HIGH SALIENCE / RESEARCH / SEO TOOLS TEARDOWN

TEARDOWN 20 · PUBLISHED · UPDATED · DATASET INCLUDED

100 SEO Tool Questions: What ChatGPT Recommends

We asked ChatGPT 100 SEO tool questions to see what it recommends, and Ahrefs was the pick in 55 answers, while Reddit ranked in Google for 77 questions and was never cited. Twentieth category, same method, rank tracking included: ChatGPT with web search on, Google's top ten as a control. Every answer was coded by two independent AI readers, who recorded not only which brands an answer recommends for a stated case but which ones it picks as its own verdict. Two suites share the verdicts: Semrush is picked in 46 answers to Ahrefs's 55, and at least one of them in 64. Specialists keep the narrower questions, and the free Google Search Console is picked in 22. The model reads the two leaders' own websites far more often than Google ranks them, and skips Reddit, the site Google ranks most.

This page was corrected on October 23, 2026. Since late September, Google has answered some automated searches with swapped results pages full of the wrong sites, and 57 of the 100 Google pages behind this teardown, collected on September 26, came back that way: fewer than half of their sites were on Google's page for the same question on October 23. For those 57 questions the Google control now uses the October 23 page, which moved the share of recommendations going to brands whose own site did not rank from 86 to 73 percent (83 to 69 percent of picks). ChatGPT's answers and every figure drawn only from them are unchanged, and the dataset below carries the corrected Google columns.

01Method

How we tested ChatGPT on SEO tools

We tested ChatGPT on SEO tools the same way as the earlier teardowns: same query structure, same coding, one new category.

Queries: 100 SEO tools queries built from the same templates as the earlier teardowns: 30 category, 30 comparison, 20 alternative and 20 recommendation. The full list is in the dataset.

Surface: ChatGPT with web search forced on, logged out, United States, English, via the DataForSEO scraper, one run per query, collected September 26, 2026.

Control: Google's top ten organic results for the same queries in the same window, via the DataForSEO SERP API at depth 20 and truncated to the first ten organic results; for the 57 questions whose September 26 page came back swapped, Google's top ten for the same question on October 23, 2026 (DataForSEO live, Web results only), as the correction note above explains.

Coding: every answer was coded by two independent AI readers (Claude agents working blind from a written protocol), with a third settling disagreements. They were not people. Each brand named was coded picked (the answer's own verdict: "my pick", "choose X if", a shortlist it tells you to act on, the #1 of its ranking), recommended (assigned to a stated case or fit, such as "best for small teams", without being the answer's verdict), listed (named as an option, no fit given), passing (named but not offered as an option) or anchor (the brand being replaced in an "alternatives" query), against a 54-brand dictionary fixed before collection, under codebook v2.0. "Recommended" in the tables includes picked brands. The two readers agreed on 97.6% of brand codes in this teardown (99.3% at the recommended level). Cited URLs were deduplicated to their domain and classed as first-party or third-party. The third reader decided 10 of the 413 brand codes in this teardown. A rules-based first pass (the codebook v1.6 rules) agreed with the final codes on 96.1 percent at the recommended level; only the reader codes are published. The readers also coded six brand mentions that no dictionary alias matched (named by meaning or only by a web address); those rows are in the dataset.

Collection note: the ChatGPT answers and the Google controls were collected on September 26, 2026 through the DataForSEO standard queue, with raw responses saved exactly as returned; the raw files carry UTC timestamps, early September 27. No task failed and none was re-run. Rank tracking is treated as part of the category, so the question set includes rank tracker, local, backlink, technical audit, content optimization and AI visibility questions. Products owned by one company are folded into one row (Moz includes STAT, Mangools includes KWFinder, Conductor includes ContentKing and Searchmetrics). Search Console, Keyword Planner, Analytics and Trends share google.com, so a google.com citation is not attributed to any one of them. Four aliases that are also ordinary words (Surfer, Conductor, Majestic, Profound) match only when capitalized. Three answers did not answer the question: two stopped after a one-sentence preamble, and one read "profound alternative for smaller brands" as a question about wording. They are kept as returned.

One run per query, so this is a teardown, not the benchmark. Frequencies describe this window only. Absence means not observed in this sample, never zero visibility.

02Findings

Which SEO tools does ChatGPT recommend most?

The SEO tool ChatGPT recommended most often was Ahrefs, in 59 of 100 answers, and Ahrefs was its own pick in 55 of the 100. In short: two suites, specialist lanes, and a reading list that skips Reddit.

Bar chart of 9 SEO tool brands showing, out of 100 ChatGPT answers, how many each appears in, how many recommend it and how many pick it. Ahrefs 60, 59 and 55, Semrush 56, 55 and 46, SE Ranking 30, 30 and 28, Google Search Console 29, 28 and 22, Moz 20, 19 and 8, Mangools 16, 14 and 11, Screaming Frog 15, 15 and 14, Ubersuggest 15, 15 and 13, AccuRanker 10, 9 and 9.
BrandAppears inRecommended inPicked inPicked share of appearances
Ahrefs60595592%
Semrush56554682%
SE Ranking30302893%
Google Search Console29282276%
Moz2019840%
Mangools16141169%
Screaming Frog15151493%
Ubersuggest15151387%
AccuRanker109990%

Each linked brand has its own page: how ChatGPT recommends every brand in this dataset, with positioning labels, head-to-head results and sources.

Out of 100 answers, codebook v2.0. "Picked" means the answer itself chose the brand as its verdict, overall or for a case. "Recommended" means the answer assigned the brand to a stated case or fit, and includes picked brands. "Appears" adds brands named as an option with no fit. The brand being replaced in an "alternatives" query is excluded from all columns.

Two suites share the verdicts

Most verdicts include one of two suites, Ahrefs or Semrush. Ahrefs is named in 60 of 100 answers, recommended in 59 and picked as the answer's own choice in 55. Semrush is named in 56, recommended in 55 and picked in 46. They are picked together in 37 answers, and at least one of them is picked in 64. SE Ranking is third, named in 30 and picked in 28. On the 20 direct advice questions, every answer picked at least one dictionary brand: Ahrefs in 14, Semrush in 12, both in 12. The four head-to-heads that name both picked both, and three of them draw the same line: Semrush for a broader marketing or agency toolkit, Ahrefs for deeper SEO research, content and links. The fourth, about tracking AI Overviews, leans Semrush. Across all 30 head-to-heads, 29 picked every brand named; the other was a one-sentence answer that never made the comparison.

Moz is described more than it is chosen

Moz shows up as a described option far more often than as a pick. Among brands named in 15 or more answers, Moz has the widest gap between recommended and picked: named in 20 answers, recommended in 19, picked in 8. Five of those 8 picks came in head-to-heads that name Moz. In the 15 answers to questions that do not name it, Moz was picked 3 times; elsewhere it was the beginner-friendly or simpler option in a list of fits. Semrush has the next gap, 9 answers, and in three of them it is recommended only to buyers who already use it. Six answers picked no dictionary brand at all. Three never answered the question, one described eight popular tools without a verdict, one listed eight SE Ranking alternatives without saying who each suits, and one picked free crawlers outside the dictionary.

Specialist questions go to specialists

Narrow questions mostly go to specialist tools. In the 15 rank tracking questions, AccuRanker and SE Ranking were each picked in 9, ahead of Ahrefs, Semrush, Nightwatch and Wincher (5 each). BrightLocal was picked in all three local SEO questions and Local Falcon in two. Enterprise questions went to BrightEdge and Conductor (5 of 6 each) and seoClarity (3). WordPress and Shopify questions went to Yoast SEO (4 of 5), Rank Math and All in One SEO; crawling questions to Sitebulb (4 of 5) and Screaming Frog. Content optimization went to Surfer and Clearscope (4 each), Frase and MarketMuse (3 each). Across these 39 lane questions, Ahrefs or Semrush was picked in 13, and in each of them next to a specialist pick.

AI visibility is the exception

In the five AI visibility questions that name no brand, Ahrefs was picked in all five. The dedicated tracker Otterly.AI was picked in three; Semrush, SE Ranking, Profound and Peec AI in two each. Asked which tool shows whether ChatGPT mentions a brand, the only dictionary pick was Ahrefs's free AI visibility checker, with a tracker outside the dictionary, Siftly, suggested for ongoing monitoring. We compare those trackers, and what each one actually checks, in our roundup of ChatGPT SEO tracking tools. The question asking for a Profound alternative for smaller brands was read as a question about wording, and the answer named no tool.

Reddit ranks, and is never cited

Reddit is the site Google ranks most here, and ChatGPT never cites it. Google's top ten for these 100 questions is 80 percent third-party pages: reddit.com is in the top ten for 77 of the questions and in first place for 36. Quora is in the top ten for 23 and YouTube for 36. ChatGPT cited none of them. Reddit and Wikipedia have zero citations, for the twentieth teardown running. Of the 309 picked brand mentions, 214 were for brands whose own website did not rank in Google's top ten for the question, 69 percent. Ahrefs's own site ranked for 9 of the 55 questions where it was picked, Semrush's for 14 of 46.

The vendors write the reading list

The vendors themselves supply most of the reading list. Across 100 answers there were 306 citation events to 130 domains. Vendors' own sites took 170 of them, 56 percent, and 49 answers cited nothing but vendor pages. ahrefs.com is cited in 42 answers, 31 of them to questions that never mention Ahrefs; semrush.com is cited in 38, 27 of them to questions that never mention Semrush. The two domains account for 80 of the 306 citation events, yet ahrefs.com ranks in Google's top ten for only 9 of the 100 questions and semrush.com for 15. No independent site comes close: the most-cited third party, techcognate.com, appears in 5 answers.

Seventy-five of the 306 citation events involved a domain that also sat in Google's top ten for that query, 25 percent.

0320 categories, side by side

ChatGPT's SEO tool answers vs other categories

The table sets ChatGPT's SEO tool answers beside the other categories tested earlier in the series, side by side under the same rulebook.

Measure (codebook v2.0)Project management, Sept 8CRM, Sept 17Email marketing, Sept 17Help desk, Sept 17Accounting, Sept 17Payment processing, Sept 17Payroll, Sept 21HR software, Sept 26Applicant tracking, Sept 26Password managers, Sept 26Endpoint security, Sept 26Business intelligence, Sept 26Data warehouse and ETL, Sept 26Ecommerce platforms, Sept 26Website builders, Sept 26Scheduling, Sept 26Video conferencing, Sept 26E-signature, Sept 26Marketing automation, Sept 26SEO tools, Sept 26
Recommendations per category answer (average)5.94.35.05.54.34.24.65.04.53.44.75.04.54.34.33.44.04.64.44.3
Answers with no recommended dictionary brand1 of 1005 of 1001 of 1001 of 1000 of 1005 of 1001 of 1006 of 1005 of 1003 of 1003 of 1003 of 1002 of 1003 of 1000 of 1005 of 1001 of 1006 of 1004 of 1004 of 100
Answers with no pick (the answer's own verdict)2 of 10011 of 1002 of 1004 of 1009 of 10022 of 10019 of 10017 of 10012 of 1007 of 1007 of 1005 of 1003 of 1007 of 1002 of 1008 of 1008 of 10011 of 1009 of 1006 of 100
Most-recommended brand: appears / recommendedAsana 73 / 73HubSpot 75 / 74Mailchimp 58 / 56Zendesk 70 / 69QuickBooks 75 / 73Stripe 70 / 68Gusto 73 / 73Rippling 58 / 57Workable 53 / 52Bitwarden 84 / 82Microsoft Defender 68 / 67Power BI 75 / 73Snowflake 50 / 50Shopify 75 / 75Wix 70 / 70Calendly 57 / 56Zoom 76 / 73DocuSign 67 / 65HubSpot 64 / 63Ahrefs 60 / 59
Most-picked brand: appears / pickedAsana 73 / 70HubSpot 75 / 69Mailchimp 58 / 44Zendesk 70 / 61QuickBooks 75 / 65Stripe 70 / 54Gusto 73 / 61Rippling 58 / 50Workable 53 / 47Bitwarden 84 / 78Microsoft Defender 68 / 62Power BI 75 / 69Snowflake 50 / 46Shopify 75 / 69Wix 70 / 62Calendly 57 / 51Zoom 76 / 63DocuSign 67 / 62HubSpot 64 / 57Ahrefs 60 / 55
Head-to-head queries recommending every named brand30 of 3028 of 3030 of 3029 of 3026 of 3028 of 3030 of 3028 of 3029 of 3028 of 3030 of 3029 of 3028 of 3028 of 3030 of 3029 of 3030 of 3026 of 3030 of 3029 of 30
Head-to-head queries picking every named brand30 of 3023 of 3029 of 3029 of 3025 of 3019 of 3021 of 3021 of 3029 of 3027 of 3029 of 3029 of 3028 of 3027 of 3029 of 3029 of 3026 of 3025 of 3030 of 3029 of 30
Recommendation-intent queries with a dictionary recommendation19 of 2018 of 2020 of 2020 of 2020 of 2019 of 2020 of 2018 of 2020 of 2019 of 2019 of 2020 of 2020 of 2019 of 2020 of 2019 of 2019 of 2020 of 2019 of 2020 of 20
Recommendation-intent queries with a pick19 of 2018 of 2020 of 2020 of 2019 of 2018 of 2020 of 2018 of 2020 of 2019 of 2019 of 2020 of 2020 of 2019 of 2020 of 2019 of 2019 of 2020 of 2018 of 2020 of 20
Recommended mentions where the brand does not rank in Google's top 10398 of 468 (85%)269 of 387 (70%)313 of 419 (75%)350 of 445 (79%)206 of 368 (56%)294 of 360 (82%)202 of 383 (53%)288 of 405 (71%)313 of 388 (81%)202 of 304 (66%)258 of 369 (70%)346 of 401 (86%)339 of 426 (80%)296 of 376 (79%)294 of 376 (78%)220 of 325 (68%)273 of 349 (78%)241 of 368 (65%)283 of 352 (80%)267 of 366 (73%)
Picked mentions where the brand does not rank in Google's top 10349 of 416 (84%)226 of 330 (68%)270 of 370 (73%)291 of 380 (77%)141 of 279 (51%)170 of 222 (77%)113 of 246 (46%)214 of 311 (69%)244 of 311 (78%)148 of 241 (61%)217 of 319 (68%)287 of 336 (85%)284 of 365 (78%)214 of 285 (75%)239 of 309 (77%)180 of 276 (65%)209 of 271 (77%)191 of 308 (62%)243 of 306 (79%)214 of 309 (69%)
Google top 10 that is third-party pages746 of 1,000 (75%)710 of 1,000 (71%)720 of 1,000 (72%)714 of 1,000 (71%)743 of 1,000 (74%)787 of 1,000 (79%)653 of 1,000 (65%)772 of 1,000 (77%)837 of 1,000 (84%)841 of 1,000 (84%)730 of 1,000 (73%)770 of 1,000 (77%)718 of 1,000 (72%)831 of 1,000 (83%)878 of 1,000 (88%)712 of 1,000 (71%)821 of 1,000 (82%)586 of 1,000 (59%)831 of 1,000 (83%)799 of 1,000 (80%)
Citation events to vendors' own sites216 of 362 (60%)136 of 320 (42%)193 of 367 (53%)152 of 345 (44%)125 of 302 (41%)161 of 301 (53%)192 of 314 (61%)167 of 325 (51%)139 of 311 (45%)201 of 292 (69%)149 of 266 (56%)190 of 274 (69%)197 of 267 (74%)194 of 277 (70%)189 of 331 (57%)137 of 296 (46%)170 of 280 (61%)191 of 302 (63%)190 of 301 (63%)170 of 306 (56%)
Answers citing only vendor pages50 of 10040 of 10037 of 10027 of 10034 of 10047 of 10049 of 10034 of 10030 of 10065 of 10044 of 10060 of 10060 of 10055 of 10041 of 10042 of 10052 of 10044 of 10047 of 10049 of 100
Share of citations in the 10 most-cited domains54%40%42%45%55%58%55%46%44%72%58%62%60%61%54%35%54%57%53%42%
Citation events whose domain is in Google's top 1083 of 362 (23%)83 of 320 (26%)97 of 367 (26%)80 of 345 (23%)99 of 302 (33%)98 of 301 (33%)134 of 314 (43%)101 of 325 (31%)86 of 311 (28%)103 of 292 (35%)80 of 266 (30%)55 of 274 (20%)74 of 267 (28%)74 of 277 (27%)74 of 331 (22%)84 of 296 (28%)59 of 280 (21%)101 of 302 (33%)77 of 301 (26%)75 of 306 (25%)
Reddit and Wikipedia citations00000000000000000000

All columns are coded under codebook v2.0 by two independent AI readers per answer; the project management column is the September 8 dataset recoded under it. Each teardown is one run per query in its own window, so differences between columns mix category with collection date.

04What this changes

What ChatGPT's recommendations mean for SEO tool brands

What ChatGPT's recommendations mean for SEO tool brands comes down to four things, in order.

Your own pages are read for other people's questions. ahrefs.com and semrush.com were cited in 31 and 27 answers to questions that do not mention them, while ranking in Google's top ten for 9 and 15 of the 100 questions. In this category the model reads vendor guides and comparison pages far more often than Google ranks them.

A lane beats a general pitch. Two suites share the general questions. The other vendors that were picked were picked for a stated job: rank tracking, local, enterprise, plugins, crawling, content. Where a suite was picked on those questions, it was picked next to a specialist. Say plainly which job you do and for whom.

Being described is not being chosen. Moz was named in 20 answers and picked in 8, mostly offered as the simpler or beginner option in a list. Whether the answer picks you is a different measure from whether it names you.

Free tools are part of the verdict. Google Search Console was picked in 22 answers, never to a question that named it, and in 9 of the 20 direct advice questions, each time alongside at least one tool that is not Google's. A paid product is weighed against a free starting point, not just against other paid products.

Agencies can be judged the same way. Before you hire one, see how the best AI SEO agencies compare on what they publish: focus, pricing, research, results and method.

05Limitations

Limitations of the ChatGPT SEO tool test

The limitations of the ChatGPT SEO tool test start with variance: one run per query means answer variance is unmeasured; Benchmark 01 runs each query three times across three surfaces. The teardowns are collected on different days, so differences between categories mix the category with the date. The brand dictionary covers the general SEO tools market and deliberately excludes vertical tools, so their appearances are described in prose and not counted. The readers are AI models, not people: they follow a written protocol and agree with each other closely, but a shared blind spot would not show up as disagreement. The line between picked and recommended is a judgment, documented in the protocol with examples. Sentiment is not coded. No vendor-tool cross-check was read for this category. Google's control counts a brand as ranking only when its own domain is in the top ten; a listicle that features the brand does not count. One run per question, one day, United States, English, logged out. Answers vary between runs, so these are frequencies for this sample. Three answers did not answer their question. Shopify SEO apps, several free crawlers and some newer AI visibility trackers are not in the dictionary, so answers that pick them undercount those picks. Four Google tools share google.com, so their citations are counted together.

06Dataset

Download the ChatGPT SEO tool dataset

Every number above can be recomputed from the ChatGPT SEO tool dataset below, so download it and check it rather than believe it. CC BY 4.0: use the files, cite the page.

  • queries.csv: the 100 queries with intent labels.
  • brands.csv: the 54-brand dictionary with aliases and canonical domains.
  • mentions.csv: 413 coded brand mentions with position, type, a 0/1 picked column and whether the brand's domain was in Google's top ten.
  • citations.csv: 306 citation events with domain class and Google overlap.
  • observations.csv: one row per query with brand, recommendation, citation and control counts.
  • google-control.csv: the Google top ten used as the control for each query, and for the 57 queries whose September 26 page came back swapped, that page beside the October 23 page that replaced it (added October 23, 2026).
  • coder-notes.md: coding method and agreement, the judgment calls the AI readers and the third reader made in this category, and dictionary notes.
  • codebook.md: the rulebook, with dated amendments through v2.0.
  • reader-protocol.md: the written protocol both readers coded against (codebook v2.0).
  • picked_stats.json: the picked-level figures.

The earlier teardowns: Teardown 01, project management, Teardown 02, CRM, Teardown 03, email marketing, Teardown 04, help desk, Teardown 05, accounting, Teardown 06, payment processing, Teardown 07, payroll, Teardown 08, HR software, Teardown 09, applicant tracking, Teardown 10, password managers, Teardown 11, endpoint security, Teardown 12, business intelligence, Teardown 13, data warehouse and ETL, Teardown 14, ecommerce platforms, Teardown 15, website builders, Teardown 16, scheduling, Teardown 17, video conferencing, Teardown 18, e-signature, Teardown 19, marketing automation.

Get the ChatGPT SEO tool test for your own category

The ChatGPT test we ran on SEO tools can be run on your own category too. In the wider series: twenty categories, and the reading list is still the story.

In SEO tools the model reads the two most-picked vendors' own websites far more often than Google ranks them, and skips the forum Google ranks most. In password managers it reads the vendors' sites; in applicant tracking, a comparison library that does not rank. Finding out what the model is reading for your category is the first thing a Category Salience Brief does, with a query set you approve first.

Measuring answers like these before and after every change is how AI search optimization should be judged.

This category map is the starting point of our B2B software SEO engagements for companies selling SEO tools.