😻 Maeva Cifuentes

Flying Cat 

We help fast-growing B2B SaaS companies turn their website into one of their greatest inbound revenue channels through SEO and content.

Founder

Purposeful Living

Purposeful Living is my passion project. I coach ambitious women how to align with their cycles, build unshakeable confidence, release the need for external validation and communicate effectively and freely. The podcast is about work-life balance, achieving "it all" while staying soft, living a life of pleasure and joy and not burning out, and developing thriving relationships.

Follow my account on Instagram: https://www.instagram.com/purposefulliving.co/
Listen to the podcast: https://podcasts.apple.com/us/podcast/purposeful-living/id1692072031

Founder & Host

Spitche

Investor and shareholder. Also, as fractional Head of Marketing/Marketing Advisor, I'm diversifying Spitche's revenue streams and acquisition channels, focusing on organic inbound growth.

Investor

Hospitable.com

Hospitable gives short-term rental hosts time back by automating manual tasks and connecting the STR tech stack to work together.

Cifuentes Translations

A family translation company. We provide transcreation, localization and translation services. We know SEO, conversion writing, and do more than translate words. Our family team specializes in: tech, legal, fitness, health & humanitarian subjects.

Freelance

Translated over 1 million words from 2009-2021. I worked from French and Spanish into my native English. Projects included variant localization (UK to US and vice versa), transcreation of marketing and sales assets, and SEO-optimized content, including multilingual keyword research.

French and Spanish to English Translator | SEO, Article & Website Translation

Get Paid For Your Pad 

I grew Get Paid For Your Pad's traffic by 60% in 4 months using SEO and an organic strategy. We also grew the email list from 3,000 to 8,000 qualified subscribers within the same time  using only organic and user-focused strategies.

Head Of Content

MeltinLab

MeltinLab is one of Barcelona's biggest events for early-stage startups. We aim to provide entrepreneurs with actionable content, tips, workshops and panel talks to take their businesses to the next level. I manage the blog writing articles and interviews and manage the social media accounts.

Branding & Content

SEO & Content for B2B SaaS // Starting and scaling an agency. I help B2B SaaS companies drive sustainable revenue.

Our strategies have helped B2B SaaS companies like ActiveCampaign, Hotjar, Mixmax, Stonly and Livestorm drive predictable and sustainable 5-20% MoM growth through search. 

📍 I post weekly about SEO, content, and building an agency. 
👍 Like the content? Follow me. 👍

WHAT CLIENTS HAVE SAID:

"Flying Cat's approach led to a significant increase in monthly revenue and contributed to our rapid growth." - Rob Hartman, former Creative Director and Operto Guest Technologies

“Together, we were able to increase our yearly organic traffic by 700% at the time that I left the company. Additionally, 56% of our traffic coming into the English website was coming through the blog, which is what they were working on. It was such a smooth partnership and really felt effortless on my side.” - Molly Holcutt, Content Manager at Livestorm

"Within two quarters, we were able to drive an additional 80k visits to the website. Flying Cat provided high-quality SEO content that met the needs of our SEO strategy and market goals." - Joe Baugnet, Global SEO at ActiveCampaign



Message / Connect with me for more info on:

⚡️ Predictable revenue growth through search. We've helped our clients drive millions in revenue through highly engaging, SME-driven content combined with our proprietary data-driven SEO framework.

⚡️ Agency Building & Scaling. I teach freelancers, solopreneurs and small teams the techniques I used to bootstrap and scale the agency from $0-$1M and 1-35 people in 18 months while staying profitable.

⚡️ Speaking. I speak about 4 things (a) SEO for revenue growth (b) long-form/thought leadership content for B2B SaaS (c) organic social content for agencies and B2B SaaS (d) profitable team building and operations.

maeva@flyingcatmarketing.com
🌐 @maevaeverywhere
 
—
Content Marketing • Content Strategy • Content Agency • Content Marketing Agency  •  SEO Agency

Angel Investor & Marketing Advisor

I spent 20+ hours studying top-cited pages in ChatGPT, Perplexity, and AI Overviews.



A few patterns stood out:
Majority of ChatGPT citations go to content updated within 30 days.

Tables get cited 2.5x more than paragraphs.

Majority of cited answer blocks contain zero links.

A recent study by Princeton on GEO corroborates what I was seeing—adding statistics, expert quotes, and source citations boosted visibility 30-40%, while keyword stuffing showed zero improvement.


So I mapped out what I think a GEO-optimized blog post should look like:
↳ Where your TL;DR goes (and why it works better without links) 
↳ The answer-first format AI tends to extract from 
↳ Why question H2s seem to outperform statements 
↳ The schema markup associated with 36% visibility gains 
↳ How FAQ sections correlate with 3.2x higher citation rates

We're still learning what works, but structure seems to matter more than we gave it credit for.

Save this for your next content brief.

#GEO #SEO #ContentStrategy #AISearch

🔥 Organic growth advisor for forward-thinking companies

2025 was the year of the Snake: shedding, transformation, starting anew. That's exactly what I did. 2026 is the year of the Horse. Moving forward, action, speed. That's what's in the cards for me.


While I felt like I fell behind and maybe got a bit lost last year, I realized over my two-week break that it was necessary. To shed the old me, mourn her, and wait for clarity on what's next.

The thing I lacked was commitment. Not just to my health and wellbeing, but to manifesting goals I've held for years. Commitment to stop comparing myself to anyone but past me. And commitment to showing up for my network, not just lurking, but contributing.

This is the year I:

- Help female consultants reach the multiple 6 figure years they've been chasing
- Only work with tech clients who genuinely want to grow and are willing to get creative, not ones who see search and AI as a box to check
- Only partner with A-players who are driven by impact, not just a paycheck
- Actually create. Not half-ass it like I have been for years.

My word for the year is commitment. What's yours?

If you're a female consultant looking to grow your business and feel fulfilled in your work, give me a 🔔. What I'm building this year is going to be worth your attention.

Everyone's telling you to pivot to AI search.
I ran the numbers. The math doesn't work. At least not yet.


Google sends 345x more traffic to websites than ChatGPT, Gemini, and Perplexity combined. That's not my opinion. That's Ahrefs analyzing tens of thousands of sites.

AI traffic does convert better. Significantly better. Seer Interactive found ChatGPT visitors convert at 15.9% versus 1.76% for Google organic. That's a 9x advantage.

Sounds like you should drop everything and optimize for AI, right?
Let me show you what actually happens when you do the math.

Take a B2B SaaS with 50,000 monthly organic visits.

Google organic contribution: 50,000 visits × 1.76% conversion rate = 880 conversions per month.

Current AI contribution (AI represents 0.19% of traffic where Google represents 42%): roughly 226 visits × 15.9% conversion rate = 36 conversions per month.

Google delivers 24x more conversions than AI. Not 2x. Not 5x. 

Twenty-four times more.

Let's say AI traffic 10x's. 2,260 visits × 15.9% = 359 conversions. Still less than half of what Google delivers today.

For AI to simply match Google's current conversion contribution, you'd need 5,535 AI visits per month. That's 24.5x growth from current levels.

Now here's the opportunity cost nobody's calculating.

You shift resources to AI optimization. Organic gets neglected. Traffic slips 20%.
Google: 40,000 visits × 1.76% = 704 conversions. You lost 176.
Meanwhile, your AI efforts pay off and traffic doubles. AI: 452 visits × 15.9% = 72 conversions. You gained 36.

Net result: negative 140 conversions.

Here's where I'll push back on myself.

AI search is the future. Zero-click is accelerating. AI Overviews already appear in 13% of queries and climbing. Companies that ignore it entirely will wake up in three years wondering where their visibility went.

You should be optimizing for AI. You should understand how citations work, how LLMs synthesize answers. This matters and it will matter more.

But your pipeline doesn't run on what might work in 2027. It runs on what converts in Q1 and Q2.

The question isn't AI or SEO. It's allocation.

If you're spending 80% of your resources chasing AI visibility and 20% maintaining organic, you've got it backwards. Protect the engine driving revenue today. Allocate proportionate effort to what will drive revenue tomorrow.

The good news is these aren't separate bets. The fundamentals that drive organic rankings are the same fundamentals that get you cited in AI. Structure content clearly, build topical authority, earn third-party validation.

Track AI as a channel. Watch it grow. But don't sacrifice your primary revenue driver for a channel delivering less than 1% of traffic today.
AI search will compound. Organic search still pays the bills. Get the ratio right.

What's your current split between SEO and AI optimization efforts? 80/20? 50/50? Something else entirely?

Keyword research tells you what people asked Google 3 months ago. 
I wanted to know what they'll ask ChatGPT next week.



So I built a tool that extracts questions from sales calls.

My thinking: by the time a question shows up in keyword research tools, every competitor can see it too. But the questions prospects ask on sales calls haven't been typed into anything yet. They're pre-prompt intelligence.

And in my experience, they sound completely different from search queries.

Nobody on a sales call says "best procurement software 2024." They say things like "we need something that integrates with our existing ERP but doesn't require IT involvement to set up, and ideally handles compliance reporting for our German subsidiary."

I've found that specificity (the constraints, the context, the actual situation) is what people bring to ChatGPT. And it's what LLMs tend to cite, because they're trained on how humans talk, not how SEOs write.

One client went from 162 daily brand mentions in LLMs to 402 after we shifted their content strategy to match this language.

The methodology is to pull questions from sales recordings, categorize by buying stage, then group them by intent. 

If multiple questions share the same underlying problem, weave that language into an existing page. If a question represents a distinct use case or buying scenario you haven't addressed (especially one that keeps coming up) that's probably a new page.

Other sources I've found useful: demo request forms (the "tell us more" field), webinar Q&As, support tickets. Anywhere customers describe problems in their own words before they've learned your marketing language.

Keyword tools show you where search behavior has been. Sales calls show you where it's going.

I'd love to know what first-party data sources you're pulling from for content ideas—drop them in the comments.

I've spent the last few months obsessing over one question: why do some brands get cited by LLMs while others remain invisible?

The answer comes down to whether AI systems actually know who you are.

When you ask ChatGPT "what's the best CRM for small businesses," it doesn't just scan webpages for keywords. It tries to understand which companies are real, credible players in that space. It looks for what the industry calls "entities" — basically, whether your brand exists as a recognizable thing in the machine's understanding of the world, not just words on a website.

Google's Knowledge Graph contains 500 billion facts about 5 billion "things" — people, companies, places, concepts. When AI systems need to verify whether your brand is legitimate, they check whether you exist in these knowledge bases, whether multiple trusted sources agree on who you are, and whether your information is consistent everywhere it appears.

The research is striking.

Princeton's GEO study found brands with proper entity signals achieved up to 40% higher visibility in AI answers. Wikipedia presence alone accounts for 47.9% of ChatGPT's top citations. Pages with schema markup are 3x more likely to earn AI citations according to BrightEdge.

And 88-92% of AI citations come from sources you don't own — Reddit, G2, YouTube, industry publications. That's where your entity gets validated or ignored.

Jason Barnard estimates you need approximately 30 corroborating sources agreeing on basic facts about your brand before AI systems treat you as a stable entity. That's 30 different authoritative places confirming your company name, what you do, and who you serve — all saying the same thing.

The practical takeaways for building a stronger entity:
Your website needs a dedicated "entity home" — an about page that clearly states who you are, what you do, and who you serve. This becomes the source of truth other platforms reference.

Schema markup with sameAs properties linking to Wikipedia, Wikidata, LinkedIn, and Crunchbase creates a "network of corroborating signals" — code that tells machines "this company here is the same entity as that company there."

NAP consistency (name, address, phone identical everywhere) sounds basic, but inconsistencies cause "entity fragmentation" — AI treating you as multiple separate companies.

Your content should position your brand within the broader ecosystem of related entities. Reference industry frameworks, adjacent concepts, and authoritative sources. AI interprets this as your brand belonging to that semantic neighborhood.

Entity building takes 6-12 months, not weeks. Stable recognition typically appears weeks 9-16.

If you've done any entity optimization work, I'd love to hear what's actually moved the needle for you.

Your site ranks #1 on Google.
But ChatGPT doesn't know you exist.


This isn't a hypothetical. Seer Interactive studied 500+ SearchGPT citations and found only 56% correlated with Google rankings. The other 44% came from sources traditional SEO would never prioritize.

Ahrefs analyzed 75,000 brands and found backlinks correlate just 0.218 with AI visibility, Domain Rating hits 0.326, while brand mentions across the web reach 0.664. From what I'm seeing, three decades of "build more links" wisdom is getting inverted.

Kevin Indig's research of 7,000+ citations makes it even starker: the top 10% most-cited pages in AI platforms have less traffic, fewer keywords, and fewer backlinks than typical SEO winners.

The sites winning in ChatGPT aren't always the ones winning in Google.

LLMs don't use PageRank. They don't crawl your link graph. They pattern-match on entities, freshness, and whether your brand shows up in places they trust. 

76.4% of ChatGPT's most-cited pages were updated in the last 30 days, 

47.9% of its top citations come from Wikipedia, and Perplexity pulls 

46.7% from Reddit. I suspect most guest post backlinks don't even register.

The Princeton GEO study tested what actually moves visibility: adding expert quotations boosted it 40%, statistics added 30-40%, and citing credible sources averaged +27%—though sites ranking 5th or lower saw +115% gains.

That last point is worth sitting with. Lower-ranked sites see bigger gains from optimization than market leaders. The window is open for brands willing to move now.

AI traffic converts at 3.76% vs 1.19% for organic search. Gartner predicts traditional search volume drops 25% by 2026.

The mindset shift I keep coming back to: SEO was about proving authority to an algorithm. GEO is about being recognizable to a language model. 

Links built authority. 

Mentions build recognition. 

And right now, AI rewards recognition over authority.

The brands treating this as a brand-building problem (not a link-building problem) are the ones I expect to pull ahead.

Just wrapped up one of the most interesting SEO audits I've done in a while.


Client came to me with a 61% traffic decline over 12 months. The obvious culprit seemed clear: they'd built a ton of top-funnel content that was just a little too far away from their core product. It was the classic SaaS SEO playbook that has always worked but that we're now told doesn't work anymore.

It wasn't AI cutting CTR, either, since it was major rankings that they had lost.

I couldn't find the ONE thing that could have caused this drop - there were too many factors and variables.

I went in expecting to confirm the hypothesis and recommend a content prune. 

Instead, the data told a completely different story.

I found some technical issues. Toxic backlink spike. Slow Core Web Vitals. Crawl budget waste. But none of it explained a 61% decline. The timing didn't line up, the severity didn't match. I was genuinely stumped.

Then I started digging into the content data.

Their core product pages—the ones that should've been their strongest assets—had been quietly declining for 18 months before anyone noticed. The TOFU wasn't dragging the site down. It was masking the real problem.

Even weirder: the TOFU content had better engagement metrics than their product pages. Lower bounce rates, higher engagement. Users actually liked it.
So why did they decline 61% while a competitor with the same TOFU strategy only dropped 19%?

Domain authority gap. Competitors had 2.5x more referring domains and sat 5-10 DR points higher. That authority acted as a buffer when the algorithm shifted. The sites with less margin for error got hit hardest.

The other piece: topical depth. My client had 24x more keyword coverage around "Instagram" than around their actual product category. They were checking all the E-E-A-T boxes at the page level—first-person experience, screenshots, expert attribution—but they never built the foundational content depth on their core topics that would signal real authority to Google.

Meanwhile their competitor publishes annual industry research that gets cited everywhere and earns links naturally. Same TOFU strategy, but with an authority-building engine underneath.

A few things I'm taking away:
- Surface-level content quality isn't enough anymore. You can do everything "right" at the page level and still lose if you're missing the structural pieces—topical depth, original research, domain authority.
- TOFU content isn't automatically bad, even with AI on the loose. The engagement data didn't support pruning it. The problem was what they weren't building, not what they were.
- Algorithm hits are rarely one thing. This was cumulative damage across multiple updates, compounded by an industry-wide shift. Every competitor declined—just not equally.
- Sometimes the diagnosis is "you need to invest differently" rather than "fix this broken thing." That's a harder conversation but a more honest one.

The "women have it harder" narrative is why you're still charging the same rates as 3 years ago.

Yes, the system wasn't built for us. That's real.

But here's what I see happening: women trying to force themselves into that system, getting angry when they don't fit, and then staying stuck in that anger instead of building something that actually works for them.
I've watched this play out so many times.

She starts her business. She's talented. She does great work.

Then she notices her male competitors charging more. 

Getting bigger clients. 

Being taken more seriously. 

They're steamrolling calls while she waits for her turn to speak. 

They're landing the strategic projects even though she's more competent. 

They're getting promoted while she's getting praised for being "so reliable."

So she tries to match their energy. Talks tougher. Works harder. Proves herself over and over.

And when it still doesn't work, she gets resentful. She reads articles about pay gaps. She vents to her friends about how unfair it is. She's right about all of it.

But she's still charging the same rates.

But something needs to shift... and when it finally does...

She stops trying to compete in a game that wasn't designed for her. 

She stops forcing herself into a mold that doesn't fit.

She stops trying to be the loudest in the room and starts being the most prepared. 

She stops steamrolling back and starts owning the room in her own way.

She stops chasing every opportunity and starts positioning herself for the right ones.

She stops overdelivering and starts making sure clients actually see the value she's already providing.

She raises her prices.

She stops overexplaining, and starts cheerleading for herself.

The clients who used to treat her like a vendor start treating her like a partner. Or they leave and better ones come in.

The system wasn't built for you. That's true.

So stop trying to win inside it. Build your own.

I am forever grateful to my wonderful clients who are all-in on organic growth strategy and what it takes. This is why I love and prefer to work with content leaders rather than direct founders or CEOs.



Their main focus is making the program succeed, while founders are pulled in way too many directions.

I'm going to publicly toot my own horn here and share this wonderful testimonial I just got from one of my favorite clients. It's been a wild ride!

If you're looking for an experimental, data-driven but human-focused storyteller, strategist, hands-on SEO and AI SEO consultancy to help you in the new year - my inbox is open.

I am getting NERDY on strategy with my partners next year.

I spent weeks digging through every major study on how ChatGPT decides what to cite.


Between SE Ranking's analysis of 129,000 domains and tracking 680 million citations, the picture is finally clear.


A single factor drives 55% of the decision.

It is called Content-Answer Fit.

This is the "secret sauce" of AI visibility.

It happens when your writing mirrors the exact way an AI naturally explains a topic.

ChatGPT is essentially looking for the "ideal" answer it would have written itself from scratch.

To understand this, think about how you search for a recipe.

You don't want a long story about a childhood trip to Italy.

You want the ingredients, the steps, and the temperature.

Content-Answer Fit means you provide that same utility for any topic.

If the question is "How does inflation work?" your content should provide:

1. A one-sentence definition that a fifth-grader could understand.
2. A breakdown of the three main causes.
3. A clear example of the impact on a household budget.

When you structure your page this way, the AI sees your work as a "pre-processed" answer.

It doesn't have to work hard to summarize you, so it chooses you as the trusted source.

The architecure of the page is the second half of the battle.

- Start with the answer. Don't make the AI (or the reader) hunt for it.
- Use clear subheadings that match the logical flow of a conversation.
- Use short, declarative sentences that state facts plainly.

End with a summary or a "key takeaways" list.

When your content is built this way, the AI treats your page like a partner rather than just a data source.

The rest of the winning strategy comes down to these specific data points:
1. Expert Quotes: Pages with these see 4.1 avg citations, a 71% jump.
2. Statistical Density: Including 19+ stats nearly doubles your chances of being picked.
3. Freshness: Content updated in the last 3 months gets 6.0 citations vs. 3.6 for stale posts.
4. Speed: Pages that load in under 0.4 seconds are 3x more likely to be cited.

We can also stop worrying about these myths:
- LLMs.txt files and FAQ schema actually showed zero or even negative impact in the data.
- Keyword stuffing is still a misatke that reduces your visibility by 10%.

To compete with the giants like Wikipedia and Reddit, you need to focus on 2 things:

1. Deep, data-backed evidence (the "what").
2. Perfect structural alignment (the "how").

I am curious to hear your take on this shift from keywords to "answer structures."

Do you think this makes content better for humans, or are we just writing for the bots now?

LLM Source Selection Hierarchy

Overall traffic down by 40% MoM - demos up by 74% MoM - this is what we saw on a client's most recent monthly SEO/GEO report.




Traffic to the most important pages were going up.

Brand mentions in LLMs up by 7%

Demo requests from LLMs alone up by 19%

Finally, SEO and GEO can be the performance channel it always should have been.

I look forward to 2026, the year that CEOs and executives all around are truly paying attention to SEO and seeing it as a strategic channel, rather than the checkbox it has been for decades.

PS - whats the plan for the holidays? Who will still be on LinkedIn for the next 2 weeks?

This client jumped from position 70 to #1 on a keyword with 86 difficulty.
Not a typo. Seventy to one.
Let me back up.


They came to us stuck in one of the most brutal B2B SaaS categories I've seen. Their competitors had 5,000+ backlinks, domain ratings pushing 80, and had been building authority for over a decade.

Old them worried constantly about the market leader. They were ranking, sure, but never for the keywords that actually drove pipeline. Every sales call, prospects would say "we're also looking at [competitor]" and they'd have to fight for positioning.

We started by mapping the full competitive landscape and found something interesting. The market leaders were so focused on obvious software terms, they'd left actual gaps. High-intent keywords nobody was even trying to rank for.
So we built topic clusters around those gaps. Wrote the briefs. Wrote the content. Built links to the pages that mattered. Ran technical audits and cleaned up the site. No fluffy top-of-funnel posts—every piece had buyer intent baked in.
Then we waited. (SEO is patient work.)

One keyword went from position 70 → #1.
Another from 14 → #1.
Multiple new #1 rankings on keywords with KD 50-86.

Now when prospects hop on calls, they're saying "I found you searching for [specific solution]." They're showing up as the obvious choice, not another option in a crowded market.

Traffic stayed steady around 20K/month. But traffic value kept climbing quarter over quarter. In my experience, that's usually the sign you're capturing the right searches—not just volume, but the ones where buyers actually make purchasing decisions.

We ran the full engine: competitor analysis, topic cluster strategy, content briefs, writing, link building, technical fixes, and quarterly business reviews to keep it all on track. It compounds when everything works together.

If you're a B2B SaaS in a brutal category and your current SEO partner keeps saying "it takes time" without movement on money keywords, DM me. I'll tell you if your strategy is actually working or just burning budget.

I analyzed 16,346 AI citations across 3,000 sources to find out what actually drives visibility in ChatGPT and Perplexity.



I tracked citation patterns for three brands across HR tech, learning management, and procurement software using Peec.ai data from commercial-intent queries. The kind that lead to demos and deals.

The headlines:
→ Listicles dominate: 53% of all citations (from 46% of sources)
→ Third-party controls visibility: 97.8% of citations from domains you don't own
→ Product pages underperform: 3.5 avg citations vs 6.3 for listicles
→ Being mentioned lifts performance: +46% more citations when brand appears
→ Freshness signals work: +28% lift for putting the year in your title

Listicles capture 52.9% of all AI citations averaging 6.3 per source. Articles come in at 20% with 4.8. How-to guides at 8.1% with 4.5. Discussion threads (primarily Reddit) represent 4.8% but punch above their weight at 6.4. Product pages sit at 4.2% with only 3.5.
LLMs are structurally biased toward numbered lists when answering buyer questions.

Among high-citation sources (20+ citations), 77% are listicles, 69% don't even mention the target brand, and they average 6.5 competitors mentioned per page. The sources driving AI visibility are category-level content—not brand-specific.

Industry and niche sites dominate at 92.8% of citation volume. Reddit contributes 4.3%. Review sites like G2 and Capterra account for 1.9%. Major publications—Forbes, TechCrunch—combine for 0.6%.

Niche industry sites drive 158x more AI citations than major publications.

This points to a fundamental shift in how B2B buyers discover software.

AI functions as an editorial curator. When someone Googles "best LMS software," they get blue links and decide for themselves. When someone asks ChatGPT, the AI has already decided-synthesizing third-party editorial consensus into a shortlist.

That's why 97.8% of citations come from content you don't own. Your website barely registers. AI surfaces what other people say about you.

GEO is closer to analyst relations than content marketing. The brands that win will treat third-party editorial placement as a distribution channel. 


What's the last listicle you pitched to get your brand included? Or is that not even on the radar yet?

Pro Web Consulting

- Implementing SEO projects from start to finish, including site audits, keyword research, competitor analysis, on-page, off-page and technical SEO optimization, replatforming and migration support
- Defining SEO oriented content strategies through editorial planning to deliver content with impact throughout the year
- Analysing organic traffic, conversions and keyword ranking data, and providing analysis of results to identify trends and opportunities
- Maximising ethical link building opportunities through the use of various outreach techniques
- Staying updated on the latest SEO innovations, tools, and techniques and sharing them with the team

SEO Specialist

Connexia

SEO Consultant

La Gazzetta Del Pubblicitario

Web Content Editor

Boraso.com

Flying Cat Marketing

- Proofreading, re-structuring and editing articles by content writers and translators
- Ensure that content meets the client's needs and tone of voice, and follows our in-house style guide

Benedetta Romano

Writing SEO-optimized texts for websites and blogs about science, technology, and outdoor life

SEO Copywriter

FORFIRM

Assisting the CEO in the recruiting process, managing the administrative life-cycle of employees, and organizing their training

Consultant

Graduate School of Systemic Neurosciences - LMU Munich

- Research work through the critical analysis of experimental data and the elaboration of original theoretical hypotheses
> high initiative, and capacity to work autonomously, by effectively managing time and resources
- Vast experience in writing and reviewing research articles 
> attentive to the use of language, to the structure of the arguments presented, and to the use of devices to make them clear and convincing
- Participation in several international conferences and organization of workshops, including activities like budgeting, planning and finding sponsors
> excellent communication, presentation and networking skills
- Proven teaching and tutoring experience (creating syllabi, teaching lectures and preparing tests)

PhD Researcher

Frontiers

I worked in the Neuroscience Journal Team. My daily activities included:

- vetting manuscripts for quality and adherence to publisher policies and ethical standards;
- supporting the Journal Manager in overseeing the activities of established journals and the launch of new sections;
- building and managing editorial boards;
- communicating with authors, editors and reviewers to ensure the timely execution of content acquisition targets

Editorial Operations Specialist

With an international and interdisciplinary background in academic research, I have developed expertise in the influence of emotions on people's reasoning and decision-making.

A storyteller at heart and passionate about the power of words, I am actively exploring the fields of SEO, SEO copywriting, and technical SEO.

My goal is to contribute to a project that fosters both my professional growth and the development of my human potential.

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