WikiAlerts™ is a free Wikipedia monitoring tool we built and made publicly available at wikialerts.fiveblocks.com. Users add the Wikipedia pages they want to watch – their company page, executive biographies, brand pages, competitor pages – and receive email notification the moment any of those pages is edited, with a diff view showing exactly what changed. A one-click revert option is available for clear vandalism. The tool was built because conventional monitoring services either miss Wikipedia edits entirely or flag them so slowly that the damage is already cached, copied, and quoted by AI engines by the time a comms team finds out.

Topic setup is a five-step wizard inside the platform. Step one is Subject: the brand, person, product, or theme being tracked. Step two is Prompts: the specific questions the AI engines will be asked – we suggest a starter set and most users add their own. Step three is Models: which of the eight engines to query (the default is all eight). Step four is Tags: optional labels for organizing topics across a portfolio. Step five is Save, at which point the first round of queries fires automatically and initial results appear within 15-20 minutes. From there the topic polls daily on the schedule.

For every topic, AIQ runs identical prompts against ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode in parallel, and exposes the differences directly. The multi-model comparison view sits next to the source attribution: when ChatGPT is telling one story and Gemini another, the platform shows which sources each engine is pulling from. That source-level diagnostic is the actionable layer. A brand is rarely uniformly well or badly described across all eight engines; the picture is usually mixed, and the leverage points are different per engine. AIQ shows the differences and the sources driving them, which is the information a comms team needs to decide what to do.

Anyone whose Wikipedia article (or that of an executive, brand, product, or competitor) matters enough to know about edits in real time. Most active subscribers are corporate communications teams, PR firms monitoring client pages, in-house counsel watching for legal-sensitive language, executive offices watching personal biographies, and investor relations teams tracking competitor pages. WikiAlerts is free, so the practical threshold is interest, not budget.

For each topic, AIQ runs the user’s prompts against each of the eight tracked engines – ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode – on a daily polling schedule. The full response is captured, the cited sources are extracted and classified, the sentiment is scored, and the narrative themes are tagged. The result is a longitudinal record: not just what each engine said today, but how the story has shifted week over week, which sources are gaining weight, and where the engines diverge from each other. That last point matters – the same prompt to the same brand can return materially different answers across the eight engines, and AIQ is built specifically to expose those differences.

The four platforms cover the four layers of modern reputation: IMPACT™ for Google search, AIQ™ for AI engines, WikiAlerts™ for Wikipedia, and GeoSearch for geographic search variation. Each was built because the off-the-shelf alternatives could not produce the depth or cadence we need to do the work. The IMPACT keyword universe is roughly two orders of magnitude larger than what a typical SEO platform covers per client. AIQ polls eight engines daily where most tools cover one or two. WikiAlerts flags edits in real time where generic monitors lag by days. GeoSearch eliminates the VPN-and-proxy cycle that a comms team would otherwise need to see Google in a different market. The practical effect on engagements: strategy decisions reflect current data rather than spot checks, and threats are caught early enough to act on.

WikiAlerts™ is free, standalone, and open to anyone. Users sign up at wikialerts.fiveblocks.com, add the Wikipedia articles they want to monitor, and receive notifications when those articles are edited. No Five Blocks engagement is required. Many users have never been Five Blocks clients and never will be. The tool exists because real-time monitoring of Wikipedia is foundational to any modern reputation program, and making the monitoring layer free lowers the barrier for the rest of the industry. Where users do become clients, WikiAlerts integrates with the rest of the program; where they do not, the tool continues to do its job for free.

The number of topics included depends on the plan tier, with higher tiers adding capacity and the enterprise tier scaling to whatever the engagement requires. As a benchmark, most single-brand subscribers run three to ten topics: the corporate brand, one or two executives, a couple of products or themes, and a crisis-watch topic. Portfolio investors and large agencies routinely run dozens, since each portfolio company or client gets its own topic set.

Client reporting at Five Blocks is direct from the platforms, not retrofitted from manual checks. IMPACT™ data drives the search progress section: keyword movement, share-of-voice against named peers, classification of every ranking URL, and SERP feature presence. AIQ™ drives the AI narrative section: what each of the eight engines said this period, the source attribution, the sentiment trend, and the peer comparison. WikiAlerts™ logs feed the Wikipedia activity section. Each section ties back to the program goals defined at the start of the engagement, so a CCO can show the board exactly what changed this month and how it ladders to the strategic objectives, with the underlying data available on request.

GeoSearch lets us run a Google query from any of hundreds of specific cities and countries worldwide and see exactly what a searcher in that location would see. No VPN, no proxy, no manual configuration. The use cases are constant in our work: a CCO in New York needs to know what the company’s executive page looks like to a Frankfurt journalist; an IR team needs to see whether a contested headline is dominating the SERP in Singapore the way it is in London; a Wikipedia article change needs to be checked against geo-specific results. GeoSearch produces that view in seconds.