too “Some clients now tend to trust AI recommendations over ours, even though ours come from real experience.” Anonymous tech SEO https://hub.seofomo.co/surveys/seofomo-technical-seo-survey/
tech seos in 2026? … and how to succeed navigating THESE SHIFTS? By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
The challenge? AI output quality control is an issue & implementation support still A major bottleneck By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
The challenge? STAKEHOLDERS OVER-focus on AI, overlooking seo pillars, adding pressure to prove impact & value of expertise By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
challenge? Changes are happening so QUICK that makes it very hard to reliably measure and show impact By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
2026? 1. EXECUTION BOTTLENECK 2. PRESSURE TO PROVE VALUE to decision makers OVER-FOCUSED on AI SEARCH 3. CHALLENGES TO reliably measure & show impact due to fast pace By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
these seo are not really new!in 2026? tech challenges 1. EXECUTION BOTTLENECK 2. PRESSURE TO PROVE VALUE to decision makers OVER-FOCUSED on AI SEARCH 3. CHALLENGES TO reliably measure & show impact due to fast pace By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
prioritization tied to business goals decision makers care about 2. Coordination with existing initiatives & campaigns from other areas with funding. Eg. social media & community mgmt 3. Alignment with ai search goals that will get easier support & buy-in By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
we should align efforts https://speakerdeck.com/aleyda/what-gets-cited-and-clicked-in-ai-answers-today-dot-dot-dot-and-what-should-we-do-about-it-masters-of-search
Embed SEO earlier and create SEO champions inside PRODUCT & engineering 2. Make recommendations implementation ready: use ai to send code snippets examples, rather than long specifications 3. Leverage edge seo to prove value with pilot projects and tests By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
1. Build business cases in revenue/risk language, not tech SEO terminology 2. Connect every tech request to both traditional and AI search outcomes. Eg. Reliance on JS rendering. 3. Show examples of industry leaders / competitors doing what you’re recommending By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
& conversions AI SEARCH VISIBILITY BRAND RECALL DIRECT CLICK CHECKOUT & AGENTIC COMMERCE AI SEARCH TRAFFIC DECISION IN AI PLATFORM PURCHASE IN AI PLATFORM OFF PLATFORM INFLUENCE INDIRECT & MULTI-TOUCH WEBSITE VISIT AI SEARCH REVENUE By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
answers Traditional Search AI Search Ranked list Synthesized answers Stable position Volatile outputs Click-first Influence without clicks One-engine mindset Platform fragmentation Performance driven Performance & brand influence By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
biz impact Metric Layer Why it matters KPI Roles 1. Presence Are you actually appearing, and how? Replaces traffic-only thinking with visibility and representation measurement Visibility KPIs Optimization and monitoring 2. Readiness Are you structurally prepared to be surfaced? Explains why visibility is weak, strong, or unstable; the diagnostic layer Diagnostic KPIs Diagnosis and prioritization 3. Business Impact Are visibility and readiness translating into value? Connects AI search activity to commercial outcomes without overclaiming attribution Outcome KPIs Executive reporting and decision-making https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
key topics Eg. for Prompt “Women’s straight-leg jeans under $100” 1. Presence: Identify the gap 2. Readiness: Diagnose and act 3. Business impact: Measure the outcome The product line rarely wins relevant shopping recommendations. For prompts such as “Best women’s straight-leg jeans under $100,” it appears in 40% of answers, receives a store link in 25% of appearances, and wins 10% of relevant comparisons. The audit finds missing fit details, outdated prices and limited independent reviews of this line. Add rise, inseam, stretch and sizing guidance; synchronize prices and availability across product pages and feeds; pursue independent reviews testing these jeans’ fit and quality. Following improvements: linked citation rate rises 25% to 50% and comparative win rate 10% to 30%. What this means: The jeans are occasionally included, but shoppers are more often directed toward competing products. What to prioritize: Help AI systems and shoppers verify which jeans match their fit, budget and purchase requirements. How to interpret it: More recommendations and links coincide with higher tracked sales for this line. Purchases of this line in tracked AI referred sessions rise 12 to 28; at an $80 average selling price, attributed product revenue rises $960 to $2,240. Searches for “[brand] women’s straight-leg jeans” rising 12% provide a supporting proxy; they don’t prove AI caused the growth. https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
ones Observed Question: How many users clicked and converted from an AI answer? Metrics from platforms passing a referrer or a UTM. Highest confidence, lowest coverage. Proxy (own & third party) Question: 1. Own: Is there evidence users are seeing us in AI answers even when they do not click? 2. Third Party: How does our AI presence compare to competitors and which prompts are driving AI traffic? Directional signals that correlate with AI influence but do not prove it. Medium to medium-low confidence, broader coverage. Modeled Question: If we assume X% of branded search lift is AI-attributable, what is the implied pipeline? Estimates produced by applying assumptions to observed and proxy data. Lowest confidence, used for planning, never for proof. https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
should be a pattern consistent with AI efforts Category How to do it Branded search trend GSC query report filtered to brand terms, or the native branded/non-branded toggle. Track week-over-week and month-over-month. Direct and unattributed traffic trend GA4 Direct channel, especially to pages that are not shared in email or paid campaigns. Demand for frequently-surfaced pages Impressions and direct/organic traffic to the pages you have verified are being cited in AI answers. Survey-based discovery One question added to signup, demo, or post-purchase flows Bing Webmaster Tools AI Performance First-party citation counts, cited URLs, and grounding queries for Microsoft Copilot and Bing AI summaries. The only first-party citation data available from any AI ecosystem today. Social listening on brand mentions in AI-adjacent contexts Reddit, LinkedIn, Slack communities where “has anyone used X?” conversations happen. https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
users attributed to Direct or Branded Organic is the strongest proxy that AI influence exists beyond what analytics shows https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
my guide with examples, checklists & claude skills https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
these better to tackle these challenges tech seo challenges in 2026? 1. EXECUTION BOTTLENECK 2. PRESSURE TO PROVE VALUE to decision makers OVER-FOCUSED on AI SEARCH 3. CHALLENGES TO reliably measure & show impact due to fast pace By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
Mode / ChatGPT / TikTok / YouTube / Baidu / Any Platform Used for SEARCH/DISCOVERY] By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
& Founder at Orainti ❏ Co-founder at Finchling ❏ Creator of the SEOFOMO & AI Marketers Newsletters ❏ Maker of LearningAIsearch.com & LearningSEO.io Speaker & Author ❏ Author of SEO, Las Claves Esenciales ❏ Spoke at +200 events in +30 countries By Aleyda Solis / SEO & AI SEARCH CONSULTANT & FOUNDER at ORAINTI / SEOFOMO / FINCHLING
SiteGround - Reliable hosting with speed, security, and support you can count on.
aleyda
joss1
sairu_inc
osbplyp5611
dawnieando
whitworthseo
katarinadahlin
chrisleverseo
.png){kind=avatar}
samanyougarg
pojda
.JPG){kind=avatar}
amandafloq
marcogiordano96
portentint
addyosmani
chriscoyier
emna__ayadi
aemeredith
lynnandtonic
baasie
tammyeverts
scottboms
codingconduct
quramy
