Botify
Also known as: Botify Assist, PageWorkers, SpeedWorkers, Agentic Feeds, AgenticCatalog
Agentic AI search and commerce platform whose agents measure brand visibility across AI engines, autonomously deploy site optimizations, pre-render content for AI crawlers, and automate protocol compliant product feeds for agent driven shopping.
Botify is an AI search optimization company, founded in 2012, that has rebuilt itself from an enterprise technical SEO crawler into a platform for AI discoverability and agentic commerce.
The premise: consumers, bots, and AI agents now do the searching, AI crawlers do not render JavaScript, and roughly half of large sites' pages are invisible to them, so brands lose citations, recommendations, and revenue in AI answers.
Botify's platform combines analytics, intelligence, and autonomous action to fix that at enterprise scale, serving more than five hundred customers across thirty countries, including Ralph Lauren, EssilorLuxottica, Carolina Herrera, LuisaViaRoma, Singtel, and Bukalapak, with $85 million in venture funding.
The agentic layer is now the core of the product. Botify Assist runs multiple AI agents that automate entire workflows from analysis and insight to creation and deployment, enriched with real time data from the customer's existing tools through an MCP server connection, and generates intent optimized content grounded in real search and AI visibility data. PageWorkers deploys technical optimizations autonomously at scale, with instant, reversible changes and built in split testing, lifting some customers from four optimizations a quarter to more than fifty without engineering queues.
SpeedWorkers pre-renders and caches pages at the edge so AI bots see complete content, and AI Visibility measures brand presence across twelve AI bots and platforms including ChatGPT, Perplexity, Google AI Overviews, and Gemini. In March 2026 Botify launched Agentic Feeds, automating AI optimized, protocol compliant product feeds for OpenAI's Agentic Commerce Protocol and Google's Universal Commerce Protocol, in tech preview with a major retailer covering more than one million products and general availability planned for the second half of 2026, with AgenticCatalog auto deploying enriched SKU feeds to ChatGPT and Google.
Botify serves as the visibility and agentic commerce layer for enterprise brands, backed by managed consulting services for SEO and GEO strategy. It is a strong fit for large retailers and brands with millions of pages that need to be found and selected by AI systems, and a weaker fit for small sites or buyers wanting self serve pricing, since it is a custom priced enterprise platform with a substantial learning curve.
Vendor details
Canonical URL
https://www.botify.com
Category
GTM / revenue agent
Subcategory
AI search visibility and agentic commerce
Funding status
Independent, founded in 2012 by Adrien Menard, Stan, and Thomas, with Paris roots and New York datelined press. Botify has raised eighty five million dollars in venture funding, including a twenty million dollar Series B from Ventech and IDinvest and a fifty five million dollar Series C, and serves more than five hundred customers across thirty countries including Ralph Lauren, EssilorLuxottica, Carolina Herrera, and Singtel.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Botify combines first party analytics, competitive intelligence, paid data, and AI search performance in a proprietary unified data model, and Botify Assist is enriched with real time data from the customer's existing tools through an MCP server connection. The platform is an AWS partner, measures visibility across twelve AI bots including OpenAI and Perplexity, and Agentic Feeds targets emerging shopping protocols including OpenAI's Agentic Commerce Protocol and Google's Universal Commerce Protocol.
In practice
A retailer's prices, reviews, and promotions are rendered in JavaScript, so AI crawlers never see them. Botify's SpeedWorkers pre-renders full pages at the edge, and the brand starts getting cited and recommended in AI answers.
An SEO team's optimizations sit in the engineering backlog for quarters. PageWorkers deploys instant, reversible changes at scale with split testing, lifting deployment from four optimizations a quarter to more than fifty.
AI shopping agents are becoming the gatekeepers for a brand's category. Agentic Feeds builds and enriches protocol compliant product feeds for OpenAI and Google shopping protocols, so the products get selected instead of overlooked.
Sources & related URLs
Agentic Index coverage score
10.0 / 14 capabilities · 71%
| Integrations & Tool Calling | Full |
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Botify acts in the customer's own estate rather than only reading it: PageWorkers deploys technical optimizations directly onto the customer's live site, SpeedWorkers operates at their CDN intercepting and serving bot requests, and AgenticCatalog auto-deploys enriched product feeds to ChatGPT and Google. Around that a unified data model joins first-party crawl and log data with search console, analytics, competitive and paid sources, and Botify Assist reaches into the customer's existing tools through an MCP connection to pull real-time data. Sourcebotify.com agentic search use case and the AWS partner architecture postread 2026-09-01 |
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| Workflow Orchestration | Full |
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Botify Assist runs multiple agents that carry a workflow from analysis and insight through content creation to deployment, with SmartContent, SmartIndex and SmartLink named as agentic workflows and PageWorkers executing the deployment step at scale. The motion routes across systems rather than sitting in one screen: crawl and log data feed the analysis, generated optimizations are pushed to the live site, and enriched feeds are deployed outward to shopping protocols. Changes are instant and reversible, which is documented rollback on the deployment path. Sourcebotify.com agentic search use case and the AWS partner architecture postread 2026-09-01 |
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| Knowledge Grounding & RAG | Full |
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The corpus is the customer's own and the ingestion is the product. Botify crawls the brand's entire website, ingests its server logs, and joins that with search console, analytics and third-party data into a unified data model, then grounds content generation and Agentic Feeds in that crawl intelligence and cached content rather than in generic context. Rendered page content cached by SpeedWorkers feeds the same store, so what the agents write from is the customer's own site as it actually renders. Sourcebotify.com agentic search use case and platform documentationread 2026-09-01 |
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| Human Oversight & Guardrails | Full |
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Review before action is stated as a product property: Botify's generative AI article says all AI generated outputs are recommendations only and require human review before any action is taken, and the agentic search page shows generated meta content being reviewed, deployed and split tested in a few clicks, with PageWorkers changes reversible. Indexation pushes and pre-rendering run without a per-action gate. Sourcesupport.botify.com/en/articles/14846526-about-generative-ai-in-botifyread 2026-10-01 |
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| Security, Identity & Governance | Full |
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SAML single sign on through Okta, ADFS, Azure AD or OneLogin is enforced for every user on the account on Enterprise plans, while SCIM provisioning is stated as not supported. SOC 2 certification is named in Botify's generative AI article, and the vendor's own 2021 review describes a SOC 2 Type 1 examination by Schellman with Type 2 as the next step. The current report type and date are not stated. Sourcesupport.botify.com/en/articles/9108628-configuring-ssoread 2026-10-01 |
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| Observability & Auditability | Partial |
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Measurement is the platform's origin and it is deep: more than a thousand performance metrics computed from crawl and log data, AI Visibility tracking brand presence across twelve AI bots and platforms including ChatGPT, Perplexity, Google AI Overviews and Gemini, log analysis showing what search and AI crawlers actually fetched, and an alert panel raising early warnings on risks. None of that traces an agent; nothing reconstructs which agent ran, what it changed and why, and no execution log or audit surface for agent activity is documented, so what exists is observability of the customer's search estate rather than of the agents acting on it. Sourcebotify.com platform pages and AI Visibility product descriptionread 2026-09-01 |
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| Memory & State Persistence | Not documented |
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No agent memory is documented: nothing describes an agent retaining context from one optimization cycle or content generation to the next, and no memory layer with a stated scope or lifetime appears on the vendor's pages. The unified data model persists crawl history, log data and visibility measurement over time, but that store is the knowledge the agents are grounded in rather than state an agent carries between runs. Sourcebotify.com platform pagesread 2026-09-01 |
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| Deployment & Data Residency | Not documented |
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Delivered as cloud software with no deployment option in the customer's own environment: no self-hosted, on-premises, private-cloud or single-tenant install is documented, and no residency commitment naming regions is published. Edge delivery through SpeedWorkers is a serving architecture at the customer's CDN rather than a deployment of the platform, since rendering and caching happen on Botify's own servers. Sourcebotify.com SpeedWorkers architecture descriptionread 2026-09-01 |
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| Prebuilt Agents, Templates & Packs | Full |
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A named suite of agents and agentic workflows ships and is browsable across the vendor's product pages: Botify Assist, SmartContent, SmartIndex, SmartLink, the Content Agent, PageWorkers, SpeedWorkers and AgenticCatalog, each aimed at a named job from content generation to indexation, internal linking, autonomous optimization deployment, edge pre-rendering and product feed enrichment. Agentic Feeds adds protocol-specific packaging for OpenAI's Agentic Commerce Protocol and Google's Universal Commerce Protocol. Sourcebotify.com platform and agentic search product pagesread 2026-09-01 |
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| Triggers & Channel Coverage | Full |
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Work starts without a person asking for it: crawling and log ingestion run continuously, an alert panel raises early warnings when visibility or crawl behavior degrades, seasonal and trend shifts trigger automated content updates and instant indexation requests, and enriched feeds auto-deploy to ChatGPT and Google on their own schedule. SpeedWorkers responds to bot requests as they arrive at the CDN, which is an event trigger in the strictest sense. The agent reaches the team through alerts and reporting and reaches the outside world by writing to the live site and to shopping protocol feeds, though its channels are systems rather than conversation surfaces. Sourcebotify.com agentic search use case, alert panel and Agentic Feeds announcementread 2026-09-01 |
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| Model Flexibility & Routing | Not documented |
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No customer-facing model choice is documented. The agents generate content and optimizations without any documented model selector, provider list, bring-your-own-key option or routing policy, and the vendor does not disclose which underlying provider powers Botify Assist. The MCP endpoints on both sides are tool and data connections rather than model routing. Sourcebotify.com agentic search use case and developers.botify.comread 2026-09-01 |
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| APIs, SDKs & MCP Extensibility | Full |
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Botify publishes first-party developer documentation at developers.botify.com, describing an API whose purpose is to make the platform's data available, covering thousands of metrics computed from website crawling, server log ingestion and third-party integrations. The REST API sits at api.botify.com/v1 with an OpenAPI specification and a query language for interactive queries and bulk export jobs to S3, Redshift, Cloud Storage or BigQuery, and a hosted OAuth-protected MCP server is operated at mcp.botify.com so external agents can work with Botify data alongside the vendor's own agents. Sourcedevelopers.botify.com API documentationread 2026-09-01 |
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| Testing, Debugging & Optimization | Full |
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A change can be evaluated against a criterion before it is kept. Split testing is built into PageWorkers deployments and meta content changes, so an optimization runs against a control and the difference is measured, and the vendor documents tools to measure the direct impact of enriched feeds on AI visibility and product selection. Deployments are instant and reversible, so a losing variant can be withdrawn. The test runs on live traffic rather than ahead of it. Sourcebotify.com agentic search page and Agentic Feeds announcementread 2026-09-01 |
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| Browser & Computer Use | Partial |
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Rendering and crawling at scale are the product's foundation and both are documented. SpeedWorkers operates at the CDN level, reading, rendering and caching the customer's pages continually on Botify's own servers, intercepting bot requests and returning fully rendered versions of pages whose content would otherwise sit behind JavaScript. Alongside it SiteCrawler crawls the brand's entire website and ingests server logs. Executing JavaScript to produce a rendered page requires a browser engine, and the vendor operates it, a headless fetch and render wired into the platform. No agent driving a browser or desktop session as a user is documented; the engine renders pages rather than navigating or acting inside them. Sourcebotify.com SpeedWorkers product and dynamic rendering documentationread 2026-09-01 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Botify upgraded its MCP integration so users can ask questions, analyze data and trigger Botify agents from assistants such as ChatGPT and Claude.
Bears on: MCP / tool calling / API
View sourceBotify updated its SpeedWorkers edge network solution to allow enterprise sites to serve content directly in Markdown format to selected AI bots. Administrators can specify which AI agents receive Markdown instead of HTML and use a built-in preview tool to review the bot's reading experience.
Bears on: Agent capability
View sourcePricing
Not public; custom enterprise pricing through a demo
custom enterprise contract, scaled to site size, features, and managed services
What is public
No list prices are published. The module lineup, enterprise positioning and customer outcomes are public, and SSO is stated as included in Enterprise plans, but no rates exist on the vendor's pages.
Billing mechanics
Custom enterprise contracts negotiated with sales, typically including dedicated account management and professional services, with scope tied to site size, pages crawled, modules such as PageWorkers, SpeedWorkers, and Agentic Feeds, and optional consulting. Case studies cite thirty day time to value and five times ROI within three years.
Cost watchouts
Consulting and managed services, additional modules like SpeedWorkers and Agentic Feeds, and growth in pages crawled can raise cost well beyond an initial platform quote.
Variable cost rationale
Cost scales with site size, pages crawled, modules adopted, and managed services, so large estates pay materially more, though contracts are negotiated annually rather than metered on usage.
Additional watchouts
Confirm which modules are included in a base contract, how pricing scales with crawl volume and pages, and whether Agentic Feeds carries separate cost when it reaches general availability in the second half of 2026.
Sales call required
Yes, required for paid access
Free / trial
No free tier; demo led with dedicated onboarding
Key ambiguities
How platform modules, Agentic Feeds and consulting services are packaged and priced relative to each other; nothing on the vendor's pages states a figure.
Missing data
No public rate card and no published figure on the vendor's own pages.
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Alternatives to Botify
The closest documented capability profiles to Botify among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- lemlist9.0 / 14Adds documented Memory & State Persistence
- 11x8.5 / 14Adds documented Memory & State Persistence
- Taalk7.5 / 14A lighter documented profile than Botify
- Clay10.0 / 14Adds documented Memory & State Persistence and Model Flexibility & Routing
- Common Room9.0 / 14Adds documented Memory & State Persistence
- Conveyor9.0 / 14Adds documented Memory & State Persistence
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded