How to choose · GEO
GEO is not a dashboard category.
Generative Engine Optimisation is won in the site, the content and the citations, not in the report about them.
Definition
Generative Engine Optimisation (GEO) is the discipline aimed at generative search: structuring a brand's presence so systems such as ChatGPT, Google AI Overviews and Perplexity surface and cite it in the answer they generate.
Answer first
What a GEO tool actually is
Generative Engine Optimisation (GEO) is the discipline aimed at generative search: structuring a brand's presence so systems such as ChatGPT, Google AI Overviews and Perplexity surface and cite it in the answer they generate.
A GEO tool is anything sold to move that outcome. In practice the label covers three very different things: monitors that report which brands the engines cite, content tools that draft against a gap somebody else found, and engines that do the site work, publish and earn the citation. All three are called GEO tools, which is why the label alone tells a buyer almost nothing.
Foundation
SEO is the foundation of GEO
Google's own guidance says SEO best practices remain relevant for AI features, with no additional requirements for AI Overviews and AI Mode (Google Search Central, AI features guidance, 2026). The industry summarises this as "AEO and GEO are still SEO". CLEO starts at the crawl layer, where AI crawlers actually read: most major AI crawlers do not render JavaScript (Vercel/MERJ, "The Rise of the AI Crawler", December 2024, from more than a billion AI crawler fetches).
That is the whole reason the crawl layer decides this. If an engine cannot read a page without running JavaScript, no amount of reporting on the citation you did not get will change the outcome. None of the AI-visibility specialists start at the crawl layer, where the fix actually has to land.
Off-site
Your site is a tenth of the answer
The second reason a report is not enough is that a brand's own site supplies only 5 to 10% of the sources an AI engine consults when it answers (McKinsey, "The new front door to the internet: Winning in the age of AI search", 16 October 2025, drawing on its AI Discovery Survey, August 2025, n=1,927). The rest is earned: citations, reviews, community and professional platforms. A GEO tool that cannot earn off-site validation is working on a tenth of the problem.
Checklist
What to judge a GEO tool on
The seven criteria of a Presence Growth Engine, in order. Tick them against whichever option you are weighing.
One index, five surfaces
Measures all five surfaces (Maps, Search, AI Search, Social, Reviews) on a single index, with coverage shown.
Crawl-layer fixes
Starts at the crawl layer and writes fixes server-side into the CMS, not as an overlay or a ticket.
Publishes content
Publishes content, not just briefs.
Earns off-site validation
Earns and tracks off-site validation: citations, reviews and social.
Turns presence into pipeline
Turns presence into pipeline by capturing leads with names, companies and context.
Organic first, then paid
Runs organic first, then paid, in one system.
Autonomous under approval
Can run autonomously under approval, with a full action log and one-click reversal.
One centre
Every channel reads from and writes back to one model of the business, so a result on one surface changes the next proposal on another.
Contrast
They show you the gap. CLEO fills the gap.
So the question to put to any option is not how good the dashboard is. It is what happens after the reading arrives. They show you the gap. CLEO fills the gap: it writes the fix into the CMS, server-side, publishes the content through Quill, and earns the citation, then reports the AI Search score with its confidence interval so the movement is attributable rather than asserted. Acts on every surface from one centre, patent pending, and records what each action led to.
Evidence
The vendor record, dated
The vendor-by-vendor record is published separately and dated: what each vendor's own public material says it covers, whether it executes or recommends, how it executes and what approval model it describes, assessed on 18 September 2026 against public product documentation and public pricing, and re-checked quarterly.
Every vendor, test by test, with sources and dates. See the evidence.
See the evidence →A monitor measures one surface. It cannot read your reviews, your ads or your rankings into what it recommends, and it cannot write what happened after a fix back into anything. That is the difference between a monitor and a centre.
FAQ
Frequently asked questions
Any tool sold to move Generative Engine Optimisation: structuring a brand's presence so systems such as ChatGPT, Google AI Overviews and Perplexity surface and cite it in the answer they generate. The label covers monitors, content tools and full engines, so the criteria matter more than the label.
It is the same foundation aimed at a different output. Google's own guidance says SEO best practices remain relevant for AI features, with no additional requirements for AI Overviews and AI Mode (Google Search Central, AI features guidance, 2026). A site an engine cannot read cannot be cited, whichever discipline you call it.
Against the seven criteria of a Presence Growth Engine. Does it measure all five surfaces on one index with coverage shown, start at the crawl layer and write fixes server-side into the CMS, publish content rather than briefs, earn and track off-site validation, turn presence into pipeline, run organic first then paid, and run autonomously under approval with a full action log and one-click reversal? Leads is a sixth surface, tracked but not yet scored.
Because most major AI crawlers do not render JavaScript (Vercel/MERJ, "The Rise of the AI Crawler", December 2024, from more than a billion AI crawler fetches). A page an engine cannot read without running JavaScript cannot be ranked, cited or recommended, so the fix has to land in the source rather than in an overlay.
At the basis of claim, which records what each vendor's own public material says it covers, whether it executes or recommends, how it executes and what approval model it describes, assessed on 18 September 2026 and re-checked quarterly.
Keep reading
Related terms
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