AI search analytics and content production in one workflow
Connects AI visibility signals to content opportunities and production.
Source review: · Public-source research, not a hands-on test
Content teams that need a measurable backlog instead of generic AI writing ideas.
Engine coverage and usage limits are tiered, while the public independent review sample is still small.
01 / Editorial assessment
DeepSmith is an unusually coherent choice for a team that does not want its AI-search report to become another unowned backlog. Its differentiator is not simply that it tracks prompts or generates articles; it puts those steps in the same operating context. A team can see that a competitor page is cited for a buyer question, inspect the coverage gap, create an opportunity, and send a reviewed article to a CMS without rebuilding the brief in another tool. DeepSmith is worth a bounded trial for teams whose bottleneck is moving from AI-search insight to publishable content. It is a weaker fit for an enterprise research team that needs real-user prompt-volume panels, crawler/server-log analysis, or independently established GEO performance.
02 / Scope, not promises
Track AI-search visibility, find content gaps, and produce optimized content
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Quick facts$99/month; 50 tracked prompts; 20 articles/month; 1,500 pages/month; ChatGPT tracking
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Quick facts$199/month; 100 tracked prompts; 40 articles/month; 3,000 pages/month; ChatGPT and Perplexity tracking
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Quick facts$399/month; 200 tracked prompts; 90 articles/month; 8,000 pages/month; ChatGPT, Perplexity, and Gemini tracking
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Quick factsCustom prompt, page, article, Brand Kit, and regional limits; all 9 named answer engines; onboarding and account management
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Quick factsOfficial site advertises a 7-day trial; exact trial limits appear at signup
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Quick factsDeepSmith’s public product page names mention rate, citation rate, share of voice, sentiment, and visibility trend across its tracked engines. The homepage also describes competitor visibility, cited pages, and prompt-level views. Those metrics are useful for prioritization, but buyers should ask how prompts are selected, how often each answer is collected, which model/version and region are used, how raw answers are retained, and what counts as a citation. A percentage without those dimensions is not a reproducible benchmark. Plan access matters. Pro lists ChatGPT, Grow adds Perplexity, Scale adds Gemini, and Enterprise is where the complete nine-engine set and multi-region tracking are exposed. Do not promote the Enterprise list to a universal promise for every account.
The platform describes mapping the buyer’s site and competitor sites into topics and funnel stages, with monthly page budgets that increase from 1,500 on Pro to 8,000 on Scale. This can help a content lead answer “what should we publish or refresh next?” using coverage evidence rather than an unranked keyword list. The page-credit rule is important: each page read and classified consumes a page credit, budgets reset monthly, and unused budgets do not carry over according to the current pricing FAQ. Confirm whether a crawl, recrawl, competitor map, and pending queue consume credits in the way your site architecture requires.
Pro includes 20 articles per month, Grow 40, and Scale 90. DeepSmith describes a pipeline that combines research, SEO/AEO optimization, internal and external links, a cover image, and publishing support. It also offers repurposing into social and newsletter assets. The commercial number is an article allowance, not a quality guarantee. During a trial, measure factual errors, unsupported product claims, source quality, edit minutes, duplicate phrasing, internal-link accuracy, and whether the final article answers the intended prompt. Do not compare 90 generated articles with 90 finished editorial assets without accounting for review labor.
Deep IQ supplies the context used by the production workflow. The public pricing page describes plan-limited sets of products and services, buyer personas, brand voices, content types, and visual guidelines. This is a practical defense against generic writing, but it creates a maintenance obligation. Keep ownership and review dates for product facts, prices, legal statements, prohibited claims, and customer proof. A stale Brand Kit can make an entire batch consistently wrong. Ask how context is isolated between workspaces and whether uploaded material is used for model training.
The official page lists direct publishing and names WordPress, Webflow, Strapi, Sanity, and Contentful in the comparison area. Publishing support can shorten the gap between draft approval and deployment, but the public list does not prove feature parity across every connector. Use a staging site first. Verify draft versus publish permissions, canonical tags, author and category handling, media, internal links, revisions, rollback, webhooks, and audit logs. A “publish” button is an operational integration, not proof that the resulting page is technically or editorially safe.
03 / Commercial boundaries
Terms below reflect the 2026-09-20 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
Current public price: Pro starts at $99/month; Grow is $199/month and Scale is $399/month. Annual billing lowers the displayed effective monthly prices; Enterprise is custom.
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · OverviewPublic price: $99/month; annual discount displayed separately · Main allowance: 50 prompts, 20 articles/month, 1,500 pages/month · Engine scope: ChatGPT
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Pricing and commercial boundariesPublic price: $199/month; annual discount displayed separately · Main allowance: 100 prompts, 40 articles/month, 3,000 pages/month · Engine scope: ChatGPT and Perplexity
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Pricing and commercial boundariesPublic price: $399/month; annual discount displayed separately · Main allowance: 200 prompts, 90 articles/month, 8,000 pages/month · Engine scope: ChatGPT, Perplexity, and Gemini
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Pricing and commercial boundariesPublic price: Custom · Main allowance: Custom prompt, page, article, Brand Kit, and regional limits · Engine scope: All 9 named engines and multi-region tracking
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · Pricing and commercial boundariesThe official site advertises a 7-day trial with real data and drafts. Trial limits are disclosed during signup rather than fully on the public page.
Archived research · Research dated 2026-09-20; confirm current termsResearch excerpt · OverviewThe current official pricing page exposes three self-serve tiers and an Enterprise path:
| Plan | Public price | Main allowance | Engine scope |
|---|---|---|---|
| Pro | $99/month; annual discount displayed separately | 50 prompts, 20 articles/month, 1,500 pages/month | ChatGPT |
| Grow | $199/month; annual discount displayed separately | 100 prompts, 40 articles/month, 3,000 pages/month | ChatGPT and Perplexity |
| Scale | $399/month; annual discount displayed separately | 200 prompts, 90 articles/month, 8,000 pages/month | ChatGPT, Perplexity, and Gemini |
| Enterprise | Custom | Custom prompt, page, article, Brand Kit, and regional limits | All 9 named engines and multi-region tracking |
The official FAQ says plans can be upgraded, downgraded, or cancelled without long-term contracts or cancellation fees. It also says page budgets reset monthly and do not carry over. Confirm taxes, annual renewal, article definitions, overage behavior, API limits, workspace billing, data retention, and the exact trial conversion terms at checkout.
The Software Advice listing reports a starting price of $99/month and presents a one-review 5.0/5 sample. Its pricing and product metadata are useful corroboration, but the listing is a provider-directory surface and should not override the current official plan page if the two diverge. Software Advice also discloses that it may earn referral fees.
A free trial is not a permanent free plan. Use the seven-day evaluation to test a fixed prompt panel, a representative content brief, a competitor map, CMS staging, export behavior, and the factual review process before treating any plan as a production fit.
04 / The tradeoffs
Engine coverage and usage limits are tiered, while the public independent review sample is still small.
05 / Choose by the job
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Choose DeepSmith over AirOps when: a simpler public self-serve price ladder and article-production loop matter more than AirOps’s broader enterprise content-operations and data-layer positioning. Choose AirOps instead when: you need larger-scale workflows, richer analytics integrations, or an established content-operations environment with more extensive team governance.
Choose DeepSmith over Profound when: the priority is turning visibility gaps into reviewed, publish-ready articles in the same workspace. Choose Profound instead when: prompt-volume intelligence, crawler/server-log analytics, enterprise governance, and measurement depth matter more than built-in article production.
Choose Writesonic GEO Suite when: you prefer a broader AI content suite and its plan economics fit better; compare methodology and raw-answer access rather than assuming every “GEO” label means the same measurement.
Choose MarketMuse when: content inventory, topical authority, and editorial planning are the primary job and AI-search tracking is secondary.
06 / What we can substantiate
Independent feedback is limited to the archived sources below. No hands-on test or outcome benchmark was performed as part of this layout migration.
AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.
| Source | Evidence type | Checked |
|---|---|---|
| DeepSmith official homepage ↗ | Cited in archived research | See research context |
| DeepSmith official pricing FAQ ↗ | Cited in archived research | See research context |
| Software Advice DeepSmith listing ↗ | Cited in archived research | See research context |
| DeepSmith vs Profound comparison ↗ | Cited in archived research | See research context |
| DeepSmith ecommerce comparison ↗ | Cited in archived research | See research context |
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
| Source | Public signal | What it supports | Confidence / bias |
|---|---|---|---|
| DeepSmith official homepage | AI-search analytics, mention/citation/share-of-voice metrics, competitor gaps, article production, repurposing, five homepage engines | Current positioning and vendor-described workflow | High for stated product scope; vendor-controlled |
| DeepSmith official pricing | Pro $99, Grow $199, Scale $399; prompt/page/article quotas; tiered engine access; 7-day trial language | Current public commercial units and plan boundaries | High for displayed terms; trial details remain partly signup-gated |
| DeepSmith official pricing FAQ | Page credits reset monthly, do not carry over; enterprise has custom limits; cancellation terms are described | Operational pricing questions and buyer verification points | Medium-high; official documentation, account terms still prevail |
| Software Advice DeepSmith listing | 5.0/5 from 1 review; 5.0 ease of use, 4.0 value, 4.0 support, 5.0 functionality; verified reviewer and May 2026 date shown | One directional user signal about usability, functionality, value, and support | Medium for that reviewer; very low sample size; directory/referral disclosure |
| DeepSmith vs Profound comparison | Vendor comparison reports 4.8/5 from 5 G2 reviews for DeepSmith and 4.5/5 from 1,123 for Profound | A dated, vendor-published comparison of review-volume context | Low-medium; self-published and requires canonical G2 verification |
| DeepSmith ecommerce comparison | Positions DeepSmith as analytics plus content production; states no native product-feed module in the comparison | Product boundary and ecommerce fit warning | Medium for vendor-described scope; not independent validation |
The only directly extracted product-specific review signal checked for this page is one verified Software Advice review. Its sub-scores suggest positive functionality and ease of use, with more qualified value and support scores. One reviewer cannot establish recurring themes, cancellation experience, output quality across industries, or the effectiveness of the newer AI-search modules.
The vendor’s own comparison cites five G2 reviews at 4.8/5, but that is not interchangeable with a directly checked review-platform sample. Preserve it as a vendor-reported signal and verify the canonical G2 listing before using it as current consensus. The evidence therefore supports cautious product-fit guidance, not a claim that DeepSmith improves citations or revenue for a typical customer.
Trust the official pricing page for current public allowances, while checking checkout for trial and account-specific terms. Trust the homepage for the vendor’s stated workflow, but treat “produce the content to win” as positioning rather than an outcome guarantee. Treat the one-review Software Advice signal as directional. A responsible trial should create the missing evidence: frozen prompts, raw-answer captures, before/after content markers, review time, factual-error counts, and first-party traffic or conversion records kept separately from citation metrics.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.