AI Tools Compared: A Marketer's Field Guide (with an Event Marketing Lens)
- 1 day ago
- 15 min read
Why this guide exists
If you've blinked since 2024, the AI tools market has reshaped itself around you. The "ChatGPT or Midjourney" question has been replaced by something far more interesting and considerably more confusing: autonomous agents that don't wait for the next prompt. They research, write, design, build, and... in the case of one of our headline tools, even ring the venue on your behalf.
For marketers, especially those of us working in events, this isn't a curiosity. The platforms now genuinely shift what a small team can produce, the speed at which a campaign can move from brief to deliverable, and the cost of localising content across markets. They also introduce real risks around brand trust, hallucination, and quietly eye-watering credit bills.
This post is a tour through the platforms that matter right now; what each one actually does, where it shines, where it falls down, and how it maps to the work an event marketer is trying to get done. Hyperlinks throughout go to the official product pages, so you can poke around for yourself.
A note on tone: I've tried to be honest about limitations as well as strengths. Most "best of" lists are quietly affiliate-driven. This isn't - so, let's dive in!
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How to think about the categories
From what I've seen, the AI tooling space has fractured into roughly five buckets. Most marketers end up using one or two from each rather than a single platform doing everything:
The agentic "all-in-one" workspaces: Genspark, Manus, Perplexity Computer, ChatGPT Agent. They take a goal and run multi-step workflows.
The conversational generalists: ChatGPT, Claude, Gemini, Perplexity. The "thinking partners."
Visual content tools: image, video, avatar, voice. Highly specialised.
Marketing-purpose platforms: Jasper, Copy.ai, HubSpot Breeze, Canva. Built for marketers specifically.
Event-platform AI: Cvent, Bizzabo, Swapcard, etc. AI woven into the platforms event teams already use.
Let's take them in turn.
1. The agentic "all-in-one" AI platforms
This is the category that has exploded since early 2025. These tools don't just chat, they act.
They open browser tabs, run code, fill forms, and stitch together multi-step deliverables. Think of them as the "junior employee given an assignment" tier of AI.
Genspark - genspark.ai
The poster child for this category and the one most readers will have come across first. Genspark positions itself as an autonomous AI workspace combining specialised LLMs and a library of tools through what it calls the Super Agent; an orchestration layer that decides which model and which tool to use for each step.
Genspark uses a Mixture-of-Agents (MoA) architecture, where a central orchestrator breaks tasks into parts and routes each step to the most capable specialised model. Logic tasks go to reasoning-focused models, creative work to generative specialists, and code generation to development-optimised LLMs. The result is dramatically reduced hallucinations and more accurate outputs compared to single-model platforms.
What it does well: creating entire presentations from scratch with relevant references and engaging visuals via AI Slides, multi-model image generation, deep research that uses reasoning models such as o3-mini-high and DeepSeek R1 to gather and analyse information from hundreds of sources, and AI sheets. The party trick is Call For Me: Genspark can place real phone calls on your behalf, navigating automated menus, speaking with humans, and returning a transcript with a clear summary.
Pros:
Genuine breadth. It replaces several point tools in one subscription
Sparkpages (structured research outputs) outperform a standard chatbot response
Real phone-call automation is unique in the market
Free tier with 100 daily credits, no credit card
Cons:
Trustpilot reviews are notably mixed despite the rapid growth. Service quality and billing issues come up repeatedly
Credit system complexity can confuse budgeting, especially for heavy agent or telephony usage
Outputs are functional rather than beautiful. Designs often needs manual refinement
Exports do not always work smoothly, which limits confidence for business use
Best for: small marketing teams and solo consultants who want a research-to-deliverable engine without juggling five subscriptions.
Manus - manus.im
The viral autonomous agent from China (originally built by Butterfly Effect, since acquired by Meta for around $2bn). Manus operates more like a junior employee given an assignment, browsing the web, writing and executing code, managing files, and completing multi-step tasks without you prompting each step.
Pros
Strong on structured, well-scoped tasks
Cloud-based VM means each session is isolated
Recently rolled out a desktop "My Computer" companion
Cons
Still impressive on structured tasks but fragile on ambiguous ones
Meta ownership raises legitimate questions for enterprise users with data handling requirements
Browser automation via screenshot analysis is inherently slower and breaks when websites redesign their UI
Best for: technical users who want autonomy and don't mind the rough edges.
Perplexity Computer (and the Comet browser) - perplexity.ai
Perplexity built its reputation on cited, real-time AI search. Perplexity Computer is the agentic evolution, built for search and research anchored in the present, pulling real-time data, verifying sources, and linking back to primary references. Its sibling, Comet, is an AI-native browser.
Its core strength lies in sophisticated multi-model orchestration, where it intelligently assigns sub-tasks to over 19 different specialised AI models, ensuring the best model is used for every part of a complex job.
Pros
Best-in-class for research where citations and source verification matter
SOC 2 Type II certification, SSO/SAML, SCIM provisioning, and full audit logging for enterprise users
In one test, generating a benchmark spreadsheet across multiple sources with 33 cited sources took just seven minutes... work that would normally take hours of manual cross-referencing
Cons
Max plan is $200/month, which steep for most marketers
Credit burn on complex jobs is real
Less polished for creative outputs vs research outputs
Best for: research-heavy marketing i.e. competitive analysis, market sizing, audience landscape work.
ChatGPT Agent / Atlas - openai.com
OpenAI's agentic offering, built into ChatGPT. ChatGPT's Atlas browser is currently better-suited to multi-step tasks, while Perplexity's Comet has the edge on research. Available on the standard Plus tier ($20/month), making it the most accessible agent for most people.
Pros
Built into the tool most marketers already use
Strong ecosystem of custom GPTs and Canvas
Mature voice mode
Cons
Better positioned for general tasks than for cited, source-verified research
Agentic capabilities still feel less battle-tested than the core chatbot
Best for: existing ChatGPT users wanting to dip a toe into agentic workflows without a new subscription.
Claude Cowork & Claude Code - claude.com
Anthropic's offerings. Cowork is the consumer-facing agent built for desktop file and task management. Claude Code is the terminal-based coding agent that has become extremely popular with developers.
Pros
For tasks where local data privacy matters, Cowork runs in a sandboxed VM and data doesn't leave your machine unless you explicitly connect a cloud service
Claude's writing quality is widely considered the strongest of the major models for nuanced, brand-voice copy
Cons
Less real-time web access than Perplexity Computer; runs on your Claude API key
Cowork is newer and the ecosystem of integrations is still maturing
Best for: marketers who value writing quality, privacy, or already work in Anthropic's ecosystem.
2. The conversational generalists
You'll already know these. A quick comparison rather than a deep dive, because they shift weekly.
ChatGPT - chatgpt.com
The default. Choose ChatGPT if you want a general-purpose AI assistant, a superb partner for creative projects, data analysis, and coding, with unique features like Canvas, custom GPTs, and ChatGPT Agent.
Strengths: ecosystem maturity, voice mode, image generation (now via the latest model), DALL-E successor, plugin marketplace
Weaknesses: research and citation quality lag behind Perplexity; deep prose work often weaker than Claude
Claude - claude.com
Anthropic's flagship. Widely praised for writing nuance and reasoning. The Projects feature is excellent for keeping brand voice consistent across a campaign.
Strengths: writing quality, long-context work, "feels" more thoughtful for marketing copy and strategy work
Weaknesses: image generation is via referenced models rather than native; web search via tools rather than as a primary feature
Gemini - gemini.google.com
Google's offering, increasingly integrated across Workspace (Gmail, Docs, Slides, Sheets). Gemini 2.5 Pro leads on coding (SWE-bench), reasoning, and context window, 1M tokens vs ChatGPT's 128K.
Strengths: huge context window, native integration with Google Workspace and YouTube data, Deep Research feature is genuinely useful
Weaknesses: prose still feels slightly more "corporate" than Claude; consumer brand has been confusing (Bard, Gemini, multiple plan names)
Perplexity - perplexity.ai
The AI-first search engine. Cited, real-time, fast. Focused on real-time search results with reliable citations.
Strengths: citations as a default behaviour, real-time information, clean UX
Weaknesses: less suited to long-form creative or open-ended brainstorming
Practical advice: most marketers I work with end up paying for one of ChatGPT Plus or Claude Pro at $20/month, plus either a Perplexity subscription or the free tier for cited research. The premium you pay for dedicated writing tools is for templates, workflows, brand governance, and integrations. Every dedicated writing tool uses the same underlying models as the $20/month chatbots.
3. Visual content: image, video, avatar, voice
This category has moved further and faster than any other. A quick map of the leaders as of mid-2026.
Image generation
Midjourney remains the aesthetic gold standard for stylised, high-quality imagery, particularly anything with mood or atmosphere. Now available via web (you no longer need Discord).
DALL-E (inside ChatGPT) is the most accessible. It excels at following detailed text prompts accurately and handles text rendering within images better than competitors.
Ideogram is exceptional for anything involving text in images i.e. posters, social tiles, logo concepts.
Flux (Black Forest Labs) and Nano Banana (Google's image model, accessible through Gemini and image hubs) are now the photorealism leaders .
Video generation
The Sora story is worth flagging: OpenAI announced in March 2026 that the Sora web and app experiences will be discontinued on April 26, 2026, with the API ending in September. Don't anchor a production pipeline on it.
The current shortlist:
Google Veo 3.1: the safest overall pick, combining strong realism, good motion, and native audio in a way that makes it feel more complete than most of the field
Runway Gen-4.5: the pro favourite for granular creative control: camera moves, motion brush, and reference-driven character consistency. The strongest pick for ads, with reference image and character control for brand consistency
Kling 3.0: the strongest value pick for creators who need lots of iterations without paying premium prices
Pika: strong on lip-sync and short-form social
Luma Dream Machine / Ray3: atmospheric image-to-video work
A practical note: most AI video tools produce significantly better results when you start with a source image rather than pure text. Generate a still in Midjourney or Flux first, then use that as the starting frame.
Avatar video (talking heads)
HeyGen
The leader for marketing teams and L&D departments who need professional avatar-driven video at scale. Avatar IV (and the newer Avatar V) deliver full-body motion, micro-expressions, natural head movements, and hand gestures synced to the script's emotional tone. Translation into 175+ languages with lip-sync is a genuine differentiator.
Pros: fast, multilingual, getting genuinely realistic
Cons: the headline pricing is opaque. The $29/month "unlimited" Creator plan caps Avatar IV to roughly 5 minutes monthly, and most realistic professional usage pushes to ~$60/month with add-ons. Voice cloning is powered by ElevenLabs under the hood and is good, not perfect.
Used by 60%+ of the Fortune 100, the safer choice for organisations where governance and compliance matter more than feature velocity. Avatars are professional but slightly behind HeyGen's Avatar IV.
Pros: enterprise-grade compliance (SOC 2, GDPR), strong collaboration and review tools, mature L&D workflows
Cons: users describe avatars as "too corporate"; per-minute pricing can feel restrictive
Voice
ElevenLabs is the clear leader for voice cloning and AI voiceover. It offers both basic and professional cloning tiers. The basic version needs 30 seconds to 2 minutes of audio and produces a usable clone in about 5 minutes. Pricing starts at $5/month. Worth noting: HeyGen's voice cloning is actually powered by ElevenLabs under the hood, so you're getting that quality even when you don't realise it.
For longer-form audio (podcasts, generated music), Suno is the dominant music generator and NotebookLM (Google) is brilliant for turning research into a podcast-style audio summary.
4. Marketing-purpose platforms
These are the tools built specifically for marketing teams, with brand voice management, marketing-specific templates, and CRM integrations baked in.
HubSpot Breeze - hubspot.com
HubSpot's AI suite, woven through its CRM, Marketing, Sales, and Service Hubs. Breeze breaks down into three parts: Breeze Copilot (a chat-based assistant for summarising records, drafting emails, brainstorming); Breeze Agents (autonomous AI teammates for specific jobs like running social media campaigns); and Breeze Intelligence (data enrichment and buyer intent signals, powered by HubSpot's Clearbit acquisition).
Pros: deep integration with CRM data means AI suggestions are grounded in actual customer behaviour, not generic templates; strong for teams already in the HubSpot ecosystem
Cons: Breeze features are gated to higher-tier plans. Marketing Hub Professional starts at $800/month (billed annually) and Enterprise at $3,600/month; only justifies the cost if you're committed to HubSpot
Jasper - jasper.ai
The original AI writing platform for marketers and still one of the most mature. In 2026, Jasper has evolved beyond its template-heavy early days toward campaign-level content organisation, deeper brand customisation, and AI-assisted content strategy features. Brand Voice (learns and maintains your company's tone), Campaigns (organises related content pieces), and 50+ marketing-specific templates remain the core.
Pros: brand voice governance at scale which is invaluable for teams of 5+ producing high content volumes
Cons: expensive for solo creators ($39/month Creator, $69/month Pro, custom for Business which can reach $250-350/month); the platform has pivoted heavily toward enterprise, so the individual creator use case is no longer the priority
Has evolved from a copywriting tool into a broader GTM workflow platform. Strong on workflow automation with 2,000+ integrations.
Pros: useful free tier (2,000 words/month); good for sales-marketing alignment
Cons: credit-based pricing can be unpredictable for heavy users
Canva (with Magic Studio) - canva.com
The most universally adopted design platform among marketers, now packed with AI: Magic Write, Magic Design, Magic Edit, AI presentation generation, brand kits. The free tier is the most useful free design AI available.
Pros: low learning curve, brand kit features keep teams consistent, the AI features actually integrate sensibly with the design workflow
Cons: outputs can feel generic without strong creative direction; less precise than Figma for product work
Marketing Mary, Anyword, Writesonic, Surfer SEO, Frase
A quick acknowledgement of the more specialised marketing tools - Anyword for predictive copy scoring, Surfer SEO and Frase for SEO-driven content workflows, and Marketing Mary for end-to-end content production with CMS publishing. All worth a look if you have a specific bottleneck.
5. Event-platform AI
Most major event platforms have shipped substantial AI features over the past 12-18 months.
Cvent - cvent.com
The Cvent AI Writing Assistant helps draft webinar descriptions, surveys, session descriptions, speaker bios, and RFPs. Cvent Recommendations curates personalised experiences for each attendee, suggesting sessions based on what they've already attended, recommending networking matches, surfacing nearby content based on stated interests. The Vendor Marketplace's AI matching technology pairs organisers with best-fit vendors based on geography, group size, dates, and audience.
Bizzabo - bizzabo.com
AI for event personalisation that analyses attendee behaviour, preferences, and goals to deliver tailored recommendations, networking opportunities, and content experiences in real time. Continuously refines the experience for each attendee rather than relying on manual segmentation.
Swapcard - swapcard.com
Paris-based, focuses on engagement, matchmaking, and lead generation. Uses AI to connect attendees, exhibitors, and session content with strong data-driven personalisation across international markets.
Hopin - hopin.com
London-based, AI-powered matchmaking tools bridge digital environments with meaningful attendee connections. Particularly strong for virtual and hybrid events.
Glue Up, EventHex, Samaaro, Zenus
A constellation of more specialised platforms doing genuinely interesting things, Zenus for computer-vision-based sentiment analysis at physical events (the "Happy Maps" feature is wonderful for understanding where energy is highest in a venue), EventHex for hyper-personalised attendee journeys, Samaaro for unifying marketing-to-revenue attribution.
Bringing it back to event marketing
Here's where the rubber meets the road. Where do these tools actually help an event marketer? Let's walk the lifecycle.
Pre-event: research, planning, and audience work
This is where the agentic platforms earn their keep. A typical pre-event brief, "I need a competitor scan of the five events in our space, a positioning document, three campaign concepts, and a draft of the speaker outreach sequence", used to be a week's work. Now:
Genspark or Perplexity Computer for the competitor research and positioning document. A founder wants to launch and needs to know if the space is crowded. They ask Genspark to review five or six competing sites, pricing pages, and customer reviews. The Super Agent runs searches, opens pages, and pulls key details into a structured report with sections for audience, offer, pricing, and common complaints. The same workflow applies to event positioning.
Claude or ChatGPT for the creative campaign concepts and speaker outreach drafting, better prose quality than the agentic platforms once you've got the inputs.
HubSpot Breeze (if you're already in HubSpot) for audience segmentation that's grounded in actual CRM data - past attendees, engagement history, lifecycle stage.
One important caveat: AI helps you move beyond basic demographic segmentation by reading behavioural signals, engagement history, and real-time activity. But the data needs to be in good shape. Optimal outcomes combine AI efficiency with human oversight and judgment.
Asset production: invitations, social, video, decks
For the volume of creative an event campaign needs, invitations, save-the-dates, social tiles, speaker reels, sponsor decks, the lot, a stack of three or four tools typically beats one all-in-one platform.
Canva with Magic Studio for the bulk of the social tiles and static assets
HeyGen for personalised speaker introductions and multilingual versions of your headline content. The translation feature is particularly powerful if you're running a regional roadshow — record once in English, ship lip-synced versions in eight languages
Runway Gen-4.5 or Veo 3.1 for short hype reels and atmospheric "what to expect" content
ElevenLabs for any voiceover work — far better than the stock voices baked into avatar tools
Genspark AI Slides or Gamma for sponsor decks and pre-event briefings
A real-world example: a sponsor wants a localised version of your event highlights for their German market. Old workflow: hire a translator, hire a voice artist, hire an editor. New workflow: paste your English video into HeyGen, select German, get a lip-synced version back in under an hour.
Caveat: strong emotion can expose sync issues, quality is best on front-facing single-speaker footage with clear audio.
During the event: real-time personalisation and engagement
This is where the event-platform AI does its best work, and the case for using a platform with AI baked in (Cvent, Bizzabo, Swapcard) rather than trying to bolt on point tools.
When attention metrics drop, modern systems can activate polls, suggest a Q&A, or surface networking opportunities to boost energy levels. Attendees can receive intelligent alerts to sessions that align with their profile and previous interests.
The hallmark of a modern event platform in 2026 is the ability to adapt in real-time: pushing notifications about overflow sessions, updating digital wayfinding to direct traffic flow, or instantly making session slides available to interested participants.
Practical use case: AI chatbots on the event app handling the predictable 80% of attendee questions (where's the loo, when does this session start, where's the networking lounge) so your on-site team can focus on the genuinely unusual ones. Organisers have reported over 40% lifts in registration engagement when adding an AI-driven workflow to pre-event campaigns.
Post-event: recap, repurposing, and follow-up
The cheapest, fastest-to-implement, highest-ROI use of AI in event marketing is post-event content recycling. A single event generates more content than most teams ever publish:
Session recordings → automatic transcripts (via Otter or NotebookLM) → blog summaries (Claude or ChatGPT) → social clips (via Runway or Opus Clip)
Speaker quotes → branded social tiles (Canva)
Audience Q&A → an FAQ page for next year's marketing
Sponsor mentions → personalised thank-you packages (HubSpot Breeze workflow)
The win here isn't doing one new thing; it's that the content production cost falls to roughly a tenth of what it used to be, and the things that used to be impossible, properly personalised follow-up emails to 5,000 attendees with their session highlights, become trivially easy.
A note on trust
A genuinely important point worth dwelling on: over half of consumers are less likely to engage with content marked as AI-generated. Companies that rely heavily on AI-generated content with little to no human insight or transparency face trust and brand reputation challenges.
For event marketing specifically, where the whole proposition is human connection in a room together, this matters more than in almost any other marketing context. AI doesn't replace authentic connection; it gives you a shortcut to it. Use it to free your team up for the parts that actually require humans, speaker relationships, sponsor conversations, the in-room experience itself, rather than to replace them.
A practical stack for an event marketer
If I were building a stack from scratch this week for a mid-sized B2B event team, here's what I'd run:
For the agentic / research layer: either Perplexity Pro ($20/month) or Genspark Plus (~$20/month), depending on whether your week leans more toward research or more toward producing deliverables.
For the conversational / writing layer: Claude Pro ($20/month) for the prose-quality work and longer-form creative briefs, plus access to ChatGPT (free tier or Plus) for the times you need plugins or DALL-E.
For visual content: Canva Pro for the bulk of design, HeyGen Creator for any avatar/talking-head video and translation, ElevenLabs Starter ($5) for voiceover. Add Runway or Veo via Adobe Firefly credits if you need hero video.
For event-platform AI: this depends on which platform you're already on. If you're starting from scratch, Bizzabo and Cvent both offer mature AI features; Swapcard is excellent for matchmaking-heavy formats; Hopin remains the strongest pure-virtual option.
For marketing automation / CRM: HubSpot with Breeze if you can justify the spend; otherwise Mailchimp or Klaviyo for the email layer and a lighter-weight AI tool on top.
Total subscription spend at the lower end: around £80-120/month. Total time saved across a typical event cycle, conservatively: 40-60 hours of production work. The economics are no longer debatable.
Closing thoughts
Three things worth holding onto as you build your own stack.
First: the tool matters less than what you do with the output. A cheap tool with rigorous human editing can outperform an expensive tool used on autopilot. The risk factor is the editing step, not the generation step. Don't ship raw AI output; treat every deliverable as a first draft.
Second: be honest about credits and pricing. The opaque credit systems of Genspark, HeyGen, Copy.ai, and others mean the headline price is rarely the price you'll pay. Model your realistic usage before committing.
Third: the platforms will keep shifting. Sora was the leading video model 12 months ago; it's being switched off in 2026. There is no single best AI video generator, there is a best model for your specific use case. Build for the workflow, not the brand name.
If you're an event marketer who's used to running campaigns without much AI help, you're closer to the productivity frontier than you think. Pick one workflow that hurts, maybe it's the post-event recap, maybe it's the speaker outreach sequence, maybe it's translating your hero video into German, and rebuild it around one of these tools this month. By next event, you'll have a stack you actually trust.
If you'd like to talk through what a sensible AI stack looks like for your specific event programme, get in touch.
Further reading and sources
MarketingProfs on AI, Trust, and Personalization in B2B Events
British Chambers of Commerce / University of Essex AI Adoption research (March 2026) — 54% of UK firms now actively using AI
Anthropic's Claude, OpenAI's ChatGPT, Google's Gemini, Perplexity, Genspark, Manus, HeyGen, Synthesia, ElevenLabs, Runway, Veo, Kling, Jasper, Copy.ai, HubSpot Breeze
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