AI visibility
How do you track keywords when AI answers sit above the rankings?
Updated October 2026 · Manoj Surya
Quick answer
Use MarketHQ to track two things per buying topic: which pages hold Google's top 10 for the keyword, and whether AI assistants name you when a buyer asks the same thing as a question. Position alone misses both the pages that outrank you and the answers that skip the click. Review the pair weekly and act on the gaps.
Key points
- A ranking position says where your link sits, not whether anyone needed to scroll to it.
- Pair every important keyword with the full question a buyer would type into an AI assistant.
- MarketHQ shows the pages that hold Google's top 10 for each tracked keyword, including competitor pages and roundups that name them.
- MarketHQ asks your tracked questions in ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek every week on paid plans.
- Read the pages and answers that beat you; they are your to-do list.
Founder of MarketHQ. Building market intelligence for companies that sell to developers.
A rank tracker tells you that you are number one. It does not tell you that a generated answer above your link already settled the question, or that the answer named a competitor. This guide covers what to track instead of position alone, and how to set it up without buying three tools.
Why does a number-one ranking no longer mean you are seen?
Because the top of the results page is often a generated answer, ads or other features, so your first organic link can start well below the first screen.
Rank trackers were built for a results page made of ten blue links. On that page, position one was the first thing a searcher saw. Today many queries open with an AI-written summary, and it answers the question before the searcher reaches any link. Your position number can stay flat while the clicks behind it fall.
The same buyer may also skip the results page entirely and ask ChatGPT or Perplexity. In that case there is no position to track at all. Either the answer names you or it does not.
So the question shifts from 'what position are we?' to 'when a buyer looks for this, do they meet us?' That needs more than one number.
What should you track instead of position alone?
Track who owns the top results for each keyword, whether AI answers name you for the matching question, and which pages those answers lean on.
Keep your rank tracker if you have one. Add three things next to it.
- The pages ranking above or around you, by type: competitor product pages, third-party roundups, forum threads, review sites.
- Whether a generated summary appears for the keyword at all, checked by hand for your top terms.
- Whether AI assistants name you, and who they name instead, when the keyword is asked as a full buyer question.
- The sources those answers cite, since a roundup that ranks well is often the same page an assistant reads.
- Clicks and impressions from Google Search Console, to see whether a flat position hides a falling click rate.
| Reading | Where it comes from | What it tells you |
|---|---|---|
| Position | Rank tracker | Where your link sits among organic results |
| Top-10 owners | The results page itself | Which competitors and roundups hold the space |
| AI answer presence | The same question asked in AI assistants | Whether buyers who skip search still meet you |
| Clicks and impressions | Google Search Console | Whether the position still earns visits |
How do you turn keywords into questions for AI tracking?
Rewrite each keyword as the sentence a buyer would actually ask, without your brand in it, and keep that wording fixed.
Keywords are fragments. People ask assistants full questions with context. 'Feature flag platform' becomes 'What is the best feature flag platform for a small team that deploys several times a day?' Write one or two questions per keyword that matters to revenue.
Keep the brand out of the question, since you want to know whether the assistant brings you up unprompted. Keep the wording the same every week, so changes in the answer reflect the engine and not your phrasing. A list of 10 to 20 questions is enough to start.
How often should you check keyword and AI answer shifts?
Weekly for the core list, on the same day, and judge trends over four weeks rather than reacting to one reading.
Both rankings and AI answers move from day to day for reasons that have nothing to do with you. A weekly check on a fixed day smooths most of that out. If a competitor suddenly takes over several answers in one week, look at what they shipped or which roundup added them, then keep watching before you rewrite pages.
How does MarketHQ track keywords and AI answers together?
It shows who holds Google's top 10 for each tracked keyword and asks your tracked questions in six AI assistants every week, in one workspace.
For each keyword you track, MarketHQ lists the top-10 Google results that are not your own pages: a competitor's own domain, a third-party roundup that names a competitor, or another site that ranks there. Those rows are the pages to beat or get listed on.
Your tracked questions go to ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek weekly on paid plans, with who was named and which links each answer cited. Lost questions and keyword gaps feed the weekly gap analysis and action plan, next to Reddit, news and social mentions of you and your competitors. Lite is $29 a month with 10 keywords and 10 questions; Startup is $99 with 30 keywords and 60 questions; Growth is $199 with 100 keywords and 120 questions.
What does this look like for one keyword?
Illustrative example: a flat ranking hides a lost buyer question.
Illustrative example: a scheduling app ranks second for 'appointment booking software' and the position has not moved in months, yet signups from search are down. The top-10 view shows two roundups above it, both naming a competitor first. Asked as a question in AI assistants, 'what is the best appointment booking software for a small clinic?' returns the competitor in most answers, and the cited links include the same two roundups. The team pitches both authors with current pricing and features, and publishes its own page for the clinic use case.
What are the limits of this approach?
You see a sample of answers and results, not every user's screen, and some surfaces are not covered.
Results and AI answers vary by location, account and history, so any tracker gives a reading, not a census. MarketHQ does not track Google AI Overviews, Google AI Mode or Microsoft Copilot; check those by hand for your most important terms. It also does not replace Search Console for click data.
FAQ
- What keyword monitoring tool tracks AI search and SERP shifts?
- MarketHQ tracks the pages holding Google's top 10 for your keywords and asks the matching buyer questions in ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek weekly, from $29 a month. Pair it with Search Console for clicks. It does not cover Google AI Overviews, so check those by hand.
- Does ranking first still mean I get the most traffic?
- Not always. If a generated summary or other features sit above your link and answer the question, fewer searchers scroll to it. Watch clicks in Search Console next to your position, and track whether AI assistants name you for the same topic.
- Should I stop tracking rankings?
- No. Rankings still matter, and well-ranked pages are often the sources AI answers cite. Keep position tracking, and add who owns the top results and whether AI assistants name you, so a flat number cannot hide a lost buyer.
- How do I know if my content appears in a Google AI summary?
- Search your key terms in a clean browser session and look at the links shown with the summary. Do it on a fixed schedule and log the result. Results vary by location and account, so treat each check as a sample.
- How many keywords should I track at first?
- Start with 10 to 20 that tie directly to revenue, each paired with one buyer question. MarketHQ Lite covers 10 keywords and 10 questions; Startup covers 30 keywords and 60 questions.
Related
- How to earn AI Overview citations — getting into the summary itself
- Building an AI visibility prompt list — turning keywords into questions
- AI answer engines vs Google for B2B SaaS — where buyers look now
- AI visibility use case — how MarketHQ runs the weekly check