Quattr vs Wordlift in 2026: AI content agent for search surfaces vs enterprise knowledge graph infrastructure
One is a demo-gated AI agent that researches, drafts, links, and optimizes content across Google and AI answer engines. The other is a EUR 799 per month infrastructure layer that turns your site into a machine-readable knowledge graph.
Quattr
Wordlift- Quattr's GIGA agent handles research, drafting, optimization, and publishing in one workflow. Wordlift does not generate content; it builds the knowledge graph and schema that sit underneath it.
- Wordlift publishes real pricing starting at EUR 799 per month. Quattr discloses no pricing anywhere on its site and requires a demo before you see a number.
- Quattr tracks brand and content visibility across six AI surfaces: Google AI Overviews, Google AI Mode, ChatGPT, Claude, Perplexity, and Gemini. Wordlift's reporting correlates structured data deployment with AI visibility outcomes but does not monitor specific engines the way a dedicated tracker does.
- Wordlift's knowledge graph and schema automation update continuously as content changes and include dedicated e-commerce catalog enrichment with per-SKU disambiguation, something Quattr does not offer.
- Quattr's internal linking AI crawls a site, generates vector embeddings of every page, and rebuilds link structure automatically as content grows. This is a workflow feature, not a data infrastructure one, and Wordlift has no equivalent.
- Wordlift ships API and MCP (Model Context Protocol) access on both the Business+ and Enterprise tiers. Quattr lists API access as a tagged capability but does not document it on its pricing page the way Wordlift does.
- Neither tool offers a self-serve trial. Quattr bundles a trial into the demo process; Wordlift requires a sales conversation before any hands-on access at all.
Quattr and Wordlift both sell to enterprise teams thinking seriously about AI-era discoverability, but they solve different halves of the problem. Quattr is a workflow platform: the GIGA agent researches opportunities, drafts content, builds internal links, and tracks how that content performs across Google, ChatGPT, Claude, Perplexity, Gemini, and AI Overviews. Wordlift does not write content at all. It builds and maintains a knowledge graph, the entity relationships and structured data that make a site legible to search engines and AI systems in the first place. Quattr competes on execution speed across a content pipeline; Wordlift competes on the depth of the semantic layer underneath that content. Picking between them depends on which bottleneck you actually have.
The tools at a glance
Quattr
Unified SEO, AEO, and GEO platform powered by AI agent GIGA for ranking in Google, ChatGPT, Perplexity, Gemini, and Google AI Mode
Quattr is built around GIGA, an AI agent that coordinates the full content lifecycle: finding opportunities across traditional search and AI answer engines, drafting content in a brand's voice, optimizing it against predictive scoring models, and publishing it. The pitch is that teams stop switching between separate keyword tools, writing tools, and AI-visibility dashboards, and instead work from one system that already knows what it found and what it wrote.
The internal linking engine is the most concrete differentiator on the page. Quattr crawls a site, generates vector embeddings for every page, and builds an internal link structure from those embeddings, then keeps rebuilding it as new content is added. For large sites where topical authority is a known gap, this replaces a manual audit process that most teams do once a year if at all. Customers cited on the site include Simpplr, Men's Wearhouse, and Housing.com, and G2 reviewers rate the platform 4.9 out of 5 across 65 reviews.
The cost of that breadth is access. There is no public pricing and no self-serve signup; every deal starts with a demo. A free trial is included once you get through that door, but teams that want to poke at the product before a sales call are out of luck. For organizations with the staffing to act on cross-surface recommendations, that trade is probably worth it. For a smaller team evaluating on its own time, it is a real point of friction.
| Feature | Enterprise Contact for pricing |
|---|---|
| AI engines tracked for GEO | 6 (AI Overviews, AI Mode, ChatGPT, Claude, Perplexity, Gemini) |
| GIGA AI agent (research, draft, optimize, publish) | Yes |
| Internal linking AI | Yes |
| Predictive content scoring | Yes |
| Self-serve signup | No |
| Free trial | Included with demo |
Wordlift
AI-powered knowledge graphs and semantic SEO for enterprise brands
Wordlift builds automated knowledge graphs: machine-readable networks of entity relationships that connect content across an entire domain rather than tagging individual pages in isolation. Entities are identified, linked, and disambiguated without per-page configuration, and the graph updates as content changes rather than on a manual re-run schedule. It is infrastructure, not a writing tool, and it is built for the premise that AI overviews and language model citations increasingly favor content that is structured and entity-rich.
The e-commerce product enrichment feature is where the platform earns its price. Large catalogs get automatic structured attributes, pricing schema, availability markup, and SKU-level disambiguation without a developer ticket per product. Combined with entity gap analysis, which surfaces competitor entities you are not adequately covering, Wordlift gives large publishers and retailers a way to keep structured data current at a scale that manual schema plugins cannot handle. API and MCP access on every paid tier means the graph is also queryable by other systems, not locked inside a dashboard.
None of this is cheap or quick to learn. The Business+ tier starts at EUR 799 per month billed yearly, there is no freemium tier or self-serve trial, and getting real value requires a working understanding of entity relationships and schema architecture. For a small site focused purely on keyword rankings, this is the wrong tool. For an enterprise publisher or retailer where entity authority is a genuine competitive lever, it is one of the few platforms built specifically for that job.
| Feature | Business+ EUR 799/month (billed yearly) | Enterprise Custom (contact for quote) |
|---|---|---|
| Knowledge graph creation | Yes | Yes |
| Schema markup automation | Yes | Yes |
| E-commerce product enrichment | Yes | Yes |
| API and MCP access | Yes | Yes |
| Custom entity training and ontologies | No | Yes |
| White-label options | No | Yes |
Head-to-head feature comparison
| Feature | Quattr | Wordlift |
|---|---|---|
| Primary function | Unified SEO, AEO, and GEO content agent (GIGA) | Knowledge graph and semantic SEO infrastructure |
| AI content generation | Yes (GIGA drafts and publishes) | No (entity gap analysis produces content briefs, not drafts) |
| Knowledge graph / entity modeling | No | Yes (automated, continuously updated) |
| Schema markup automation | No | Yes (enterprise-scale, no per-page config) |
| Internal linking automation | Yes (vector-based internal linking AI) | No |
| Predictive / AI content scoring | Yes (predictive scoring pre-publish) | No |
| E-commerce product enrichment | No | Yes (catalog-scale enrichment and SKU disambiguation) |
| GEO / AI answer engine visibility tracking | Yes | Reporting correlates with AI visibility outcomes; not a dedicated multi-engine tracker |
| AI engines tracked | Google AI Overviews, Google AI Mode, ChatGPT, Claude, Perplexity, Gemini | Not applicable (infrastructure, not a monitoring tool) |
| API access | Yes | Yes (Business+ and Enterprise) |
| MCP (Model Context Protocol) support | No | Yes |
| Self-serve signup | No (demo required) | No (contact for pricing) |
| Free trial | Included with demo | No |
| Starting price | Custom (contact for pricing) | EUR 799/month (Business+, billed yearly) |
Considering AI Peekaboo alongside Quattr and Wordlift?
Quattr bundles AI Overview and AI engine visibility tracking into an enterprise agent that requires a demo before you see a price. Wordlift builds the entity infrastructure that helps you get cited but does not monitor whether it is actually working across ChatGPT, Claude, Perplexity, and Gemini. AI Peekaboo sits between the two: a dedicated AI visibility monitoring platform with self-serve pricing from $50 per month, a read and write API on every plan, and white-label reporting for agencies that need to prove AI citation gains without a sales call.
Read the AI Peekaboo review →Which should you choose?
QuattrWordliftQuattrWordliftWordliftWordliftQuattrThe honest way to frame this is upstream versus downstream. Wordlift is upstream infrastructure: it makes your content legible to search engines and AI systems in the first place through entity relationships and schema. Quattr is downstream workflow: it decides what to write, writes it, links it, and tracks how it performs once it is live. A content-heavy enterprise site with messy structured data and no linking strategy plausibly needs both, in sequence, rather than choosing one over the other.
Bottom line
Book the Wordlift demo first if your structured data is inconsistent or your catalog is large enough that manual schema work is not realistic, since EUR 799 a month buys genuine infrastructure depth. Book the Quattr demo if your content team is the bottleneck and you need one agent to research, draft, link, and track performance without stitching together separate tools. Neither is a fit for a small team wanting to self-serve today; both require a sales conversation before you can evaluate anything hands-on.
Frequently asked questions
Is Quattr or Wordlift better for tracking AI Overviews and ChatGPT citations?
Quattr is the dedicated visibility tracker between the two, monitoring brand and content presence across six surfaces: Google AI Overviews, Google AI Mode, ChatGPT, Claude, Perplexity, and Gemini. Wordlift's reporting shows correlation between structured data deployment and AI visibility outcomes, but it is not built as a multi-engine citation tracker in the way Quattr is.
Does either Quattr or Wordlift have public pricing I can check before a sales call?
Wordlift does: Business+ starts at EUR 799 per month billed yearly, with Enterprise as a custom quote above that. Quattr publishes no pricing at all and requires booking a demo before any number is disclosed.
Can Wordlift write content the way Quattr does?
No, Wordlift does not generate draft content. It surfaces entity gaps and content recommendations based on knowledge graph analysis, but writing and publishing happen outside the platform. Quattr's GIGA agent is built specifically to draft, optimize, and publish content, which is the core difference between the two products.
Which tool is a better fit for a large e-commerce catalog?
Wordlift is purpose-built for this. Its product enrichment feature handles SKU-level disambiguation, pricing schema, and availability markup across thousands of products without per-item developer work, and it updates automatically as catalog data changes. Quattr does not have a dedicated e-commerce catalog feature.
Do Quattr and Wordlift offer API access for custom integrations?
Wordlift includes API and MCP (Model Context Protocol) access on both the Business+ and Enterprise tiers, so entity data and structured data configurations are queryable by external systems. Quattr is tagged as having API access but does not document scope or availability on its public pricing page the way Wordlift does.
Is there a way to try Quattr or Wordlift before committing to a contract?
Not in a self-serve sense for either. Quattr includes a free trial as part of its demo process, so you get hands-on access only after a sales conversation. Wordlift has no publicly advertised trial or freemium tier at all; evaluation options need to be discussed directly with their team.