Share the page and the category to win, and Juma maps the answer blocks competitors own, then rewrites the brand's pages to take featured snippet slots.
Share the page URL and the category the brand needs to win in featured snippets, People Also Ask boxes, and Google AI Overviews. Juma maps which queries currently trigger a snippet, identifies the competitor winning each slot, audits the brand's existing pages against the answer-block patterns that AI engines actually surface, and ships paste-ready rewrites with FAQPage and HowTo schema in a branded PDF report. The rewrites land in the structure AI engines reward: the exact target question as an H2, a direct 40 to 60 word answer below it, and the supporting depth that keeps the page citable when the engines retrieve more context.
Name the brand, the category, and the two competitors most worth tracking, and Juma runs a SERP gap pass: it queries the AI engines and Google for the 10 to 15 long-tail questions buyers ask in the category, captures which result currently triggers a featured snippet, identifies the competitor winning each one, and ranks them by traffic potential. The output is a snippet-gap table that names the query, the winner, the brand's current rank, and the structural reason the winner gets the slot. Pair it with the audit rewrites for a complete "which queries to fight for, and how to fight" plan in one session.
Find every featured snippet and PAA box that Asana, ClickUp, and Monday are winning in the project management category right now. Show the query, the current winner, where Notion ranks, and rank the list by traffic potential so we know which to fight for first.
AI engines distinguish between citing a brand as a generic example and naming it as a recommendation. The first is a vanity citation; the second drives demos and trials. Juma runs prompt-sampling across ChatGPT, Perplexity, and Google AI Overviews for the brand's category, classifies every mention as "cited as example" or "recommended by name", audits the brand's AI-presence signals (Wikipedia, G2, third-party press, schema) against the brands that earn named recommendations, and ships a gap map plus a concrete content shipping list. Seer Interactive documented brands cited 100+ times as background sources while AI recommended competitors by name. That gap is where deal-driving AEO work lives.
ChatGPT cites Notion as a project management example but never recommends Notion by name. Show me the gap and what we need to ship to flip from cited-as-example to recommended-by-name.
Name the target query, the competitor currently winning, and the brand's existing page that should rank, and Juma fetches both pages, pulls the live AI Overview result to confirm what block is being surfaced, runs a gap analysis across definition clarity, structured headers, schema, E-E-A-T signals, list formatting, and crawlability, and ships a full rewrite of the brand's page. The rewrite includes the optimized hero definition, the H2 and H3 restructure, the feature lists, the FAQ schema, and inline trust signals. The output is ready to hand straight to the content team to publish.
Asana keeps winning the query "what is project management software" in Google AI Overviews. Audit what their answer block does that Notion's doesn't, and rewrite Notion's page to take the slot.
Drop in the URL and the questions the page should rank for, and Juma extracts the page's existing content, maps it to FAQPage and HowTo schema candidates, and produces paste-ready JSON-LD blocks for each. The output includes the schema markup, a validation note flagging any schema rules the existing content violates, and a recommendation on which schema type the page should lead with based on the search intent it targets. FAQPage suits "what is" and "how does X work" queries. HowTo suits step-by-step procedural content. Speakable schema applies to voice-assistant readiness when the team is targeting Alexa, Siri, or Google Assistant.
Generate FAQPage and HowTo JSON-LD schema for Notion's project management guide at https://www.notion.com/help/guides/project-management. Use the existing page content. Flag any structural issues that would block schema validation.
AEO is not only an on-page game. Per Muck Rack's 1 million-citation analysis, 82% of links cited by AI come from earned media, and 50% of a brand's AI citations come from just 20 outlets. Juma maps the specific outlets feeding ChatGPT, Perplexity, and Google AI Overviews for the brand's category, ranks them by citation frequency, classifies each by type (review site, industry publication, community thread, comparison guide, podcast network), and ships a prioritized earned-media investment list. The output names the specific publications to pitch first, the review sites to claim profiles on, and the Reddit subreddits to engage in. A focused 20-outlet plan moves the needle faster than broad-spread PR.
Map the 20 third-party outlets driving the most AI citations for project management software queries. Rank them by citation frequency across ChatGPT, Perplexity, and Google AI Overviews. Give us a prioritized earned-media plan with the specific outlet, citation type, and how we should approach each.
A Juma Project is a shared space where the team stores everything Juma needs to know about a client's AEO program. Create one project per client, add context as the program develops, and Juma uses what is relevant every time the team runs a flow. The more the team adds, the sharper every audit, rewrite, and schema generation gets.
Target Query List
The 15 to 20 specific questions buyers ask in the category, written in exact query format. "What is project management software?" not "project management." These are the queries that trigger featured snippets, PAA boxes, and AI Overview answers. With the list in the project, Juma reuses it every audit and tracks snippet-win trend over time.
Page Set
The 10 to 20 pages the team most wants to win AEO on, usually the FAQ pages, support docs, comparison pages, and "what is" content. Pair each URL with the query it should rank for. Juma runs the same audit set monthly and tracks dimension movement page by page.
Competitor Brand List
The two or three brands currently winning the snippets the team wants to displace, with each competitor's matching page URL. Juma uses this list for snippet-recapture audits and the cited-vs-recommended diagnostic so the gap analysis is always against the brands that actually matter.
Brand Voice Guide
Tone, vocabulary, banned words, and approved phrasings. Juma applies the voice to every rewritten answer block so the page stays on-brand while the structure changes for snippet eligibility.
Add a short description to each knowledge item in the project's info field so Juma knows what each file contains and when to use it. For example:
AEO targets Google's direct-answer surfaces: featured snippets, People Also Ask boxes, voice-assistant responses, and the structured answer blocks Google AI Overviews surface. GEO targets external LLMs like ChatGPT, Perplexity, and Claude, where the optimization vector is content authority plus entity signals rather than answer-block format.
The core lever for AEO is content structure: the exact target question as an H2, a 40 to 60 word direct answer below it, and the supporting depth that holds up under AI retrieval. The core lever for GEO is authority and entity signals: original data, cross-platform brand mentions, schema completeness, and consistency across Wikipedia, G2, and earned media. A page optimized for AEO is roughly halfway to GEO readiness. The remaining gap is entity clarity and third-party citation density.
Three primary outputs land in every audit: a snippet gap report showing which queries currently trigger featured snippets or PAA boxes, which competitor wins each slot, and where the brand's pages currently rank; paste-ready answer-block rewrites for the top three losing pages, structured for direct-answer extraction; and FAQPage or HowTo JSON-LD schema for each rewritten page, validated against schema.org.
Optional add-ons include the cited-vs-recommended gap map, the 20-outlet earned-media investment plan, and a Speakable schema audit for voice-assistant readiness. The branded PDF report bundles everything for handoff to client stakeholders. Per AirOps' 548,000-page ChatGPT retrieval study, pages in Google's top 10 get cited by ChatGPT around 43% of the time, which is why the audit prioritizes pages that already rank but lose the snippet slot.
Most snippet rewrites land in four to six weeks of being published, which is faster than the four to twelve weeks GEO rewrites typically take. Google refreshes featured snippet selections on its own crawl cycle, and AEO rewrites win or lose on structural signals that Google parses quickly: the exact target question as an H2, a clean 40 to 60 word answer below it, and FAQPage schema confirmation.
The timeline depends on the competitor's response and the freshness of the page. Per the 2025 Muck Rack analysis, 50% of cited content is less than 11 months old, and content published within the first 7 days gets the highest citation spike. That means timing the rewrite to a content refresh cycle, or pairing it with new earned-media coverage, accelerates the snippet win. Run the audit monthly to track when each rewrite lands and to spot when a competitor takes the slot back.
Yes. Save the target query list and the page set to the project, and Juma reruns the audit monthly, producing a comparable snippet-win scorecard each time. The report tracks query-level wins and losses, the competitor currently holding each slot, and the structural reason the brand is winning or losing.
Monthly cadence matters more than single-point-in-time audits because AI engines refresh content on their own cycles, competitors run their own AEO programs in parallel, and earned-media coverage shifts the underlying citation graph. The trend view shows whether the rewrites are landing, whether new third-party outlets are feeding the engines, and whether a competitor's recent content push has displaced the brand from a snippet or PAA box.
Yes. The AEO playbook works wherever the audience asks questions and Google or AI engines surface direct answers. B2B SaaS benefits most when the team has FAQ pages, comparison pages, and "what is" content for the category. Ecommerce works for product attribute queries, "how to use" content, and brand definitional content. Agency brands benefit from claiming category-defining queries that drive demo requests.
The audit asks for the category early in the session so every output reflects how the audience actually researches. The query list, the competitor set, and the outlet map are category-specific. The answer-block structural rules are universal because Google rewards the same patterns across categories. Strategy, taste, and the call on which page to rewrite first stay with a senior content lead. Juma handles the snippet research, the rewrites, the schema, and the report.
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