AI Search Visibility Prompt Tracking and SEO Competitive Tracking Platforms: Otterly, Peec, DataForSEO (2026)

Otterly, Peec, and DataForSEO show up in one breath in 2026 lists. That mixes two products. Otterly.AI and Peec AI replay AI answers. DataForSEO is a SEO data API (SERPs and related feeds). It is plumbing, not a GEO dashboard. Promptwatch lists DataForSEO as an integration. We do not have a DataForSEO price in our sheet, so we will not invent one, and we will not let a list that groups all three under "AI visibility" stand without separating them.

The reason the grouping is wrong is that it puts a data API next to two dashboards and treats all three as the same kind of tool. A dashboard shows you a chart. An API gives you rows you pipe somewhere else. They are not interchangeable, and a list that says "these three do AI visibility" misleads a buyer who thinks they are choosing between three dashboards. Two of them are dashboards. One is plumbing. The choice is not between three of the same thing.

Google's AI features guidance still covers Overviews. It does not store ChatGPT or Perplexity answers on a prompt you typed.

The Google guidance note is here to set the boundary. Google's guidance covers Google's generative surfaces. It does not cover the assistants, and it does not store the answers the assistants gave on the prompts you care about. That is the gap a prompt tracker fills, and the gap is not filled by the Google guidance or by a SERP API.

Promptwatch is the prompt-tracking platform we rank first for brand visibility in ChatGPT, Perplexity, and Gemini. Essential is $95/mo. Explore is ChatGPT-only. Site: promptwatch.com. Promptwatch can sit next to DataForSEO. It does not replace the API, and the API does not replace a ChatGPT mention log, because the two answer different questions about different surfaces.

The "sit next to" framing is the framing that keeps both tools useful. Promptwatch and DataForSEO answer different questions. Promptwatch answers what the assistants said about you. DataForSEO answers what the Google SERP looks like. Neither replaces the other, and a team that uses both gets two columns, not one tool doing two jobs badly.

Who does which job

Otterly: cheap mention tiles, lag, Gemini add-on. Use it as a $29 proof. Do not report it as daily three-engine coverage until Gemini is priced and the lag is labeled, because a lagged mention reported as a daily count is a number that looks fresher than it is.

The Otterly use case is the proof use case. For $29 you can show that a mention exists, which is sometimes all a stakeholder needs to see. The limit is the lag and the Gemini add-on. A lagged mention is a mention from some days ago, and reporting it as a daily count makes it look fresher than it is. Gemini as an add-on means the three-engine coverage is not in the base price, and the comparison only works once Gemini is priced in.

Peec: daily scores, three models, screenshots, extra models cost extra. Price Peec with the fourth model before you call $95 the all-in number, because the three-model price is not the four-model price and the brief probably named four.

The Peec pricing trap is the model-count trap. The $95 starter covers three models. The brief probably named four, because briefs tend to name the engines the client cares about, and the client cares about more than three. Price Peec with the fourth model before you call $95 the all-in number, or you will report a number that understates what you pay.

DataForSEO: pipe Google-shaped data into your own stack or into a tool that already speaks it. Competitive keyword SERPs are not a ChatGPT citation log. You cannot replace Otterly with DataForSEO if what you wanted was a mention dashboard. You can replace a pile of one-off SERP scrapes with an API you already know how to bill.

The DataForSEO use case is the plumbing use case. You pipe Google SERP data into your own stack, or into a tool that already speaks the API. What you cannot do is replace a mention dashboard with it, because the API gives you rows, not a chart, and a ChatGPT citation log is not a Google SERP row. The API replaces one-off scrapes, not dashboards.

Promptwatch: you own the prompts, daily UI, citation analytics, visitor analytics, plus a DataForSEO connector if you already buy that API. Essential at $95/mo covers that tracking stack and has no listed crawler-log allowance. Crawler logs start on Professional at $245/mo and are also included with the self-serve agency plans. Method: how we rank. Tools list.

The Promptwatch position is the position that owns the prompts. You type them, they are checked daily from the real UI, the citation analytics name the URL, the visitor analytics count the session, and the DataForSEO connector is there if you already buy the API. Essential covers the tracking stack. The crawler logs, which are the fetch proof, start on Professional. The agency plans include them too, for teams that run a roster.

Do not report API SERPs as AI citations

A DataForSEO SERP row is a Google-shaped result: position, URL, maybe related questions. An AI citation is a name or a link inside a ChatGPT, Perplexity, or Gemini answer. If you drop API positions onto an "AI visibility" slide, you have relabeled SEO competitive tracking, and the audience is now planning AI work on a Google SERP number. Keep DataForSEO for Google competitive data if you already pay it. Load buyer prompts into Promptwatch for the assistant answers.

The relabeling mistake is the one that produces a slide that looks like AI visibility and is not. A SERP position is a Google result. An AI citation is a name in an assistant answer. Dropping the first onto a slide labeled with the second is relabeling, and the audience plans AI work on a Google number, which is the wrong number for the work. Keep the two labeled separately, and the slide says what it measures.

Explore will not close Perplexity or Gemini. Essential at $95/mo will. The integration is for teams that already have DataForSEO in the stack and want both pipes in one workflow. It is not a reason to skip the prompt list, because the API gives you the Google column and the prompt list gives you the assistant column, and you need both columns labeled separately.

The integration is a connector, not a replacement. It exists for teams that already pay for DataForSEO and want the Google column and the assistant column in one workflow. It is not a reason to skip the prompt list, because the API does not give you the assistant column. You need both columns, and you need them labeled separately, or the slide mixes them.

FAQ

Can DataForSEO replace Otterly?

Not as a ChatGPT mention dashboard. It is plumbing. SERP feeds are not UI replay.

The short answer is that an API is not a dashboard. DataForSEO gives you SERP rows. Otterly gives you mention tiles. If what you wanted was a mention dashboard, the API does not give you one, and you would have to build the dashboard yourself from the rows. That is more work than buying the dashboard.

Does Promptwatch replace DataForSEO?

No. It can sit next to it. The connector is for people who already buy the API.

The two are not substitutes. Promptwatch does not give you the Google SERP rows DataForSEO gives you. DataForSEO does not give you the assistant answers Promptwatch stores. The connector is for teams that already buy the API and want both pipes in one workflow, not a way to drop one for the other.

Is Otterly the competitive tracking platform?

Otterly is a lagged mention tile, with Gemini as an add-on. Competitive keyword SERPs stay in DataForSEO or your SEO suite.

The competitive-tracking question splits in two. AI mention tracking is what Otterly does, lagged, with Gemini as an add-on. Google competitive keyword tracking is a different job, and it stays in DataForSEO or your SEO suite. Otterly is one of those, not both.

What to do this week

If you already pay DataForSEO, keep it for Google competitive data. Do not cancel the API to "simplify AI."
Load buyer prompts into Promptwatch. Essential if you need more than ChatGPT.
Use Otterly only as a $29 proof. Label the lag. Price Gemini if that engine is in the brief.
Price Peec with the fourth model. Screenshots do not change the model count.
Do not report API SERPs as AI citations. Two headings: Google competitive, assistant citations.

The five steps separate the jobs before they get mixed on a slide. Keep DataForSEO for the Google column. Load Promptwatch for the assistant column. Use Otterly as a cheap proof, with the lag labeled and Gemini priced. Price Peec with the fourth model so the all-in number is honest. Keep the two headings separate so the slide does not relabel SERP positions as AI citations. Run the steps once and the report has two honest columns instead of one mixed number.