The Jincove Blog

Nine copilot rank tracking tools compared on which plan actually includes Microsoft Copilot, what each one stores, how it behaves across a client roster, and what it costs - every cell checked against the vendor's own page, with the page we read and the date we read it beside it.

A cross-engine method: where each of the six AI engines shows named and cited, how many runs per prompt a check needs, and when to stop tracking by hand.

Eight Peec AI alternatives weighed for an agency roster, plus what Peec itself charges. Every price is linked to its source page and dated, or else MISSING.

Every vendor reports a citation percentage and almost none reports the denominator behind it. This is the capture schema, the URL rules that decide whether one page counts once or four times, the citation-rate formula with its denominator written down, and what the number still cannot tell you.

Six AI search visibility KPIs with a stated numerator, denominator and minimum sample, each one traceable back to a stored answer - plus the three metrics we leave out of a client report on purpose, and why.

An AI visibility score is one number built from vendor-chosen weights. We take a published formula apart, change its weights, and show what to report instead.

AI share of voice, measured so a client can re-run it: declare the denominator, split named from cited, repeat every run, and skip invented benchmarks.

Eight Profound alternatives compared on billing unit, engines listed, stored evidence and cost per client, with every price read on the vendor's own page on 11–13 September 2026 or marked MISSING.

What Profound pricing listed on 11 September 2026, which billing basis the vendor page defaults to, and what a roster of clients costs an agency per client.

Scrunch AI publishes two self-serve tiers, Core at $250 and Agency Core at $500. Seven alternatives for agencies, each price read on the vendor's own page.

Six Google AI Mode tracking tools compared on whether AI Mode is a named surface, single-turn versus multi-turn sampling, stored evidence and 2026-09 pricing.

Seven Google AI Overview trackers compared on trigger coverage, the cited-versus-named split, stored evidence and 2026-09 pricing, plus what is free in GSC.

Eight ChatGPT brand monitoring tools compared on engine coverage, stored evidence, multi-client support and published pricing - plus the limits none of them fix.

GEO vs AEO vs SEO explained: SEO optimizes for a ranked link, AEO and GEO optimize for the synthesized answer, measured by whether your brand is named and cited.

Twelve questions to put to any AI visibility vendor before you sign - what a good answer sounds like, and what a vague one is hiding. Including the four where our own answer is not good enough yet.

Perplexity numbers every source it uses, so cited is easy to see and mentioned is easy to miss. Here is the manual tracking method, and where it breaks.

A client SEO report built on rankings and organic sessions alone cannot explain the quarter. Here is the section order that does, and the two numbers to add.

Google AI Mode is a conversational search surface that fans one question into several sub-searches and answers in prose. How it works, and what it changes.

How to price and package GEO as an agency service line - the two real cost lines, three packaging shapes with the arithmetic behind them, what the client actually receives, and the four situations where you should decline the engagement.

Build a white-label GEO report that survives the client asking how you know. Here is the section order, the two numbers that matter, and what to leave out.

Microsoft Copilot has no analytics. Here is the agency method for tracking brand mentions in Copilot with two booleans - named and cited - backed by stored raw answers.

Google AI Mode fans one question into many sub-searches, so the brand it names depends on the whole cluster. Track mentions and citations without a black-box score.

Google AI Overviews only appear for some queries. Track them with three booleans: did an Overview trigger, did it name your brand, did it cite your domain.

Gemini sometimes grounds on Google Search and shows sources, sometimes answers from the model alone. Here is the agency method for tracking brand mentions in Gemini with two booleans and stored evidence.

Perplexity shows numbered citations and a Sources list under every answer. The agency method for reading brand mention vs citation off it - no black-box score.

Most "best GEO tool" roundups rank on engine count. Agencies buy on a different axis - client roster, white-label, and evidence you can hand a client. Here is the honest shortlist, what each tool is actually best at, and the three questions that decide it.

A repeatable GEO audit you can run across a whole client book - how to scope prompts with the client, run six engines, sort answers into quadrants, and turn the one-off audit into a monitored retainer with a report the client can check.

ChatGPT has no Search Console - no impressions, no analytics, no export. Here is the method agencies use to track brand mentions across ChatGPT and the other answer engines without trusting a black-box score, and why "citations" and "mentions" are two different numbers.

Ontology, RAG, and grounding feed your own AI so it understands your business. GEO verification is the mirror image: checking whether external answer engines named your brand and cited your domain.

Score every prompt on two booleans - brand named, own domain cited - and every AI answer lands in one of four quadrants: stronghold, conversion gap, source gap, or whitespace. Each quadrant has one fixed move.

When an AI answer links your page but never says your name, that is a conversion gap. What the mention and citation booleans mean, why the gap happens, the attribution lever you can pull, and how to monitor brand mentions in ChatGPT without a black-box score.

How SEO, PR, and brand agencies can package AI visibility monitoring as a retainer: a re-runnable evidence report where every mention and citation opens to the exact AI answer it came from.