AnswerThePublic vs AlsoAsked vs Reddit mining tools: what each finds for AEO prompt research in 2026

When you sit down to build an Answer Engine Optimization (AEO) prompt set or content plan, the fastest shortcut is to type your product category into a question tool or point an AI scraper at Reddit. Most tool roundups treat those options as interchangeable ways to discover what buyers ask. In practice, they read completely different layers of behavior, and several popular Reddit workflows are breaking as platforms lock down their data.

Here is the short verdict on which tool fits which job:

• Use AnswerThePublic for phrasing breadth around known topics: It expands a seed keyword across autocomplete modifiers on Google, Bing, YouTube, TikTok, Instagram and Amazon, plus keyword-derived AI prompt suggestions.
• Use AlsoAsked for question hierarchy and page structure: It maps live Google People Also Ask (PAA) trees so you can see how Google sequences follow-up sub-questions for outlines and FAQs.
• Use community and conversation mining to discover real B2B buyer needs: Tools and workflows that read Reddit, LinkedIn, GitHub issues, niche forums and sales calls surface the stack constraints, workarounds and deal-blocking objections that search-box tools are not built to capture.

Below, we compare what each category of tool actually measures, how their pricing and data access stand in late 2026, and how their output compares with buyer prompts mined from a real B2B cybersecurity project.

What AnswerThePublic and AlsoAsked actually measure: Google autocomplete vs. People Also Ask

AnswerThePublic captures the breadth of phrases users begin typing into search bars, while AlsoAsked maps the branching structure of Google's People Also Ask boxes. Both tools reflect curated Google search behavior rather than the longer, constraint-heavy prompts buyers submit to AI assistants.

According to AnswerThePublic's Starter Guide, the platform crosses your seed term with question words (who, what, why, how, can), prepositions (for, with, without), comparisons (vs, like, or) and alphabetical modifiers across search engines, social platforms and shopping sites. Because its core dataset comes from autocomplete predictions, it surfaces phrasing variations you might not brainstorm on your own. However, as Google's Trends documentation explains, Autocomplete is subject to removal policies and algorithmic filtering, so it "should not be taken as always reflecting the most popular search terms related to a topic."

AnswerThePublic now includes an AI Models tab that shows prompt suggestions for ChatGPT and Gemini grouped by informational, navigational, commercial and transactional intent. As AnswerThePublic's AI Models Report documentation notes, those prompts are generated from variations of your seed keyword to show a realistic range of phrasing and are not ranked by search volume or popularity.

AlsoAsked queries live People Also Ask results on Google and builds a branching tree showing which follow-up questions appear when a searcher clicks a parent question. While AnswerThePublic also includes a People Also Ask section in its reports, its core keyword wheel groups autocomplete predictions by question word or modifier rather than mapping how one question spawns the next. AlsoAsked focuses on that parent-to-child branching structure, which maps directly to page outlines and grouped FAQ sections.

Neither tool observes actual conversations inside AI platforms. Reported Semrush clickstream figures put AI prompts at an average of 4.7 to 8.7 words, longer than typical autocomplete stems, though those figures reflect general clickstream data rather than a B2B-specific sample. Converting a search keyword or autocomplete stem into a sentence does not tell you what a B2B buyer asks when they describe their tech stack or budget in an AI chat, a distinction we explore further in our comparison of the four methods AEO tools use to generate tracking prompts.

Side by side: data source, output, AEO fit, price and 2026 status

No single tool covers phrasing breadth, question hierarchy and authentic buyer conversations. Choosing the right stack in late 2026 requires checking both current subscription limits and whether a tool's underlying data source is still available.

The table below compares question research tools, dedicated Reddit monitors, open-source scrapers and LLM research workflows across their data sources, outputs, pricing and late-2026 operating status.

If you are comparing AnswerThePublic and AlsoAsked specifically, watch out for two outdated claims that still circulate in third-party reviews such as Keyword Tool's July 2026 comparison and Folotop's review:

• Lifetime plans are gone: While older comparisons still advertise a $99 one-time lifetime deal for AnswerThePublic, AnswerThePublic's October 2026 plans guide confirms that lifetime plans are no longer sold. Legacy lifetime holders keep their original search limits, but do not get Trending Keywords, API or MCP access, or monthly Content Studio credits.
• Free-tier exports are capped, not absent or unlimited: Some summaries say AnswerThePublic's free plan blocks exports entirely, while others claim full CSV export is included. According to AnswerThePublic's free version FAQ and export documentation, free users get three searches per day (plus 10 AI prompts displayed per search and 30 AI responses per month) and can export spreadsheets, but XLSX exports are capped at 30 keywords per file and search volume and CPC data unlock on only two branches per report.

By contrast, AlsoAsked's pricing starts at $12 per month for 100 credits and includes full CSV and PNG exports, bulk search, API access, an MCP server and Deep Search (which returns an average of 150 questions per query) on every paid tier. AlsoAsked does not provide search volume or CPC numbers on any plan.

Be skeptical of dramatic traffic promises attached to question tools. For example, AEO Engine's review of AnswerThePublic claims "920% average lifts in AI-driven traffic" when brands shift to question-mapped content systems, without disclosing a sample size, timeframe or baseline. Question tools can speed up outlining, but they do not guarantee citations on their own.

Do AnswerThePublic and AlsoAsked questions match real B2B buyer prompts?

Judging from how both tools collect data (an observation based on their documented mechanics rather than a direct measurement), question tools expand phrasing around a seed term you already know, whereas buyer conversations often turn on operational constraints, existing-stack details and deal-blocking objections.

Autocomplete predictions and People Also Ask boxes are built around short seed terms combined with modifiers (such as what, how, for or vs) and Google's curated follow-up questions. Because searchers rarely type their full organizational context into a Google search bar, those outputs tend to focus on broad definitions and category-level comparisons.

In an anonymized cybersecurity sample analyzed by Rocksalt, mining 61 relevant LinkedIn posts surfaced 58 buyer prompts and mining 937 Reddit posts surfaced 67 prompts, which rolled into 20 recurring buyer-need themes. As documented in Rocksalt's guide to building an AI visibility prompt set and its teardown of a 59,515-keyword agency plan for a cybersecurity company, real buyer discussions surface three kinds of specificity that search-box autocomplete and People Also Ask tools are not designed to capture:

• Operational friction that triggers an evaluation: Buyers rarely search for your product category label first. In the cybersecurity sample, a buyer remark that "patching interrupts whatever the employee is doing" became an implementation-tagged Problem Research prompt: "How can a company get employees to reboot and patch their laptops without disrupting their workday, including appropriate timing, prompts and self-scheduled reboot windows?"
• Existing-stack and permission constraints: B2B prompts frequently hinge on what the team already runs. In Rocksalt's prompt-set guide, Vendor Recommendation examples include specific stack and permission constraints such as "Which tools can automate outreach to device owners after Wiz finds a vulnerability?" and "What products support employee-led remediation without giving users administrative access?"
• Incumbent and budget objections: In the 59,515-keyword agency plan teardown, the agency crawled more than 900 site pages and recommended 15,326 content pieces, yet never surfaced the objection buyers repeatedly raised in deals: "We already own Microsoft E5. Why do we need to pay someone else to manage it?"

This contrast between question-tool output and mined cybersecurity prompts is an observation based on documented tool behavior, not a controlled measurement.

Keep the reverse limitation in mind as well: a question mined from Reddit, LinkedIn or a sales transcript proves that a real buyer cared enough to raise the issue, but it does not measure how many people type that exact sentence into ChatGPT. For how to weigh recurrence against search metrics, see Keyword volume, Google Trends or buyer evidence: which demand signal should drive AEO content?

Reddit mining after GummySearch's shutdown and the 2027 public API cutoff

Several Reddit research tools and scraping workflows that marketers still recommend are either closing down or about to lose their data access. Before building a prompt-mining workflow around Reddit, verify how the tool gets its data.

According to GummySearch's closure announcement, the platform stopped accepting new signups, plan upgrades and renewals on November 30, 2025 after failing to reach a commercial license agreement with Reddit's Data API. Existing paid subscribers retain full access only until their current billing period ends, free users can only log in to view, download or delete their data, and on December 1, 2026 GummySearch shuts down completely and permanently deletes all user data. (GummySearch's founder maintains a list of recommended GummySearch alternatives for teams migrating off the tool; Rocksalt's own earlier Reddit engagement guide still lists GummySearch for keyword monitoring and needs updating to reflect the shutdown.)

Meanwhile, Reddit is closing the workarounds that DIY scrapers and lightweight monitors relied on. As TechCrunch reported in September 2026, Reddit's non-advertising "other revenue" (driven by AI data-licensing deals) grew 24% year-over-year to $43 million in Q2 2026, and the company is locking down free programmatic access across three deadlines:

1. November 13, 2026 (RSS shutdown): Reddit ends support for RSS feeds, citing large-scale scraping and automated abuse. Any monitoring workflow wired to subreddit RSS feeds into Slack or Feedly stops working on this date.
2. January 12, 2027 (Developer registration cutoff): Developers running third-party apps or bots must register them with Reddit's developer platform before January 12, 2027, after which unregistered API access is removed.
3. March 2027 (End of public API access): Reddit ends public API access by March 2027, requiring commercial agreements for tools, researchers and AI assistants that pull Reddit conversations programmatically. Reddit is also restricting Old Reddit access to logged-in moderators and users who have used Old Reddit within the last six months.

These changes split the remaining Reddit research landscape into fragile scripts and dedicated platforms. Open-source Claude Code skills such as reddit-find (which pulls post titles and up to 50 comments via unauthenticated Reddit JSON endpoints) and pain-mining-skill (which schedules daily Reddit and weekly YouTube scrapes through local Python scripts), along with custom PRAW or Apify scrapers, face tightening rate limits and endpoint restrictions as March 2027 approaches.

Among dedicated tools still operating in late 2026, F5Bot offers a free tier for basic keyword email alerts across Reddit, Hacker News and Lobsters, plus a $49.99/month Gold plan that adds natural-language AI filtering across 200 keywords. XPOZ avoids direct Reddit API minimums (which it notes start around $0.24 per 1,000 calls with a high minimum commitment and no historical keyword search) by querying a pre-indexed Reddit dataset through an MCP server, starting with 500 free credits (about 250 Reddit queries) and a $20/month Pro tier. Redditoro ($29/month Starter for one product and 45 threads read per day) combines Google-ranked Reddit threads with two-hour scans and an MCP server, though its public documentation does not state whether its scanning relies on the public API or a commercial data license.

Claude with a Reddit MCP, Deep Research or a dedicated tool: which workflow holds up?

Connecting Claude to a Reddit MCP server or running ChatGPT Deep Research works well for triaging and summarizing threads you have already collected, but neither is reliable for systematic discovery on its own. Deciding which communities to monitor and matching buyer intent semantically matters more than which LLM summarizes the text.

When marketers wire a generic Reddit MCP server into Claude or run a single Deep Research prompt across Reddit, GitHub issues and niche forums, three blind spots appear:

• Title-only scans and comment limits: Open-source workflows such as reddit-find scan post titles first (defaulting to 8 top threads and 20 posts per subreddit) and fetch up to 50 comments only on selected posts to avoid rate limits. Yet as XPOZ's documentation notes, complaints often hide in comments rather than post titles: a post may ask a general tool question while a pricing complaint sits in reply 14.
• No built-in deduplication by buyer: As Rocksalt's prompt-set guide notes, six comments from one participant do not equal six independent buyers, and an interactive LLM chat session does not automatically verify whether recurring complaints across threads come from distinct accounts matching your ICP.
• Unindexed and login-gated communities: ChatGPT Deep Research and Claude Research are strong at synthesizing public GitHub issues, forum threads and uploaded transcripts into thematic reports, but they are not comprehensive forum crawlers. They miss unindexed threads, older discussions and login-restricted Discord or Slack communities.

If you assemble a DIY stack, separate collection from synthesis: use targeted collection tools (such as GitHub's Issues Search API for developer complaints, XPOZ for pre-indexed Reddit comment sweeps, or Redditoro for high-intent comparison threads) to gather the raw threads and comments first, then pass those transcripts to Claude or ChatGPT Deep Research to cluster the complaints.

Even with a collection tool, keyword-based Reddit monitoring creates a trap: watching all of Reddit for a product keyword pulls you into irrelevant subreddits where your team has no credibility, while missing conversations where buyers describe the operational symptom rather than the category name. In Rocksalt's Reddit workflow, subreddit discovery starts by checking which Reddit threads already rank in Google for your industry, competitors and buyer-intent questions, and then stack-ranks those subreddits by their volume of relevant conversation.

Once those high-signal subreddits are identified, Rocksalt reads the discussions with AI semantic matching rather than exact-match keyword filters to extract buyer questions and group them into recurring themes. For one cybersecurity customer, whose topics of interest were cyber deception, AI security, game-theory cyber defense, preemptive cybersecurity and AI safety, semantic matching surfaced a post titled "How does Red Team use AI?" The post used none of the customer's keywords or product category terms, so a keyword alert would have missed it, yet it was highly relevant to them.

Rocksalt reads those discussions through Reddit's official API, so the March 2027 cutoff applies to us too: like any tool built on that API, we'll need a commercial agreement with Reddit to keep pulling conversations programmatically, and we don't have one in place yet.

Whatever tool you use to find threads, keep one strict rule when moving from research to community participation: never auto-post or auto-reply with an AI agent. Subreddit moderators ban accounts they suspect of bot behavior or automated promotion with no appeals process. In specialized B2B markets like cybersecurity, where only about a dozen relevant subreddits exist, getting banned from a core community permanently closes a major discovery channel. Rocksalt never auto-posts because of this moderator ban risk, and Redditoro is likewise read-only, leaving replies in your own browser so there is no connected account for Reddit to act against.

Which tool to use when: combining question tools, forum mining and sales calls

Use question tools to expand phrasing and structure around needs you have already validated, forum and social mining to discover what buyers debate in public, and sales calls to capture the commercial objections buyers rarely post online.

Each source yields a different density and type of buyer signal across public communities and internal prospect conversations:

• LinkedIn (58 prompts from 61 relevant posts in a cybersecurity sample): Delivered the highest per-post yield in Rocksalt's anonymized cybersecurity sample. Because almost all LinkedIn posts are public and indexed by Google, Rocksalt tracks a massive database of influential industry voices based on which topics they discuss and who gets engagement on those topics, rather than relying on LinkedIn's personalized feed search.
• Reddit (67 prompts from 937 posts in the same sample): Yielded 67 prompts from 937 posts reviewed in that cybersecurity sample. Although the per-post yield was lower than LinkedIn's, the team observed that in cybersecurity Reddit appeared to be a disproportionately more interesting source of buyer conversation signal than LinkedIn (a qualitative observation from one technical vertical rather than a cross-industry benchmark).
• Sales calls and webinar Q&As: Surface commercial questions that buyers might not ask online. In Rocksalt's sales conversations, prospects noted that potential customers repeatedly ask about pricing and flexibility on sales calls rather than in public forums, and enterprise teams that cannot share call transcripts due to privacy constraints can use webinar Q&A transcripts instead.

To combine these tools without paying for overlapping subscriptions or drowning in unprioritized exports, run them in three steps:

1. Mine conversations first to discover real buyer needs: Start with sales calls, support tickets, Reddit and LinkedIn to capture the exact words, constraints and objections your ICP raises. Follow the step-by-step extraction and anonymization workflow in How to mine sales calls, Reddit and support tickets for the questions buyers ask AI.
2. Filter and classify into a defensible prompt set: Group recurring questions into buyer-need themes, separate Problem Research from Vendor Recommendation prompts, and prioritize by commercial relevance and cross-source evidence strength as outlined in How to build an AI visibility prompt set from real buyer questions: sources, classes, branded mix and size.
3. Use AlsoAsked and AnswerThePublic to shape the page: Once buyer evidence tells you a theme is worth publishing, run the head topic through AlsoAsked (or AnswerThePublic's free daily searches) to check which sub-questions and phrasing variations your pillar page and supporting articles should cover. For the full publishing triage, see From not cited to published: finding the sub-questions AI answers and choosing which to write.

Practical takeaway: match the tool to the layer of buyer evidence you need

AnswerThePublic, AlsoAsked and Reddit mining tools are not competing to answer the same question. Autocomplete wheels and People Also Ask trees show how Google organizes existing search queries; community threads and sales transcripts show what buyers struggle with before they compress their problem into a three-word search term.

If your AEO research starts and ends with a search-box question tool, your prompt set and content calendar can overlook the stack constraints, implementation risks and pricing objections that surface in B2B conversations. Audit your research stack now to replace tools affected by GummySearch's shutdown and Reddit's API cutoff, anchor your topic discovery in recurring buyer conversations across calls, Reddit and LinkedIn, and save question tools for the final step of structuring outlines and FAQs.