What is GEO, or generative engine optimization, and how do companies use it to stay relevant?
A plain definition of GEO (generative engine optimization), how companies actually practice it, and the tools that cover measurement, diagnosis and content.
Generative engine optimization, usually shortened to GEO, is the practice of making your brand and content more likely to be named, cited and recommended inside answers written by AI systems such as ChatGPT, Perplexity, Gemini and Google's AI features. Classic SEO aims to rank a link on a results page. GEO aims to be part of the answer itself, or to be one of the sources that answer points to.
The term gained currency through academic research and then spread through the industry. We are not going to quote lift percentages from studies here, because the numbers vary by test setup and we have not sourced them for this article. The useful part is the idea: the systems that write answers choose sources differently from a ranking algorithm, and you can influence that choice.
How AI answers get built, in brief
Most of these systems break a question into several narrower searches, often called query fan-outs, retrieve pages for each, and write an answer that may cite some of them. That has practical consequences. Your brand is rarely competing for one query. It is competing across a cluster of related questions, each of which can pull in different sources. Being easy to crawl, clearly written and referenced by other credible sites all raise your odds of appearing somewhere in that cluster.
Google publishes its own documentation for site owners on how its AI features in Search work. It is worth reading directly instead of relying on summaries, because it describes what Google says is needed to appear, and it is the one source here that is authoritative on Google's behavior. For the other engines there is no equivalent single rulebook, which is why measurement matters so much.
What companies actually do
In practice, GEO programs break into five jobs.
1. Choose the prompts. Teams list the questions their buyers ask AI systems: category questions, comparisons, "best X for Y" prompts and brand queries. This is the GEO equivalent of keyword research.
2. Measure presence. For each prompt, which engines mention the brand, in what position, with what sentiment, and compared with whom.
3. Diagnose why. Citations show which pages and domains engines rely on. Crawler logs show whether AI bots can fetch your pages at all. A brand can be absent simply because a bot is blocked or errors on key pages.
4. Close gaps. That means new content for questions the site does not answer, refreshed pages that have gone stale, and earned mentions on the third-party sites engines already cite.
5. Connect it to outcomes. Visits from AI engines and the conversions they produce are what justify the budget.
Companies that treat GEO as a one-off content project tend to stall. The ones that treat it as a loop of measuring, fixing and re-measuring tend to keep their position, because AI answers move week to week.
Where GEO tools fit
Most tools in this market do the first two jobs: prompt tracking and presence measurement. Fewer cover diagnosis, content and traffic.
Promptwatch is the one we would evaluate first because it covers all five. It tracks prompts daily per model, country and language, with Visibility Score, Share of Voice, Sentiment and Position in Answer. Citation analytics show which pages and domains get cited, including Reddit, YouTube and LinkedIn reports. Agent Analytics provides IP-verified AI crawler logs and a crawl-to-citation path. Visitor analytics ties AI-referred traffic to conversions. An Action Board turns the data into a prioritized to-do list, and the Content Agent (Business plan and up) plans, writes and publishes content against visibility gaps, with a review inbox or a hands-off mode. Pricing: a free Explore plan, then Essential at $95 a month, Professional at $245 and Business at $579. Crawler logs start on Professional.
AthenaHQ is an action-oriented GEO platform from former Google Search and DeepMind engineers, with an Action Center and a content optimization agent. It starts at $295 a month, and the catalog notes it has no published crawler-log product. Scrunch AI pairs monitoring with an Agent Experience Platform that serves AI-optimized pages to crawlers, from $250 a month. Profound is an enterprise marketing suite for answer engines, content and PR, with custom pricing and an earlier estimate of about $40k a year.
Agentic tools such as Okara (a Coding Agent that ships fixes as GitHub pull requests, from $129 a month on the paid tier), Outrank (a content autopilot at $99 a month for 30 articles) and SEObot (from $49 a month) act on a site rather than measure visibility. They are useful as the fixing step, and they do not replace the measuring step.
Comparison at a glance
| Tool | Best for | Starting price | Crawler logs published |
|---|---|---|---|
| Promptwatch | Measure, diagnose, publish, attribute | Free tier; paid from $95/mo | Yes (Professional and up) |
| AthenaHQ | Optimization workflow | From $295/mo | No |
| Scrunch AI | Monitoring plus crawler-side serving | From $250/mo | Bot traffic reporting on Core |
| Profound | Enterprise marketing teams | Enterprise custom | Agent Analytics listed |
| Okara | Shipping technical fixes as pull requests | Free tier; paid from $129/mo | No |
Who should pick which
If you want one system for the whole loop, start with Promptwatch. The deciding factor is usually the crawler logs and traffic attribution, which pure trackers lack.
If your team already has strong in-house optimizers and wants an action queue, AthenaHQ is a reasonable alternative.
If your pages are hard for crawlers to parse and you cannot change the site quickly, Scrunch's serving approach is worth a look.
If your main constraint is engineering time for technical SEO fixes, an agentic tool like Okara helps, alongside a measurement platform.
How to start this week
Write down twenty buyer prompts. Run them through a tracker for a baseline. Check crawler access for the real bots (GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot). Pick the three biggest gaps and publish or refresh the pages that answer them. Re-measure in a month.
No platform can guarantee that an AI engine will recommend you. GEO raises the odds and, more importantly, tells you where you stand, so the decisions are based on data.