Texas firms do the work. The first online impression often belongs to someone else.
Across 20 unbranded Google searches for accounting services in Texas, local or Texas-only firms held 59 of 200 first-page organic positions. Everyone else held 141.
Directories and marketplaces alone held 60 positions, one more than all local or Texas-only firms combined. Yelp appeared in 16 of the 20 searches. No individual local or Texas-only accounting firm appeared in more than four.
A separate AI analysis showed how heavily the recorded picture of a named firm leaned on third-party sources. Across 1,701 retained firm-specific records covering 567 firms, directories, review sites and marketplaces accounted for 2,792 recorded source mentions. Firm-owned websites accounted for 311.
That is almost nine times as many recorded source mentions, 8.98 to one before rounding.
The AI analysis began after each firm was named and did not test which firm an AI service would recommend.
The Google and AI analyses measured different questions and were not combined.
The 200 Google positions broke down this way:
Put plainly, local or Texas-only firms held about three of every ten positions we measured. Everyone else held about seven.
Yelp appeared in 80% of the accepted searches. The strongest local or Texas-only firm appeared in 20%.
The review did not measure search volume, calls, leads or buyer decisions. It measured who occupied a dated basket of first-page organic results. Advertisements, maps and the local pack were excluded.
BrightLocal reported that 45% of U.S. consumers had used AI tools for local-business recommendations during the previous year, up from 6%. Most of the AI users surveyed checked sources, reviews or real-world evidence before acting.
Search and directories have shaped local-business discovery for years. AI adds another layer that can assemble an introduction from available digital evidence.
The Associated Press reported that Yelp introduced an AI assistant for local recommendations and licenses some data to OpenAI. That does not prove that Yelp supplied or caused any specific record in our study. It shows how review and directory platforms are becoming part of the infrastructure around AI-assisted discovery.
Eleven of the 1,701 AI records listed no source. Among the remaining 1,690 sourced records, directories, review sites and marketplaces appeared in 95.4%. Firm-owned-site labels appeared in 19.6%. Those categories can overlap within the same record.
By source-mention volume, directory, review-site and marketplace labels accounted for 2,792 of 5,713 recorded mentions. Firm-owned websites accounted for 311.
These figures do not prove that a platform wrote, controlled or verified the underlying information. Some records named a source without storing the firm-specific source-location URL needed to check it. The numbers show what source names the workflow recorded, not who deserves authorship.
They still raise a hard question: if a firm's own evidence is difficult to find, thin or inconsistent, whose version of the business gets there first?
Texas accounting firms know their clients, communities and specialties. Expertise does not automatically become visible, structured and verifiable evidence online.
Before a prospective customer contacts a firm, the first introduction can be shaped by a directory profile, a review platform, a national brand, a search result or an AI-generated summary. A local firm can know exactly why it is different and still arrive second to somebody else's description.
That is Markster's interpretation of the measured composition. The study did not observe lost customers and does not prove that weak firm-owned evidence caused a Google position, an AI record or a buyer decision.
Markster's automated research system produced one retained firm-specific record under each of three AI service labels: OpenAI, Gemini and Perplexity. This was a structured analysis workflow, not a person manually entering firm names into three consumer chat products.
For 513 of the 567 firms, the three records contained a mix of positive and negative source-support flags. For 352 firms, at least two of the three records received the negative flag. Across all 1,701 records, 973 received it.
The research service did not expose the exact model and version configuration behind each label, so these counts are not a benchmark of current consumer products. They document what the workflow recorded under defined conditions.
The 352-firm majority is supporting evidence, not the headline. Every OpenAI-labeled record received the negative flag, compared with 75 Gemini-labeled records and 331 Perplexity-labeled records.
The study keeps two layers separate.
The first is the source-support flag recorded in each AI analysis record. It indicates either reliable firm-specific support or no reliable firm-specific information under the workflow.
The second is Markster's independent verification status. It records whether identifiable evidence was independently supported, partially supported, unsupported, conflicting or not independently checkable.
A record can indicate source support while independent verification remains partial. A named source without a checkable firm-specific URL is not the same as a verified citation.
The private report shows both layers instead of flattening them into one score.
Markster developed, collected and validated the wider research program from June 30 through Aug. 10, 2026. That is 42 calendar days, or six weeks. The primary Google captures and AI records reported here were collected Aug. 3.
The clean public denominators are 567 firms, 1,701 retained AI records, 20 accepted Google searches and 200 first-page organic positions.
The complete study methodology defines the wider collection, exclusions and limitations.
Do not try to manufacture a flattering AI answer. Make the real evidence easier to trace.
The goal is not to game one answer. It is to make the firm's true, supportable facts easier for search engines, AI systems and people to trace.
Firms included in the study can request a Private Search and AI Representation Report.
The report shows what Google surfaced, what the AI analysis recorded, which third-party and firm-owned source labels appeared, what Markster could independently verify, and which evidence the firm should correct or strengthen first.
It is a dated evidence review, not a public ranking or a judgment about the firm's quality. No call or purchase is required.
Read the complete study and request your firm's private report: https://markster.ai/blog/what-ai-knows-about-texas-accountants