Wildbos GEO review: pricing, features & alternatives

wildbos.com/platform/geo and /pricing (read 24 October 2026). The question set is fixed on purpose: if the score changes, the market changed, and if you change the set, the chart gets a break line. The dashboard also leaves a move inside the noise margin uncoloured. Wildbos asks the questions through a link to the same models behind the consumer apps, so each question gets identical treatment each night, but it is not the live ChatGPT interface.

Credit costs from the pricing page: 2 to 62 credits per assistant answer depending on model, 250 credits for a website fix or published article, 500 for a new page, 50 per page for title and meta, 100 to edit or translate an article, and 25 per competitor per round for market research. The assistant Eva inside the dashboard is free. Worked examples on the page: 15 questions, 10 assistants, weekly is 3,840 credits (about €38 a month); 30 questions, twice weekly is about €173; 30 questions nightly is about €576.

The GEO page shows two client write-ups: The Human Edge (AI score from 1 to 9 over 19 days, AI visits per week from 181 to 601) and Schade Professionals (score from 19 to 56 in three weeks). Both are measured with Wildbos' own platform on 30 questions over a few weeks, and the pages label competitor names as hidden. Read them as vendor case studies, not independent evidence. It also lists ten review quotes from Sortlist (5.0 across 10 reviews) from named people.

Wildbos can also do the work itself: its team handles the website, content, press and reviews inside the same dashboard. The pricing page says €3,000 a month in the lead and €4,500 a month with a €3,000 pilot price until the end of 2026 in the FAQ, which includes a press release to national trade media and up to ten review interviews per month. All ten Founder places (with 20% extra credits) are taken.

Every row below is a capability we already listed for Wildbos GEO. It is the published feature set for this page, not a guess at an unpublished demo. Compare it with the Promptwatch checklist that follows.

On this listing, Wildbos GEO is a AI visibility platform for Dutch companies and agencies that want to pay per measurement, see the verbatim AI answers, and buy fixes and articles from the same balance instead of a monthly plan. What we sourced here: 22 AI models across ChatGPT, Gemini, Claude, Perplexity, Grok, Mistral, DeepSeek and Meta AI, ten on by default; Pool of 50 buyer questions in who, comparison and use-case types, 30 measured by default; Cadence from weekly to nightly, with the credit cost shown before you start; Verbatim answer text, rank among named companies, cited URLs, and mentioned versus linked kept apart; AI score with four weighted pillars: answer visibility, GEO readiness, classic SEO, technical files.

If you buy Wildbos GEO for the job above, plan a second tool (or Promptwatch) for the layers this listing does not document. Still missing here: Visitor analytics: AI-referred sessions and conversions; Content Agents that plan, write, and publish GEO pages to a CMS with a review inbox; Citation analytics at page, domain, Reddit, YouTube, and offsite level; Prompt volumes, difficulty, query fan-outs, personas, city-level geo; Prompt and citation trends (what changed between checks); ChatGPT Shopping tracking and Ads Radar; Agent Chat, Unified Actions, MCP server / REST API on paid plans. Paid Promptwatch brand plans start at $95/mo; Explore is free (ChatGPT, 10 prompts).

Wildbos GEO's public pages (and this listing) describe a narrower job than Promptwatch. Most rivals answer whether you were mentioned. Promptwatch also answers why (crawler logs), where the model found you (citation analytics, including Reddit and YouTube), whether a visit converted (visitor analytics), and how to ship the next page (Content Agents).

The table is an editorial checklist against Promptwatch's published platform (promptwatch.com/llms.txt, 2026-08-23). It is not a hidden feature list for this vendor. 'Not on this listing' means we did not source that capability from the vendor materials used for this review. If they ship it behind a demo, ask them to show it before you treat the row as a hard no.