Sight AI vs Wordlift in 2026: Slack-native content agent vs enterprise knowledge graph platform
Sight AI writes, publishes, and tracks AI engine visibility from $49 a month. Wordlift builds and maintains machine-readable knowledge graphs for enterprise catalogs and publishers, starting at EUR 799 a month with no self-serve trial.
Sight AI tracks live brand mentions across ChatGPT, Claude, Perplexity, Gemini, and Grok. Wordlift builds knowledge graphs and schema markup that are meant to influence how AI systems interpret content, but it does not monitor AI engine citations directly.
Wordlift's entry price is EUR 799 a month with no self-serve trial. Sight AI starts at $49 a month with a 7-day free trial including 7 articles.
Wordlift includes API and Model Context Protocol (MCP) access on every plan. Sight AI has no API access on any plan.
Sight AI writes original content through an AI agent. Wordlift enriches and structures content and product data that already exists; it does not generate articles.
Wordlift is built for enterprise publishers and large e-commerce catalogs. Sight AI targets content marketers and small teams running an in-house content program.
Neither tool offers white-label delivery on its standard published pricing tiers, though Wordlift adds white-label options at the custom Enterprise level.
Sight AI and Wordlift both claim a stake in AI discoverability, but they're solving the problem at completely different altitudes. Sight AI is an AI agent that writes articles, publishes them, and then watches ChatGPT, Claude, Perplexity, Gemini, and Grok to see whether your brand gets cited. Wordlift doesn't write anything and doesn't watch AI engines for mentions. It builds the structured data infrastructure, entity relationships, schema markup, knowledge graphs, that makes an entire domain legible to AI systems in the first place. One is a content production tool with a monitoring layer bolted on; the other is semantic infrastructure for organizations where entity authority is a competitive asset. The price gap alone (roughly $49 a month versus EUR 799 a month minimum) tells you these were never built for the same buyer.
The tools at a glance
Sight AI
AI SEO and content marketing agent that lives in Slack, writes and publishes articles, and tracks brand visibility across ChatGPT, Claude, Perplexity, Gemini, and Grok
Sight AI's pitch is that content production and AI visibility monitoring shouldn't live in separate tools. The agent does the keyword research, writes the article, and publishes it to your CMS, then keeps tracking whether ChatGPT, Claude, Perplexity, Gemini, and Grok are actually citing it. Everything routes through a chat interface or scheduled automations, and the Slack integration means a team can approve an agent's next move without leaving the channel they already work in.
This is a tool built for speed and accessibility rather than depth. Starter is $49 a month with a 7-day trial, which is close to an impulse decision compared to Wordlift's sales-gated pricing. The trade-off is that Sight AI never touches the structural side of AI discoverability. It doesn't build entity relationships, generate schema markup, or disambiguate a product catalog. It writes content and tells you if AI engines noticed.
There is no API on any Sight AI plan, so the visibility data stays inside its own dashboard and Slack alerts. For a solo marketer or a small content team, that's rarely a dealbreaker. For an agency or enterprise team that wants to pipe visibility data into a BI tool or a client-facing report, it's a real ceiling.
| Feature | Starter $49/mo | Pro $129/mo | Advanced $499/mo |
|---|---|---|---|
| AI credits per month | 1,500 | 5,000 | 25,000 |
| Tracked AI prompts | 10 | 50 | 250 |
| AI engines tracked | 6 | 6 | 6 |
| Scheduled automations | ✗ | ✓ | ✓ |
| Team members included | 1 | 2 | 4 |
| API access | ✗ | ✗ | ✗ |
| White label | ✗ | ✗ | ✗ |
Wordlift
AI-powered knowledge graphs and semantic SEO for enterprise brands
Wordlift treats structured data as infrastructure rather than a page-level checkbox. It automatically identifies entities across a domain, links and disambiguates them, and keeps a machine-readable knowledge graph current as content changes, no manual per-page schema work required. The stated goal is making content legible to AI overviews, language model citation systems, and agentic commerce platforms, which puts it squarely in the same AI-discoverability conversation as tools like Sight AI, just from the infrastructure side rather than the monitoring side.
The e-commerce product enrichment feature is where the depth really shows: catalogs with complex SKU relationships get structured, disambiguated, and kept current automatically, work that would otherwise mean per-product developer tickets at scale. API and Model Context Protocol access are included from the entry tier, so the knowledge graph output can feed into AI agents and other systems rather than sitting locked in a dashboard.
None of this comes cheap or fast. EUR 799 a month is the floor, there's no public trial or freemium option, and the learning curve assumes you already understand entity relationships and schema architecture. This is not a tool for a team evaluating semantic SEO for the first time on a Tuesday afternoon; it's a tool for a team that has already decided entity authority is worth enterprise-level investment.
| Feature | Business+ EUR 799/month (billed yearly) | Enterprise Custom (contact for quote) |
|---|---|---|
| Automated schema markup | ✓ | ✓ |
| Knowledge graph creation | ✓ | ✓ |
| E-commerce product enrichment | ✓ | ✓ |
| Entity gap analysis and content recommendations | ✓ | ✓ |
| API and MCP access | ✓ | ✓ |
| Custom entity training and ontologies | ✗ | ✓ |
| Custom integrations and white-label options | ✗ | ✓ |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Writes original content | Yes (AI agent researches and drafts articles) | No (structures and enriches existing content) |
| Knowledge graph / entity automation | No | Yes (automated, domain-wide) |
| AI engine citation monitoring (ChatGPT, Claude, etc.) | Yes (ChatGPT, Claude, Perplexity, Gemini, Grok) | No (not a direct AI engine citation tracker) |
| Schema markup automation | No | Yes (automated across thousands of pages) |
| API access | No | Yes (API and MCP on every plan) |
| White-label delivery | No | Enterprise only |
| Free trial | Yes (7 days, 7 articles included) | No |
| Starting price | $49/mo | EUR 799/mo |
Considering AI Peekaboo alongside Sight AI and Wordlift?

Neither of these tools gives you affordable, exportable AI visibility data. Sight AI tracks five AI engines but locks the data behind a no-API dashboard, and Wordlift's API access comes wrapped in a EUR 799-a-month semantic SEO platform that isn't built around citation monitoring at all. AI Peekaboo is a dedicated AI visibility platform with a read and write API on every plan starting at $50 a month, plus white-label reports and a Looker Studio connector. If what you actually need is affordable, exportable data on where your brand is (or isn't) showing up in AI answers, rather than a content agent or a knowledge graph platform, AI Peekaboo is the more direct fit.
Read the AI Peekaboo review →Which should you choose?
This comparison only makes sense once you separate the two layers of AI discoverability these tools address. Sight AI operates at the content and monitoring layer: write it, publish it, watch whether AI engines cite it. Wordlift operates at the infrastructure layer: build the entity relationships and schema that make content legible to those same AI systems in the first place. A team with a handful of blog posts and a Slack channel has no real use for a EUR 799-a-month knowledge graph platform. A publisher running thousands of product pages has no real use for a $49-a-month content agent that caps out at 10 tracked prompts on its entry tier.
Bottom line
Sight AI is the right call for a small or mid-size content team that wants an agent to produce work and a lightweight read on AI engine visibility without a sales call. Wordlift is the right call for an enterprise publisher or e-commerce brand where entity relationships and schema accuracy are a competitive lever, and where the EUR 799 floor is a rounding error against the content operation it supports. Trying to use Wordlift as a content-writing tool or Sight AI as a schema automation platform misreads what either one actually does.
Frequently asked questions
Does Wordlift track AI engine citations the same way Sight AI does?
No, Wordlift is not built as a citation tracker in the way Sight AI is. Wordlift's semantic SEO reporting correlates schema and structured data deployment with search performance, but it does not monitor live mentions across ChatGPT, Claude, Perplexity, Gemini, or Grok. Sight AI is the tool in this comparison built specifically for that kind of multi-engine visibility tracking.
Is Wordlift worth it for a small business or solo blogger?
Unlikely, given the EUR 799-a-month entry price and the learning curve around entity relationships and schema architecture. Wordlift is priced and built for enterprise publishers and large e-commerce catalogs, where the automation replaces significant developer and content-ops overhead. A small team is far better served by Sight AI's $49-a-month tier or a lighter-weight schema tool entirely.
Can Sight AI generate the kind of structured data and schema markup Wordlift builds?
Sight AI does not include knowledge graph creation or automated schema markup among its features. Its focus is content generation, CMS publishing, and AI engine visibility tracking. If schema automation and entity relationships across a domain are the priority, Wordlift is the tool built for that, not Sight AI.
Does either tool offer API access for building custom reporting?
Wordlift includes API and Model Context Protocol access on both its Business+ and Enterprise tiers, so knowledge graph and entity data can feed into other systems. Sight AI has no API access on any plan, which means its content and visibility data stays inside its own dashboard and Slack integration.
Which tool is better for preparing content for AI Overviews and agentic commerce?
Wordlift is explicitly built around that goal at the infrastructure level, using entity relationships and schema to make content legible to AI overviews, language model citation systems, and agentic commerce platforms. Sight AI approaches the same broader goal differently, by writing content and then measuring whether it gets cited, rather than by structuring the underlying data that AI systems read.

