DEV Community: Alexander Todosuik

We Analyzed 1 Million Keywords to See How AI Is Actually Changing Click Distribution in 2026

Alexander Todosuik — Mon, 10 Aug 2026 16:44:24 +0000

Most discussion of AI's effect on search traffic is anecdotal: a screenshot of one site's traffic graph, a single case study, a claim from one agency's client portfolio. A dataset of 1 million keywords gives a very different picture -- not "AI is killing organic traffic" or "AI is fine, nothing changed," but a much more specific breakdown of where clicks are actually being redistributed and where they are not.

The Headline Number Everyone Quotes Is Misleading on Its Own

"AI Overviews reduce organic clicks" is true in aggregate and useless for planning. The actual redistribution is heavily concentrated in specific query types, not spread evenly across all search traffic.

Purely informational queries with a short, factual answer -- definitions, conversions, single-fact lookups -- show the steepest click decline when an AI Overview is present. Queries requiring comparison, opinion, recent data, or a decision between options show a much smaller decline, and in some categories, close to none.

Where the Data Diverges From the Common Narrative

Commercial investigation queries (comparison shopping, "best X for Y" formats, pricing research) are far more resistant to AI Overview click suppression than purely informational ones. The AI can summarize a definition; it struggles to fully replace a comparison the user wants to verify themselves before spending money.

Branded and navigational queries are barely affected -- unsurprising, but worth stating plainly, since some site owners have applied "AI is eating our traffic" broadly to categories where the actual data shows minimal change.

Local intent queries show a different pattern entirely, tied more to Business Profile and map-pack visibility than to organic listings, meaning the AI Overview conversation mostly does not apply to them the way it does to national informational content.

Full breakdown of the query-category data and what it means for content prioritization in 2026: https://yositeup.com/blog/ai-reshaping-google-search-1m-keywords-2026

What This Means for Content Planning

Treating "AI Overviews are hurting my traffic" as a single problem with a single fix (write more FAQ content, add more schema) misses that the actual impact is category-specific. A site heavy on short factual/definitional content is in a fundamentally different position than a site built around comparisons, original research, or transactional intent.

The practical shift for 2026 content planning: audit which category your existing traffic falls into before deciding whether the AI Overview conversation is even the right problem to be solving for your specific content mix.

How to Tell If a Ranking Drop Is a Core Update or Just Google Testing Positions

Alexander Todosuik — Mon, 10 Aug 2026 16:44:21 +0000

Search Engine Land, SE Roundtable, and third-party rank trackers all flagged significant SERP volatility on July 23-24, 2026. Google's Search Status Dashboard stayed clean the entire time. No confirmed core update, no announced spam action -- just rankings moving. The SEO community started calling it the "7-Eleven update" after the date it peaked.

This keeps happening, and most site owners have no reliable way to tell the difference between "this is a confirmed algorithm change" and "this is normal noise" before they start making changes to a site that did not need them.

Why Unconfirmed Volatility Is Actually the Harder Case

A confirmed core update comes with a rollout window, sometimes a blog post, and eventually enough public data that patterns become visible: who got hit, what those sites had in common. Unconfirmed volatility has none of that. You are working from your own rankings and whatever third-party sensors happened to catch the movement.

The instinct to react immediately is understandable but usually wrong. Position tracking tools show natural day-to-day variance even outside any update -- Google runs live experiments on ranking factors constantly, and some percentage of what looks like a "drop" is one of those tests resolving, not a permanent change.

A Practical Checklist Before You Assume It Is an Update

Check the spread, not just your site. If your rankings moved but your closest competitors' did too, in either direction, that points toward a broader algorithm event rather than something specific to your site.

Check multiple tracking tools, not one. A single rank tracker showing volatility could be a tool-specific glitch (proxy issues, SERP feature misattribution). Cross-reference at least two independent sensors.

Wait 5-7 days before restructuring anything. Positions that recover on their own within a week were very likely a test or temporary re-ranking, not a lasting change. Making structural edits during that window makes it harder to isolate what actually happened later.

Check Search Console for a pattern, not a single day. One bad day in the Performance report is noise. A sustained multi-day shift with a clear before/after line is a real signal worth investigating.

Full write-up of what happened on July 23-24 specifically and how it compared to confirmed core updates earlier in 2026: https://yositeup.com/blog/google-ranking-volatility-july-2026

What Actually Warrants a Response

If rankings drop and stay down past a week, if the pattern matches known core update signatures (content depth, E-E-A-T signals, site-wide rather than page-specific), and if competitors in your space show the same pattern -- that is when the checklist shifts from "wait and watch" to "audit and act."

The mistake most sites make is skipping straight to "act" on day one of any visible ranking movement, based on noise that would have resolved on its own within a week.

Google Ads Is Auto-Upgrading Accounts to AI Max on September 1 -- Most Advertisers Do Not Know They Are Affected

Alexander Todosuik — Mon, 10 Aug 2026 15:37:55 +0000

Google confirmed on August 5 that it will begin automatically converting Search campaigns to AI Max starting September 1, 2026. The trigger is not a manual opt-in: it is based on two settings that many accounts have had switched on for years without anyone actively managing them.

The Two Settings That Decide If You Are Affected

If a campaign has Automatically Created Assets enabled, Google converts it to AI Max with search term matching and text customization turned on by default. If a campaign uses the campaign-level broad match setting, it converts to AI Max with search term matching enabled, without automatic text customization.

Campaigns without either setting active are untouched. But both settings are the kind that get switched on once during account setup -- often years ago, sometimes by an agency that has since moved on -- and never revisited. That is the actual risk here: campaigns changing behavior on a fixed date with nobody having reviewed the decision recently.

What Actually Changes After Conversion

Search term matching lets Google decide which queries your ads are eligible for, beyond your literal keyword list. Text customization lets Google rewrite headline and description variations dynamically per query. Both trade manual precision for broader automated reach.

Google's internal 2026 data claims campaigns running the full AI Max feature set -- search term matching, text customization, and final URL expansion together -- see roughly 7% more conversions or conversion value at a similar CPA or ROAS than campaigns using search term matching alone. That figure excludes retail advertisers and compares AI Max configurations against each other, not against a fully manual campaign with none of these settings enabled.

This Is Not the DSA Migration

Advertisers who remember Google delaying the Dynamic Search Ads to AI Max migration to February 2027 sometimes assume all AI Max transitions got pushed back. They did not. This September 1 change is a separate, faster-moving migration for standard Search campaigns, and it is proceeding as originally announced.

Before September 1

Check every active Search campaign for Automatically Created Assets and campaign-level broad match under campaign settings. For any campaign where either is on, decide deliberately: let it convert, or disable the setting now to opt out.

Update negative keyword lists and brand exclusions before the conversion, not after. Broader search term matching without solid negative coverage is the most common way advertisers see wasted spend spike following an AI Max upgrade. Full setup guide: https://yositeup.com/blog/ai-max-negative-keywords-brand-exclusions-2026

Full breakdown of the September 1 rollout, what changes by default, and a pre-migration checklist: https://yositeup.com/blog/google-ads-ai-max-auto-upgrade-september-2026

The Practical Bottom Line

The riskiest accounts here are not the ones actively managing AI Max already -- they are the ones where Automatically Created Assets or broad match got switched on during setup and forgotten. A ten-minute settings audit before September 1 is the difference between a planned transition and an unplanned one.

AI Max for Law Firms: What Personal Injury and Family Law Attorneys Need to Know Before DSA Retires

Alexander Todosuik — Sat, 08 Aug 2026 22:11:08 +0000

Legal advertising runs on some of the highest cost-per-click numbers in Google Ads -- personal injury and family law keywords routinely exceed $50-100 per click in competitive metro markets. Dynamic Search Ads have quietly absorbed a meaningful share of that spend for years, matching practice-area pages to search queries without a manual keyword list. With DSA retiring in February 2027, law firms running high-CPC campaigns have more to lose per mismatched click than almost any other vertical.

Why Law Firms Used DSA Differently Than Most Advertisers

A multi-practice firm's site typically has separate pages for each practice area and sometimes each office location: car accident attorney, divorce lawyer, DUI defense, workers' compensation, by city or county. DSA crawled these pages and matched them to long-tail query variations -- "rear-ended by uninsured driver lawyer," "contested custody attorney near me" -- that a manual keyword list would rarely anticipate in full.

AI Max for Search replaces that crawl-based matching with search themes: intent categories defined in advance rather than pages the system discovers on its own. For a firm with a large practice-area page structure, this is a bigger operational shift than the campaign-type rename it looks like.

The Cost of Getting This Wrong Is Higher Here

In most verticals, a mismatched click costs a few dollars. In legal advertising, a single wasted click on a $60 CPA campaign is real money, and mismatches compound fast across a page structure with a dozen practice areas.

Two failure modes show up repeatedly during DSA-to-AI-Max migrations for legal accounts:

Practice area bleed. Search themes defined too broadly let a family law campaign start matching criminal defense queries, or a personal injury campaign start matching workers' comp queries that should route to a different landing page and different intake process. Define themes narrowly enough that each one maps to a single practice area and a single intended landing page.

Missed jurisdiction signals. Firms operating across county or state lines often relied on DSA's page-crawl to implicitly handle jurisdiction matching (a page for "Cook County DUI attorney" naturally attracted Cook County-specific queries). Search themes need jurisdiction and location built in explicitly, or the AI will not infer it from page structure the way DSA did.

Negative Keywords Matter More for Regulated Practice Areas

Legal accounts already fight significant query pollution: "free legal advice," "how to file for divorce myself," "public defender," and job-seeker searches for paralegal or attorney positions. DSA's broad matching let some of this through. AI Max handles negatives more reliably, but the exclusion list has to be built before launch.

For regulated practice areas -- workers' compensation, immigration, certain injury categories -- getting negative keywords wrong is not just wasted spend. It can mean intake staff spending time on leads that were never going to convert because the underlying query signaled a DIY or non-qualifying case.

Full breakdown of negative keyword setup and brand exclusions in AI Max: https://yositeup.com/blog/ai-max-negative-keywords-brand-exclusions-2026

Migration Sequence for Multi-Practice Firms

Export DSA auto-target performance by practice area and by office location if the firm has multiple. Identify which auto-targets actually drive qualified intake calls, not just clicks.
Build one search theme cluster per practice area, with jurisdiction and intent embedded in the theme definition rather than left implicit.
Build the negative keyword list before launch, prioritizing terms tied to non-qualifying or DIY search intent for each practice area.
Run AI Max in parallel with DSA for a full billing cycle before reallocating budget away from DSA. Compare cost per qualified lead, not just cost per click, since click quality is what actually matters for a firm's intake pipeline.

Timing Considerations

Personal injury demand often spikes around holidays and summer travel periods; family law inquiries can spike in January. If a firm's highest-value season falls during a migration window, run the parallel-testing phase early enough that AI Max's 2-4 week learning period is already behind it before that season starts.

Complete DSA to AI Max migration timeline and pre-migration checklist: https://yositeup.com/blog/google-ads-dsa-ai-max-migration-february-2027

Budget Context

Legal marketing budgets are typically managed either in-house or through specialized agencies, and PPC management fees vary widely. Before adding AI Max migration work to an existing engagement, it is worth benchmarking what local SEO and PPC management should actually cost in 2026: https://yositeup.com/en-us/blog/local-seo-pricing-guide-2026

The Practical Bottom Line

DSA's crawl-based matching quietly handled practice-area and jurisdiction targeting that law firms never had to define explicitly. AI Max requires that definition work upfront, and with legal CPCs among the highest in Google Ads, the cost of a rushed or automatic migration in February 2027 is higher here than in almost any other vertical.

AI Max for Home Services: What HVAC, Plumbing, and Roofing Companies Need to Do Before DSA Retires

Alexander Todosuik — Sat, 08 Aug 2026 11:28:57 +0000

Local service businesses -- HVAC, plumbing, roofing, electrical -- have relied on Dynamic Search Ads more heavily than almost any other vertical. DSA's crawl-based targeting was uniquely suited to catching "near me" and emergency-intent queries that manual keyword lists never fully covered. With DSA retiring in February 2027, this vertical faces a harder migration than most advertisers realize.

Why Home Services Leaned So Hard on DSA

A plumbing company's website has dozens of service-area pages: "emergency plumber [city]," "water heater repair [neighborhood]," "drain cleaning [zip code]." Building manual keyword lists for every geographic and service combination is impractical at any real scale. DSA solved this by crawling those pages and matching queries automatically -- no one had to enumerate the combinations by hand.

AI Max for Search replaces crawl-based matching with search themes: intent categories you define rather than pages you point the system at. For home services, this means the targeting logic that worked passively for years now needs active definition before the account can perform the same way.

The Negative Keyword Problem Gets Worse Before It Gets Better

Home services accounts have always fought a specific kind of query pollution: DIY searches ("how to fix a leaking faucet"), job-seeker searches ("plumber jobs near me"), and manufacturer-support searches ("Rheem water heater troubleshooting"). DSA's broad crawl-based matching occasionally served ads against these near-miss queries, quietly wasting spend.

AI Max's negative keyword handling is more reliable than DSA's ever was -- but only if the exclusion list is built deliberately before launch. Account-level negatives for "DIY," "jobs," "careers," "troubleshooting," "manual," and "how to" catch most of the pollution before it costs a click.

Full breakdown of negative keywords and brand exclusions in AI Max: https://yositeup.com/blog/ai-max-negative-keywords-brand-exclusions-2026

Migration Sequence for Multi-Location Service Businesses

Export your DSA auto-target performance report, sorted by conversions per service-area group. Home services accounts commonly run 10 to 40 auto-targets across service pages; a handful usually drive most of the conversions.
Convert each high-performing auto-target into a search theme built around service plus intent, not just service plus location. "Emergency water heater repair" performs differently as a theme than a flat "water heater repair."
Build the negative keyword list before launch, not after the first bad week of spend on DIY and job-seeker traffic.
Run AI Max in parallel with DSA for a full billing cycle in each service area before cutting DSA spend. Coverage varies more by geography than aggregate account numbers suggest, and a citywide average can hide a service area that is quietly losing volume.

Timing Around Seasonal Demand

Home services businesses that depend on Q4 and winter demand -- HVAC heating emergencies, roof damage from winter storms, frozen pipe repairs -- should not be mid-migration during their peak season. The AI Max learning period runs 2 to 4 weeks after launch, and a service business cannot afford degraded matching during a cold snap.

Complete migration timeline and what to do before the February 2027 deadline: https://yositeup.com/blog/google-ads-dsa-ai-max-migration-february-2027

Budget Context for Smaller Local Operators

Many home services businesses run lean marketing budgets and outsource PPC management. Before adding AI Max migration work to an existing retainer, it is worth knowing what local SEO and PPC management should actually cost in 2026 -- and what red flags to watch for in pricing structures: https://yositeup.com/en-us/blog/local-seo-pricing-guide-2026

The Practical Bottom Line

DSA quietly did a lot of targeting work that home services businesses never had to think about. AI Max requires that thinking to happen upfront: search themes need explicit definition, negative keywords need deliberate exclusion, and auto-target performance needs auditing before the retirement date, not after it forces an automatic and unplanned migration.

How to Write SEO Content That Survives Google Core Updates in 2026

Alexander Todosuik — Sat, 08 Aug 2026 03:38:28 +0000

Most SEO content hit by Core Updates shares the same underlying problem: it was written to rank, not to inform. Google's 2026 updates have narrowed the gap between "optimized content" and "content that gets AI Overviews written about it." Here is what separates surviving content from what keeps dropping.

The Fundamental Shift Since 2024

Before 2024, a well-structured 2,000-word article with good keyword density and a few backlinks could hold a top-10 position on competitive queries. Core Updates through 2025-2026 have systematically removed this content from the top positions.

What replaced it: content with demonstrable firsthand experience, specific claims backed by data, and clear authorial accountability.

The pattern is not subtle in the data. Pages with a named author + credentials + specific examples consistently held or improved through 2026 Core Updates. Pages with "SEO Team" bylines, generic advice, and no original data consistently dropped.

For what the 2026 Core Update data specifically shows about which site types were affected: https://yositeup.com/blog/google-may-2026-core-update-analysis-who-was-hit

What E-E-A-T Actually Means for Practical Content Creation

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's framework, but applying it requires translating the framework into writing decisions:

Experience means your content reflects contact with the thing you are writing about. For SEO: you ran the campaigns, you analyzed the data, you observed the ranking changes. Not: "according to experts," "research suggests," "many SEOs believe."

Expertise means knowing something beyond what a reader could find in the first three search results. Original angles, deeper specificity, or synthesis of multiple data sources that the reader cannot easily replicate.

Authoritativeness is built at the domain level over time, but at the page level it shows up in: cited sources, cross-references to related analysis, external coverage of your content.

Trustworthiness at the content level: accurate claims, disclosed methodology, updated content with a clear date.

Content Types That AI Overviews Do Not Replace

Informational queries ("what is X") are now frequently answered by AI Overviews before the user reaches your page. This does not mean all informational content is useless -- it means the ROI calculation has changed.

Content that AI Overviews consistently fail to replace:

Specific methodology articles: "How we increased e-commerce conversion by 23% by restructuring the checkout page" -- the AI cannot reproduce your specific case
Comparative analysis with named tools: "We tested three keyword research tools on the same project for 30 days -- here are the actual results" -- specific enough that the AI must link out
Timely data with a clear observation window: "Our analysis of 10,000 queries in Google Search Console between March and June 2026 shows..." -- the AI cannot access your private data
Process documentation with failure cases: Guides that include what went wrong and how you fixed it, not just what worked

The Keyword Strategy Change

Writing for 2026 requires recognizing that high-traffic informational keywords are often not worth pursuing for traffic. The queries where AI Overviews appear most frequently are also the queries with the highest informational intent and the lowest purchase intent.

Better targeting: transactional queries, comparative queries, queries with a specific decision embedded ("which [X] for [specific situation]"), and queries where the searcher needs to trust a specific provider.

For what the 2026 data shows about which content types and queries are still generating organic clicks despite AI Overviews: https://yositeup.com/en-us/blog/what-really-impacts-seo-in-2026

Practical Content Audit Questions

For each piece of content on your site, ask:

Does this page contain anything that an AI could not synthesize from other sources? If no, it will lose traffic to AI Overviews regardless of ranking position.
Could the specific claims in this article be verified by someone else? If every claim is either generic or unverifiable, the content fails the E-E-A-T bar Google is applying.
When did you last update this with new data? Stale content with no update date is a trust signal failure.
Who wrote it, and is that person identifiably expert on this topic? Anonymous or team-bylined content is structurally weaker than named-author content.

Getting Content Cited in AI Overviews

If your target queries show AI Overviews, the goal shifts from ranking to citation. Content cited in AI Overviews still drives brand impressions and some direct clicks.

The framework for making content citable by AI search systems (GEO -- Generative Engine Optimization): https://yositeup.com/blog/geo-generative-engine-optimization-2026

The Short Version

Write articles you could not have written without doing the actual work. Use specific numbers, named tools, defined timeframes. Name the author and give them credentials. Update when data changes. Target queries where the reader needs to trust a specific source, not just consume information.

That is the content Google's 2026 updates consistently reward -- and it is also, not coincidentally, content that is harder to produce at scale.

AI Max for E-Commerce: Why Google Shopping Is Being Replaced in 2026

Alexander Todosuik — Sat, 08 Aug 2026 03:38:21 +0000

Google is replacing Performance Max Shopping campaigns with AI Max for Shopping. The migration is not optional. Understanding how the replacement works -- and what it changes -- is essential for e-commerce advertisers running any kind of product feed campaign.

What Is Being Replaced

Performance Max consolidated Smart Shopping, Standard Shopping, Display, Search, YouTube, and Gmail into a single campaign type controlled by Google's AI. AI Max for Shopping refines this model further: it uses your product feed, website content, and conversion history as primary signals, with reduced reliance on keyword targets.

The practical effect: your campaign setup shifts from "here are my keywords and bids" toward "here is my product catalog, here are my goals, optimize." Google's AI determines placements, match types, and creative combinations across the network.

The Core Difference: Feed Quality Becomes Dominant

Under Standard Shopping and early Performance Max, a mediocre product feed with competitive bids could still win auctions. AI Max for Shopping changes this weighting. Feed completeness -- titles, descriptions, custom labels, GTIN data, product types -- directly influences the AI's ability to match your products to relevant queries.

Advertisers with poor feed quality are now competing at a structural disadvantage, not just an optimization disadvantage.

What Changes in Campaign Structure

Several inputs that advertisers controlled manually under Performance Max are handled differently in AI Max for Shopping:

URL expansion: AI Max can serve ads to landing pages beyond those you explicitly specify, based on product relevance signals. This is enabled by default. Verify which URLs are being targeted in your placement report.

Asset generation: Headlines and descriptions are generated dynamically from your feed and landing page content. AI-generated assets cannot be fully disabled, but low-performing generated assets can be removed after they accumulate enough impression data.

Brand exclusions: In AI Max, brand exclusions work across the entire campaign rather than requiring separate brand vs. non-brand campaigns. The exclusion mechanism has changed from Performance Max, where exclusions were managed at the campaign level and sometimes leaked into Shopping inventory.

Merchant Center Feed Diagnostics Before Migration

Before migrating any Shopping or Performance Max campaigns to AI Max for Shopping, run a complete Merchant Center diagnostics review:

Disapproval rate by product category -- items with high disapproval rates will be excluded from AI Max targeting before you see the problem in campaign data
Missing attributes -- products without GTINs, product types, or custom labels are matched with lower confidence by the AI
Price accuracy -- products with price mismatches between feed and landing page are penalized in AI Max more severely than in standard Shopping

Why This Matters for Multiregional E-Commerce

Retailers targeting multiple countries face additional complexity. AI Max for Shopping uses separate optimization models per country feed. If you feed the same product catalog to Google in multiple languages, the language and locale signals in your feed titles and descriptions directly affect matching accuracy in each market.

English-language titles for products targeting Polish or Ukrainian markets perform significantly worse under AI Max than under standard Shopping, where keyword targeting could compensate for weak feed signals.

Conversion Value Rules

AI Max for Shopping respects conversion value rules -- adjustments that tell Google which conversions to weight more heavily. For e-commerce:

New customer acquisition rules (weight new customer conversions higher than repeat purchases)
Cart size thresholds (prioritize high-AOV transactions)
Product category margins (bid more aggressively for high-margin categories)

Conversion value rules were underutilized in Performance Max. In AI Max, they become the primary lever for directing the AI toward your actual business objectives rather than raw conversion volume.

The Timeline

Google has begun rolling out AI Max for Shopping to accounts where it determines Performance Max shopping campaigns exist. Full migration follows the AI Max for Search timeline -- mandatory by early 2027 for accounts that do not self-migrate.

For the full breakdown of what AI Max changes in Google Shopping and how it compares to Performance Max: https://yositeup.com/blog/google-ai-max-shopping-replacing-performance-max-2026

AI Max for Real Estate Agents: Google Ads Strategy in 2026

Alexander Todosuik — Sat, 08 Aug 2026 02:38:29 +0000

Real estate is one of the most competitive Google Ads verticals. Cost-per-click for buyer and seller intent queries runs $8-25 in most metro markets. AI Max changes how agents should structure campaigns, set budgets, and protect brand terms against competitor bidding.

How AI Max Differs From Standard Search for Real Estate

Traditional real estate Google Ads used tightly controlled keyword lists: "homes for sale [city]", "real estate agent near me", "[neighborhood] condos". AI Max expands beyond explicit keywords using page-level signals from your landing pages and historical conversion patterns.

For agents with strong organic signals — those ranking locally for neighborhood searches — AI Max builds on existing authority. Read what actually drives SEO rankings in 2026 before setting up AI Max to understand which content signals Google reads as authority signals.

The July 2026 ToS Update and Real Estate Disclosures

The July 2026 terms of service update (full breakdown) has specific implications for real estate:

AI-generated assets cannot include specific price claims ("homes from $300k") without current MLS data backing
Fair housing language requirements apply to AI-generated ad copy
Location targeting in automated assets must reflect licensed practice areas

For agents operating across multiple counties or states, review AI-generated assets weekly. The risk of a fair housing violation from an AI-generated headline is real and carries regulatory penalties beyond Google's policy enforcement.

Migrating IDX and Listing Pages to AI Max

Many agents ran Dynamic Search Ads targeting their IDX pages (property listings). The migration path to AI Max (DSA to AI Max guide):

Create a page feed of your active listing URLs — AI Max uses these for URL expansion
Set listing pages as high-value URL groups
Use sold listings pages as negative URL targets (they still get crawled but have zero conversion value)
Separate buyer intent pages (search/listings) from seller intent pages (valuation, listing presentation)

Agents who run separate buyer and seller campaigns should maintain that separation in AI Max — conversion values differ significantly.

Negative Keywords and Brand Protection

Real estate brand protection in AI Max is non-trivial. Competitors bid on agent names, team names, and brokerage names. The new negative keyword system (AI Max negative keywords guide) covers:

Agent name + competitor brokerage combinations
"reviews" queries (competitors show ads on your name + reviews)
Relocation queries outside your license area

Build a negative keyword list from your search term report before activating AI Max. Queries you were already blocking under standard Search must be explicitly added — they don't carry over automatically.

Reporting Gap: June 2026

The June 2026 reporting data deletion (what was deleted and why) removed performance history during spring selling season — peak period for most residential agents. Rebuilding seasonal baselines requires:

CRM data: closed transactions by month, lead source attribution
Internal call logs: call volume by week (most CRMs track this)
Year-over-year comparisons from 2024-2025 to estimate 2026 norms

Without this reconstruction, AI Max budget optimization will be miscalibrated for the spring 2027 peak.

GEO and the AI-Driven Search Shift

Real estate is heavily affected by AI-generated answers in search. Buyers searching "best neighborhoods in [city]" or "how to buy a home in [state]" increasingly see AI summaries rather than blue links. Read the GEO framework for 2026 to understand how to structure content for AI answer inclusion.

Agents who appear in AI summaries see lower paid search CPCs because branded awareness reduces competitive pressure. It's a long-term play but structurally important for real estate markets where organic visibility directly affects conversion rates.

Summary

AI Max for real estate works best when paired with strong organic signals, a cleaned negative keyword list, and separate conversion value assignments for buyer vs. seller actions. Start with one campaign type, monitor asset performance weekly, and expand once you have clean conversion data to feed the optimization algorithm.

The 7-Eleven Google Update: What Happened to Rankings on July 23-24, 2026

Alexander Todosuik — Thu, 06 Aug 2026 16:41:28 +0000

On July 23-24, 2026, significant ranking volatility appeared across tracking tools. Google's Search Status Dashboard showed no update. The SEO community named it the "7-Eleven Update" informally, after the date of the peak.

Here is what happened, what the data shows, and why it may matter for your site.

What the Tracking Tools Showed

Semrush Sensor reached 8.8/10 on July 24 (high volatility, where 10 is maximum). Mozcast showed 97 degrees Fahrenheit -- well above the typical 70-degree baseline. SERPmetrics and Accuranker both reported significant flux across multiple industry verticals.

The volatility was not uniform:

YMYL categories (health, finance, legal) showed stronger signals
Local search results were notably unstable
Mobile rankings moved more than desktop in several tracked verticals

This pattern -- high YMYL volatility, Google silence, tools in agreement -- resembles the early signals seen before confirmed Core Updates. But the timeline was two days, which is shorter than typical Core Updates (which usually run 1-2 weeks).

Why Google Did Not Confirm It

Google's policy is to confirm "broad core updates" via the Search Status Dashboard and Google Search Central blog. They do not confirm every algorithm adjustment.

Google makes hundreds of ranking changes per year. Only those that qualify as "broad core updates" under their internal definition receive official announcements. Smaller algorithm adjustments, infrastructure updates, and data refreshes can cause significant ranking movement without any public acknowledgment.

The 7-Eleven volatility may have been one of the following:

A data refresh (reprocessing of existing signals, not new algorithm weights)
A localized infrastructure update
The tail end of an earlier confirmed update's processing
A smaller, unnamed algorithm adjustment

Without access to Google's internal system logs, there is no definitive answer.

Who Was Affected

Based on community reports from r/SEO, Search Engine Roundtable, and direct data shared by agencies:

Sites that reported ranking drops:

News and current events sites
Aggregator sites (comparison, directory, affiliate-heavy)
Sites with thin content that had been holding rankings from pre-2025

Sites that reported ranking gains:

Original research and data-driven content
Sites with verified author information and editorial standards
Healthcare and financial sites with professional credentials displayed

This pattern is consistent with Core Update impact signals, where E-E-A-T is a factor.

What to Do If Your Traffic Dropped July 23-30

First, determine whether your drop is real or a measurement artifact. Check:

Google Search Console Performance report: filter for July 23-31. Compare clicks and impressions vs. the prior two weeks.
If you see a significant impression drop (not just clicks), the issue is ranking-related, not CTR or AI Overview impact.
If impressions are similar but clicks dropped, AI Overviews may be capturing more queries.

For a systematic approach to diagnosing post-update ranking drops: https://yositeup.com/blog/google-may-2026-core-update-analysis-who-was-hit

Is This a Preview of the Next Core Update?

Google has historically run Core Updates in March, May, August, and November. As of early August 2026, no August Core Update has been confirmed. The 7-Eleven volatility could be:

A standalone adjustment unrelated to a forthcoming Core Update
An early data processing pass that precedes a Core Update announcement
Unrelated to any planned update

If you experienced significant ranking movement in late July, the prudent response is to audit your affected pages now rather than wait for a confirmed update announcement.

The Practical Response

For sites that lost rankings:

Identify affected pages using GSC Performance data (July 23 vs. July 9-22 comparison)
Check whether lost rankings are on informational queries (AIO risk) or transactional queries (ranking signal issue)
Review the page's E-E-A-T signals compared to what replaced it in search results

For sites that held or gained:

Document what content types and pages performed well
Use this as a baseline for content strategy going forward

The July volatility, confirmed update or not, added data to what types of content Google is currently rewarding. That data is more useful than the question of whether it had an official name.

For the broader context on what Google's algorithm changes in 2026 have consistently rewarded: https://yositeup.com/en-us/blog/what-really-impacts-seo-in-2026

Smart Bidding August 17 Deadline: What Google Ads Advertisers Must Do Before Budget-Limited Campaigns Change

Alexander Todosuik — Thu, 06 Aug 2026 16:37:20 +0000

Google is changing how Smart Bidding works in budget-limited campaigns on August 17, 2026. If you run Target CPA or Target ROAS campaigns where budget runs out before the day ends, your performance will change significantly -- and not in the way most advertisers expect.

What Is Actually Changing

Currently, Smart Bidding in budget-limited campaigns will often bid below your target CPA to spend your full budget and maximize conversion volume. Example: if your Target CPA is $10 but the algorithm can get conversions at $5, it will do so to capture more volume within your budget.

After August 17, this behavior stops. Smart Bidding will strictly respect your targets even in budget-limited campaigns. If your Target CPA is $10, the algorithm will bid to hit $10 -- which typically means fewer conversions from the same budget.

Google's rationale: advertisers set targets for a reason, and the tool should respect them. In practice, this reverses an optimization shortcut that many accounts have been relying on unknowingly.

Who Is Affected

You are affected if ALL of these apply to your campaigns:

You use Target CPA, Target ROAS, or Maximize Conversions with a target
Your campaign budget is exhausted before the end of the day (budget-limited status)
Your actual CPA is currently below your target CPA (or actual ROAS is above target)

If your campaigns are not budget-limited, this change does not apply. If your actual performance already matches your targets, the impact will be minimal.

How to Check Your Exposure

In Google Ads, go to Campaigns and add the "Budget" column. Filter for campaigns showing "Limited by budget." For each of these campaigns, check:

Column: Avg. CPA vs. your Target CPA
Column: Conv. value/cost vs. your Target ROAS

A significant gap between actual and target indicates you are relying on the current behavior. After August 17, performance will shift toward your target settings.

For full context on recent Google Ads policy and automation changes: https://yositeup.com/blog/google-ads-tos-july-2026-ai-automation-what-changed

Three Options Before August 17

Option 1: Adjust your targets downward
If your actual CPA is $5 but your target is $10, lower the target to $5 before the deadline. This tells the algorithm to continue its current behavior under the new rules. Use Google's Bid Target Adjustment Tool (available in Recommendations since July 6) to find the right value.

Option 2: Increase your budget
If you want to keep your current targets AND your current volume, you need more budget. If the algorithm was getting you $5 CPAs with a $100/day budget (20 conversions), it may now only get you 10 conversions at the $10 target with the same budget.

Option 3: Do nothing and accept the change
If your Target CPA is set at the level you actually want to pay (not an arbitrary number you never updated), the change may align your costs with your real objectives. Review your target settings critically before dismissing this option.

For the specific impact on campaigns using AI Max bidding strategies alongside traditional Smart Bidding: https://yositeup.com/blog/google-ads-smart-bidding-august-17-deadline-2026

The Bid Target Adjustment Tool

Google released the Bid Target Adjustment Tool in July 2026 specifically to help advertisers prepare. Access it via:

Recommendations > Bid efficiency > Adjust bid targets for budget-limited campaigns

The tool shows the recommended target adjustment for each affected campaign and estimates the performance impact of accepting or rejecting the change. Running this analysis before August 17 gives you the data to make an informed decision rather than reacting to a surprise drop after the fact.

Why August 17 Matters for Campaign Planning

The deadline falls during a high-spend period for many advertisers (back-to-school, Q3 planning). A sudden CPA increase in mid-August can distort monthly and quarterly performance data if you do not prepare your reporting baselines now.

Before August 17:

Document your current actual CPA/ROAS by campaign
Set your preferred targets based on that data
Brief your clients or stakeholders on the expected change

For context on how negative keyword controls interact with the new Smart Bidding behavior in AI Max campaigns: https://yositeup.com/blog/ai-max-negative-keywords-brand-exclusions-2026

The Bigger Pattern

This change is part of Google's broader push to make advertisers explicitly own their target settings rather than letting the algorithm run loose. Earlier in 2026, Google updated its Ads ToS to clarify AI automation responsibilities. The August 17 change is another step in the same direction: Google is moving from "we optimize for you" to "we do exactly what you tell us to do."

That requires advertisers to actually understand what they are telling the system to do.

How to Audit Your Google Rankings After a Core Update in 2026

Alexander Todosuik — Thu, 06 Aug 2026 16:27:44 +0000

Google Core Updates redistribute rankings across the web -- sometimes massively. If your organic traffic dropped in the last 90 days, this audit process helps you understand why and what to do about it.

Step 1: Confirm It Was a Core Update (Not Something Else)

Traffic drops have multiple causes: seasonal demand shifts, crawl budget problems, manual penalties, algorithm changes, or Core Update impact. Before attributing any drop to a Core Update, rule out:

Google Search Console manual actions (Search Console > Security & Manual Actions)
Significant crawl errors in the Coverage report
Server downtime during the suspected impact window
Major site changes (redesign, URL restructuring, content removal) that coincided with the drop

If none of these apply and the drop aligns with a confirmed Core Update date, proceed with the analysis.

For a detailed breakdown of which site types were affected by the May 2026 Core Update and what signals drove recoveries: https://yositeup.com/blog/google-may-2026-core-update-analysis-who-was-hit

Step 2: Identify Affected Pages in GSC

In Google Search Console > Performance > Search Results:

Set date range to cover 30 days before and 30 days after the Core Update date
Click "Compare" and select the two periods
Sort by "Clicks difference" (ascending) to find your biggest losers
Export to spreadsheet

Pages with the largest click and impression drops are your primary focus for recovery analysis.

Step 3: Categorize the Drops

Group affected pages into categories:

Informational content (what is X, how does X work): Most vulnerable to AI Overviews. Google's AI now answers many of these directly -- the page may still rank but get zero clicks.
Comparison and list content (best X for Y, top tools for Z): Partially captured by AI. May need restructuring toward deeper analysis.
Action-oriented guides (how to set up X, migration from X to Y): More AIO-resistant because users need step-by-step detail. Focus recovery effort here.

For what signals actually drive rankings vs. what has lost effectiveness: https://yositeup.com/en-us/blog/what-really-impacts-seo-in-2026

Step 4: Evaluate E-E-A-T Signals on Affected Pages

Core Updates consistently reward content with demonstrable Experience, Expertise, Authoritativeness, and Trust. For each significantly affected page, audit:

Is there a clearly identified author with relevant expertise?
Does the content cite specific sources, data, or firsthand experience?
Is the page on a domain with topical authority in this subject area?
Does the content go beyond what can be found in the top 10 results -- or does it synthesize existing information?

Pages that dropped are almost always ones where competitors have stronger E-E-A-T signals on the same query.

Step 5: Check What Replaced You

For your top losing pages: search the target query and analyze what now ranks in your former position. Are the ranking pages:

More comprehensive (longer, more detailed, more specific)?
From higher-authority domains?
Better optimized for E-E-A-T (author bio, citations, original data)?
Structured differently (FAQ, table, numbered steps)?

The gaps you identify become your content improvement priorities.

Step 6: GEO Signals for AI Overview Optimization

If your pages still rank but receive no clicks, AI Overviews may be capturing the query directly. This is a GEO (Generative Engine Optimization) problem, not a traditional ranking problem.

For a complete framework on getting content cited in AI Overviews, ChatGPT, and Perplexity: https://yositeup.com/blog/geo-generative-engine-optimization-2026

Recovery Timeline

Core Update recovery is not immediate. Google's guidance: improvements made after a Core Update may not be recognized until the next Core Update. Typical recovery windows:

Technical fixes (crawlability, indexing): 2-4 weeks
Content quality improvements: 2-6 months
E-E-A-T signal building: 3-9 months

Prioritize action-oriented content over informational content for faster recovery -- AI Overviews capture the latter regardless of your ranking position.

The AI Brand Recommendation Gap: Data on Why Some Brands Get Recommended and Others Do Not

Alexander Todosuik — Sun, 02 Aug 2026 19:32:38 +0000

When users ask AI engines which brand to choose for a product or service, the distribution of recommendations is highly unequal. Research from 2026 shows the gap is larger than most marketers expect.

The Data

geoSurge tested brand recommendation queries across ChatGPT, Gemini, Perplexity, and Google AI Overviews in 2026:

63% of queries: same 5-6 brands recommended across all four platforms
Established brands appear 3.2x more often than alternatives
The gap is consistent across product/service categories tested

Why Quality Does Not Determine Recommendations

AI systems do not evaluate product quality — they reflect training data patterns. A brand with a better product but lower representation in authoritative sources will be recommended less often than a well-known brand with broader media presence.

This is not a content quality problem. It is a training data representation problem.

Measuring Your Position

Query 20-30 category-relevant prompts across ChatGPT and Perplexity. Count how often your brand appears versus the top-cited competitors. If you appear in fewer than 20% of relevant category queries, you are outside the recommended group.

How to Enter the Recommended Group

The fastest path: a single authoritative media feature generates significantly more AI training signal than dozens of owned content pieces. Target publications that AI systems consistently reference — industry verticals, major business media, established review platforms.

Full 2026 AI brand favoritism study: data, analysis, and visibility strategy