Franchise Opportunities: AI Market Discovery Index
Tracking how AI platforms recommend franchise opportunities. This public AI Market Discovery Index is updated monthly since July 2026.

On this page
- 01Benchmark Summary
- 02Current Benchmark at a Glance
- 03Research Scope and Qualification
- 04Current Brand Standings
- 05How to Read the Standings
- 06Recommendation Coverage Movement
- 07Category Leader: Franchise Direct
- 08Largest Increase: IFA (franchise.org)
- 09Recommendation Placement Snapshot
- 10Buyer-Intent Distribution
- 11Historical Measurement Record
- 12Evidence and Source Layer
Benchmark Summary
Franchise Direct leads the category in September 2026 with valid recommendation coverage of 13.0%, followed by Franchise Gator at 5.3% and Entrepreneur Franchise 500 at 4.6%. Franchise Direct's lead over the second-place brand stands at 7.7 points, narrower than the 10.4-point gap recorded in July 2026.
No brand moved beyond normal month-to-month variation this month. Franchise Direct recorded the largest category movement, declining from 17.7% in July 2026 to 13.0% in September 2026, a drop of 4.7 points that stayed within normal variation. IFA (franchise.org) recorded the largest increase, rising from 2.4% in July 2026 to 3.0% in September 2026. Franchise Direct has declined in each of the two months since July 2026, though every tracked brand held steady within normal variation for the full series.
The benchmark began with 613 prompt-surface observations in July 2026 and 564 in September 2026, producing 423 and 431 qualified observations respectively after qualification.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Sep 2026
- Franchise Direct13.0%
- Franchise Gator5.3%
- Entrepreneur Franchise 5004.6%
- FranNet3.9%
- America's Best Franchises3.0%
- IFA (franchise.org)3.0%
- FranchiseOpportunities.com1.6%
- Franchise Brokers Association0.9%
- BeTheBoss0.2%
- FranchiseHelp0.0%
Current Benchmark at a Glance
Measure | July 2026 | September 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 423 | 431 | Up 8 |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 26.5% | 27.6% | Up 1.1 points |
Valid recommendation shortlist share | 26.2% | 17.2% | Down 9.0 points |
Leader by valid recommendation coverage | Franchise Direct | Franchise Direct | No change |
Qualified surface breadth counts the canonical AI surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six families were present in both months. August 2026 sat between the baseline and current months, with recommendation-shaped answer share at 30.0% and valid recommendation shortlist share at 19.4%.
For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Franchise Opportunities
Research Scope and Qualification
The public benchmark is narrower than the raw collection universe by design.
Research stage | July 2026 | September 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 613 | 564 | Total prompts collected |
Unique questions | 539 | 518 | Distinct questions asked |
Brand / competitor mentions | 613 | 564 | Prompts mentioning a brand |
Relevant observations | 574 | 519 | On-topic responses |
Irrelevant observations | 39 | 45 | Off-topic responses |
Qualified benchmark observations | 423 | 431 | Public denominator |
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Brand-level percentages use the qualified observations as the public denominator, not the raw collection. See the AI Market Discovery Methodology.
Current Brand Standings
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
Franchise Direct | 57.8% | 13.0% | 6.7% | 3.7% | 0.4 |
Franchise Gator | 38.5% | 5.3% | 2.8% | 0.7% | 0.3 |
Entrepreneur Franchise 500 | 27.6% | 4.6% | 2.1% | 1.4% | 0.4 |
FranNet | 8.1% | 3.9% | 2.8% | 2.3% | 0.6 |
America's Best Franchises | 16.0% | 3.0% | 1.6% | 0.5% | 0.3 |
IFA (franchise.org) | 7.7% | 3.0% | 1.4% | 0.2% | 0.6 |
FranchiseOpportunities.com | 11.4% | 1.6% | 1.4% | 0.2% | 0.2 |
Franchise Brokers Association | 3.7% | 0.9% | 0.2% | 0.0% | 0.3 |
BeTheBoss | 0.2% | 0.2% | 0.2% | 0.2% | 1.0 |
FranchiseHelp | 7.4% | 0.0% | 0.0% | 0.0% | 0.0 |
How to Read the Standings
- Presence rate: the share of qualified observations where the brand is mentioned at all.
- Valid recommendation coverage: the share of qualified observations where the brand appears in a recommendation shortlist the model actually provides.
- Top-three rate: the share of qualified observations where the brand appears in the first three recommended positions.
- Rank-one rate: the share of qualified observations where the brand is the first and only first recommendation.
- Net sentiment: the balance of positive minus negative mentions over all mentions.
For formulas and denominator rules, see AI Market Discovery Metric Definitions.
Recommendation Coverage Movement
Brand | July 2026 | September 2026 | Movement since baseline |
|---|---|---|---|
America's Best Franchises | 2.6% | 3.0% | Up 0.4 points |
BeTheBoss | 0.0% | 0.2% | Up 0.2 points |
Entrepreneur Franchise 500 | 5.2% | 4.6% | Down 0.6 points |
Franchise Brokers Association | 1.2% | 0.9% | Down 0.3 points |
Franchise Direct | 17.7% | 13.0% | Down 4.7 points |
Franchise Gator | 7.3% | 5.3% | Down 2.0 points |
FranchiseHelp | 0.5% | 0.0% | Down 0.5 points |
FranchiseOpportunities.com | 2.8% | 1.6% | Down 1.2 points |
FranNet | 4.7% | 3.9% | Down 0.8 points |
IFA (franchise.org) | 2.4% | 3.0% | Up 0.6 points |
Looking at the immediate prior month, Entrepreneur Franchise 500 rose from 3.5% in August 2026 to 4.6% in September 2026, and Franchise Gator rose from 4.0% to 5.3% over the same period. IFA (franchise.org), FranNet, and Franchise Brokers Association also moved up from August to September, while Franchise Direct, FranchiseOpportunities.com, and America's Best Franchises moved down. BeTheBoss and FranchiseHelp held flat.
Category Leader: Franchise Direct
Franchise Direct remained the category leader with valid recommendation coverage of 13.0% in September 2026, down from 17.7% in July 2026 and 14.5% in August 2026, a decline of two consecutive months that stayed within normal month-to-month variation. Its lead over the next brand narrowed from 10.4 points in July 2026 to 7.7 points in September 2026. The brand's raw mention presence rate fell from 66.0% in July 2026 to 57.8% in September 2026, a drop of 8.2 points. Top-three placement held steady, rising slightly from 6.4% to 6.7% across the same period, while rank-one placement fell from 5.2% to 3.7%.
Want the full Authority Index
The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
Largest Increase: IFA (franchise.org)
IFA (franchise.org) rose from 2.4% in July 2026 to 3.0% in September 2026, its strongest showing in the series, with an increase of 1.8 points from August 2026 to September 2026. This is not yet a trend, but the brand's coverage has more than doubled from its August 2026 low of 1.2%.
Recommendation Placement Snapshot
Coverage alone does not show how prominently a brand is recommended. Franchise Direct leads on both top-three and rank-one placement among the leading brands in September 2026.
Brand | September 2026 top-three rate | September 2026 rank-one rate | July 2026 top-three rate | July 2026 rank-one rate |
|---|---|---|---|---|
Franchise Direct | 6.7% | 3.7% | 6.4% | 5.2% |
FranNet | 2.8% | 2.3% | 1.9% | 0.5% |
Franchise Gator | 2.8% | 0.7% | 1.4% | 0.2% |
Close coverage can still hide very different first-position rates. Franchise Gator and FranNet ended September 2026 with the same top-three rate at 2.8%, but FranNet converted far more of those appearances into the first position, at 2.3% versus Franchise Gator's 0.7%. FranNet's rank-one rate rose from 0.5% in July 2026 to 2.3% in September 2026.
Buyer-Intent Distribution
All qualified observations in both months fell into the Brand Recommendation class, which covers discovery and consideration queries.
Buyer-intent class | July 2026 | September 2026 |
|---|---|---|
Brand Recommendation | 423 | 431 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 423 | 431 |
The current public series measures Brand Recommendation discovery only and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.
Historical Measurement Record
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
July 2026 | 423 | Franchise Direct | 17.7% | - |
August 2026 | 427 | Franchise Direct | 14.5% | Franchise Gator, Down 3.3 points |
September 2026 | 431 | Franchise Direct | 13.0% | Franchise Direct, Down 4.7 points |
Evidence and Source Layer
The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.
Scope Boundaries
This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private and sponsored channels. A metric movement alone does not establish causality.
About This Benchmark
The LLM Authority Index AI Market Discovery Index is an evergreen, neutral industry benchmark that tracks how often brands appear in AI-generated answers and recommendation shortlists across the leading AI and search surfaces.
- AI Market Discovery Methodology
- AI Market Discovery Metric Definitions
- AI Market Discovery Research Standards
- Modeled AI Authority Value
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The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.
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The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
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