Search marketing tooling now spans three overlapping categories: SEO tools that track rankings in traditional search results, AEO tools (Answer Engine Optimization) that optimise for being the direct answer in featured snippets and AI Overviews, and GEO tools (Generative Engine Optimization) that measure and improve how a brand is cited across AI-generated answers on ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, and Claude. The three categories share a foundation of technical accessibility, content quality, and third-party authority. Where they diverge is in what they measure, which surfaces they optimise for, and how quickly the underlying algorithms change.
What SEO tools do
SEO tools are the incumbent category. They track keyword rankings across Google (and, to a lesser extent, Bing), map backlink profiles, audit technical health, and surface content gaps against competitors. The core measurement unit is a position on a results page for a given keyword. Traditional SEO tools have been the operating system for organic marketing teams for the better part of two decades.
Most brands with a marketing budget already use one. The features are well-understood: keyword research, rank tracking, site audits, backlink monitoring, competitor comparison, and content briefs anchored to target queries. Recent additions include AI Overview tracking and AI-visibility modules, though these tend to sit as add-ons rather than as the core measurement model.
SEO fundamentals underpin both AEO and GEO. A site that is not crawlable, has thin content, or lacks authoritative external mentions will not rank in Google and will also struggle to be cited by AI engines. Any AEO or GEO programme sits on top of an SEO foundation, not instead of it. See GEO vs SEO for a deeper comparison of the two disciplines.
What AEO tools do
AEO tools focus on a narrower outcome: being the direct answer to a specific question. That means featured snippets in Google, answer boxes, People Also Ask, structured Q&A, and increasingly AI Overview inclusions. The optimisation surface is answer-shaped content, entity-optimised, schema-marked-up, structured for extraction.
Historically AEO grew out of SEO as answer-style results (featured snippets, knowledge panels) took a growing share of Google's SERP real estate. The term is Google-adjacent in origin: Google's own guidance frames answer-first optimisation as part of modern search readiness. AEO tools help brands identify which questions their content should answer, structure content in an extractable format, add the schema markup that makes it machine-parseable, and track whether the brand is winning the answer slot for its target questions.
Because AEO overlaps heavily with SEO on the technical side (schema, crawlability, page structure), many AEO features are shipped as modules inside broader SEO platforms. Dedicated pure-play AEO tools are rarer than either pure SEO or pure GEO tools.
What GEO tools do
GEO tools measure and improve citation share across AI-generated answers. The category emerged over the past 18 months as ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode began driving a meaningful share of category-level discovery, especially in B2B SaaS, consumer categories, and services. The core measurement unit is a mention or citation inside an AI-generated response to a real category prompt.
Typical GEO measurement covers: mention rate (what percentage of relevant prompts include the brand), position (first named vs fifth), sentiment (positive, neutral, or negative framing), share of voice (percentage of category mentions belonging to the brand), and per-platform variance (does the brand show up on Perplexity but not on ChatGPT?). Dedicated GEO platforms typically run continuous prompt sweeps across multiple AI engines, log the responses, and surface trends over time.
Cited's approach layers a technical readiness scan (the AI Readiness Score) on top of the outcome-tracking side, so brands can see both the input layer (is the website structured for AI crawlers?) and the outcome layer (is the brand actually cited?). Vocabulary in this category is still consolidating, so tooling shapes differ meaningfully between providers.
Where the three categories overlap
The overlap is more substantial than the marketing around each category suggests. All three depend on technical accessibility (a site that AI crawlers or Google can reach), content structure (extractable, answer-shaped, well-marked-up), and authority signals (third-party mentions, reviews, backlinks, category-relevant press). A brand that neglects these fundamentals is invisible on all three surfaces.
Measurement infrastructure also overlaps: sitemaps, schema markup, canonical tags, and crawler-access rules matter across the board. What differs is which outcome the tooling is designed to surface, and how the tool interprets the underlying data.
Where the three categories diverge
What they measure. SEO tools measure rankings. AEO tools measure answer-slot wins. GEO tools measure citations inside AI-generated answers.
Which shelf they optimise for. SEO optimises for the Google SERP. AEO optimises for the featured-answer surface. GEO optimises for multi-engine AI-generated answers where the reader may never click through.
How fast the algorithm changes. SEO algorithms update on a monthly-to-quarterly rhythm, with named updates. AI engines update on their own model-release cadence, which can be weeks. Perplexity indexes real-time web content within days.
Where the value shows up. SEO value shows up in click-through traffic. AEO value can show up as answer-slot wins with or without a click. GEO value often shows up upstream, in shortlist inclusion before the buyer visits any site at all.
How to think about which one your brand needs
The right starting question is where discovery is happening today. If category buyers still Google their way to a shortlist and click through to compare, SEO investment carries the most weight. If a growing share of category buyers type conversational questions into ChatGPT, Perplexity, or Gemini and act on the AI-generated shortlist, GEO measurement moves up the priority list. AEO tooling is often absorbed into SEO or GEO platforms rather than purchased separately.
Most brands need a foundation of all three eventually. The sequencing depends on category behaviour. See on-site vs off-site AEO/GEO effort allocation for a data-backed look at how category-level source-mix (brand-site vs marketplace vs forum) shifts the priority order.
None of this is a tool-selection recommendation. Category-shape decisions come first: which discovery surface is your buyer using, which measurement gives you the fastest signal, and which category of tooling is designed for that measurement.
Key Takeaways
- Three overlapping categories: SEO tools (rankings), AEO tools (direct-answer optimisation), GEO tools (citations across AI-generated answers)
- All three depend on the same fundamentals: technical accessibility, content structure, and third-party authority
- What differs is which outcome the tooling measures, which surface it optimises for, and how quickly the underlying algorithms change
- SEO value shows up as click-through traffic; AEO value as answer-slot wins; GEO value often as shortlist inclusion before any site visit
- Most brands need a foundation of all three eventually; sequencing depends on where category buyers are actually discovering brands today
- Category-shape decisions come first, tool selection second: pick tooling matched to the measurement you actually need