The Houston AI Visibility Index — Mid-Year Update

When we published the 2026 Houston AI Visibility Index on May 30, the core claim was still, to a lot of operators, a forecast: that the AI answer had quietly become the front door to a local business, and that most Houston companies were not inside it. The metro-wide median score was 31 out of 100.

A month later, the national evidence has arrived — and it does two things at once. It makes the thesis present-tense, and it independently corroborates what the Index measured in Houston.

Five things the data just settled

1. AI local discovery is no longer niche — it is the #3 channel. The share of consumers using AI to find a local business jumped from 6% to 45% in a single year, past Yelp and TripAdvisor, behind only Google and Facebook. Eighty-eight percent still fact-check the AI's sources — which means being *cited and accurate* is the whole contest (BrightLocal).

2. It is winner-take-most — confirmed outside Houston. In a controlled multi-engine experiment, ChatGPT surfaced just 1.2% of a category's local businesses, versus 11% for Gemini, 7.4% for Perplexity, and 35.9% for Google's local 3-pack (PolyGrowth). That is the exact structure the Index found in Finding 2: a handful of providers per category capture nearly every mention.

3. The engines disagree on trust — in the same order we measured. An 8-engine audit of 1,600 queries put citation-error rates between 37% (Perplexity, most accurate) and 94% (Grok-3, least) (Columbia Journalism Review / Tow Center) — mirroring the citation and fabrication spread the Index reported across the five assistants.

4. The open web is contracting underneath all of it. When an AI summary appears, organic click-through roughly halves (15% → 8%) and only 1% of users click a link inside the summary (Pew Research Center). Google's AI Mode crossed 1 billion monthly users in about a year (Google).

5. Most "AI SEO" advice is noise. Across a 300,000-domain analysis, the consistent drivers of LLM citations were earned authority, quality backlinks, branded mentions, and complete Google Business Profile data — while `llms.txt` showed no measurable effect, and schema's direct citation lift is genuinely contested (Search Engine Journal / SE Ranking).

What we are changing — and what we are not

We are updating our posture where the evidence asks us to. Volume I found schema.org completeness the strongest *available* predictor in our frame (r = 0.71); the broader 2026 evidence is more mixed than that one number, so we now frame schema as eligibility hygiene and put the durable weight on authority, reviews, Google Business Profile completeness, and machine-legible identity working together. We are not changing the Index's measured numbers — Findings 1–5 stand as measured. A Volume II field re-run on the same five-model instrument is built and underway.

The headline has not moved. If a Houston resident asks an assistant who to call for a root canal, a flooded kitchen, or a car-accident claim, the answer names two or three businesses and stops. The only question that matters for an operator is whether you are one of them.

Be the answer when AI is asked. Or be the business that wasn't.

Read the full study: The 2026 Houston AI Visibility Index →

Sources

• Search Engine Land, "ChatGPT now has 900 million weekly active users" (2026-02-27) — https://searchengineland.com/chatgpt-900-million-weekly-active-users-470492
• TechCrunch / Sensor Tower, "ChatGPT's market share slips below 50% for the first time" (2026-06-16) — https://techcrunch.com/2026/06/16/chatgpts-market-share-slips-below-50-for-first-time/
• Momentic / Similarweb, "Top generative-AI chatbots by market share" (2026-06-01) — https://momenticmarketing.com/blog/top-ai-chatbots
• Google, "Search at I/O 2026: AI Mode and more" (2026-05-19) — https://blog.google/products-and-platforms/products/search/search-io-2026/
• Pew Research Center, "Google users are less likely to click links when an AI summary appears" (2025-07-22) — https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/
• Columbia Journalism Review / Tow Center, "We compared eight AI search engines. They're all bad at citing news." (2025-03-06) — https://www.cjr.org/tow_center/we-compared-eight-ai-search-engines-theyre-all-bad-at-citing-news.php
• Profound, "AI platform citation patterns" (2025-08-01) — https://www.tryprofound.com/blog/ai-platform-citation-patterns
• Search Engine Journal / SE Ranking, "llms.txt shows no clear effect on AI citations (300k domains)" (2025-11-20) — https://www.searchenginejournal.com/llms-txt-shows-no-clear-effect-on-ai-citations-based-on-300k-domains/561542/
• Aggarwal et al. (KDD 2024), "GEO: Generative Engine Optimization" (2024-08-01) — https://arxiv.org/abs/2311.09735
• BrightLocal, "Local Consumer Review Survey 2026 — AI & trust" (2026-03-10) — https://www.brightlocal.com/research/lcrs-ai-trust/
• PolyGrowth, "How AI recommends local businesses" (2026-04-01) — https://polygrowth.io/local-business-ai-recommendations-study/