The results are in! 171 search professionals from 36 countries answered this year’s SEOFOMO State of AI Search Optimization survey between 17 and 27 August, and there’s a lot in here… including how much has shifted since last year’s edition.
The short version: we’ve stopped arguing about whether to do AI search optimization and started actually doing it. What we still can’t do is measure it properly.
Let’s go through the most important insights:
Everyone’s getting asked about it, and now there’s money behind it
98% of respondents have had a client, manager or decision maker ask about AI search visibility, up from 91% last year. The bigger jump is budget: 69% now have it allocated, versus 38% in 2025. 61% say their investment grew during 2026, and only 1% saw it cut.
It’s not a side project anymore
75% have a dedicated AI search optimization strategy for at least some of their sites, up from 51%. 92% are tracking AI visibility and citations, up from 78%. And the share saying nobody owns this work dropped from 11% to 4%, someone’s finally in charge.
About this, Crystal Carter, Head of AI Search and SEO Communications at Wix, says:
“The evolution of AI search as a primary function, does not come as a surprise for me. There is incredible buy in from the c-suite with regards to being present in these platforms And search marketers are responding to this need. As a result, we are seeing new tools becoming commonplace, new skills being acquired, and new positions being developed. It’s an incredible time to be working in search.”
It’s still an SEO job
The SEO team leads it for 77% of respondents, basically where it was last year at 75%, and most budget still lives inside SEO. Standalone AI search budgets grew from around 5% to 15%, so they exist now, they’re just not the norm.
About this result, Nick LeRoy, SEO Consultant and founder of seojobs.com and SEOforLunch, says:
“The marketing world is divided on long term value of SEO. Many confuse SEO and AI being an “either or” proposition. It’s not. I for one, am excited and absolutely believe SEO or “growth marketing” should own AI. It’s such a hot topic that SEOs are finally getting a seat at the table… not merely asking to “do your SEO thing” before a site release/launch.”
Jono Alderson, Independent Technical SEO consultant, says:
“77% isn’t necessarily a sign that SEO has won. It might be a sign that the organisation has lost. SEO inherits visibility problems because we’re usually the people who notice when they’re broken. AI search looks like the same pattern happening again. The danger is that we build another permanent function around the symptoms: more specialists, tools, dashboards, content, optimisation. Lots of activity, while the actual reasons a brand isn’t being surfaced remain untouched. Sometimes the fix is technical – but more often it’s better messaging, stronger evidence, clearer differentiation, better products, better market fit, or simply being worth talking about. The goal shouldn’t be to turn SEO teams into AI optimisation teams. It should be to make both teams unnecessary.”
We’re optimizing across a lot of surfaces
AI search optimization is multi-platform work already: ChatGPT leads, followed by Google’s AI search surfaces and Gemini.
About this result, Tory Gray, Founder and CEO of The Gray Dot Company, says:
“In our own client work, we’ve seen the LLMs most relevant to a brand’s audience vary from one industry to the next, and even sometimes, one competitor to the next. That matters! Methods that work for one LLM are starting to diverge from – or even conflict with – methods that work for another. If you want to optimize for GEO, you have to know who you’re optimizing for, and the answer is in your data. Log files can tell you which bots are crawling which pages on behalf of which LLMs, while your internal analytics can tell you which AI referrers are contributing most to traffic and revenue. Focus on optimizing for the top performers, prioritizing the tactics that won’t harm your existing Google results (or better yet, the ones that will help them too!).”
The things people credit with actually moving the needle are the fundamentals
Expanding content to cover more relevant questions and topics, improving crawlability and accessibility, and restructuring content so answers are easier to retrieve. Nothing really new. However, AI automation and agents are now part of the day to day, producing and reworking content, researching and clustering prompts, finding opportunities, analyzing competitors, tracking visibility.
About this, Dan Petrovic, Director at DEJAN, says:
“Seeing on-page work like content expansion and restructuring ranked as top impact drivers matches what we see in our selection rate optimization experiments. Grounding snippet and full page optimization is something we obsess over at DEJAN. I’d love to see a follow-up survey or a study which probes deeply into that aspect of AI influence work. The biggest blind spot I can see is that the industry appears focused almost entirely on the live retrieval layer. Probing a model’s parametric memory for its primary bias, or the baseline confidence it holds about an entity before any search runs. Measuring that baseline weight, combined with on-page selection signals during grounding, determines whether an engine cites you or drops you.”
Measurement is where it all gets stuck
The top challenges are measuring AI search visibility reliably, understanding what actually drives it, and connecting visibility to traffic, conversions and revenue. Meanwhile, what we measure is drifting toward brand: tracking brand visibility and brand sentiment both grew year over year, while traffic and conversion/revenue metrics held steady. The work is moving, but proving what it’s worth hasn’t caught up.
About this, Bengü Sarıca Dinçer, SEO Manager from Designmodo, says:
“92% of respondents are already tracking AI visibility and citations, yet measuring that visibility reliably is still the biggest challenge. Maybe the issue isn’t just that AI search is hard to measure, but that we’re trying to measure it too literally. A user might discover a brand through AI, return later through branded search or direct, and convert with no visible AI touchpoint in analytics. So rather than chasing a perfectly attributable “AI ROI” number, I’d triangulate visibility with branded demand, returning behaviour and conversions while being clear about what’s measured and what’s inferred.”
Impact is real, but it’s small for most of us
56% report at least some positive business impact, though only 5% call it significant, 28% see none yet, and 5% report a negative impact. The share attributing more than 5% of site revenue to AI search more than doubled, from 8% to 19%. But 46% still put it at 0-5%, and 35% can’t tell what it contributes at all.
Cyrus Shepard, Founder & SEO AI Search Growth Consultant at Zippy SEO, says:
“Interestingly, the numbers tell a fascinating story about the emergence of AI search as a stand-alone discipline. 69% of respondents have allocated budget to AI search, but only 51% see a positive impact, and for many, less than 5% of site revenue is affected. And with so many people reporting difficulty measuring visibility and attribution, these are all signs of an industry in its early stages of development. In short, very few people know what they should be doing with AI, but the overwhelming pressure to do “something” drives everyone forward. I suspect the early “doers” and experimenters will be the biggest winners.”
The bottom line
AI search optimization has gone from something everyone was asking about to something teams budget for, plan for and track. Measurement and business attribution haven’t kept up, and that’s the main thing holding it back right now.
About the results, Mark Williams-Cook, from Candour and AlsoAsked, says:
“We are seeing the last vestiges of organic search being treated like a performance channel. You’ve got 69% with budget allocated, 75% with a dedicated strategy, 92% tracking visibility, but in terms of revenue share, 80% have “no idea” or it’s <5% of what can be tracked. I think it highlights how difficult attribution has become and if you take the approach of “only invest in what we can directly attribute”, you’re going to be left a long way behind.”
Thank you!
This only works because 171 of you took the time to answer honestly about work that’s still messy, hard to measure and changing every month. Thank you for that, and for sharing the survey around.
Also, big thanks to the tools that supported this year’s edition for making the survey and the giveaway possible: Similarweb, Semrush, Peec AI, Waikay, AlsoAsked, Finchling, Glippy, Screaming Frog, Sitebulb, Keyword Insights, SE Ranking and DemandSphere
Last but not least: Huge congratulations to Seb Atkinson, who won this year’s giveaway! I’ll contact you in the upcoming days to arrange access to the tools.
Now go through it yourself
What you’ve just read is the high-level view. The report itself has every question with its full answer breakdown, plus commentary from experienced AI search specialists like Lily Ray, Kevin Indig, Ray Martinez or Celeste Gonzalez working through what the numbers mean in practice, where they agree with the data, where they don’t, and what they’d do about it.
Go through the 2026 results at your own pace, then open last year’s edition alongside them. Twelve months is a long time in AI search, and seeing the two side by side tells you more than either does on its own. I’m already looking forward to what the following months will bring!
Emma-Jane Stogdon, Organic Content Manager, says about these results:
“It makes total sense and doesn’t surprise me that 77% of AI search optimisation remains within the SEO team. The foundational work like crawlability, structured answers and topical depth is essentially the solid SEO work we’ve been crafting and honing for years. Where teams often go wrong is treating AI as an autonomous content factory. Full AI workflows are a risk to both brand trust and quality. Instead, our role as SEOs is to bring transparency to how AI is integrated into day-to-day processes, using it as an assistive tool rather than replacing human oversight or outsourcing our critical thinking.”
Judith Lewis, Digital Marketing, SEO Specialist, and Founder at Decabbit Consultancy:
“The biggest reason why optimising for LLMs like ChatGPT and Gemini should sit with SEO is that every business needs to think about the long term and not just about the moment. All channels of discoverability where your audience lives should be leveraged and search – which is where SEO shines most brightly – is still a major discoverability channel. While ChatGPT, Claude, Perplexity and others may be interesting and new, longer term search seems to be a major discoverability channel. That long term vision has always been what many SEOs have striven towards, not just in Google but also with Bing, YouTube, and other platforms often leveraged by senior SEO professionals because that is where searches are happening. ChatGPT still has a very low percentage of what seems to be search behaviour so for the moment, when going for more budget to tackle AI search, the most valuable use of that budget is traditional SEO.”
77 %
The SEO Team / Specialists
132 answers
6 %
Shared across multiple teams
11 answers
5 %
Broader Digital / Growth Marketer
8 answers
4 %
Dedicated AI Search Optimization Specialists / Team
6 answers
4 %
No one is in charge
6 answers
About these results, Orit Mutznik, Head of SEO & AI Search, says:
“I’m not surprised that 54% include AI search as part of their SEO budget. Most of it is work SEO teams already do: Ensuring accessibility for all crawlers (traditional and LLM), improving content extractability and building brand authority. However three things require separate budgets: The first is new tracking tools, to see how you show up across ChatGPT, Google and the rest to inform your content decisions. The second is PR: Traditional PR (branding) and Digital PR (for both SEO and AI search visibility), because third party citations help reinforce the message your brand is trying to convey. The third is a dedicated content resource, writers and editors who take the insights from your AI visibility tools, such as sentiment and competitive gaps, then make sure they are covered in your content. The 16% with no budget and no plans surprised me, when 98% have been asked about AI visibility: Someone is asking the question and no plans have been made to answer it. Report on AI search within SEO but separately to build your business case, showing promise from an initial benchmark.”
54 %
Yes, but not as an independent channel but as part of SEO
93 answers
16 %
Not yet and don't have plans
27 answers
11 %
Not yet but have plans
19 answers
9 %
Yes, as an independent channel and it is more than for SEO
16 answers
5 %
Yes, as an independent channel and it is less than for SEO
9 answers
4 %
I don't know
7 answers
38 %
Increased somewhat
65 answers
25 %
Stayed roughly the same
42 answers
23 %
Increased significantly
39 answers
10 %
There is currently no investment
17 answers
4 %
I don't know
6 answers
1 %
Decreased somewhat
2 answers
About this result, Silvia Martin Palacio, Digital Marketing & SEO Consultant and Founder at Trebole, says:
“This result is broadly in line with what I would expect at this stage. AI search currently represents a much smaller share of traffic and revenue for businesses than traditional organic search. At the same time, I’m not surprised that only 57% of respondents have created a dedicated AI search strategy, given the significant overlap between good SEO and AI search optimisation. Improving content quality, structure, authority, entity signals and technical accessibility can benefit both traditional search and visibility across AI platforms.”
57 %
Yes, there is for all or most of the sites I work
97 answers
18 %
Yes, there is, for very few of the sites I work
31 answers
15 %
Not yet, but with plans to create it
26 answers
6 %
Not yet, and without plans to create it
11 answers
1 %
I don't know
1 answers
About these results, Lily Ray, Founder of Algorythmic and VP, SEO & AI Search at Amsive, says:
“Managing a strategy that works across AI Overviews, AI Mode, and Gemini while also driving visibility in ChatGPT and other LLMs is becoming increasingly challenging, especially as these systems start to diverge in how they search for, retrieve, and surface information. It’s been particularly interesting to watch ChatGPT develop its own mechanisms for retrieving high-quality information from search engines, and to see which types of content are increasingly being filtered out in the process. There’s an interesting pattern emerging: some of the page types that became popular specifically because they performed well for AI search visibility now appear to be the same page types declining in ChatGPT’s retrievals. In other words, some of the tactics that worked for optimizing for LLM visibility may already be becoming less effective as their models improve.”
19 %
Google AI Overviews
146 answers
18 %
Google AI Mode
134 answers
8 %
Perplexity
58 answers
6 %
Microsoft Copilot
42 answers
About these results, Jonathan Moore, SEO & Analytics Consultant, says:
“Change equals disruption, and SEOs are having to adapt quickly and find workarounds to mitigate the lack of first-party data. Despite the limitations created by the probabilistic nature of LLM outputs, measuring visibility and citations has quickly gained a foothold, with a burgeoning menagerie of suppliers supporting these endeavours.”
50 %
Yes, for all or most of the sites I work
86 answers
42 %
Yes, for some of the sites I work
72 answers
4 %
No but plan to
6 answers
4 %
No and I don't plan to
6 answers
1 %
I don't know
1 answers
Celeste Gonzalez, Content Implementation and Product Specialist at Lastmile Retail, says about this:
“I’m happy to see brand sentiment noted as a growing metric, however it’s still low at 11%. Once people began to focus on how to measure performance from AI search, they immediately went from basic rank tracking to prompt tracking without digging deeper. Sentiment absolutely affects conversions and is shaped by mentions, whether it’s from reviews, social comments, or posts. I imagine that this number will continue to grow YoY as stakeholders continue to put pressure on SEOs to offer answers to why they may have hundreds or thousands of citations, but the conversions aren’t there.”
Chris Green, Technical Director, Senior Consultant at Torque Partnership, says:
“It appears that respondents are yet to tap into the value access logs can provide as a proxy for “popularity” from AI chatbots. This information is not always freely available, but 2026 is the year you need to put a robust business case to request them.”
19 %
Brand visibility/mention in relevant answers
152 answers
16 %
AI search platforms traffic
123 answers
15 %
Brand inclusion in AI answers cited sites/sources
121 answers
14 %
Share of voice / visibility compared with competitors
111 answers
12 %
Brand links to site from relevant answers
93 answers
11 %
Brand sentiment in relevant answers
87 answers
11 %
AI search platforms conversion/revenue
81 answers
1 %
I'm not using any
5 answers
0 %
I don't know
1 answers
About these results, Gianluca Fiorelli, SEO & AI Search Optimization Consultant, says:
“The results are quite surprising. For months we have seen share all over about the importance of being mentioned by third-party websites and to engage and make our brand more active and visible in UGC platforms or YouTube… but then, at least for this survey, those activities are amongst the less cited (between 2% and 6%). Even if if I am a big proponent of technical AI Search, Entity Search, Structured Data and Topical Authority (all activities with more cited), I fear that these numbers are implying a probably not fully understood nature of AI Search: having a website that owns topical authority and is the source of truth for the services/products/topics it targets, AND that third party website backup with backlinks and positive mentions. Owning topical authority is needed but not enough; LLMs looks in third-party sites the confirmation of the authority we self-declare about us.”
13 %
Improving technical crawlability/accessibility for AI search platforms
106 answers
13 %
Expanding content to better cover relevant questions, topics and intents
105 answers
12 %
Restructuring content to make answers/information easier to retrieve
97 answers
12 %
Strengthening brand/entity signals and authority
96 answers
11 %
Implementing or expanding structured data
90 answers
8 %
Tracking AI visibility, mentions and citations
68 answers
6 %
Creating original research, data or expert-led content
52 answers
6 %
Earning third-party brand mentions/citations/coverage through Digital PR
51 answers
5 %
Analyzing AI traffic, conversions and revenue
39 answers
3 %
Researching relevant prompts/queries
28 answers
3 %
Improving reviews and reputation across third-party platforms
27 answers
3 %
Increasing visibility through YouTube/video
21 answers
2 %
Increasing visibility on Reddit/forums/communities
19 answers
About these results, Dave Peiris, SEO Consultant and AI Engineer. Co-founder, Finchling, says:
“What I find interesting is just how broad the activities are. AI search optimisation looks a lot like SEO in that respect: it spans everything from technical improvements and content to brand building and PR. The PR side is particularly interesting. Respondents are seeing impact from work that strengthens brand authority, earns third-party coverage, produces original research and improves reputation. It suggests that if you want AI platforms to understand who you are, what you say about yourself is only part of the picture. What credible third parties say about you matters too. SEO has always overlapped with PR and brand building, and these results suggest AI search will be no different.”
Yagmur Simsek, SEO & AI Visibility Consultant and Founder of “Search ‘n Stuff”, says:
“The result I’m happiest to see is digital PR landing in the top six most-impactful activities, the highest-placed off-site activity on that list, right alongside the content and technical fundamentals everyone already agrees on. It matches what I’m seeing across my own projects. Some of the strongest mentions I get in AI answers come from off my (my clients’) own pages entirely: an industry publication covering the brand, a founder on a conference stage, a podcast episode, an awards shortlist, a newsletter write-up, a review roundup, a thread in a community where people are honestly recommending things to each other. None of those are things I can ship from a CMS, and I think that’s exactly why they carry weight. Strategised well, digital PR has become one of the most reliable levers I have for AI visibility, and it compounds: coverage earned once keeps getting picked up months later. I’d expect it to climb further in next year’s survey.”
18 %
Expanding content to better cover relevant questions, topics and intents
80 answers
17 %
Improving technical crawlability/accessibility for AI search platforms
75 answers
16 %
Restructuring content to make answers/information easier to retrieve
69 answers
10 %
Strengthening brand/entity signals and authority
45 answers
9 %
Implementing or expanding structured data
38 answers
9 %
Earning third-party brand mentions/citations/coverage through Digital PR
38 answers
6 %
Creating original research, data or expert-led content
26 answers
3 %
Improving reviews and reputation across third-party platforms
15 answers
3 %
Analyzing AI traffic, conversions and revenue
13 answers
2 %
Tracking AI visibility, mentions and citations
10 answers
2 %
Increasing visibility on Reddit/forums/communities
7 answers
1 %
Increasing visibility through YouTube/video
6 answers
1 %
Researching relevant prompts/queries
4 answers
About these results, Miracle Inameti-Archibong, Product Marketing Lead at John Lewis Partnership, says:
“I am not surprised that Reliably measuring AI search visibility is one of the top challenges of AI search optimisation. Optimising for AI search relies heavily on brand building, and there is growing pressure for brand to be treated as a performance channel, however, traditional brand KPI’s such as brand awareness and positive sentiment doesn’t always translate into tangible short term measurements. Consequently, SEOs have to come up with more creative ways to justify the spend and reduce friction with commercial stakeholders.”
19 %
Reliably measuring AI search visibility
94 answers
14 %
Understanding what actually influences AI search visibility
69 answers
14 %
Connecting AI visibility with traffic, conversions and revenue
69 answers
12 %
Lack of reliable data
59 answers
7 %
Rapid changes across AI search platforms/models
35 answers
7 %
Identifying the right prompts/queries to optimize for
33 answers
6 %
Coordinating/aligning SEO, AI search optimization, content, PR, social and brand efforts
31 answers
6 %
Lack of resources/time
29 answers
5 %
Lack of budget
25 answers
4 %
Earning relevant third-party mentions and citations
20 answers
2 %
Lack of internal skills or knowledge
9 answers
2 %
Getting stakeholder/decision-maker buy-in
9 answers
1 %
We're not currently facing any significant challenges
4 answers
About these results, Kevin Indig, Growth Advisor and Founder of Growth Memo, says:
“I see a pattern here. Performance metrics like conversions are hard to measure and almost impossible to attribute, so teams fall back on awareness and visibility. Personally, I think that’s the right call because it allows us to bond with PR, product marketing and social teams. I think that’s a better place for AEO than performance/growth marketing because it can live up to expectations.”
24 %
Increase brand visibility/awareness in AI answers
105 answers
17 %
Increase citations/mentions from relevant AI platforms
74 answers
13 %
Increase qualified website traffic from AI platforms
57 answers
13 %
Increase leads/conversions/revenue from AI platforms
56 answers
11 %
Increase visibility versus competitors in AI answers
47 answers
6 %
Improve brand reputation/sentiment in AI answers
28 answers
5 %
We haven't agreed on a primary goal yet
23 answers
5 %
Protect/maintain existing search visibility
22 answers
5 %
Learn/test AI Search before making a larger investment
21 answers
About these results, Nik Ranger, Senior SEO Consultant, says:
“For the 28% seeing no measurable impact yet, 9% who can’t determine it and the 5% with negative impact, these results make me want to know the approach behind those answers. To me, improving AI visibility includes restructuring content so answers are easier to retrieve, improving technical crawlability and accessibility for AI search platforms, strengthening brand and entity signals, creating original research and expert led content, and researching relevant prompts. From a technical SEO perspective, I audit to make the answer extractable, make the page accessible, and make the entity recognisable, and then from a content lens, make claims worth citing. So the question for those folks is if you need more time for it to show improvements, or if the methodology isn’t there. Because this is important work with impact that reaches further than what is currently being measured.”
Mordy Oberstein, Head of Brand at SE Ranking & Planable, says:
“Reading these surveys every year, you can see how we move closer and closer to a new “direction.” I think where we ultimately need to end up, from an AI Search perspective, is that we’re trying to gauge brand lift. And that’s not a “one metric” mission – that’s connecting the dots across your entire digital (and non-digital) ecosystem to understand the correlations and inertia. This philosophy of marketing would say if there is brand lift, there will be conversions, or at least more opportunity for them. Not very unlike when we say, “If you rank well, you’ll increase your chance to get clicks.” The question will be: can we figure out what data makes sense, what doesn’t, what data can even tell us or not tell us, etc. And I think it will be very important for the industry to do so without overrelying on the tool providers’ POV on this. I do recognize the irony and contradiction in my saying that.”
51 %
Some positive impact
87 answers
28 %
No measurable impact yet
48 answers
9 %
We can't currently determine the impact
16 answers
5 %
Significant positive impact
9 answers
5 %
Negative impact
9 answers
1 %
Not applicable
2 answers
About these results, Ray Martinez, Vice President of SEO at Archer Education, says:
“The attribution gap is what worries me. 35% can’t say what AI search contributes to revenue at all, and 46% put it at 0-5%. That’s a hard position from which to defend the budget 69% of teams now have. The better news is organic traffic and lead quality. People are finding brands through these tools and arriving further along in their decisions. We can’t point at it cleanly yet. SEO owning this makes sense, since AI search runs on information retrieval. But measurement and understanding what drives visibility top the challenges list, so owning the surface and knowing how to get surfaced are two different things.”
46 %
0%-5% of site revenue
78 answers
35 %
I have no idea
60 answers
13 %
5%-15% of site revenue
23 answers
2 %
30%-50% of site revenue
4 answers
2 %
15%-30% of site revenue
4 answers
1 %
70%-90% of site revenue
1 answers
1 %
50%-70% of site revenue
1 answers
About these results, Gerry White, SEO & AI Search Optimization Consultant and Founder at Dergal, says:
“Content creation topping this list makes sense, it’s the easiest place to point a model at scale, but it’s also the bit I’d trust least without a human doing final judgement. Where AI automation actually earns its keep for me isn’t writing the copy, it’s the unglamorous middle: clustering hundreds of prompts into real topics, spotting the gaps in that clustering, scripting the bits that surface them, and assessing the output. I also love it for improving ticket writing. The real unlock this year has been wiring tools straight into the agent via MCP instead of exporting and pasting between tabs, Sistrix data, GSC, GA4 all live in the same workflow now, so an agent can pull the visibility data, cluster it, and hand me a ready-to-action ticket in one pass. That’s where agents save me days. The finished content still needs a person to stand behind it.”
13 %
Creating, restructuring or optimizing content
94 answers
13 %
Researching and clustering relevant prompts or queries
91 answers
12 %
Identifying and prioritizing content opportunities
83 answers
11 %
Analyzing competitors, cited sources and visibility gaps
77 answers
10 %
Monitoring and measuring AI visibility, mentions, citations, traffic or revenue
72 answers
9 %
Running technical audits and checks
67 answers
9 %
Generating or validating structured data
63 answers
8 %
Coordinating AI search optimization workflows or executing repetitive tasks
58 answers
7 %
Automating reporting and stakeholder updates
50 answers
5 %
Identifying brand, digital PR or third-party visibility opportunities
35 answers
2 %
We’re not using it and have no current plans to
11 answers
1 %
We’re not using it yet, but plan to
10 answers
About these results, James Norquay, SEO and Founder of Prosperity Media, says:
“Surprised to see so many people relying on Google Search Console as a primary tool for AI search tracking. The data in GSC is still pretty limited, so hopefully Google expands those capabilities soon. Dedicated tools like Peec, Profound, and Ahrefs offer way deeper AI visibility, yet they scored much lower in the votes. At Prosperity Media, we rely on a mix of these platforms alongside our own in-house analysis tools to get a complete picture.”
28 %
Google Search Console
49 answers
17 %
Google Analytics / GA4
29 answers
14 %
Bing Webmaster Tools / Bing
24 answers
6 %
Microsoft Clarity
11 answers
6 %
Screaming Frog
11 answers
3 %
ChatGPT / OpenAI
6 answers
AUTHOR Aleyda Solís
Aleyda Solis is an SEO and AI Search consultant and the founder of Orainti, a boutique consultancy advising some of the world's leading brands on organic growth. One of the most followed organic search specialists and most sought-after SEO and AI Search Optimization speakers, she's the maker behind SEOFOMO, the weekly newsletter read across the SEO industry, and its sister publications AI Marketers and MarketingFOMO, plus the free Learning SEO and Learning AI Search roadmaps that have helped thousands break into the field. She also runs SEOFOMO News, the SEOFOMO Meetups, and the Crawling Mondays video series and is the co-founder of Finchling, a PR story opportunities platform.
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