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A review of Data for AI Search — what it measures, what it costs, and where it falls short. Disclosure: built by the same team that publishes this site.
Reviewed by the team at AI Search Insider — powered by 10X Search | Updated 2026
Disclosure: AI Search Insider is produced by 10X Search, an SEO and AI search visibility agency. This review is based on direct platform usage by our team. Throughout this site, 10X Search is recommended as a done-for-you alternative to managing SEO tools — this is a genuine recommendation, not a paid placement. No platforms pay for placement or ratings on this site. Read our full editorial policy: How We Review →
<strong>Disclosure first, because it should change how you read this page.</strong> Data for AI Search is built by 10X Search — the same team that publishes AI Search Insider. This is a review of our own product. We have kept it here rather than leaving the category unreviewed, but you should weight it accordingly and read the cons section, which we have not softened.
Data for AI Search measures whether AI assistants name and cite your business. It runs the same queries across ChatGPT, Perplexity, Claude, Gemini and Grok, scores the results against a published 10-point framework, and reports which competitors are cited in your place.
The design choice that distinguishes it from a prompt tracker is the split between <em>cited as a source</em> and <em>named as the recommendation</em>. Those are different problems with different fixes, and most trackers blend them into a single mention count. Seeing them apart changes what you do next.
It is narrow by design. There is no backlink index and no rank tracking. It answers one question — do assistants recommend you, and if not, who do they recommend — and hands back the directories, entity fixes and content gaps behind the answer.
Runs identical queries across ChatGPT, Perplexity, Claude, Gemini and Grok with multi-sample scoring, so a single model's quirk does not skew the picture. Separates citation from recommendation.
Names which competitors assistants cite instead of you, for which queries, and which of their pages win the answer. This is the feature that turns a score into a task list.
Outputs the directories worth claiming, the entity and knowledge-graph gaps to close, and a ranked content plan aimed at the queries you are losing.
Re-runs the same queries the same way after changes ship, so a lift reads as movement rather than the noise you get from asking a model the same question twice.
The scoring formulas and per-engine weightings are published rather than held as a black box, so you can sanity-check a score before paying for anything.
Effectively none, and deliberately so. No backlink index, no keyword research, no rank tracking. If you need those you need a second tool.
A free audit, then two paid tiers. Prelaunch pricing shown below is discounted for the first 100 customers — verify current rates before budgeting.
$0
Best for: Finding out where you actually stand
One-off audit, no ongoing tracking
“A complete 10-point audit across all five engines, emailed within minutes, no card required. There is no reason not to run it before paying for anything — including before paying a competitor.”
$99/mo
Best for: Watching the number and catching drift
Monthly rescans of the same query set
“Monthly rescans ranked per engine. Fair value if you are actively working on visibility and need to see whether it moves. If you are not doing the work, you are paying to watch a number sit still.”
$497/mo
Best for: Teams acting on the findings
Bi-weekly scans
“Adds competitor citation maps, content planning and drafted community responses. The step up is only worth it if someone is going to execute the plan — otherwise Monitor plus your own effort gets you most of the way.”
Prelaunch pricing ($99 and $497) is listed against $199 and $999 regular rates for the first 100 customers. Treat the discounted numbers as temporary when you model cost.
If the ownership disclosure bothers you — and it reasonably might — run the free audit for the diagnosis, then take the findings to any tool or agency you like. The 10-point methodology is published, so the analysis is reproducible without buying anything.
Get a Free Site Audit from 10X SearchThe AI search gap is the whole product rather than a module inside it, which is the main structural difference from a traditional suite. There is no legacy rank-tracking architecture to retrofit.
In practice that shows up in what gets measured. A traditional platform asks where you rank for a keyword. This asks whether an assistant names you when someone requests the best option in your category — and if not, whose name comes up instead.
The limitation is the mirror image: because the product is built entirely around that question, it tells you nothing about your backlink profile, your technical crawl health, or your classic organic rankings. Those still matter, and they still need a different tool.
Worth stating plainly: AI visibility is driven heavily by brand mentions, directory presence and entity clarity — signals that live off your website. No measurement tool, this one included, moves those for you. It tells you which ones are missing.
See how 10X Search handles AI visibility →For the narrow job of measuring and improving how AI assistants talk about your business, this is the most complete tool we have used — and we would say that about a competitor's product if it were true, because the alternative is a review nobody can trust.
It earns the score by refusing to stop at measurement. The competitor citation map and the remediation plan are the parts that turn a number into work, and they are what most prompt trackers lack.
It loses points for genuine reasons: it is narrow, the category benchmarks are immature, the best views are paywalled, and the current pricing is a temporary prelaunch rate. And it is ours, which you should factor in.
The reasonable move is the free audit. It costs nothing, the methodology is published, and it will tell you whether you have a problem worth paying anyone to solve.
See how the major platforms stack up across the metrics that matter most in 2026.
| Platform | Best For | AI Search Ready | Ease of Use | Starting Price | Our Rating |
|---|---|---|---|---|---|
| Data for AI SearchRECOMMENDED | AI citation measurement and remediation | Purpose-built | Easy | Free / $99 | 4.6 |
| Semrush | All-in-one SEO with AI visibility added | Partial | Moderate | $139.95 | 4.2 |
| Ahrefs | Backlink analysis and keyword research | Limited | Moderate | $129 | 4.4 |
| SearchAtlas / Otto | Agencies running AI-assisted SEO at scale | Strong | Steep | $99 | 4.3 |
Compare Data for AI Search against the traditional SEO suites
Get My Free AuditYes, we own it. Data for AI Search is built by 10X Search, the same team that publishes AI Search Insider. We disclose that at the top of the page, in the schema, and here. We chose to publish a disclosed review rather than quietly omit the category, but you should read it more sceptically than our reviews of tools we do not own — and the cons section is the part to read closely.
Not in the traditional sense. It measures answer-engine visibility — whether AI assistants name and cite your business — rather than where you rank in the blue links. It complements an SEO suite rather than replacing one. If your Google rankings are healthy but AI keeps recommending a competitor, this is the category of tool that addresses it.
A prompt tracker reports a number and alerts you when it drops. Data for AI Search measures too, then does the harder part: it identifies why the answer names someone else and returns the work needed to change it — competitor citations, directories to claim, entity signals to fix, and extractable content to publish — then re-measures identically to show whether the lift is real.
ChatGPT, Perplexity, Claude, Gemini and Grok. Using five engines rather than one matters because coverage varies substantially between them — a brand can be well cited in Perplexity and invisible in ChatGPT, and a single-model snapshot would miss that entirely.
Yes. The full 10-point AI Citation Audit is free, requires no credit card, and is emailed within minutes. It returns your score across all five engines, the queries you are losing, and who is cited instead of you. Run it before paying for any tool in this category, ours included.
The audit is free. Monitor is $99/month for monthly rescans ranked per engine, and Engage is $497/month for bi-weekly scans plus competitor citation maps, content planning and drafted community responses. Both paid tiers are prelaunch rates for the first 100 customers, against regular pricing of $199 and $999 — so budget against the higher figures.
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