI search
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.
Local AEO: how to design service pages that Google, Bing, and ChatGPT can actually cite
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.
Search Console generative reports: how to turn AI impressions into real AEO priorities
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.
Agent-ready websites: the AEO layer that also improves your SEO
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.
AEO backlogs: how to turn Search Console and Bing AI Performance into priorities that actually move the business
A practical guide to using generative visibility reports, citations and technical access as one prioritization system for AEO and SEO.
Citable content for AEO: how to structure pages AI can understand and cite
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.
How to measure AEO without guessing: Search Console, Bing, ChatGPT and logs
A practical guide to measuring answer-engine visibility with real signals: Google generative AI impressions, Bing citations, ChatGPT referrals and crawl-quality logs.
AI crawlers for AEO: what to allow, what to block, and how to measure the tradeoff
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.
AEO without myths: which techniques still work and which metrics matter
A practical guide to separate noise from useful AEO work: technical access, citable content, source graph coverage and metrics that actually support decisions.
Blobic reinvents itself again: 26 years of white label, now for the AI era
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.
The local AEO lab: what a crawler trap taught us about AI visibility
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.