Yotpo Discover ↗
Choose Dageno over Yotpo Discover when: the requirement is external AI-answer market intelligence, citations, regions, and competitive visibility rather than a product/review discovery workflow rooted in ecommerce data.
← All tools
Another direction / 01 Another direction / 02 Another direction / 03 Another direction / 04 Another direction / 05
The selection guideSource-backed research ↗
Ecommerce & AI Shopping / AI visibility & analytics
Dageno AI
AI-search market intelligence with citation, shopping, and advertising visibility
Commerce discovery
Why it stands out
Clear public Starter, Growth, and Scale pricing anchors.
Source review: · Public-source research, not a hands-on test
↗ Best for
Ecommerce teams comparing whether products appear in AI-generated buying journeys.
! Know before you buy
The official plan table describes observation and data access, but does not establish raw-answer retention, methodology detail, or outcome attribution.
01 / Editorial assessment
Is Dageno AI for you?
The AICiteKit take
Dageno is a strong candidate when the question is broader than “did our brand appear in ChatGPT?” Its current product surface connects brand visibility and cited URLs with market segments, search-intent coverage, product information, AI Shopping placements, and advertising scenarios. That can help an ecommerce team decide whether the next intervention belongs on its product pages, review coverage, merchant channels, content, or paid messaging. Dageno is worth a bounded trial for ecommerce and multi-brand teams that need AI-answer market intelligence plus shopping and advertising context. Pair it with a product-feed, analytics, and conversion stack; do not treat its visibility or placement metrics as proof of citations, rankings, traffic, sales, or revenue.
A good fit if you are…
- Ecommerce teams comparing whether products appear in AI-generated buying journeys.
- Brand and SEO teams that need cited URLs, competitors, market segments, and answer evidence in one workspace.
- Agencies managing several brands and needing Scale-level projects, exports, and API access.
- Growth teams testing whether product facts, reviews, merchant information, and selling points are represented consistently.
- Teams able to preserve raw answers and connect observations to first-party analytics independently.
Consider another option if…
- Merchants seeking a product-feed or catalog syndication system.
- Teams that only need simple daily prompt visibility checks at the lowest possible cost.
- Buyers requiring a public, independently audited benchmark of recommendation or conversion lift.
- Organizations that need every plan’s raw-answer retention, API quotas, and refresh SLAs documented before a sales or checkout step.
- Teams expecting MCP or API access to change product pages, publish content, or optimize campaigns automatically.
02 / Scope, not promises
Features & coverage
- Main job
Research and track brand, competitor, product, citation, AI Shopping, and AI Advertising visibility
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Quick facts- Named platforms/models
ChatGPT, Grok, Gemini, Perplexity, Google AI Mode, Google AI Overview, Copilot, Brave, and Dola
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Quick facts- Regions
86 countries and regions are stated on the current pricing page
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Quick facts- Starter price
$49/month displayed on the official pricing page; 1 brand/project, 50 custom tracked prompts, 2 market segments, Top 5 rankings
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Quick facts- Growth price
$199/month; 2 brands/projects, 250 prompts, 5 market segments, Top 20 rankings; adds AI Shopping, alerts, recurring reports, and MCP access
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Quick facts- Scale price
$410/month; 5 brands/projects, 600 prompts, 12 market segments, Top 50 rankings; adds AI Advertising, API, batch configuration, exports, and monthly reports
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Quick facts
Brand visibility and citation sources
Dageno’s homepage shows brand visibility by market, platform, region, competitors, and time range. Its Citation Sources section is designed to trace answers back to cited domains, URLs, and original responses, including social, community, media, and company sources. That source view can support a citation-gap investigation, but a displayed source count is not a causal attribution model. Confirm whether answers are retained verbatim, how duplicate URLs are normalized, how citations are defined, and whether the same configuration can be re-run consistently.
Search-intent and opportunity analysis
The product describes a framework of demand scenarios, competitor selling points, and niche markets. This is a planning layer: it can help a team find questions where a competitor leads or where its own product is absent. Use it to build a testable backlog, not to assume that an “opportunity” will produce demand. Validate the scenario against customer research, search data, product inventory, and business priority before publishing or changing merchandising.
AI Shopping visibility
The official homepage presents AI Shopping examples showing product appearance, competitive gaps, product information, merchant sources, and purchase channels. The pricing page places AI Shopping in Growth and Scale, and explicitly warns that data depends on platform, region, market, and whether product cards appear in actual answers. This is the most important boundary for ecommerce buyers: observing a product in an AI answer is not the same as controlling a feed, qualifying for Google Shopping, winning placement, receiving a referral, or recording a sale. Test exact product names, attributes, prices, reviews, merchant links, variants, and availability across a fixed market panel.
AI Advertising analysis
AI Advertising is listed for Scale and Custom. Dageno describes scenarios, sponsored placements, competitor messaging, and landing-page sources across ChatGPT and Google AI in its homepage examples. The public material supports ad-scenario observation, not guaranteed inventory, spend optimization, impression share, click-through rate, or revenue attribution. Ask which placements are captured, how often they are sampled, whether ad visibility is organic or account-specific, and whether the product can connect observations to an ad platform’s spend and conversion data.
MCP, API, and exports
Growth includes MCP data access so authorized external AI tools can query Dageno data. Scale adds API, batch configuration, and exports. The official FAQ says neither interface automatically modifies websites, publishes content, or performs optimizations. This separation is useful for governance. Use read-only access first, document the data scope, and confirm rate limits, retention, authentication, export format, and whether product-level evidence is included in API responses.
A focused evaluation workflow
- Confirm whether monthly or annual billing applies and obtain written limits for prompts, products, answers, exports, and retention.
- Select 10–20 representative products with stable names, variants, prices, reviews, and merchant URLs.
- Freeze a panel of branded, category, comparison, alternative, and shopping-intent questions.
- Record platform/model, country, language, timestamp, raw answer, product appearance, cited URLs, merchant source, and ad/organic context.
- Compare Dageno’s output with manual captures or a second provider on the same dates.
- Test Growth AI Shopping separately from Scale AI Advertising; do not infer one module’s coverage from the other.
- Reconcile observed product details against the canonical product feed and first-party analytics.
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-09-17 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- Pricing at a glance
Current public price: Starter is displayed at $49/month on monthly billing; Growth is $199/month and Scale is $410/month. The page also shows an annual option with savings of about 15%; confirm the checkout total and billing terms.
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Overview
- Starter
Displayed price: $49/month · Included limits and notable scope: 1 brand/project, 50 custom tracked prompts, 2 market segments, Top 5 rankings; citation performance and answer/URL review
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Plans, pricing, and usage limits- Growth
Displayed price: $199/month · Included limits and notable scope: 2 brands/projects, 250 prompts, 5 segments, Top 20 rankings; adds AI Shopping, issue/opportunity evidence, alerts, recurring reports, MCP
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Plans, pricing, and usage limits- Scale
Displayed price: $410/month · Included limits and notable scope: 5 brands/projects, 600 prompts, 12 segments, Top 50 rankings; adds AI Advertising, multi-brand comparison, API, batch configuration, exports, monthly reports
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Plans, pricing, and usage limits- Custom
Displayed price: Quote · Included limits and notable scope: Custom platforms such as Amazon Alexa, SSO, specialized integrations, and procurement support
Archived research · Research dated 2026-09-17; confirm current termsResearch excerpt · Plans, pricing, and usage limits
- Free access & trial
A permanent free plan or current trial entitlement is not established in the archived summary. Confirm eligibility, scope and billing terms with the provider.
Needs confirmationResearch excerpt · Plans, pricing, and usage limits
Pricing context & qualifications
The current official Dageno pricing page, checked September 17, 2026, displays monthly and annual billing options and says annual plans save about 15%.
| Plan | Displayed price | Included limits and notable scope |
|---|---|---|
| Starter | $49/month | 1 brand/project, 50 custom tracked prompts, 2 market segments, Top 5 rankings; citation performance and answer/URL review |
| Growth | $199/month | 2 brands/projects, 250 prompts, 5 segments, Top 20 rankings; adds AI Shopping, issue/opportunity evidence, alerts, recurring reports, MCP |
| Scale | $410/month | 5 brands/projects, 600 prompts, 12 segments, Top 50 rankings; adds AI Advertising, multi-brand comparison, API, batch configuration, exports, monthly reports |
| Custom | Quote | Custom platforms such as Amazon Alexa, SSO, specialized integrations, and procurement support |
Dageno says all models and regions are open on standard plans with no separate model or region charges. That does not mean usage is unlimited: the FAQ says a prompt multiplied by models/platforms and countries/regions counts separately. Ask for the expected monthly usage for the actual panel, not only the nominal prompt allowance.
The page also states that AI Shopping begins at Growth and AI Advertising at Scale. Confirm whether a selected product catalog, product identifiers, merchant data, raw answers, exports, and historical data are included in the contracted package. A free check on the homepage is a diagnostic entry point, not evidence of a permanent free plan.
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- Clear public Starter, Growth, and Scale pricing anchors.
- Separates AI Shopping and AI Advertising entitlements by plan.
- Connects visibility metrics to cited domains, URLs, and original answer context.
- Includes regional and competitor comparisons in the market-intelligence workflow.
- Useful distinction between MCP access and the higher-tier API/export capability.
Reasons to pause
- Prompt usage multiplies across platforms/models and countries/regions, so nominal allowances can be consumed quickly.
- Public pages do not fully document raw-answer retention, query construction, model versions, sampling repeatability, or refresh SLAs.
- AI Shopping observation is not product-feed management, placement control, referral, or sales attribution.
- AI Advertising analysis does not establish spend, impressions, clicks, or conversion performance.
- Product-level SKU coverage, feed integrations, variant handling, and price freshness require confirmation.
The official plan table describes observation and data access, but does not establish raw-answer retention, methodology detail, or outcome attribution.
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Rank Prompt ↗
Choose Dageno over Rank Prompt when: you need broader brand, citation, shopping, and advertising scenario analysis instead of a narrower product-recommendation tracking workflow.
Algolia ↗
Choose Algolia instead when: the primary problem is owned-site search, product discovery, merchandising, and onsite relevance—not measuring public AI-answer visibility.
Nosto ↗
Choose Nosto instead when: personalization and ecommerce conversion workflows on owned properties matter more than external AI-answer observation.
Boost AI Search & Discovery ↗
Choose Boost AI Search & Discovery instead when: the buyer needs an ecommerce search/discovery layer and catalog experience rather than an external AI visibility intelligence platform.
06 / What we can substantiate
Reviews & evidence
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.
Sources & original verification dates
| Source | Evidence type | Checked |
|---|---|---|
| Dageno official homepage ↗ | Cited in archived research | See research context |
| Dageno official pricing ↗ | Cited in archived research | See research context |
| Dageno changelogs ↗ | Cited in archived research | See research context |
| Progressive Robot review, April 17, 2026 ↗ | Cited in archived research | See research context |
| SourceForge Dageno listing ↗ | Cited in archived research | See research context |
Original review evidence & date context
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
Evidence snapshot
| Source | Public signal | What it supports | Confidence / bias |
|---|---|---|---|
| Dageno official homepage | Brand position, citation sources, search-intent opportunities, AI Shopping, AI Advertising, 12,000+ market segments, 10+ mainstream models claimed | Current product positioning and described workflow | High for vendor-stated scope; vendor-controlled, not outcome proof |
| Dageno official pricing | Starter $49/month; Growth $199/month; Scale $410/month; plan limits; nine named platforms/models; 86 regions; prompt multiplication rule | Current displayed commercial terms and plan gating | High for displayed terms; checkout and account entitlement still require verification |
| Dageno changelog | June 12, 2026 update says 60+ regions and 30+ languages are live; earlier releases mention Audit Agent and Issues Panel | Dated product rollout context | Medium; official release notes, not independent validation or proof every plan receives each capability |
| Progressive Robot review | Describes AI visibility, citations, intent, entity, content, and enterprise positioning; published April 17, 2026 | Directional workflow and product-context evidence | Low-medium; editorial review, not a controlled test, and current pricing extraction there is older/incomplete |
| SourceForge Dageno listing | Product identity confirmed; 0.0/5 displayed with zero ratings/reviews; free/free-trial metadata | Evidence scarcity and directory presence | Low; zero reviews must not be read as a zero-quality rating, and provider metadata may be stale |
Feedback themes and evidence limits
The available independent material is descriptive rather than a mature review sample. Progressive Robot presents Dageno as a unified AI visibility and GEO platform and discusses its modules, but does not publish a reproducible benchmark of citation accuracy, shopping placement, or conversion lift. SourceForge lists no product reviews, so there are no recurring verified user themes about onboarding, support, data quality, cancellation, or ROI.
The strongest evidence concerns what Dageno currently says it measures and how its plans are partitioned. The weakest evidence concerns whether its observations are complete, repeatable across time, or predictive of business outcomes. Buyers should preserve raw answers and compare a sample with a second provider before treating a trend as a decision-grade signal.
- Official homepage: dageno.ai
- Official pricing and limits: dageno.ai/pricing
- Official release notes: Dageno changelogs
- Independent product coverage: Progressive Robot review, April 17, 2026
- Independent directory evidence: SourceForge Dageno listing
- Verification date: September 17, 2026
- Evidence note: Official pages were checked for current scope, pricing, plan limits, platform coverage, and AI Shopping/Advertising boundaries. Independent sources were checked for product identity and external feedback volume. No source checked here independently proves citation lift, recommendation lift, traffic, conversions, or revenue.
Research notes & unresolved discrepancies
- This page reorganizes previously published research. It is not a fresh price check or a hands-on test. Refer to source-specific dates and qualifications in the research context below.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.