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Marketing engineer Paul Andre de Vera launches QueryFanOuts, a free query fan-out tool for AI-search content planning

07-24-2026 11:24 PM CET | IT, New Media & Software

Press release from: Getnews

/ PR Agency: PR Stacks
Marketing engineer Paul Andre de Vera launches QueryFanOuts,

Image: https://www.globalnewslines.com/uploads/2026/07/1784912922.jpg

The free tool turns Google Search Console data into fan-out queries, content gaps, topic clusters, and prioritized recommendations
Enterprise SEO consultant and digital marketing strategist Paul Andre [https://paulandre.com] de Vera today announced the launch of QueryFanOuts [https://www.queryfanouts.com/], a free query fan-out tool that transforms Google Search Console data into an actionable content roadmap for AI search.

QueryFanOuts helps marketers uncover the sub-questions and related searches that Google AI Overviews, ChatGPT, Perplexity, and other answer engines may explore before generating an answer.

Instead of treating a keyword as one isolated search, the platform identifies the broader questions, comparisons, use cases, and supporting topics connected to it. Marketers can use those insights to strengthen existing pages, create new content, and improve their chances of being retrieved and cited by AI systems.

The tool is free and requires no tracking pixel, website crawler, or paid data subscription. Users export their Queries CSV from Google Search Console, upload it to QueryFanOuts, and receive an organized analysis within seconds.

" Traditional SEO tools show where a page ranks, but rankings do not explain the full AI-search journey ," said de Vera. " A person may ask one question while an answer engine researches several related questions before choosing which sources to cite. QueryFanOuts helps marketers see those hidden opportunities and turn them into a practical content plan. "

Query fan-out changes how content earns AI visibility

Query fan-out is the process of expanding an original search into multiple related queries. An AI system can use those sub-queries to collect information from several sources before combining the findings into one response.

A search for "best enterprise SEO software," for example, may lead to additional searches about:

Enterprise SEO platform features Pricing and contract options Reporting capabilities Technical integrations Security requirements Implementation timelines Customer reviews Competitor comparisons Industry-specific use cases

A website may rank for the main keyword but still be left out of the generated answer. Its content may not contain the specific passage, comparison, example, or supporting fact needed for one of the related searches.

The free query fan-out tool helps marketers identify those potential gaps before they create or update content.

QueryFanOuts turns existing search data into an actionable roadmap

QueryFanOuts starts with data that businesses already own.

Google Search Console shows the queries for which a website receives impressions, clicks, and rankings. These queries provide a strong starting point because they represent topics Google already associates with the website.

The platform turns the raw Search Console export into:

Related fan-out queries Natural-language sub-questions Search intent categories Topic clusters Query variants Content-gap scores Prioritized recommendations Pillar page and supporting content ideas

The recommended workflow is straightforward:

Export the Queries report from Google Search Console. Upload the CSV to QueryFanOuts. Review the generated fan-out queries and intent categories. Compare the findings with existing website content. Identify missing sections, pages, and supporting topics. Prioritize opportunities that match the business's expertise. Convert the recommendations into content briefs.

The platform is designed to work alongside Google Search Console, GA4, Ahrefs, Semrush, and traditional rank-tracking platforms. It adds an AI-search planning layer rather than replacing the tools marketers already use.

" Your Search Console data already contains clues about what your audience wants," de Vera said. "The problem is that most exports become large spreadsheets with no clear next action. QueryFanOuts decodes that data so a strategist can move from analysis to a writer-ready brief in minutes. "

The platform produces content briefs instead of another dashboard

QueryFanOuts was created to help marketers make publishing decisions, not simply generate another collection of charts.

The output helps content teams answer practical questions such as:

Which existing page should be expanded first? Which related question needs a dedicated section? Which search intent deserves a separate article? Which topics belong in an FAQ? Which comparison pages should the company create? Which content gaps may limit AI citations? Which opportunities support both SEO and AEO goals?

A broad topic may become a pillar page. Supporting sub-queries may become focused sections, FAQ answers, comparison pages, use-case content, definitions, or separate articles.

The goal is not to create a thin page for every keyword variation. The goal is to understand the complete research path and publish useful content that answers related needs.

QueryFanOuts supports SEO, AEO, and MUVERA optimization

QueryFanOuts was built for marketers adapting traditional search engine optimization to Answer Engine Optimization.

AEO focuses on making content easy for AI systems to retrieve, understand, validate, and cite. This requires more than adding keywords to a page. Content must provide clear answers, specific evidence, focused passages, and logical relationships between topics.

The tool encourages teams to create content with:

Declarative headings that state what each section covers Direct answers near the beginning of each section Self-contained passages focused on one idea Natural-language questions and answers Consistent terminology Specific examples, entities, and supporting evidence Clear connections between pillar and supporting content

This structure also supports MUVERA-oriented and multi-vector retrieval workflows, where individual passages may be evaluated for relevance to different queries.

A page can therefore target one primary subject while providing several focused passages that answer specific fan-out questions.

QueryFanOuts expands an ecosystem of free search resources

QueryFanOuts is the latest property in de Vera's growing ecosystem of free search marketing tools and educational websites.

AEO.so [https://www.aeo.so]helps marketers learn Answer Engine Optimization, explore practical tactics, and test methods for improving visibility in AI-generated search experiences.

SearchQualityRater. [http://www.SearchQualityRater.com] com [http://www.SearchQualityRater.com]helps SEO and content teams better understand usefulness, trust, search intent, content quality, and the principles associated with strong search experiences.

QueryFanOuts connects those lessons to content planning by helping marketers decide what to create next based on their own Google Search Console data.

De Vera also published a LinkedIn article titled " I [https://www.linkedin.com/posts/paulandre_seo-aeo-geo-ugcPost-7486055620585062401-b9Y_/] built a free query fan-out tool because AI search changed the questions marketers need to answer [https://www.linkedin.com/posts/paulandre_seo-aeo-geo-ugcPost-7486055620585062401-b9Y_/]. The article shares the founder story behind the platform and explains how query fan-out connects SEO, AEO, content quality, and MUVERA optimization.

" AEO.so helps marketers learn how to optimize for answer engines, SearchQualityRater.com helps them evaluate content quality, and QueryFanOuts helps them decide what to publish next, " said de Vera. " Each property addresses a different part of the same problem. "

Paul Andre de Vera brings more than 20 years of search experience

De Vera is an enterprise SEO consultant, digital marketer, technology builder, and host of the SEO Video Show.

He has spent more than 20 years helping businesses improve search visibility while teaching SEO professionals through interviews, experiments, tools, and public case studies.

He created QueryFanOuts after identifying a recurring gap in modern content workflows. Marketers had access to keyword databases, rankings, analytics, and Search Console data, but lacked a simple way to turn existing queries into an AI-search content roadmap.

" AI search does not erase the foundations of SEO ," de Vera said. " It changes how many questions a page may need to answer and how clearly those answers need to be structured. I built QueryFanOuts to help marketers adapt without adding another expensive subscription. "

QueryFanOuts is now available free

QueryFanOuts is available to SEO professionals, agencies, content strategists, writers, consultants, SaaS companies, and enterprise marketing teams.

Marketers can use the platform to:

Build an AI-search content roadmapFind related questions and missing subtopics Improve existing topic clusters Create more actionable content briefs Prioritize limited writing resources Identify potential AI-citation opportunities Connect traditional SEO data with AEO planning

Visit QueryFanOuts. com to upload a Google Search Console Queries CSV and begin using the free query fan-out tool.

About QueryFanOuts

QueryFanOuts is a free AI-search content planning tool created by Paul Andre de Vera. The platform turns Google Search Console query exports into fan-out queries, intent insights, topic clusters, content gaps, and prioritized recommendations. QueryFanOuts helps marketers connect traditional SEO data with AEO and AI-search content planning.

About Paul Andre de Vera

Paul Andre de Vera is an enterprise SEO consultant, digital marketing strategist, technology builder, and host of the SEO Video Show. He develops free tools and educational properties that help marketers understand how search, content quality, and AI-powered answer engines are changing digital discovery.
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