FAQ sections for GEO / AEO: how to create answers AI can cite
A practical guide to designing FAQ sections and answer blocks that help ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews understand and cite a brand.
Blog
Field notes on AI visibility.
Research, methods and practical observations about how companies become easier for AI systems to understand, cite and recommend.
Hreflang, canonical and sitemaps in GEO / AEO: how to stop AI citing the wrong language
A practical guide to aligning bilingual pages, canonical tags, hreflang, sitemaps and internal links in a GEO / AEO strategy for AI-generated answers.
GEO / AEO snippet controls: how to gain AI visibility without losing control
A practical guide to using indexation, robots.txt, nosnippet, data-nosnippet and max-snippet in a GEO / AEO strategy without blocking useful citations.
GEO / AEO candidate pages: how to choose the URL AI should cite
A practical method for choosing the candidate page that should support each AI answer, reducing cannibalization and connecting prompts, intent, proof, internal links and conversion.
GEO / AEO case studies: how to turn real outcomes into proof AI can cite
A practical guide to structuring GEO / AEO case studies with context, evidence, limits and outcomes that help generative engines and answer engines trust a brand.
ChatGPT referral traffic in GEO / AEO: how to measure it without confusing visits with visibility
A practical guide to measuring referral traffic from ChatGPT and other answer engines inside a GEO / AEO strategy, separating sessions, citations, prompts, impressions and leads.
GEO / AEO pricing: how to explain scope, value and limits so AI understands your service
A practical guide to structuring GEO / AEO pricing, packages and scope without unrealistic promises, using clear blocks that humans and answer engines can understand.
Non-commodity content for GEO / AEO: how to provide proof AI can cite
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.
GEO / AEO for comparison queries: how to make your brand a recommendable option
A practical guide to preparing pages, proof and measurement when AI compares providers and decides which brands are worth recommending.
GEO / AEO content maintenance: how to stop AI citing outdated pages
A practical method for maintaining candidate pages, sources, structured data and trust signals so generative engines do not cite outdated information.
GEO / AEO client reports: what to show and what not to promise
A practical guide to building AI visibility reports that combine prompts, citations, sources, Search Console, Bing and business decisions without false promises.
Brand mentions in GEO / AEO: how to earn external validation without spam
A practical guide to turning brand mentions, external sources and authority proof into useful signals for generative engines and answer engines.
GEO / AEO roadmaps: how to prioritize actions by business impact
A practical method for turning an AI visibility audit into a GEO / AEO roadmap prioritized by impact, effort, trust and conversion value.
GEO / AEO trust matrices: what proof AI needs to cite your brand
A practical guide to turning commercial claims into verifiable proof, citable sources and trust signals for generative engines and answer engines.
GEO / AEO entity factsheets: how to help AI understand and cite your brand
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.
GEO / AEO AI answer audits: how to turn a citation into actions
A practical method for analyzing AI-generated answers, checking citations, finding omissions and prioritizing content, source and crawling improvements for GEO / AEO.
Source graphs in GEO / AEO: how to prove a brand deserves to be cited
A practical guide to building owned and external source graphs that help generative engines, conversational assistants and answer engines trust a brand.
Query fan-out in GEO / AEO: how to cover the subquestions behind AI search
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.
GEO / AEO answer blocks: how to write content AI can cite
A practical guide to turning pages and articles into clear, verifiable answer blocks that generative engines, conversational assistants and answer engines can cite.
GEO / AEO intent maps: how to organize prompts, topics and pages so AI can cite your brand
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.
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.
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.