Data study · The open-source tooling around AI search

Developers Started 322 GEO, AEO and AI SEO Projects a Month on GitHub in 2026, Up From 12 a Month in 2024

KGWritten by Kriszta GrenyoPublished October 20264 min read

New open-source projects aimed at AI search visibility went from 12.4 a month in 2024 to 322.0 a month in the first seven months of 2026. Yet 94.4% of them have never received a recorded star.

Analysis of 3,648 original GitHub repositories first seen Jan 2024 to Oct 2026 · GH Archive via BigQuery, October 2026

Key findings

  1. 1

    New GitHub repos aimed at AI search optimization averaged 12.4 a month in 2024, 68.3 a month in 2025 and 322.0 a month from January to July 2026.

  2. 2

    June 2026 was the peak month, with 451 new repos.

  3. 3

    3,443 of the 3,648 repos (94.4%) have no recorded star. Only 27 (0.7%) reached 10 stars or more.

  4. 4

    The vocabulary is shifting: GEO terms appeared in 2.7% of these repo names in 2024, 8.4% in 2025 and 31.0% in 2026.

  5. 5

    Audits, checkers and scores are the most common 2026 build, at 608 of 2,679 repos (22.7%).

  6. 6

    Only 166 repos (4.6%) saw code pushes in three or more separate months.

Summary

Picture a marketing manager at a regional law firm who gets three cold emails in one week, each offering a free AI visibility score. Many of those scores come from small scripts that anyone can build in an afternoon. GitHub shows how fast that kind of tooling is multiplying.

Generative engine optimization (GEO), answer engine optimization (AEO) and AI SEO all describe the same goal: getting a business named and cited in answers from ChatGPT, Gemini, Perplexity and Google's AI features. We counted public GitHub projects that use those terms in their names.

In 2024 developers started about 12 such projects a month. In the first seven months of 2026 they started 322 a month. Almost none of them show signs of outside interest: 94.4% never earned a recorded star.

What we measured

We used GH Archive, the public log of GitHub events, in Google BigQuery. We kept repositories whose names contain GEO, AEO, AI visibility or AI/LLM SEO phrasing, with tight patterns so that geography tools and student IDs were excluded. A repo's first recorded event stands in for its creation date. We removed probable forks: repos with no forks and at most two stars whose short name matches an earlier repo that had been forked.

We counted new repos per month, stars (WatchEvents), forks and months with code pushes. We grouped 2026 repos by the job their name describes. Per study rules we report counts only and name no projects.

New AI search optimization repos grew more than 25-fold in two years

322.0new repos a month, January to July 2026, against 12.4 in 2024

Growth was slow through 2024, picked up in spring 2025 and jumped again in March 2026.

New GEO, AEO and AI SEO repos per month
01262523795052024-012024-062024-112025-042025-092026-022026-072026-10 (to 20th)

New repos

MonthNew repos
2024-017
2024-0211
2024-032
2024-044
2024-055
2024-0611
2024-079
2024-0819
2024-0916
2024-1020
2024-1114
2024-1231
2025-0121
2025-0238
2025-0323
2025-0450
2025-0573
2025-0667
2025-0784
2025-0877
2025-0985
2025-1087
2025-11113
2025-12102
2026-01178
2026-02180
2026-03343
2026-04393
2026-05369
2026-06451
2026-07340
2026-08148
2026-09165
2026-10 (to 20th)112

Source: aisearchoptimization.net analysis of 3,648 original GitHub repositories first seen Jan 2024 to Oct 2026 · GH Archive via BigQuery, October 2026

The drop after July 2026 lines up with gaps in GH Archive's own data collection in August and September, so we do not read it as a real slowdown. Even the lower months are far above anything seen in 2024.

GEO is replacing 'AI SEO' as the name developers use

31.0%of 2026 repos in this group use GEO terms in their names, up from 2.7% in 2024

Repo names show which label builders reach for. A repo can carry more than one label.

Share of new repos using each term
YearNew reposGEOAEOAI visibilityAI or LLM SEO
20241492.7% (4)0.0% (0)2.7% (4)94.6% (141)
20258208.4% (69)10.5% (86)11.5% (94)72.6% (595)
2026 (to Oct 20)2,67931.0% (831)18.1% (484)22.6% (606)36.7% (984)

Source: aisearchoptimization.net analysis of 3,648 original GitHub repositories first seen Jan 2024 to Oct 2026 · GH Archive via BigQuery, October 2026

In 2024 nearly every project called itself AI SEO. By 2026 GEO, AEO and AI visibility together outnumber it. The tools did not change much. The label did.

Audits and scores dominate what gets built

22.7%of 2026 repos (608 of 2,679) are audits, checkers or scoring tools

We sorted the 2,679 repos first seen in 2026 by keywords in their names.

2026 AI search optimization repos by type
Audit, checker or score
608
Optimizer or content generator
347
Plugin, skill or MCP server
217
Tracker or monitor
210
Website or app shell
162
Agent or automation
132
Guide, list or research
88
Other or unclear
915

Repos

TypeReposShare
Audit, checker or score60822.7
Optimizer or content generator34713
Plugin, skill or MCP server2178.1
Tracker or monitor2107.8
Website or app shell1626
Agent or automation1324.9
Guide, list or research883.3
Other or unclear91534.2

Source: aisearchoptimization.net analysis of 3,648 original GitHub repositories first seen Jan 2024 to Oct 2026 · GH Archive via BigQuery, October 2026

Checking a site is easy to automate, so most builders start there. Ongoing tracking is harder because it means running prompts on a schedule and storing results, and fewer than 8% of 2026 repos say they do it.

Almost none of these projects show outside interest

94.4%of the 3,648 repos have no recorded star

Stars are a rough signal of whether anyone besides the author cares about a project.

Recorded stars per repo
0
3,443
1 to 9
178
10 to 99
23
100 or more
4

Repos

StarsReposShare
03,44394.4
1 to 91784.9
10 to 99230.6
100 or more40.1

Source: aisearchoptimization.net analysis of 3,648 original GitHub repositories first seen Jan 2024 to Oct 2026 · GH Archive via BigQuery, October 2026

Only 166 repos (4.6%) were updated in three or more separate months. Most look like short-lived builds and demos. Star counts are understated for 2026 because GH Archive recorded fewer star events that year, but even the 2024 and 2025 projects show the same pattern.

What this means

The flood of free AI visibility checkers means you will see many conflicting scores for the same site. Most come from projects with no recorded stars and few updates. A score from a one-off script tells you little about whether ChatGPT or Google's AI answers actually mention your business. An AI SEO consultant will check the answers themselves rather than trust a score.

What matters is repeated testing of the questions your customers ask, tracked over time. That is the part almost nobody on GitHub builds. If you want a real read on where your business appears in AI answers, start with our free AI visibility audit, which uses the same live prompts an AEO agency should be tracking.

Limits

We matched repo names only. Projects that do AI search optimization without saying so in their name are missed, and some name matches will be unrelated despite tight patterns.

GH Archive stopped recording descriptions of newly created repos after October 8, 2025, so description matching was not possible across the full period.

First seen is the first recorded public event, not the exact creation date. Fork removal is a name-based heuristic.

GH Archive recorded far fewer star events in 2026, and its overall capture had gaps in October 2025 and August to October 2026. Counts for those months and 2026 star totals are understated.

Embed this research

Add the charts from this study to your page. The embed links back here.

<iframe src="https://aisearchoptimization.net/embed/data-studies/geo-ai-seo-github-repos-per-month" title="GEO and AI SEO Repos on GitHub Hit 322 a Month in 2026" width="100%" height="720" style="border:0" loading="lazy"></iframe>

Cite this study

APA

Grenyo, K. (2026). GEO and AI SEO Repos on GitHub Hit 322 a Month in 2026. AI Search Optimization. https://aisearchoptimization.net/resources/data-studies/geo-ai-seo-github-repos-per-month

Plain link

GEO and AI SEO Repos on GitHub Hit 322 a Month in 2026 - AI Search Optimization - https://aisearchoptimization.net/resources/data-studies/geo-ai-seo-github-repos-per-month

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Frequently asked questions

How many open-source GEO and AI SEO projects are there?

We counted 3,648 original GitHub repos with GEO, AEO, AI visibility or AI/LLM SEO in their names from January 2024 to October 20, 2026. 2,679 of them were first seen in 2026.

How fast is this category growing?

New repos averaged 12.4 a month in 2024, 68.3 a month in 2025 and 322.0 a month from January to July 2026. June 2026 had the most, with 451.

Are these tools widely used?

No. 94.4% have no recorded star and only 27 of 3,648 (0.7%) reached 10 stars. Only 4.6% were updated in three or more months.

What do most of these tools do?

In 2026, 22.7% are audits, checkers or scores and 13.0% are optimizers or content generators. Only 7.8% describe tracking or monitoring AI answers over time.

See where AI search leaves you out

Run the free AI visibility audit. If you want the fixes done for you, the plan is a flat $299/month.