| Core function | AlsoAsked (alsoasked.com) is a People Also Ask research tool created by Mark Williams-Cook. Core capability: enter a search query, and AlsoAsked scrapes Google's People Also Ask (PAA) boxes for that query and all PAA sub-questions recursively — building a visual tree of how Google's PAA questions branch from the seed query. For example, querying "heading tags seo" returns the immediate PAA questions Google shows, then the next-level PAA questions that appear when each of those is clicked, building a comprehensive map of related questions. Key features: (1) **PAA tree visualisation** — interactive tree diagram showing the hierarchical relationships between PAA questions; (2) **CSV export** — download all discovered questions as a spreadsheet for content planning; (3) **Multiple languages and countries** — query PAA data for different Google country/language combinations (useful for international content research); (4) **Seed multiple queries** — batch processing for researching multiple related topics simultaneously; (5) **Share links** — shareable URL for PAA trees to collaborate with team members or clients. Free tier: 3 searches per month. Paid plans (~$12–$49/month) provide unlimited searches, CSV export, and batch processing. | A crawl-based technical SEO and AI visibility auditor. Validates all structured data against Google's Rich Results specifications with property-level error detail, measures Core Web Vitals from real CrUX field data (not Lighthouse lab estimates), detects JavaScript rendering gaps, checks robots.txt and sitemap configuration, and scores GEO signals across five AI visibility criteria. Free with no signup. No PAA research, no keyword question data, no content planning features. |
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| People Also Ask research and FAQ content planning | AlsoAsked's core value is systematic PAA discovery — mapping what Google's PAA box shows for a topic and all recursive sub-questions. For FAQ content and structured data planning: the PAA tree provides a ready-made list of questions to include in FAQPage JSON-LD, FAQ sections on landing pages, and H2/H3 question headings throughout articles. The tree structure reveals how Google organises related questions hierarchically, which directly informs content section planning: top-level PAA questions become H2s; sub-level PAA questions become H3s. For AI visibility specifically, the PAA questions Google surfaces are exactly the types of questions AI systems (Perplexity, ChatGPT, Google AI Overviews) draw on when generating answers — creating content that directly answers PAA questions is a core GEO strategy. The CSV export enables bulk question research across topic clusters. | No PAA research or question discovery features. DeepSEOAnalysis's role in the FAQ workflow comes after content and FAQ schema are implemented: validating that FAQPage JSON-LD is correctly structured in the server-rendered HTML (property-level validation of Question/Answer structure, acceptedAnswer.text format, missing required properties), detecting if FAQPage schema is client-side rendered only (GTM injection gap), and measuring the question-heading ratio across the audited page (≥20% question-format H2s/H3s is the GEO visibility threshold). AlsoAsked identifies which questions to use; DeepSEOAnalysis validates they're correctly implemented. |
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| Structured data and AI visibility | AlsoAsked does not validate structured data, check JSON-LD implementation, or score AI visibility signals. It surfaces the question data that should be used to populate FAQPage schema and question-format headings, but does not validate the technical implementation of that schema after publishing. The workflow gap: teams use AlsoAsked to discover PAA questions, write FAQ content incorporating those questions, add FAQPage JSON-LD to the page — but have no tool in the AlsoAsked workflow to verify the JSON-LD was correctly implemented in the server-rendered HTML. | Property-level FAQPage JSON-LD validation: checks that every Question has the @type:Question, name (the question text), and acceptedAnswer properties; that acceptedAnswer has @type:Answer and text; that the text is 40–300 words (Google's eligibility range for rich results); and that the FAQPage schema is server-rendered in the initial HTML (not only in the client-side rendered DOM). Also validates the GEO score's question-heading ratio — whether the question list from AlsoAsked has been incorporated as question-format headings at ≥20% of H2s/H3s on the page. |
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| Core Web Vitals and performance | AlsoAsked does not measure Core Web Vitals or page performance. It is a research tool for content planning, not a technical auditor. | Real CrUX field data for Core Web Vitals — LCP, CLS, and INP at p75 from real user sessions. This is the data Google uses in Page Experience ranking signals — more reliable than Lighthouse lab estimates for diagnosing actual ranking impact from performance issues. |
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| Content planning and keyword research integration | AlsoAsked is specifically designed to integrate into a content planning workflow: enter a target keyword, get a PAA tree, export to CSV, and use the question list to structure content briefs, FAQ sections, and heading hierarchies. The tool is commonly used alongside keyword research tools (Ahrefs, Semrush) to add question-format content planning to keyword data. Mark Williams-Cook (creator) has documented PAA data as a leading indicator of featured snippet opportunities — questions that appear in PAA are often the same questions featured snippets answer. The international and multi-language PAA data makes it useful for localised content research. | No keyword research or content planning features. The connection to content planning: after implementing content based on AlsoAsked PAA data and structured data, use DeepSEOAnalysis to audit the published page and confirm the FAQPage schema, question-heading ratio, and technical implementation meet the thresholds for rich result eligibility and AI visibility scoring. |
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| Technical SEO audit | AlsoAsked has no technical SEO audit capabilities — no robots.txt analysis, no sitemap validation, no canonical tag checking, no JavaScript rendering gap detection, and no meta tag auditing. It is scoped to PAA content research. | Full crawl-based technical audit: canonical tag validation, robots.txt and sitemap analysis, JavaScript rendering gap detection (structured data in rendered DOM but absent from server HTML), meta tag completeness (title, description, OG tags, canonical), Core Web Vitals from real CrUX data, and AI visibility scoring across five GEO signals. Works on any publicly accessible URL with no installation required. |
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| Best fit | AlsoAsked is best for content strategists, SEO writers, and editors who need a systematic way to discover People Also Ask questions for a topic — to plan FAQ sections, question-format headings, and FAQPage structured data. It is a research and planning tool used before and during content creation. The $12/month paid plan is cost-effective for content-heavy teams who do regular keyword and question research. | Best for the technical validation layer after content is published: FAQPage JSON-LD property-level validation, question-heading ratio measurement, structured data server-rendering confirmation, real CrUX Core Web Vitals, and AI visibility scoring — free with no signup. Natural sequential workflow: AlsoAsked to discover PAA questions → incorporate questions into content, FAQPage JSON-LD, and H2/H3 headings → DeepSEOAnalysis to validate the implementation is correctly serving those questions as rich-result-eligible structured data. |
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