# ConvoSearch vs Miros

ConvoSearch records 270 monthly visits with -36.9% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Miros records 1,899 monthly visits with -13.7% growth and Contact for Pricing pricing.

| Metric | [ConvoSearch](https://openaitools.app/tool/convosearch) | [Miros](https://openaitools.app/tool/miros) |
| :--- | :--- | :--- |
| Website URL | https://www.convosearch.com | https://miros.ai |
| Categories | AI Search Engine, AI API, AI Sales, AI For Data Analytics | AI Search Engine, AI Shopping Assistant, AI Image Recognition, AI Marketing |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 270 | 1,899 |
| MoM Growth Rate | -36.9% | -13.7% |
| Primary Market | Philippines | United Kingdom |
| Direct Visits | 110 | 748 |
| Review Score | 3.9 | 4.3 |
| Saved Count | 1 | 4 |
| Supported Platforms | Website | Website |

## ConvoSearch

At its core ConvoSearch runs two products. The Discovery Engine handles AI-powered search, personalization and merchandising on the storefront, while the Command Center gives merchandisers a control panel for analytics and experimentation. Behind the scenes, intelligent agents track behavior in real time and use predictive customer modeling to decide what each shopper sees, which is why anecdotal results include shoppers finding products by colors or attributes that never existed as tags.

The vendor publishes aggregated performance figures from its brand partners: a median revenue increase above 25%, around 17% higher conversion, roughly a 9% lift in average order value and about 19% more product page views. Named customers include fashion and ecommerce brands such as ONEBYONE and Mommy's Trading Post, used as testimonials rather than audited case studies.

ConvoSearch is aimed at ecommerce teams that already have a functioning catalog and traffic and want to convert more of it. Onboarding is demo-led: you book a call, review integrations, and can use an ROI calculator to estimate impact for your industry, average product value and monthly traffic before signing up.

**Pricing & Plans:** ConvoSearch uses a freemium-to-enterprise model. A free trial lets teams evaluate the Discovery Engine, the Shopify app offers a low-effort starting point, and paid plans scale for growing stores and enterprises. Exact subscription pricing is not published — most visitors are routed to a demo or a sales conversation, so plan costs are quoted per project and depend on traffic, catalog size and integration needs. The vendor also advertises a free tier and contact-for-pricing options for larger deployments.

- **Semantic AI search:** Natural-language search that understands shopper intent and matches products by meaning — colors, categories, styles and attributes — even when those terms are missing from product tags.
- **Personalized recommendations:** Predictive models and intelligent agents decide what each visitor should see, serving tailored product suggestions based on real-time behavior.
- **Command Center analytics:** A control center with analytics and experimentation so merchandisers can test ranking strategies, measure conversion lift and tune results.
- **Shopify integration and API:** A prebuilt Shopify app plus integration guides and a full API reference, so stores can launch quickly and developers can build deeper custom setups.
- **ROI calculator:** A calculator that models projected revenue, purchases and conversion-rate impact for your industry, product value and traffic before you commit.

**Strengths:** Semantic and attribute-aware search that surfaces products even when tags are incomplete; Personalized recommendations driven by real-time behavior and predictive modeling; Built-in analytics and experimentation for measuring and improving search relevance; Ready Shopify integration plus documented APIs for custom stacks

**Limitations:** Pricing is not fully public — you must book a demo or contact sales for exact plan costs; Full value depends on having structured product catalog data and clean feeds; Custom (non-Shopify) implementations need developer work and take a few days to launch; Analytics and experimentation features have a learning curve for non-technical merchandisers

[Profile (Markdown)](https://openaitools.app/tool/convosearch.md)

## Miros

Miros tackles a gap that traditional ecommerce search leaves wide open: shoppers in visual categories often cannot describe what they are looking for. For fashion, furniture, footwear and decor, most intent is expressed visually or through behaviour rather than keywords, so text-based search and filters miss the products a shopper would actually buy. Miros is built specifically for that situation.

The platform works in four stages. First, it extracts thousands of visual and semantic attributes from each product image without manual tagging. Next, it interprets behavioural signals — scroll velocity, clicks, dwell time and ignored items — to build a real-time preference profile for every visitor. It then resolves contradictory signals into one coherent profile, and finally feeds that single intent layer into every discovery surface on the site: search, browse, recommendations and shop-the-look.

Miros positions itself as complementary to existing search infrastructure rather than a replacement, working alongside tools like Algolia or Elasticsearch. It publishes results from randomised A/B tests across several retailers — including conversion and GMV uplift, higher average order value and improved repeat purchases — and integrates through JavaScript widgets or a GraphQL API, with the company stating it can go live in around two weeks. Pricing is enterprise and available on request.

**Pricing & Plans:** Contact for pricing. Miros is sold as an enterprise solution with a personalised demo on your own catalogue; there is no public self-serve plan. The vendor states the average sales cycle is about 36 days from demo to production.

- **Behaviour-based intent decoding:** Miros reads scroll velocity, clicks, dwell time and ignored items to build a real-time preference profile for each visitor, without asking them to describe what they want.
- **Automatic visual and semantic attributes:** The AI extracts thousands of visual and semantic attributes per product image, so catalogues do not need manual tagging to work with the platform.
- **One intent layer across every surface:** Contradictory signals are synthesised into a coherent profile that then powers search, browse, recommendations and shop-the-look together.
- **Wordless Search:** A single visual layer for ecommerce that lets shoppers discover products through images and behaviour rather than typed keywords.
- **Quick, modular integration:** Miros is delivered through lightweight JavaScript widgets or a GraphQL API and is designed to sit on top of your existing stack.

**Strengths:** Targets visual categories where keyword search and filters perform poorly; Works alongside existing search engines instead of forcing a replacement; Needs no manual product tagging thanks to automatic attribute extraction; Published case studies report measurable gains in conversion, GMV, AOV and repeat purchases

**Limitations:** Contact-for-pricing enterprise sales model, so there is no self-serve trial; Value depends on having enough shopper traffic for behavioural signals to work; Integrating an intent layer requires engineering effort even if deployment is quick; Reported uplift figures come from vendor-run A/B tests and should be validated on your own catalogue

[Profile (Markdown)](https://openaitools.app/tool/miros.md)

## Frequently Asked Questions

### How do ConvoSearch and Miros compare in monthly traffic?

ConvoSearch has 270 monthly visits, while Miros has 1,899. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ConvoSearch has a month-over-month growth rate of -36.9%; Miros has -13.7%.

### How does pricing compare?

ConvoSearch: Freemium, Free Trial, Paid, Contact for Pricing. ConvoSearch uses a freemium-to-enterprise model. A free trial lets teams evaluate the Discovery Engine, the Shopify app offers a low-effort starting point, and paid plans scale for growing stores and enterprises. Exact subscription pricing is not published — most visitors are routed to a demo or a sales conversation, so plan costs are quoted per project and depend on traffic, catalog size and integration needs. The vendor also advertises a free tier and contact-for-pricing options for larger deployments. Miros: Contact for Pricing. Contact for pricing. Miros is sold as an enterprise solution with a personalised demo on your own catalogue; there is no public self-serve plan. The vendor states the average sales cycle is about 36 days from demo to production.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 2 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 3 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | AI academic search engine for peer-reviewed science | [.md](https://openaitools.app/tool/consensus.md) |
| 4 | [Accio](https://openaitools.app/tool/accio) | 2,766,312 | +8.3% | Freemium | Your agentic AI business team for global e-commerce and sourcing | [.md](https://openaitools.app/tool/accio.md) |
| 5 | [Gorgias](https://openaitools.app/tool/gorgias) | 2,660,498 | +2.4% | Contact for Pricing | Conversational AI and helpdesk built for ecommerce brands | [.md](https://openaitools.app/tool/gorgias.md) |
| 6 | [Flash.co](https://openaitools.app/tool/flash-co) | 741,638 | +9.9% | Free | An AI shopping agent that shortlists only the top 1% of products for you | [.md](https://openaitools.app/tool/flash-co.md) |
| 7 | [WinningHunter](https://openaitools.app/tool/winninghunter-com) | 256,635 | -15.7% | Freemium, Free Trial | Ad spy and store-tracking platform for ecommerce teams that want proof before they launch | [.md](https://openaitools.app/tool/winninghunter-com.md) |
| 8 | [GoSearch](https://openaitools.app/tool/gosearch) | 55,390 | +1.4% | Freemium | Agentic AI enterprise search with custom agents and no-code workflows | [.md](https://openaitools.app/tool/gosearch.md) |
| 9 | [Stylitics](https://openaitools.app/tool/stylitics-com) | 33,722 | -31.2% | Contact for Pricing | Retail AI platform for AI outfitting, product imagery and real-time personalization | [.md](https://openaitools.app/tool/stylitics-com.md) |
| 10 | [Rep AI: Sales Concierge for eCommerce](https://openaitools.app/tool/rep-ai-sales-concierge-for-ecommerce) | 28,849 | -36.8% | Free Trial, Paid | Agentic commerce AI that starts the sale before a shopper leaves | [.md](https://openaitools.app/tool/rep-ai-sales-concierge-for-ecommerce.md) |

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Source: https://openaitools.app/compare/convosearch-vs-miros

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
