How do you track competitors in AI answers?

Your own share of voice tells you how often you get named. It does not tell you who is winning the mentions you lose, whether the same rival shows up every time or a different one depending on the question, or whether a competitor is gaining ground before your own numbers show it. Tracking competitors is a separate discipline: choosing who to watch, building a question set that surfaces them, and reading the pattern across engines over time.

Which competitors should you actually track?

Watching everyone in your category produces a spreadsheet nobody reads. Sort competitors into three tiers and give each a different amount of attention.

• Direct competitors. The two or three names a buyer would put on a shortlist next to you. Track these on every question in your set.
• Adjacent competitors. Tools that solve a narrower version of the same problem, and that show up on "alternative to" questions even when they are not a true head-to-head fit. Track these on comparison and alternatives questions only.
• Aspirational competitors. The category leader you are not realistically displacing yet, but whose presence shows you what a fully covered answer looks like. Track these to calibrate, not to chase.

Revisit the list quarterly. A competitor that never appears in any answer for two straight cycles has earned a demotion to occasional checks. A new name that keeps showing up uninvited has earned a promotion.

How do you build a question set that actually surfaces competitors?

A brand-focused question set undercounts competitors, because "is [your brand] good for X" rarely returns a rival's name at all. Surfacing the competitive field means weighting the set toward the question types that name multiple brands in one answer.

1. Comparison questions. "[You] vs [competitor]," phrased for every pairing worth tracking, not just your best-known rival.
2. Alternatives questions. "Alternatives to [competitor]," asked once per competitor you track, since this is where adjacent tools appear unprompted.
3. Best-for questions. "Best [category] for [use case or company size]," which tends to return the fullest shortlist and the clearest read on where you rank inside it.
4. Neutral category questions. "What is the best way to solve [problem]," asked without naming any brand, which shows who the engine reaches for with no prompting at all.

For the complete method of building and sizing a question set across all of these categories, including the brand and persona questions this piece leaves out, see how to build a GEO question set.

How do you turn the answers into a competitive picture?

Logging presence and absence is not enough on its own. The useful signal is who appears together. Build a simple log with one row per question and one column per competitor you track, and mark which names the engine returned. Two patterns matter more than any single count.

Co-occurrence. If a specific rival appears in nearly every answer you also appear in, that is the competitor actually fighting you for the same buyer moment, whatever their broader market size. Two brands that never appear in the same answer are not really competing for this question set, even if you consider them rivals on paper.

Entry and exit. A name that starts appearing where it never did before, or one that quietly stops, is worth more than either brand's raw mention count. It usually traces back to a specific new page, review, or piece of coverage. Once you notice a new entrant, the next move is the same one covered in how to get your brand mentioned in ChatGPT: find what they published or earned that you have not.

How often should you refresh the picture?

Monthly is enough for the direct-competitor tier, where a shift usually reflects something durable. The adjacent and aspirational tiers can run on a slower quarterly cadence, since chasing every fluctuation there mostly adds noise. Run an extra check outside the schedule when a competitor ships a major launch or a comparison site publishes a new head-to-head page, since those are the events most likely to move an answer before your next scheduled pass.

For the arithmetic behind any single number in the log, your own share of voice against a given rival, see how to measure share of voice in AI answers. This piece is about the shape of the competitive field around that number, not the number itself.

A single share-of-voice number tells you how you are doing. A tracked competitive field tells you why, and against whom. Programmatic CMO's GEO agent keeps this log current automatically, running the same question set against every tracked competitor on schedule.