GEO Tools & Resources

Updated October 20 2026: the 27-point GEO audit gains five retro-checks that reclassify a passing score. E1 index health (a 28-hour site-wide noindex cut daily AI impressions ~55%), E2 retrieval-first testing (Chen & Koudas, arXiv:2610.15033: retrieval explains ~32% of citation variance versus ~2.8% for on-page attributes, and 100% of cited pages were retrieved first), E3 measurement honesty (Penn/Northeastern randomised experiment: AI Mode cut external clicks 18.8 points), E4 off-domain share (only 2.9% of brand citations are own-domain), E5 content-type mix (comparison pages 39 AI impressions per 100 web impressions vs 5 for glossary pages). Points 24 and 25 now carry engine-count and run-count evidence.

Updated 22 October 2026: measurement now has a denominator problem - a web search ran in only **14.4%** of 66.6 million free ChatGPT responses (Ahrefs, 12 Oct), so a citation-only panel describes one answer in seven. New this cycle: the retrieval-panel vs recall-panel split with opposite fixes for each failure mode; Semrush's 2026 AI Visibility Index (13 Oct) turning mention-versus-citation into a benchmark with ranges (UK 36.7-45.3/100, US 41.4-47.4, ChatGPT weakest at 28.7-32.3); the 15 October Google link-placement change and why citation position plus a dated change-log is now mandatory instrumentation; and Adobe data putting AI-referred conversion 60% higher at 53% more revenue per visitor. Carries the four GEO metrics, the volatility evidence (9.2% URL overlap across repeated AI Mode runs), the weekly cadence and the 5-tool stack.

AI search visibility tools split into two products that share one query: software that measures your visibility, and agencies that sell you the visibility itself. Updated 1 November 2026 with a six-row table that tells the two apart, plus the numbers that settle the choice: DerivateX found 12.2% of 1,259 Google AI Overview citations on B2B software queries pointed at the recommended product's own site, with 30 of 100 queries recommending products while citing none of their pages; Ranqo Labs classified 149,912 citations and found 2.9% pointing at a brand's own domain. Also carries the eight-tool comparison (Omnia, Semrush, Profound, Peec AI, Backlinko, AthenaHQ, Otterly.AI, AI-Search), cost per 1,000 tracked responses, the four questions that separate a measurement provider from a content provider, and the red-flag list for 2026.

Updated October 20 2026: two October panels settle whether one engine is enough. Pineprompt tracked 18,792 answers across seven engines for 14 days and found only 12.9% of named brands appeared on every engine while 46.2% appeared on a single engine only, with day-to-day churn up to ~69% on Perplexity; LLM Scout found ChatGPT, Claude, Gemini and Perplexity disagreed on whether to name a tracked brand in 27.2% of 749 identical buying questions. New: an engine-sampling table, a disagreement-as-noise-floor rule, and the 5-step methodology (query set, multi-run, extraction, aggregation, trend) across ChatGPT Search, Perplexity, Google AIO, Claude and Gemini.