# AI visibility data you can act on Updated October 2026 Most monitoring tools stop at a dashboard. You get alerts. You get charts. Then someone has to read them, decide, and do the work. Usually nobody does. MarketHQ ends the loop differently: every gap becomes a task, a person or an agent claims it, drafts the fix, and reports back. You stay the one who approves. ## Quick answer MarketHQ tracks AI visibility across six assistants weekly, shows which competitors get named instead, turns each gap into a ranked task, and its agents (or your agents over MCP) draft the fix with human approval. Actionable means every number leads to a finished task, not another meeting. - MarketHQ checks six AI assistants weekly (ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek) and turns gaps into ranked tasks on paid plans from $29 a month. - Every gap gets a task with evidence and a done-when statement, so you or your agent knows what to draft. MarketHQ includes 16 MCP tools on every paid plan. - Your agent claims a task, pulls evidence, drafts the fix, and reports the outcome without leaving the conversation. - Nothing ships without human approval. The agent drafts, you approve, then the page or reply goes live. ## What sources does MarketHQ cover? Free: Hacker News, GitHub, RSS, Stack Overflow, Dev.to, Lobsters. Paid plans add Reddit, LinkedIn, YouTube, X, Perplexity, Product Hunt, Broader web crawl, Bluesky. - Grouped Slack daily digest - Drafted replies from your own strengths - Gap analysis and action plans - Weekly AI-answer visibility (paid plans) - Chat over your own evidence - API and MCP on every paid plan - Flat capacity pricing, tiers differ by tracking volume only - 4-day free trial on Lite and Startup - Free tier with no card and no end date ## What makes AI visibility data actionable? Actionable means every gap you see turns into a task someone can finish, with evidence, a clear outcome, and a way to re-check whether the number moved. The opposite is a dashboard that shows you a number going down, then stops. You know something is wrong. You don't know what to draft. You don't know who claimed it. You don't know when to check if it worked. MarketHQ makes the data actionable by turning each gap into a task with four parts: the gap (which competitor gets named instead of you), the evidence (the actual AI answer), the done-when statement (publish a mention-tracking page, reply in that thread), and a re-check after the fix ships. That task can go to a person or an agent. ## What does the loop look like? Seven steps: find the gap, rank it, claim it, draft the fix, approve it, ship it, and re-check whether the number moved. - Find the gap: weekly check shows where competitors are named and you aren't (MarketHQ runs this across six AI assistants on paid plans). - Rank it: the gap becomes a task with evidence and a done-when statement (MarketHQ turns each gap into a task automatically). - Claim it: your agent or team member takes the task so no one doubles up (MCP tool claim_task, or the app). - Draft the fix: a page, a reply, or a pitch, using the evidence (MCP tools get_evidence, get_content_outline). - Approve: a human reviews the draft, nothing ships without you. - Ship: the page goes up as a pull request, the reply gets posted, or the pitch lands in the doc (still your call). - Re-check: next weekly check shows if the number moved (MCP tool report_outcome, then get_ai_visibility re-runs the same prompt). ## What can agents act on? Four kinds of draft: reply where buyers ask, publish what's missing, fix your own pages, or watch competitor moves. - Reply where buyers ask: a drafted reply to the thread naming a competitor, so you can paste it if the thread still matters. - Publish what's missing: a brief or page for the question no one answers, so AI assistants can cite it when the question comes up again. - Fix your own pages: the line a competitor's page says better, so your page wins the next time MarketHQ re-checks. - Watch competitor moves: a quiet check for a page or price change, so you know when a competitor ships something worth a reply. ## Why does this matter for broad-market brands, not just developer tools? Any company tracking brand and competitors benefits when a gap becomes a task and a task becomes a shipped fix, not another dashboard meeting. The pattern works for developer tools, B2B SaaS, agencies, and any company where buyers ask AI assistants for a shortlist before Google. Founder-led teams and agents both work the same task queue. MarketHQ is built for any brand tracking competitors, not dev-tools-only. AI visibility, gap analysis, and action plans are core, and MCP lets agents do the draft while you approve. ## Limits: where does actionable AI visibility fall short? It only sees public AI answers, and it never ships the fix for you. The agent drafts, you approve. Private conversations, internal tools, and what buyers say on a sales call never show up here, and no tool in this category changes that. MarketHQ drafts a reply or a page, but a human still decides whether to ship it. The free plan covers Hacker News, GitHub, Stack Overflow, Dev.to, Lobsters, and RSS. Reddit, the social lanes, and weekly AI visibility tracking are paid, starting at Lite for $29 a month, as are API and MCP access. ## What does a worked example look like? MarketHQ runs MarketHQ on MarketHQ. Here is a real loop from this month. The result is not measured yet. We will update this page when it is. We run MarketHQ on MarketHQ. Here is a real loop from this month. The result is not measured yet. We will update this page when it is. Step 1, gap found (week of 5 Oct 2026): AI visibility for MarketHQ showed zero share across our tracked questions. On the prompt "What do you recommend for mention tracking?", AI assistants named Brand24 in half the answers, Brandwatch in a quarter, MarketHQ in none. Most-named brands overall: Mention (14 answers), Brandwatch (12), Hootsuite (11), Brand24 (10), Sprout Social (10). Step 2, task created: the gap became a task, "Publish what's missing: a mention-tracking page," with evidence and a done-when statement. Step 3 and 4, agent drafted it: our content agent pulled the gap and the evidence, then wrote a use-case page on mention tracking for developer tools. Step 5 and 6, human gate then PR: our lead agent reviewed the draft. It opened as PR #280. The founder merges. Nothing auto-ships. Step 7, re-check: pending. We re-check AI share on the same question after the page is live and indexed. Time for a person: reading the gap and approving the PR. Everything else was agent work. ## FAQ ### Does the agent publish on its own? No. The agent drafts. You approve. In our example, the page went up as a pull request that the founder merges. ### Which AI assistants do you check? ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek. Weekly, on paid plans from $29 a month. ### Do I need my own agents? No. Your team can work the same task list in the app. Agents just make it faster, and MarketHQ includes 16 MCP tools on every paid plan so your agent can claim a task, pull evidence, and draft the fix. ### How do I know if it worked? The next weekly check re-asks the same questions. Every number links to the answer behind it. MarketHQ does not claim a lift until the re-check shows one. ### What is MCP? Model Context Protocol, a standard for agents to call tools. MarketHQ includes 16 MCP tools on every paid plan (from $29 a month), plus a REST API for any workflow. ## Related - [AI visibility tracking](https://markethq.ai/use-cases/for-ai-visibility) — how to track ChatGPT and Perplexity brand mentions across six assistants - [Mention tracking for developer tools](https://markethq.ai/use-cases/mention-tracking-for-developer-tools) — the PR #280 example mentioned here, built from a gap MarketHQ found - [Gap analysis for developer tools](https://markethq.ai/use-cases/gap-analysis-for-developer-tools) — how MarketHQ turns a gap into a ranked task with evidence - [Free GEO audit](https://markethq.ai/tools/geo-audit) — a free snapshot of whether assistants name your brand - [All use cases](https://markethq.ai/use-cases) — the other jobs this product is bought for ## Sources - MarketHQ pricing: https://markethq.ai/pricing (verified 2026-10-12) - MarketHQ GitHub PR #280 mention-tracking page: https://github.com/ManojSurya/MarketHQ/pull/280 (verified 2026-10-12)