If you sell to anyone who uses ChatGPT, Gemini, or Perplexity to research vendors, your visibility problem is no longer about Google rankings. It’s about whether the AI mentions you when someone asks for “the best X for Y.”
That’s the gap generative engine optimization (GEO) tools are designed to close. Some only measure what AI is saying. Some help you produce content that AI is more likely to cite. A smaller group does both, in a loop.
This article walks through 11 tools I’ve worked with — what each is genuinely good at, where they break down, and what they cost. The point isn’t to crown a winner; it’s to help you pick the one that fits the job you’re actually trying to do.
If you came here looking for:
- A practical comparison of GEO tools, not a glossary
- The differences between AI mention monitors, citation trackers, and full GEO platforms
- Real pricing — not “Contact us” — this is for you.
What is generative engine optimization (GEO)?
GEO is the work of getting your brand into AI-generated answers. When someone asks ChatGPT “best AI visibility tools for B2B SaaS,” GEO is what determines whether your name shows up. It’s adjacent to SEO but the win condition is different: AI engines synthesise answers, they don’t show ten blue links.
A GEO tool — depending on which kind it is — typically helps you with some combination of:
- Tracking what AI is saying. Which prompts mention you, how often, with what sentiment, and which competitors are getting the slot you want.
- Understanding citations. Which third-party pages, articles, and sources AI is pulling from when it answers a category question.
- Acting on the gaps. Producing content, updating site structure, or earning third-party mentions that change which sources AI selects next time.
- Reporting it. Turning all of the above into something a CMO or client can actually read.
The tools below split into three broad camps. Some only do one of those four things. The most useful ones do at least three.
How GEO actually works
Underneath the dashboards, every GEO platform is doing variations of four things:
- Identifying the prompts that matter. Discovery prompts (“best CRM for…”), comparison prompts (“X vs Y”), and category-defining questions where AI recommendations move pipeline.
- Querying AI engines on a schedule and parsing the answers — extracting brand mentions, cited URLs, and competitor presence.
- Looking at what’s behind the citations — which pages, domains, and entities the AI is leaning on when it builds its answer.
- Pointing at what to do next — content updates, FAQ tightening, third-party PR, structural fixes — and ideally measuring whether those changes moved the needle.
If a tool only does step 2, it’s a monitor. If it does 1 through 3 but stops short of 4, it’s a tracker. If it does all four and closes the loop, it’s a platform.
At-a-glance comparison: 11 GEO tools
|
Tool |
Best for |
What it’s actually good at |
AI engines tracked |
Pricing (Monthly) |
Free trial |
|
HeyAmos |
Teams that need to improve AI visibility, not just watch it |
Measure-recommend-publish loop with a built-in Content Agent |
ChatGPT, Gemini, AI Overviews, Perplexity, Claude, Google AI Mode, Deepseek |
From $99 |
Free trial |
|
SE Ranking |
SEO teams who want one dashboard for SEO + GEO |
AI visibility correlated with rankings and backlinks |
ChatGPT, Gemini, AI Overviews, Perplexity |
From $103.20 |
14 days |
|
Writesonic |
Teams where content production is the bottleneck |
High-volume AI writing aligned to question-based intent |
Indirect (content-first) |
From $249 |
Yes |
|
Goodie AI |
Brand teams that want pure mention monitoring |
Prompt-level brand-mention tracking |
Multiple LLMs |
Custom |
Demo |
|
GetCito |
Teams optimising for being a cited source |
Citation source intelligence and authority mapping |
Multiple LLMs |
From $299 |
Limited free plan |
|
AthenaHQ |
Enterprises with executive reporting needs |
Cross-model dashboards built for the C-suite |
Multiple LLMs |
From $295 |
Demo |
|
Rankscale AI |
Teams that want a single visibility score |
AI visibility scoring and benchmarking |
Multiple LLMs |
From €20 |
Yes |
|
Peec AI |
Teams just starting GEO |
Lightweight mention alerts and dashboards |
Multiple LLMs |
From €89 |
Yes |
|
Profound AI |
Global brands wanting brand-perception analytics |
LLM brand exposure and framing analysis |
Multiple LLMs |
From $99 |
Demo |
|
Alli AI |
Large-site teams needing on-page automation |
Bulk technical and on-page SEO automation |
Indirect (execution-first) |
From $299 |
Yes |
|
Frase |
Content teams building topical coverage |
Content briefs and question clustering |
Indirect (research-first) |
From $49 |
Yes |
How I picked these 11
There’s a lot of noise in this category. Half the “GEO tools” you’ll find in a Google search are SEO products with a new label. The 11 here passed six filters:
- They actually query AI engines. Real prompt outputs, not synthetic visibility scores.
- They cover more than one model. Or, if they don’t, they’re useful enough at what they do (e.g. content tooling) to include anyway.
- They work at the prompt level. Topic-level dashboards aren’t actionable enough to base decisions on.
- They give you a competitor view. AI visibility is relative — you need to see who’s winning the slots you’re not.
- They connect to action, even loosely. Either by recommending what to do, generating content, or making downstream execution faster.
- They report well enough to share with a CMO or client. Exports, dashboards, or both.
A few tools I deliberately left off: anything that’s purely an SEO rank tracker rebranded with “AI” in the name, anything that runs prompts but doesn’t store history (so you can’t see trends), and anything I couldn’t get a working trial or demo on.
The 11 best GEO tools, one by one
1. HeyAmos — measurement and execution in one loop
HeyAmos closes the loop between “we know what AI is saying” and “we did something about it” in a single workflow. Most tools stop at the dashboard. HeyAmos is built to take the next step.
The core idea: track visibility on the prompts and topics that move pipeline, see which competitors are taking the citation slots you want, get a weekly list of prioritised actions, and – when you’re ready – execute on those actions using the HeyAmos content agent and partner ecosystem. The next tracking cycle picks up the impact, and the recommendations get sharper; it’s a self-improving system that compounds.
Key features
- AI brand-mention and citation tracking across ChatGPT, Gemini, Google AI Overviews, and Perplexity
- Prompt-level visibility broken out by topic, competitor, and source
- Weekly reports that translate the data into a ranked list of next actions
- Content Agent – turns a recommendation into a draft built for AI citation, with your brand inputs and supporting data folded in
- Media partnerships – HeyAmos gets you a shortlist of what external sources to prioritise for maximum AI Visibility impact, and then helps you buy or influence the relevant placements directly through their extensive partner and media ecosystem.
- MCP server – connects HeyAmos into the tools you already run (so GEO actions feed your existing content workflow and strategy, not the other way round)
- Multi-brand and agency workflows with white-label reporting
- Direct access to GEO experts when you want a human in the loop
Pros
- The most complete platform for combining tracking, prioritisation, and content production in one workflow
- Compounding system – every cycle improves the recommendations
- Built for both in-house and agency use, with proper multi-client support
Cons
- Designed for teams that will publish and iterate. If you only want passive monitoring, you’ll use a fraction of it
- Time-to-impact depends on category competitiveness and how fast AI engines re-crawl your sources
Pricing
- From $99/month. Custom plans for agencies and enterprises. Free trial available.
How fast does it actually work? Three real customer outcomes:
- Relivo, a Scandinavian DTC nutrition brand competing with AG1, was being cited by ChatGPT and Gemini within 30 days of publishing a HeyAmos-recommended “Relivo vs AG1” comparison page. Their post-checkout survey started showing new customers who said they found the brand through AI search.
- Sieve AI, a compliance SaaS for CPG brands, went from 0% to 60% visibility on ChatGPT for their top discovery and comparison prompts after running weekly HeyAmos cycles and tightening their FAQ content.
- Fielddrive, an eventtech SaaS used the HeyAmos content agent to publish AI-optimised blog posts and saw those posts being cited and driving visibility lifts within 3 weeks.
Verdict: If your goal is to improve AI visibility – not just observe it – HeyAmos has the most complete toolbox on this list.
2. SE Ranking — GEO bolted onto a real SEO suite
SE Ranking is a long-running SEO platform that has added an AI-visibility layer to its existing suite. For teams already running SEO operations in their dashboard — keyword tracking, audits, backlinks — being able to view AI mentions alongside ranking shifts in the same place can be a useful workflow advantage. It may help surface when AI visibility moves alongside a SERP feature win, a new content launch, or a competitor’s link build, though the strength of that signal will vary by category.
One tradeoff worth flagging: based on publicly available information, the AI-visibility features appear to be packaged as an add-on rather than part of the base plan, and the broader SEO suite carries the onboarding curve you would expect from a mature product. For SEO-led organisations, that may be a reasonable price to pay. Teams looking specifically for a GEO-first tool may find it less of a natural fit.
Key features
- Mention and citation tracking across ChatGPT, Gemini, Google AI Overviews, and Perplexity
- Prompt-level monitoring tied to keywords, landing pages, and competitor sets
- One dashboard for AI visibility, organic rankings, traffic, and SERP features
- Backlink and authority data alongside the AI metrics
- Reports, CSV exports, white-label, plus integrations with GA, Search Console, and Looker Studio
Pros
- SEO data and AI-visibility data appear to live in the same dashboard, rather than as a separate side panel
- Agency tooling for managing multiple clients
- Mature product with established reporting features
Cons
- AI tracking appears to be priced as a separate add-on
- Onboarding can take longer than for purpose-built GEO tools
- No built-in content execution layer that we’ve identified
Pricing
- Core: $103.20/month (annual)
- Growth: $233.20/month (annual)
- AI-search add-on: from $71.20/month, depending on prompt volume
- 14-day free trial
Verdict: Likely a good fit for teams where SEO is already the operational home and AI visibility belongs in the same window.
3. Writesonic — content production speed for GEO programs
Writesonic is positioned primarily as an AI writing platform, with optimisation features layered on. It earns a place on this list because content velocity is often a bottleneck for GEO programs — many teams know what to publish, they just need to ship it. Writesonic can help with that part of the workflow.
From what we’ve seen, it isn’t designed to tell you whether the content is being picked up by AI engines — dedicated AI mention tracking doesn’t appear to be part of the core product, so most teams pair it with one of the monitoring tools below. As a writing tool aimed at category overviews, comparisons, and FAQ pages — formats that often surface in AI answers — it can be a useful production engine.
Key features
- AI-assisted writing across blog posts, landing pages, and product copy
- SERP and competitor research for content briefs
- Answer-style structuring designed for AI engines
- Workflow tools for shipping content at scale
Pros
- Fast to draft and iterate
- Output tends to be serviceable for the formats GEO programs lean on most
- Generally accessible for non-technical teams
Cons
- Doesn’t appear to include AI citation or visibility tracking
- Output typically still benefits from editorial review before it’s citation-grade
- Pricing can climb with usage
Pricing
- From $249/month
- Higher-tier custom plans available
- Free trial included
Verdict: Worth considering when writing throughput is the main bottleneck — most teams will want to pair it with a tracker to understand what’s working.
4. Goodie AI — focused on prompt-level mention tracking
Goodie AI is positioned more narrowly than a full SEO suite. Its primary focus appears to be tracking how often a brand surfaces inside AI answers, presented in a way that tends to be easy to read. For brand teams looking for a dedicated AI monitoring tool without onboarding into a heavier stack, that focus may be a draw.
The interface is generally clean and the trend views are reasonably straightforward. The tradeoff is what sits after monitoring: based on what we’ve seen publicly, there isn’t a built-in execution layer, and integrations with traditional SEO data appear to be relatively light. It looks more like a tracker than a full platform.
Key features
- Prompt-level AI mention tracking
- Brand mention frequency and trend dashboards
- Competitive AI share-of-voice
- Citation frequency analytics
Pros
- Focused, AI-first interface
- Quick to onboard
- Useful for teams that just want a clear visibility picture
Cons
- Limited technical SEO or backlink integration based on publicly available information
- No built-in content execution layer that we’ve seen
- Custom pricing can make upfront budgeting harder
Pricing
- Custom
- Demo on request
Verdict: A reasonable option if monitoring is the only job you need done — most teams will pair it with separate execution tools.
5. GetCito — citation intelligence as the centre of the program
Most monitoring tools focus on whether you’re mentioned. GetCito’s pitch is more about why — mapping which sources AI engines appear to lean on when answering a question, and how often a given domain shows up in those source sets versus competitors. For teams that already think of AI visibility as downstream of authority and citations, that angle can be especially useful.
It appears to be deliberately narrow in scope. From what we’ve seen publicly, content workflow and traditional SEO data aren’t part of the core product. The value tends to come from visibility into the citation graph and using it to prioritise digital PR, third-party placements, and authority work.
Key features
- AI citation source tracking
- Authority and influence analysis on cited domains
- Competitor citation comparison
- Brand exposure across multiple AI engines
Pros
- One of the more focused views of citation ecosystems on this list
- Can be useful input for digital PR and link-building strategy
- May help prioritise which third-party placements are worth chasing
Cons
- No content production tooling that we’ve identified
- No traditional technical SEO layer that we’ve seen
- Pricing can feel high for a single-purpose tool
Pricing
- From $299/month
- Limited free plan available
- Custom enterprise tiers
Verdict: Worth a look when your strategy leans on earning the citation slots AI engines already appear to use.
6. AthenaHQ — built for executive reporting at scale
AthenaHQ appears to be aimed primarily at larger organisations where AI visibility data needs to be presentable to senior stakeholders. The dashboards seem to be built with that audience in mind, with segmentation that can work at brand-portfolio level and reporting framed around market-level questions rather than prompt-by-prompt tuning.
For smaller mid-market teams, it may feel like more product than they need at the price point. For enterprises tracking visibility across multiple product lines or regions, the cross-model view and stakeholder-friendly reporting can be a useful fit.
Key features
- Cross-model AI visibility dashboards
- Brand-portfolio and category-level segmentation
- Competitive benchmarking across markets
- Forecasting and trend modelling
Pros
- Reporting tends to suit enterprise contexts
- Useful for portfolio-level analysis
- Generally presents well in stakeholder meetings
Cons
- Likely more than smaller teams need
- Can be heavier to operationalise without a dedicated owner
- Sits at the premium end of the pricing range
Pricing
- From $295/month, custom enterprise tiers above
- Demo on request
Verdict: Worth considering when AI visibility needs to be presented alongside P&L-level conversations.
7. Rankscale AI — the visibility-score approach
Rankscale AI’s pitch, as best we can tell, is to turn AI visibility into a single score that can be tracked over time. For teams looking for a quick benchmark on “are we improving?” without wading through prompt-by-prompt detail, that score-first model can be a reasonable starting point.
The tradeoff is that a score is a summary, not a diagnosis. Teams can see that visibility moved without always knowing why, which often means leaning on other tools or manual investigation when the number drops and someone asks what happened.
Key features
- AI visibility scoring across prompts and models
- Competitor benchmarking by score
- Model-level performance comparison
- Trend dashboards
Pros
- Generally easy to communicate progress upward
- Entry pricing tends to be on the affordable side
- Quick onboarding
Cons
- A score-first design can obscure some of the diagnostic detail
- Integration with the wider SEO stack appears to be relatively limited
- Some teams may outgrow it once they need a dedicated execution layer
Pricing
- From €20/month
- Free trial available
Verdict: A reasonable starter option — can be useful for validating that the channel matters before investing in a heavier platform.
8. Peec AI — minimum viable AI monitoring
Peec AI tends to be a relatively low-friction option: set up tracked prompts, get alerts when mentions change, watch the dashboard. It can be a reasonable shape of tool for teams just starting to take AI visibility seriously, who want a fast way to see whether it’s a real channel in their category before committing budget.
It’s also the kind of tool that some teams may outgrow as their programs mature. Based on what we’ve seen, deeper competitive segmentation, content recommendations, and an execution layer don’t appear to be central to the product. Useful as a starting point; potentially less useful once a program is more established.
Key features
- AI mention tracking with alerts
- Prompt-based dashboards
- Basic competitive view
Pros
- Generally easy to set up
- Entry tier tends to be on the affordable side
- Clean interface
Cons
- Depth in competitor and citation analysis appears limited based on publicly available information
- No built-in execution layer that we’ve seen
- Teams may look to move on as their programs mature
Pricing
- From €89/month
- Free trial
Verdict: Useful for validating the channel; teams scaling a more mature program may want a heavier tool alongside or in place of it.
9. Profound AI — brand-perception analytics for AI answers
Profound AI sits more toward the analytics-heavy end of the market. Beyond counting mentions, the product appears to analyse how AI engines describe a brand — sentiment, framing, the language used, the comparisons drawn. For brand-led organisations where how a brand is talked about matters as much as how often, that can add a layer that pure monitoring tools tend not to provide.
It seems geared toward larger teams with the headcount and budget to act on perception data. For a small marketing team focused mainly on winning Discovery prompts, the depth here may go beyond what they can practically use.
Key features
- Cross-model AI visibility tracking
- Brand framing and perception analysis
- Executive dashboards
- Competitor exposure analytics
Pros
- Among the deeper offerings on the narrative side of AI visibility
- Stakeholder reporting tends to be a strong point
- Designed to scale across brand portfolios
Cons
- Generally built with enterprise scale in mind
- Execution tooling appears more limited
- Entry plan typically appears to involve custom consultation
Pricing
- From $99/month, with enterprise tiers above
- Custom consultation required
Verdict: Worth considering for global brands where AI is starting to shape brand narrative, not just lead generation.
10. Alli AI — execution plumbing underneath a GEO program
Alli AI is positioned more as an SEO automation platform than a GEO tool — bulk on-page changes, structured data, internal linking, and similar workflows. It earns a place on this list because that kind of work can make content easier for AI engines to parse, and on large sites the mechanical execution is often a bottleneck.
Paired with a GEO tracker and a content tool, Alli AI can act as an execution layer that helps push changes into production. Used on its own, teams may have less visibility into whether those changes are moving AI mentions, since dedicated AI mention tracking doesn’t appear to be part of the core product.
Key features
- Bulk on-page SEO automation
- Schema and structured data deployment
- Internal linking management
- Workflow automation across templates
Pros
- Generally well-suited to deploying technical changes at scale
- Can ease a real bottleneck on large sites
- Pricing tends to feel reasonable for what it does
Cons
- No dedicated AI mention monitoring that we’ve identified
- GEO impact is indirect — typically needs measurement alongside
- May work best for teams that already have a GEO strategy in place
Pricing
- From $299/month
- Free trial available
Verdict: Likely more useful as part of the toolchain than as the toolchain.
11. Frase — upstream content research and briefs
Frase is positioned as a research and briefing tool, often reached for when teams are about to write the kinds of content GEO programs lean on most — comparison pages, FAQ-style answers, definitions, and category guides. It clusters questions, looks at what’s already ranking, and produces briefs intended to help writers cover a topic more comprehensively.
It isn’t designed as an AI mention tracker. But content structured around the actual questions people ask AI engines tends to have a better chance of being cited. Used as an upstream step in a workflow that ends with a separate measurement layer, Frase can help raise the quality of pages produced.
Key features
- Content brief generation
- Question clustering and intent mapping
- Content scoring against competing pages
- Workflow tools for editorial teams
Pros
- Research output tends to be strong relative to the price
- Can help content teams cover topics more systematically
- Generally fits into existing editorial processes
Cons
- No dedicated AI visibility tracking that we’ve seen
- No citation analytics that we’ve identified
- Tends to work best when paired with a separate measurement tool
Pricing
- From $49/month
- Free trial available
Verdict: A solid upstream option — most teams will want to pair it with a tracker to see whether the content is doing its job.
What separates a real GEO tool from a repurposed SEO tool
After running this comparison, the pattern that actually matters is simple. Every tool here falls into one of three categories, and most teams need at least one from category three:
Content tools that support GEO. Frase, Writesonic. They help you produce the inputs AI engines cite. They don’t measure whether it’s working.
Monitors and trackers. Goodie AI, Peec AI, Rankscale AI, GetCito, AthenaHQ, Profound AI, SE Ranking. They observe what AI is saying. Most of the market sits here. They tell you the score; they don’t change it.
Full-stack platforms that operationalise GEO. HeyAmos. They combine measurement, prioritised actions, and content production in a single loop, so visibility actually moves cycle over cycle.
The mistake teams make is buying a category-two tool and expecting category-three outcomes. Dashboards don’t move metrics. The work that moves metrics — publishing better content, earning the right third-party citations, structuring information for retrieval — happens outside the dashboard, and a monitoring-only tool can’t do it for you.
A practical buying framework
If you’re trying to decide quickly, here’s how I’d think about it:
You need to know what’s happening in AI answers, full stop. Pick a tracker — Goodie AI, Peec AI, or Rankscale AI if you want it cheap; Profound AI or AthenaHQ if you need executive reporting.
You need clear actions, not just data. Look for a tool that tells you what to do, not just what’s wrong. Most monitoring tools fall short here.
You need to ship content faster than your team currently can. Frase upstream, Writesonic for production. Pair with a tracker.
You need the whole loop in one place. That’s HeyAmos’s lane. The integration is the differentiator — every other tool requires you to bolt the workflow together yourself.
You’re an agency. Multi-client management, white-label reporting, and content production support move from “nice to have” to “table stakes.” HeyAmos and SE Ranking handle this best out of the box.
Mistakes I see teams make most often
- Treating GEO as SEO with extra steps. GEO overlaps with SEO, but the win condition is being cited inside an answer, not being ranked above the next link. The content patterns differ.
- Buying a tracker and calling it done. A dashboard that says you’re invisible doesn’t fix being invisible.
- Publishing without measuring. Pace without feedback is busywork. You need to know which changes moved which prompts.
- Tracking only ChatGPT. Buyer behaviour is fragmenting across Gemini, AI Overviews, Perplexity, Copilot, and Claude. Stable prompt sets across multiple engines is the right baseline.
- Forgetting third-party sources exist. AI answers are stitched from your site, community pages, reviews, news coverage, and partner content. PR and earned media matter more in GEO than they do in SEO.
Frequently asked questions
What is generative engine optimization (GEO)?
GEO is the work of getting your brand into the answers AI engines produce. It involves prompt research, content structure, third-party citations, and tracking how AI answers shift over time. The goal is being mentioned, summarised, and cited — not just ranked.
How is GEO different from SEO?
SEO is about earning a position on a results page so users click through. GEO is about being included in the answer the AI gives, often before the user clicks anywhere. SEO and GEO share inputs — clear content, structured data, authority signals — but the way you measure success is different. Mentions, citations, and share of voice replace rankings, impressions, and CTR.
What does AI search visibility mean in practice?
When someone asks an AI engine a question your buyers ask — “best AI visibility tool for marketing teams,” “alternatives to X,” “how do I track Y” — does the AI mention you, recommend you, or cite your site? Visibility is measured by prompt sets, topics, geography, and competitor comparison.
How do GEO tools measure citations and mentions?
They run repeatable prompt queries against AI engines on a schedule, capture the answers, and parse out brand mentions, cited URLs, and competitor presence. Better tools track over time so you can see trends, segment by intent, and benchmark against the competition.
Which AI engines should we track?
At minimum, the ones your buyers use. For most B2B and B2C categories that means ChatGPT, Google AI Overviews / Gemini, and Perplexity. Some teams also track Claude and Microsoft Copilot depending on market and device usage. The harder rule is consistency — use stable prompt sets so trends mean something.
Can agencies use GEO tools across multiple clients?
Most platforms support agency use, but the depth varies. Look for genuine multi-client workflows, white-label reporting, reusable prompt frameworks, and tools that reduce content production overhead — agencies live or die on output per client per month.
How quickly do GEO changes show results?
Faster than SEO usually, because you’re influencing which sources an AI engine pulls from rather than waiting for ranking updates. Speed depends on the engine, topic competition, authority signals, and re-crawl rates. HeyAmos customer Relivo started getting cited within 30 days of publishing a comparison page; others take longer in more competitive categories.
What’s the difference between a GEO monitor and a full GEO platform?
A monitor tells you what’s happening — which prompts you appear in, who’s beating you, how often. A full platform adds two layers: prioritised recommendations on what to do next, and content production to actually do it. Most of the market today is monitoring-only. Closing the loop is what changes the trajectory.
Should B2B SaaS, fintech, and PR teams approach GEO differently?
Yes. B2B SaaS teams typically focus on category Discovery prompts (“best X for Y”) and competitor share of voice. Fintech has higher trust thresholds, so authority sources and structured data matter more. PR teams care about whether their earned media is actually cited — placement count is a vanity metric if AI isn’t pulling from those pieces. The right tool segments these views rather than reporting one global number.
What should a CMO actually see on a GEO dashboard?
Five things, ideally on one page: share of voice in AI answers for priority prompts, mention frequency over time, the top sources AI is citing in your category (and whether you’re in them), competitor movement, and a list of actions taken in the last cycle with their before-and-after impact. Reporting that doesn’t tie observed change to specific actions doesn’t help anyone make better decisions.
How to actually pick
GEO is no longer experimental. It’s a measurable channel with measurable economics, and the tooling has caught up to that reality.
The shortest version of this whole guide:
- If you need a complete loop — measure, prioritise, publish, learn — HeyAmos is built for that.
- If you’re SEO-led and want GEO inside the same dashboard, SE Ranking is the cleanest fit.
- If your strategy is winning citations from third-party sources, GetCito.
- If you need executive-grade reporting at scale, AthenaHQ or Profound AI.
- If content velocity is your bottleneck, Writesonic and Frase pull their weight.
- If you’re just starting and want to validate the channel, Peec AI or Rankscale AI are the lowest-friction entry points.
GEO doesn’t replace SEO — it sits next to it. The platforms that understand the difference, and connect observation to action, are the ones worth paying for.
